MASON WILHELM Driven by Saigan

Intelligence-Led
Leadership Advisory

A multi-agentic, data-led approach to provide a readily consumable information layer on decades of top-tier search experience.

When combined with our insight and specialist market knowledge, the result becomes a true intelligence-led leadership advisory service.

Where we get the call

Click into the situation that matches the conversation you're having.

The Engine

Driven by Saigan

One proprietary intelligence platform beneath all six. A single data lake, multi-agentic processing, microservice connectivity to global research — and the foundation for an ongoing executive talent service.

How it works
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Situation · 04

When the team needs to be seen, not asserted

The combined leadership team appointed with data-led evidence and insight — not on negotiation, nor on inherited evaluations carried over from either prior organisation. A digital, real-time view of team dynamics, quantified in the platform's architecture rather than asserted in a deck. Equally true when a portfolio of companies is being consolidated under a single operating model.

What's at stake

The first ninety days set the tone for everything that follows. Retention decisions, culture decisions, structural decisions — all of them benefit from the same evidence base, applied identically to every leader in scope.

Two ELTs to One ELT — cohort competency radar comparing the full cohort against the modelled future ELT, with cognitive, psychometric, competence and motivation read-outs beneath.
Two ELTs → One ELT — when two leadership teams combine, every leader is measured against the same framework. Each radar maps a team's collective strength across eight executive competencies: at left, the full combined cohort (24 leaders); at right, the modelled future ELT (12) drawn from it. The four panels beneath show how cognitive, psychometric, competence and motivation scores shift from the current cohort to the modelled team.

Where traditional integration relies on inherited evaluations and the politics of who-knows-whom, this turns the combined team into a single live data set — every leader visible against the same metrics, every relativity quantified, every scenario modellable on the fly. The Board sees the team as a system, not a stack of CVs.

Where this gets called in

  • A fresh evaluation of existing leadership team — a capability and cultural assessment of an existing team, potentially going through transformation.
  • M&A — calibrate the combined ELT before naming it. Defensible at the board table; fair across both prior teams.
  • Multi-entity consolidation — bringing a portfolio of operating companies under a single leadership model. One framework, applied across all entities and geographies.
  • Post-acquisition integration — talent retention decisions in the first ninety days. Who to invest in, who to exit, where to bring outside hires — on evidence, not impression.
  • JV consolidation — when joint-venture leadership has to integrate into the parent without losing the people who made it work.
Assessment · Primary Search · External Gaps Engine
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Situation · 04 · Showing It

Four domains. One integrated view of every leader.

Each executive evaluated across the four domains where leadership effectiveness, fit and potential actually live — cognitive, psychometric, competence and motivation. A dynamic team assessment and modelling exercise to visualise every eventuality. Triangulated through dedicated instruments plus a structured competency interview. Two consultants in every conversation.

Domain 01
Experience
Track record — roles held, scale managed, outcomes delivered. External referencing + structured CV analysis + STAR interview.
Domain 02
Competence
Behaviour against 20 universal competencies, role-calibrated. SHL OPQ32 UCR + STAR interview, two consultants.
Domain 03
Motivation
18 motivational dimensions across Energy, Synergy, Intrinsic and Extrinsic factors. SHL MQ.M5.
Domain 04
Potential
Cognitive horsepower plus personality predictors of stretch. SHL Verify Interactive + OPQ32 32-dimension profile.

Four stages, one process — ten weeks

Wks 1–2
Cognitive
Inductive · numerical · deductive
Wks 3–4
Psychometric
OPQ32 · MQ.M5
Wks 5–7
Interviews
STAR · two consultants
Wks 8–9
Synthesis
Individual + cohort + dashboard
Week 10
Board Report
Evidence-led recommendations

The cohort, on one page

Dynamic, not static. The whole leadership team in a single live view — segmentable, scenario-modellable, refreshable as the organisation evolves.

