Services / Skilling and Knowledge
Helping organisations build the specialist skills and institutional knowledge they need, whether that means training people, transferring expertise, developing a function, or building the capability internally.
Building a specialist function, an internal audit team, an AI governance office, a security function, is usually treated as a hiring problem. Get the right people in the room and the capability exists. It's a reasonable starting assumption, and an incomplete one.
Specialist teams often want different things from their careers than the core business does, different incentives, different markers of progress, different reasons for staying. A function built without accounting for that tends to lose exactly the people it was built around, and takes the capability with them when they go.
bmpro works across the full lifecycle of building a capability, not just the hiring moment inside it: defining what a new function actually needs before it exists, finding people against what a role genuinely requires rather than a generic description, developing the judgement that training alone doesn't produce, and designing the function so the capability survives any one person's departure.
The IIA India partnership is one form this takes in practice, structured, recurring training that builds capability inside an organisation over time rather than delivering it once and leaving.
Technology assurance increasingly needs people who combine technology, audit, controls, risk and regulatory knowledge, a combination uncommon enough that recruiting for it rarely stays a one-time exercise.
Source: The Institute of Internal Auditors, 2025 Pulse of Internal Audit / Vision 2035 Survey.
Knowledge is no longer the primary constraint. We select for reasoning, judgement and learning ability first, then build specialist capability around them, developing fluency in AI-assisted research, analysis and testing as part of how people actually work, not a separate skill bolted on afterwards.
Assess problem-solving, judgement, curiosity and the ability to challenge assumptions, before assessing depth of existing knowledge.
Identify people who can learn rapidly, work with ambiguity, and use AI to extend their thinking rather than simply retrieve information.
Build structured pathways around specific disciplines, combining foundational knowledge with practical technology and regulatory context.
Develop fluency in AI-assisted research, analysis, testing, automation and evidence evaluation as part of everyday work.
Apply capability on real client problems, with experienced practitioners providing challenge, context and professional judgement.
Continuously develop specialist capability as technology, AI techniques, regulations and requirements evolve.
People selected for judgement, structured thinking and the ability to interrogate complex problems, not simply what they already know.
Structured onboarding pathways that build deep capability in specific disciplines without requiring every skill to exist on day one.
Professionals who use AI as part of how they research, analyse, test, challenge and deliver work, not as a separate step bolted on afterwards.
A model designed to continuously create new specialist capability as technology and the nature of assurance evolve.
Talk to us about skilling and knowledge building.
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