Pre-appointment diligence
Assess evidence and public track record before an executive offer is made.
— Talent & Leadership
Combines a leader's document evidence with live external research into a scored assessment of leadership strength and risk.
3–4 days → ~10 minutes
Including the external research pass
No coding required
— USE CASES
Assess evidence and public track record before an executive offer is made.
Produce a scored, evidenced read on management strength for a deal file.
Give a nominations committee a consistent risk view across candidates.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Assessment happens against criteria you control and weight, so the same standard applies on every run.
Current external sources are researched during the run rather than recalled from training data, and the sources travel with the output.
Findings are written up as a document that reads like professional output rather than raw model text.
Every talent & leadership team needs leadership due diligence — and almost none of them do it the same way twice. In practice it shows up as pre-appointment diligence: assess evidence and public track record before an executive offer is made. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 3–4 days of senior time whenever it comes round.
Here the same job runs as a Skill. Your material goes in; a scored assessment of leadership evidence and risk comes out, alongside externally researched context alongside document evidence. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. The practical effect: 3–4 days of manual work becomes a ~10 minutes run, held to an identical standard on the tenth engagement as on the first.
Leadership due diligence exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.
Build a competency framework
Groups and merges skills from role profiles, standards and existing drafts into a single structured, consistently worded competency framework.
Role benchmark research
Researches how a role is defined externally and reshapes the findings into a structured benchmark you can hold your own definition against.
Potential and readiness
Assesses potential and readiness separately against calibrated criteria, showing the supporting evidence behind each bucket for talent review discussions.