  • Heatmap relativities across psychometric and cognitive metrics.
  • Filterable segmentation — legacy entity, function, geography, gender, potential.
  • "What if?" modelling — impact of losing a key leader or bringing one in.
  • Combination planning — design the future-state ELT against the data, not the org chart inherited from a prior chapter.
  • Two parallel reports per executive — a development-oriented report for them, a deployment-decision report for the Board.
Cohort assessment dashboard — top-left: Personality (OPQ32) stem scores across Relationships With People and Thinking Style. Top-right: Motivation (MQ.M5) standardised-score spider web across Energy, Synergy, Intrinsic and Extrinsic drivers. Bottom-left: Competency (UCF) likelihood scores across Leading, Supporting, Interacting, Analysing, Creating and Organising. Bottom-right: Motivational drivers, highlights and weaker substrates per executive.
Cohort Spider Web (OPQ Competency) — personality, motivation, competency and drivers, on one page.
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Situation · 04 · Example

Leadership calibration across a multi-entity merger

Anonymised. A consolidated leadership team built on evidence rather than on the politics of either prior organisation — across multiple business units and geographies, on one framework, in twelve weeks.

Integration & Merger Multi-Entity Multi-Geography Day-100 Decisions

The brief

Combine the executive teams of two legacy organisations — and their underlying business units across multiple geographies — into a single future-state ELT. No inherited evaluations. No "this is how we did it on our side". One assessment framework, applied identically to every leader at the top two levels.

The approach

Four domains, four stages, twelve weeks. Two consultants per interview: one with deep market expertise, one with assessment specialisation. Same instruments, same scales, same competency framework — across every executive in scope, regardless of which legacy organisation they sat in.

The outcome

  • Defensible appointments — every seat backed by the same evidence, in the same format, comparable across both legacy teams.
  • Retention & development plans for the leaders not selected for the future-state team but critical short-to-medium term.
  • CEO-2 pipeline identified for longer-term succession — investment going where it returns.
  • Live enterprise dashboard for the Board, refreshable post-Day-100 as the new team begins operating.
Anonymised leadership calibration across a multi-entity merger: legacy entities A, B and C assessed through one framework, with calibrated leader IDs, fit scores, risk levels and future-state ELT recommendations.
Leadership calibration across a multi-entity merger — anonymised cohort view, common framework and future-state slate.

When the decision has to be defensible, start with the evidence.

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Situation · 05

When the Board asks who is ready, who is at risk and where the gaps are

Talent reviews happen once a year; leadership risk moves every week. The Board wants one view it can open at any time — every leadership seat, how long its holder is likely to stay, who could step in, and how far each successor is from ready — rather than a pack rebuilt before each meeting.

What's at stake

Most organisations know their top team well and the layer beneath it poorly. Successors are named in a review and then left untracked; flight risk surfaces when a resignation lands; capable leaders in one business unit are invisible to the next. The cost shows up as an external search that need not have happened, or an internal move that came a year too late.

Seat exposure heatmap: ten business units (rows) by seven leadership seats (columns), each cell scored 0 to 100 for exposure and marked covered, partial or exposed for succession. Right: a feed of the week's changes, including band changes, successors becoming ready and market moves. All companies and people are fictional.
Seat Exposure — every leadership seat scored on tenure risk, succession gap and market depth, with the week's changes alongside.

Where this gets called in

  • Internal mobility — leaders who could move across business units or portfolio companies, surfaced before an external search is opened.
  • Capability gaps — the distance between each successor and the seat they are named for, competency by competency.
  • Executive flight risk — a runway score for every incumbent: how far through their typical job cycle they are, blended with market norms.
  • Readiness versus potential — every named successor placed by performance and potential, with a readiness date that moves as reviews come in.
  • Functional succession cover — seat by seat: covered, partial or exposed, and how deep the external bench runs if nobody inside is ready.
  • Risk alerts — a weekly feed of what changed in the leadership team and in its markets, so the Board hears it first.

Images are from a pseudonymised demonstration build. Every company, name, headshot, score and event shown is fictional.

Engine · Primary Succession · Internal Bench Assessment · Readiness
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Situation · 05 · Showing It

One living view of the leadership bench

Saigan joins the assessments and talent reviews you already hold with the external market it maps continuously, and regenerates the dashboard each week. Assessment data stays in your own instance.

What the dashboards show

View 01
Readiness & Potential
Every C-1 and C-2 successor on a performance and potential grid, with the competency gaps to close for the seat they are named for.
View 02
Succession Cover
Bench depth by business and seat — ready now, one to two years, three years or more — and which seats have no internal answer.
View 03
Flight Risk & Alerts
A runway score for every incumbent, projected forward, and a weekly feed of band changes, successor moves and market events.
Nine-box grid of 135 named successors by performance and potential, drawn as illustrated avatars, with a profile panel showing one successor's target seat, readiness of about 18 months and competency gaps to the seat profile. All people are fictional.
Readiness versus Potential — each face a named successor; gold rings mark leaders who could move to another business. The profile shows the gap to the target seat.

Functional succession cover

Cover is read seat by seat rather than as a single bench count. A business can carry fifteen named successors and still have its CFO seat exposed.

Left: stacked bars of named successors by readiness (ready now, one to two years, three years or more) for ten business units. Right: donut of 67 seats — 23 covered, 35 partial, 9 exposed. All data is fictional.
Succession Cover — named successors by readiness for each business, and the cover status of every seat.
  • Board and executive views — the same data at two levels: the Board sees exposure and cover; the executive team sees the individual development plans behind them.
  • Live weights — the Board can change how much tenure risk, succession gaps and market depth count, and watch the priority seats re-order.
  • Regenerated, not rebuilt — each week from public market sources and your own reviews, with a person checking every judgement before it reaches the page.

Images are from a pseudonymised demonstration build. Every company, name, headshot, score and event shown is fictional.

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Situation · 05 · Example

A portfolio-wide view in practice

Illustrative. A pseudonymised build for a private-equity sponsor holding ten portfolio companies: 67 leadership seats, 135 named successors, and the external market for each critical role.

Internal Mobility Board Dashboards Portfolio

The brief

An operating partner responsible for leadership across a portfolio wanted one view of every leadership team, without asking ten management teams for ten talent packs. Two questions mattered most: which seats are likely to turn over before exit, and where could a leader in one company fill a gap in another.

What the view revealed

  • Eight seats were already in the flight-risk band, and close to thirty more were projected to reach it before the planned exit — the timing question the hold period turns on.
  • Nine seats had no successor ready within two years; more than half the rest were covered only by leaders one to two years from ready.
  • Seventeen leaders were viable successors in a sister company — a bench no single portfolio company could have built on its own.
Left: priority seats table ranked by exposure, with runway band and succession cover. Right: each company's illustrative hold period as a bar, with markers where seats are projected to reach the flight-risk band before or after exit. All companies and people are fictional.
Priority Seats and Leadership through Exit — where a conversation is due now, and which seats reach flight risk before the illustrative exit.
Table of leaders ready to move between portfolio companies: name, current role, home company, the seat they could move to, that seat's runway band and cover, performance and potential, and main development gap. All companies and people are fictional.
Cross-Portfolio Talent Pool — leaders who could move between companies, the seat they could fill, its status today and their main gap.

The outcome

A dashboard the operating partner opens rather than requests. Priority seats ranked each week; development plans aimed at the gaps that block a move; and internal candidates in view before any external search is opened.

Images are from a pseudonymised demonstration build. Every company, name, headshot, score and event shown is fictional.

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Situation · 06

When every search should run on the same evidenced process

A search produces a dozen documents, and most are rebuilt by hand from the one before — the brief retyped into a position description, the scales into interview guides, the shortlist into a status deck. Saigan writes each document from the same engagement record, so every stage starts from what the last one established.

What's at stake

The quality of a search shows in its documents, and so do its gaps. When each one is drafted separately, the brief drifts between the position description and the interview, ratings are hard to trace back to evidence, and the reasoning behind a shortlist lives in someone's inbox. The visible cost is time; the larger risk is an appointment decision nobody can reconstruct.

Six document thumbnails in search order: a position description page, an assessment scales matrix, a fit-to-brief heatmap, a status update cover, a candidate report page and a reference report cover, labelled Brief, Shortlist, Assess and Appoint. All clients and candidates are fictional.
The Documents of a Search — six of the outputs written from one engagement record, from brief to appointment.

Where this gets called in

  • Engagement set-up — the client briefing, from a position description, a transcript or notes, becomes a validated engagement record whose search fields drive longlist scoring from day one.
  • Position description and assessment scales — drafted from the briefing; the scales set out threshold experiences and defining competencies on a five-level matrix the consultant confirms.
  • Longlist ranking — every mapped executive scored against the brief on five weighted dimensions: functional experience, industry relevance, company calibre, leadership scale and cultural fit.
  • Status updates and fit to brief — client-ready decks with commentary drafted from the record, led by a heatmap of the cohort against the client's own scales.
  • Interview packs and candidate reports — interview guides aimed at what the scales have not yet evidenced; candidate reports drafted from resume, interview transcript and rubric.
  • Comparative assessment and references — the shortlist scored side by side with every gap named; reference reports pre-filled with verbatim quotes from recorded conversations.

Images are from pseudonymised example documents. Every client, candidate, referee and figure shown is fictional.

Search · Primary Assessment · Scales Engine
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Situation · 06 · Showing It

One record, every document

Each step reads the engagement record and what earlier steps produced, then writes the next document in Mason Wilhelm format. The consultant reviews and confirms every judgement before anything reaches the client.

How the process holds together

Principle 01
Written Once
The brief and the scales are set at the start. Every later document reads them rather than restating them, so the definition of the role cannot drift.
Principle 02
Evidenced
Every rating traces to a source — the database record, a resume or an interview — and an inference is marked as an inference, never passed off as fact.
Principle 03
Built On, Not Rebuilt
Each document starts from the last: interview guides from the gaps, reports from the interviews, and later rounds from earlier transcripts.
Fit-to-brief heatmap for a Head of Engineering search: nine candidates as rows, five threshold experiences and four defining competencies as columns, each cell rated 2 to 5, with unevidenced cells hatched and inferred ratings underlined. All candidates and the client are fictional.
Fit to Brief — each candidate rated against the client's own scales; the number is the level, the shade its standing in the cohort, and inferred ratings are underlined.

The scales come first

The assessment scales are the spine of the process. Written at the brief, they score the longlist, lead the status update, shape the interview questions and anchor the comparative assessment — so every candidate is judged against the same definition from the first call to the final report.

Assessment scales matrix for a Head of Engineering role: rows for levels 5.0 and 4.0 with summaries, columns for five threshold experiences and four competencies, each cell describing the evidence expected at that level. The client is fictional.
Assessment Scales Matrix — threshold experiences and defining competencies, each written out at five levels.
  • Interview packs aimed at the gaps — probes target what the scales left unevidenced, with listening criteria that separate level four from level five; later rounds read earlier transcripts so no question is asked twice.
  • Comparative assessment — the shortlist scored side by side against the written anchors, capped by documented evidence, with every gap named.
  • In the consultant's voice — candidate reports can be drafted in a consultant's own writing-style profile, then edited in the browser before they are sent.
  • Mason Wilhelm format — branded, client-ready documents, with internal working papers kept unbranded.

Images are from pseudonymised example documents. Every client, candidate, referee and figure shown is fictional.

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Situation · 06 · Example

A search, documented end to end

Illustrative. A Head of Engineering search for a pseudonymised regional bank, shown through the documents the process produced.

Search Process Automation Executive Search Evidenced Record

The brief

A regional bank needed a Head of Engineering to stabilise a legacy estate while building a new engineering function — two briefs in one seat. The client wanted to see how each candidate measured against both, not a stack of CVs.

What the process produced

  • A position description and a nine-part scales matrix — five threshold experiences and four competencies — drafted from the briefing and confirmed before the market was approached.
  • A fit-to-brief heatmap of the nine-candidate shortlist in front of the status update: 76 of 81 ratings evidenced, and the five that were not shown as gaps rather than guessed.
  • Interview guides aimed at those gaps, followed by candidate and reference reports in the same format, written from the same record.
Three document pages side by side: a candidate report cover, the candidate report's Areas of Consideration page, and a reference report cover. All candidates, referees and companies are fictional.
Candidate and Reference Reports — the later documents of a search, in the same format. Shown from other pseudonymised examples.

The outcome

Every stage started from what the last one had established. The client received one consistent set of documents; the firm kept a complete, evidenced record of why each candidate progressed — ready for the next search into the same market.

Images are from pseudonymised example documents. Every client, candidate, referee and figure shown is fictional.

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Situation · 03

When the next CEO-1 conversation is 12–36 months out

Succession is a relationship, not an event. Reactive succession is expensive and limits options. Proactive succession is a continuous mapping engagement that turns "we've got someone in mind" into a benchmarked, refreshable bench — internal and external — that the Board can interrogate.

What's at stake

The people two and three steps below the CEO matter as much as the CEO — and a list of names in a deck isn't a succession strategy. The Board needs to see the live universe, with internal candidates benchmarked against external reality, and the early signals when the external benchmark moves.

Live Succession Map — four CEO-1 seats (CFO, COO, CTO, CHRO) each shown with internal bench candidates ranked by readiness and external benchmarks alongside. Status indicators show readiness, tenure curve and flight risk.
Live Succession Map — every CEO-1 seat, internal bench and external benchmark side by side. Refreshable.

Where this gets called in

  • CEO-1 readiness — internal candidates benchmarked against the external universe. Quantified, not asserted.
  • CEO-2 pipeline mapping — the bench two layers down. Where it's deep, where it's thin, where to invest.
  • Emergency-transition contingency — the named alternates the Board would turn to in the first 48 hours of an unplanned exit.
  • Capability-shift succession — when the next chapter requires skills the current bench wasn't built for (digital, capital markets, geographic expansion).
Succession · Primary Assessment · Bench Eval Engine
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Situation · 03 · Showing It

The succession universe, continuously mapped

Where the executives in your succession universe came from, where they're going, how stable they are, and who you've never spoken to but should.

Three pillars of intelligence

Pillar 01
Talent Flow & Origin
Executive movement across industries and geographies, mapped over time. Surface under-utilised pools; prevent recycling the same names.
Pillar 02
Predictive Risk Scoring
Career-history, tenure and inflection-point analysis. Scores "gettability" of external targets; identifies internal flight risk.
Pillar 03
Performance Benchmarking
Aggregate-data benchmarking against market standards for capability, experience and compensation.

What the dashboard reveals

  • Talent flows — who hires from whom, in your sector and adjacent ones. The pipelines you already use; the ones you don't.
  • Flight-risk distribution — across your peer set, who is statistically overdue a move. A market signal, not a single profile.
  • Stability profile — Embedded · Settled · Settling · Watch · Flight Risk — sorted by at-risk concentration.
  • Origin profile — how much of your sector's leadership came from within it, and what that means for who to look at next.
  • Continuous, refreshable — not a quarterly anxiety. The map updates as the market moves.

Stability, by company

An aggregate read of the peer set — surfaces which competitors are about to lose senior leaders, and where the talent will land when they do. "The biggest succession event waiting to happen sometimes sits next door."

Executive Stability dashboard — top-left: stacked horizontal bars by AREIT showing the Embedded / Settled / Settling / Watch / Flight Risk distribution per company. Top-right: stability distribution donut across the full cohort (1,247 executives). Bottom-left: company tenure distribution histogram. Bottom-right: average tenure by AREIT bar chart with peer overlay.
Executive Stability Dashboard — stability bands, tenure curves and flight-risk concentration across the peer set.
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Situation · 03 · Example

Continuous succession mapping in practice

Anonymised. A 24-month engagement mapping the leadership universe for an integrated business preparing for a sequence of CEO-1 transitions.

Top-Team Succession Continuous Mapping Strategic Pivot

The brief

An ELT whose dominant career origin sat heavily inside its own sector — perfectly adapted to the last decade, increasingly mismatched against the platform the business was becoming. The question wasn't who comes next, it was where do they come from.

What the mapping revealed

  • The two largest internal feeder organisations shared the same operating heritage — the leadership pipeline was narrower than the org chart suggested.
  • The closest peer had already done what the brief implied — a template for diversification, half its leaders hired from outside the sector.
  • The capability the next chapter required sat in adjacent industries the firm had never recruited from.
Career Origin Mix dashboard — top: headline mix (AREIT Origin 42%, Property/RE 14%, Financial Svcs 6%, Non-Property 23%, Female 26%, 14 layers). Below: origin distribution donut, origin-by-function stacked bars across executive roles, and origin mix by AREIT showing each peer company's career-origin breakdown.
Career Origin Mix — where the leadership came from, by peer and by function.

The outcome

A live succession map refreshed quarterly. A named pipeline against every CEO-1 seat. A target list for proactive outreach before roles became live — and the early signals when an external target's tenure curve flagged "movable".

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Situation · 01

When one appointment shapes the next strategic chapter

A defensible shortlist — built on the entire mapped market, not the seven names you see on a shortlist. AI underpins the research; partner judgement runs the conversation. The resulting advice is enriched by insights.

What's at stake

The Board doesn't want to hear "we know everyone in this space." It wants to see the evidence behind every name on the shortlist — and the names that didn't make it, and why. The search firms that built their reputation on the curated seven are quietly being displaced by the ones who can show the whole map.

Brief → Universe → Shortlist — funnel schematic showing the brief defined by function, sector, company calibre, leadership scale and cultural fit, expanding into a mapped universe of candidates (high-risk/high-reward, adjacent, direct peer), and narrowing to an evidence-backed shortlist.
Brief → Universe → Shortlist — the brief at the top, the mapped market in the middle, the evidence-backed shortlist at the bottom.

Where this gets called in

  • Strategy pivots / transformation – when organisations think differently, make pivots and embark on bold moves. They need to understand the market, available talent, unique talent pools.
  • New geographies — operating at pace in markets where the firm has no incumbent network. The methodology travels.
  • Low-coverage sectors — when the talent you need sits outside your traditional hiring pool, and identifying them requires deep research across sectors that don't overlap with your usual network.
  • Capability-shift appointments — when the next role is meaningfully different from the last one; the platform mitigates pattern-matching to the prior incumbent.
  • Time-pressured exec hires — when the research phase normally takes months and the business needs a defensible shortlist in weeks.
Search · Primary Assessment · For the Chosen One Engine
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Situation · 01 · Showing It

From brief to shortlist — visible at every step

The agent UI, the likelihood curve, the results grid, the platform beneath them. Sequential, transparent, calibrated.

What clients see, week to week

Clients should not have to wait for the final shortlist to understand the work. The process is visible as it develops: brief calibration, mapped universe, scoring logic, coverage and evidence.

From brief to shortlist — a calibrated search strategy directing an orchestrated agent workforce that scrutinises, examines and compiles research, surfacing candidates beyond those already known to us.
From brief to shortlist — calibration, market mapping, scoring and evidence in one inspectable workflow.

The point is transparency without clutter. Each name has a reason, each gap has a status, and the final recommendation lands with enough context to be defended at the board table.

  • Scoping & scales calibrated to the brief — agreed before the research starts.
  • Live longlist dashboard — tier-banded, 5-dimension scored (functional fit · industry · company calibre · leadership scale · cultural fit).
  • Match reasoning in plain English — why each candidate ranks where they do.
  • Coverage grid — what we've spoken to, what we haven't, and why.
  • Weekly status update — short-form, refreshable.
  • Final shortlist evidence pack, defensible at the board table.
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Situation · 01 · Example

Cross-border senior appointment, on the same brief, in any market

Anonymised. Two engagements — one in Egypt, one in Australia — same methodology, same evidence pack, same pace. Geography is a variable, not a constraint.

High-Stakes Appointment Cross-Border Low-Coverage Market Pace + Fidelity

The brief

A senior appointment in a market with limited traditional search infrastructure. Candidates needed to be sourced internationally, scored consistently, and presented to the Board on the same evidence base any domestic hire would receive.

The approach

  • The semantic search engine surfaced the international universe — across geographies that don't overlap with traditional regional networks.
  • Scales calibrated to the brief, applied consistently to every candidate.
  • Weekly status updates kept the client embedded in the research, not on the outside of it.
  • Final shortlist landed with the same evidence pack a domestic appointment would receive.
Coverage Grid + Evidence Pack — 1,247 companies mapped across Industrials, Financials, Consumer, Technology, Energy and Healthcare, colour-coded by status (not yet contacted · attempted · spoken to · shortlist). Below: a shortlist evidence card showing 5-dimension scoring (functional fit · industry · company calibre · leadership scale · cultural fit) with a tier 1 candidate summary.
Coverage Grid + Evidence Pack — who we spoke to, who we didn't, and the evidence behind every shortlisted name.
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Situation · 02

When the question is people-shaped

"How does our ELT compare?" · "What skillsets are required to fulfil our future strategy?" · "Where will the next CFO come from?" · "Who's vulnerable across the sector?" Strategic questions that need the whole mapped leadership market for an answer — not anecdote, not the same seven names, not a generic sector report.

What's at stake

The Board's biggest people questions sit upstream of search. Before the role is open, the answer to "where will they come from?" shapes strategy. Before a competitor moves, the signal that an executive is "gettable" changes the conversation. This is the layer above the appointment — the leadership market understood as a system.

Peer ELT Comparison — executive leadership structures across four diversified Australian property groups (Harbourview LRE, Stonebridge, Aurelia Property Group, Summit Property Partners). Top: role pills colour-coded by category. Below: comparative intelligence (gender diversity, average tenure, flight-risk indicators, dominant career origin) and career-origin commentary per peer.
Peer ELT Comparison — four peers, side by side, on one framework.

This is not generic sector intelligence — that's a Gartner conversation. This is leadership intelligence: the people, the movements, the benchmarks, the structural patterns.

Where this gets called in

  • Competitive ELT benchmarking — how the leadership team compares to peers, structurally and stylistically. The evidence behind board-level talent reviews. How that aligns to strategy.
  • Sector leadership mapping — who's who, who's where, who came from where, who's overdue a move. Before the role exists.
  • Talent-flow analysis — the pipelines and pathways into a sector or function. Whose pool you can fish in; whose pool you're being fished from. Shapes how, and where you might go for future hires.
  • Board talent-strategy reviews — the people-shaped evidence behind structural and strategic decisions.
Engine · Primary Succession · Origin Data Search · Universe
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Situation · 02 · Showing It

The whole leadership market, on one page

Mapped, benchmarked, refreshable. Every senior leader across the peer set — career origins, tenure, stability scoring, flight risk — filterable by entity, function, geography and gender.

What it shows

  • ELT structural comparison — where peers have seats your team doesn't (and vice versa). The structural signal beneath the headline numbers.
  • Career origin profile — what proportion of each peer's leadership came from within the sector vs adjacent industries vs entirely outside.
  • Talent flow Sankey — who hires from whom, with thickness indicating volume of executive movement.
  • Stability distribution — Embedded · Settled · Settling · Watch · Flight Risk across the peer set, sorted by at-risk concentration.
  • Comparative intelligence table — ELT size, gender diversity, tenure, flight-risk scores, dominant career origins side by side.

And what it's not

This isn't a Gartner report. It isn't sector economics or industry forecasts. It's leadership-shaped intelligence — the people who lead the businesses in the sector, the patterns of their careers, the structural choices their organisations have made.

The same platform that powers Search and Succession produces this — refreshable, filterable, and as deep as the brief demands.

Cross-segment talent flows — Sankey diagram showing which segments executives came from (left) and which segments they're in now (right). Below: Industry Origin → Retail Segment Sankey showing which adjacent industries executives came from before joining the retail segment.
Cross-Segment Talent Flows — where executives came from, where they ended up; volume by ribbon thickness.
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Situation · 02 · Example

ELT benchmarking for a strategic pivot

Anonymised. An integrated business preparing to scale beyond its traditional operating model needed to know whether its leadership pipeline matched its destination — and how it sat against peers who had already made the shift.

ELT Benchmarking Peer Mapping Pre-Strategy Diagnostic

The brief

The business was rotating its capital allocation away from its historical engine and toward platform-style growth. The Board needed to understand whether the leadership structure reflected where the business had been, or where it was going.

What the mapping produced

  • 112 senior executives mapped across 12 peer organisations — career origins, tenure, stability scoring, flight risk, function.
  • Peer ELT structural comparison — surfacing where the client's team mirrored peers, where it diverged, and which divergences mattered.
  • Career origin diagnostic — the client's leadership came overwhelmingly from within the sector; the closest peer who had already made the strategic pivot drew half its team from outside.
  • Forward target list — named executives in adjacent industries who fit the capability profile the pivot required.
Comparative intelligence table showing peer ELT benchmarking across size, diversity, tenure, flight risk and career origin.
Comparative Intelligence Table — ELT size, gender diversity, average tenure, flight risk and dominant career origin, peer by peer.

Why it mattered

The Board moved from "we need to be more diverse in our hiring" to "here are the three sectors we should be hiring from, and here are the names already on the move." Strategy became actionable people-strategy in a single engagement.

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The Service Architecture Why It Matters ↩ Home
The Engine · The Service

An ongoing executive talent partner

Mason Wilhelm gives organisations an ongoing view of their executive talent, a plan for their future leadership needs and the capability to deliver against it.

What you receive

  • Executive search delivery, with clear visibility of progress, market feedback and outcomes.
  • Succession planning for critical leadership roles, connecting internal successors with external alternatives.
  • Ongoing market mapping and executive relationships, built ahead of a vacancy.
  • Visibility of internal mobility opportunities and leadership capability gaps, through board and executive dashboards: executive flight risk, candidate readiness versus potential, functional succession cover, succession readiness and risk alerts on leadership and hiring priorities.
  • Search process automation and documentation, so every brief, longlist, report and update is captured consistently and nothing is rebuilt from scratch.

Every search improves your talent intelligence, and that intelligence makes the next leadership decision better informed.

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The Engine · Architecture

Inputs → Engine → Deliverables

Three layers. Four engine components. One coherent process from brief to board pack.

One proprietary platform beneath all four situations. Not an appendix — what the firm is built on. The same intelligence layer flows through Integration, Succession, Appointments and Market Intelligence, which is why the work is consistent, evidenced and refreshable.

The Constellation — the mapped executive market, every person and company the engine holds, in one view.

Four engine components

Component 01
Cultivation Database
The structured memory of every conversation the firm has had — continuously enriched from primary sources, queryable in seconds.
Component 02
AI Workforce
40+ specialised agents — enrichment, normalisation, classification, scoring. Continuous, not on-demand.
Component 03
Brief Matcher
5-dimension scoring against the mapped market: functional fit · industry · company calibre · leadership scale · cultural fit.
Component 04
Reporting Engine
Client-designed updates and outcomes. Live dashboards today; QR-linked content, podcasts and written long-form as the capture layer evolves. Two-mode output throughout: development-oriented and deployment-decision.

From data to advice — the flow

Stage 01
Data
Continuously enriched from primary sources — career history, references, public filings. Depth, currency and provenance over headline count.
Stage 02
Information
Structured, deduplicated, semantically embedded. Queryable in natural language; joinable across people · companies · engagements.
Stage 03
Insight
40+ specialised agents. Brief-calibrated scoring. Benchmark layers. Synthesis across cognitive, psychometric and interview evidence.
Stage 04
Advice
Partner-led narrative. Defensible at the board table. The art remains human; the science is now AI-augmented.

What makes it different

  • A single data lake — every engagement adds to it; every engagement benefits from it. No re-mapping the universe each time.
  • Synchronous interface between data, insight and advisory. Microservice connectivity to global research. Live, not batch.
  • Multi-agentic processing — specialised agents do the discoverable work so the partner spends time on the human end of the call.
  • Built, owned and refined in-house since 2024. Not a wrapper around a third party.
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The Service Architecture Why It Matters ↩ Home
The Engine · Why It Matters

AI underpinning high-quality search

Not data for data's sake. Not AI for AI's sake. The science of search is now AI-augmented; the art remains human. Partner-led judgement, on evidenced ground.

Trust earned, not asserted

Search firms have long claimed trust by virtue of being known. The reputational shortcut goes: "they're well-known, so the seven names they bring are the right seven." That worked when nobody could see the rest of the market. It doesn't work now.

We don't claim trust — we show it. We share the methodology, the evidence trail and the rejected names alongside the chosen ones. Real trust is built on a truthful set of data, with partner-led judgement layered on top of facts, not just opinion. Then opinion, on top of facts.

Where this lands

  • Speed without sacrificing fidelity — research that traditionally took months, compressed to weeks; final judgement preserved.
  • Defensibility at the board table — every recommendation footnoted to evidence the Board can interrogate.
  • Continuity across engagements — the cohort you mapped last year informs the search you run this year.
  • A compounding advantage — every engagement makes the next one better-evidenced.

Data. Information. Insight. Advice.

The flow that turns a query into a decision the Board can defend.

When the decision has to be defensible, start with the evidence.

Closing-page candidates: partner contact strip · QR code to live HTML hub · podcast version link (per meeting).

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