The Agentic Diagnostic
The Agentic Diagnostic is a fixed-scope, two-week assessment of where your organisation is in its agentic transformation, and where the integration work sits next. It is the engagement most senior teams begin with when they want a clear picture of their programme before committing to deeper work — and the recommended starting point for any conversation with us. The output is a written diagnostic and a 90-day roadmap the leadership team keeps, whether or not the conversation continues from there.
_ WHY IS IT FOR
When the strategy is decided and the operating reality has not caught up.
The same pattern in every organisation we work with. The platforms are bought. The roles are filled. The strategy is approved. Six months in, the agents are still in pilot mode and the day-to-day has not changed. The Diagnostic is built for the gap between what was decided and what is actually happening — the work between strategy and execution where most agentic transformations stall.
This is for teams already in motion — looking for a clearer read.
First — the five dimensions
Every engagement holds all five at once. Never one at a time.
i.
Legal & regulatory
EU AI Act, DORA, GDPR, MiCA become operating architecture — not paperwork.
ii.
Technical
Agent capability, integration, observability and what your stack can carry.
III.
Commercial
Business case, productivity, partnership structures, revenue logic.
IV.
People & organisational
Human workforce alongside agentic workforce — decision rights, culture, ethics.
v.
Data & intelligence
AI agents as participants in the data layer — governed, traceable, accountable.
Then — the three phases
A continuous cycle.
Not a linear project.
phase 01
Assess
Map the full picture across all five dimensions before anything moves.
Stakeholder topology
Five-dimension diagnostic
Agentic readiness scoring
phase 02
RESOLVE
Hold the space where alignment becomes possible and conflict becomes decision.
Alignment architecture
Cross-dimension translation
Structured decision design
phase 03
COMMAND
Drive execution until outcomes are real — not just designed or agreed.
Operating rhythm
Outcome intelligence
Adaptive steering
AI agents are no longer chatbot tools. They are an integrated workforce — and they need to be treated like one."
Field Notes
Three patterns we are seeing in European fintech and banking right now.
What we are seeing across the work — drawn from our engagements, the published research, and the conversations we are part of with senior leaders in the sector.
i.
The 99/11 gap — and where the value accrues to those who close it well.
Every European bank, insurer, and fintech leadership team we have spoken with this year is planning to deploy AI agents in production. Few have done it at scale yet. The technology works. The gap is integration: data foundations, governance architecture, accountability chains, workforce design — the structural pieces that have to be in place before the productivity case lands.
The organisations that move first on the integration work will be the ones who realise the productivity gains. The structural pieces are easier to design in early than to retrofit later.
"99% of companies plan to put agents into production but only 11% have done so due to implementation challenges related to data, governance and security."
KPMG & World Economic ForumHow AI agents can become strategic partners for business · January 2026
ii.
European banks are running agents — and looking for the right governance architecture.
Around 70% of banks across Europe now use agentic AI to some degree. Many are actively building the governance frameworks that will support agentic decision-making at scale. The question is not whether the agents will be deployed — they already are — but how the architecture of oversight, traceability, and accountability gets designed alongside them.
The August 2026 EU AI Act deadline is the formal moment. The teams designing their governance architecture now have more room to get it right than those waiting for the deadline to act.
"More than 70% of banking firms are using agentic AI to some degree, but there is a general lack of robust governance frameworks."
EYGlobal Financial Services Regulatory Outlook · 2026
iii.
Architectural oversight is becoming the question senior teams want to answer well.
Across the financial services research, the loss of human oversight is now cited as a top-three risk by 51% of senior leaders. The standard human-in-the-loop response is being rethought — manual oversight is hard to scale across thousands of agent actions per day, and senior teams are looking for architectural solutions that hold up.
The thinking is converging on accountability designed into the system: traceable decision chains, escalation policies, fallback protocols, named owners for each agent class. This is the work that distinguishes the firms moving from pilot to production well.
"51% of respondents cite the loss of human oversight as the third highest AI risk overall. The rapid deployment of agentic AI compounds cyber vulnerabilities, rendering manual oversight increasingly ineffective."
Cambridge Judge Business School
Global AI in Financial Services Report · 2026
The Lab
A private network of senior leaders shaping how Europe integrates AI agents into the workforce.
A space for senior leaders integrating AI agents into the workforce to think alongside their peers. Closed-door. Off the record. Working sessions, not panels. Quarterly gatherings in Brussels, Amsterdam, Luxembourg or Paris.
i.
Quarterly working sessions
Four closed-door gatherings per year. 20-30 senior leaders. Chatham House rules. A peer conversation about the work, among the people doing it.
ii.
Members-only research
Reference architectures, anonymised case studies, peer benchmarks — shared between the members and not published outside.
iii.
The Orchestrator Programme
For the senior practitioners among our members who want to develop the methodology in their own practice. First formal cohort 2027.
Membership is by application — we curate for level, industry, and contribution so that every conversation is a genuine peer exchange.
Why this matters now
The technology has arrived.
The integration is the work ahead.
A bank deploys an AI agent for credit decisioning. The model team builds it. Legal flags it as Annex III under the EU AI Act. The CRO sets the oversight requirements. The COO scopes the productivity case. The Chief Data Officer maps the data dependencies. The board sets the go-live timeline. Each function does what it is supposed to do — and the integration of all five answers becomes the next piece of work that needs an owner.
This is what agentic transformation looks like in practice in 2026. The technology is mature. The economics are compelling. The regulation is real. And the integration — the orchestration of legal, technical, commercial, people, and data into one coherent operating reality — is the work where we sit alongside your teams.
i.
The agentic gap is real and measured.
99% of organisations plan to deploy AI agents in production. 11% have done so at scale. The work between those two numbers — governance, data, workforce, accountability — is where the productivity case lands.
Source: KPMG / WEF, 2026
ii.
European banks are already operating with agentic AI.
70% of European banks now use agentic AI to some degree. Many are actively building the governance frameworks that will support agentic decision-making at scale, ahead of the August 2026 EU AI Act deadline.
Source: EY Global Regulatory Outlook, 2026
iii.
Architectural oversight is now the question senior teams are working on.
51% of senior financial services leaders cite the architecture of human oversight as a top-three priority. Manual oversight is hard to scale; architectural oversight is where the field is moving.
Source: Cambridge Judge Business School, 2026
IV.
The regulatory framework is hard-codified.
€35M or 7% of global turnover is the maximum EU AI Act exposure. DORA penalties run parallel. The first enforcement actions are expected by Q4 2026 — which makes the next twelve months the time to design the architecture properly.
Source: EU AI Act Regulation (EU) 2024/1689
Frequently asked
What you might be wondering.
Senior leaders — Chief AI Officers, Chief Risk Officers, Chief Data Officers, COOs and CEOs — in European fintechs, banks, insurers and regulated technology firms. Engagements are typically with organisations of 50 to 5,000 employees that have AI agents in production or in active deployment and need cross-dimensional orchestration.
A fixed-scope, two-week assessment across all five dimensions of agentic transformation. The output is a written diagnostic, a five-dimension map of your situation, and a 90-day roadmap. It is the recommended first engagement for any organisation we have not worked with before. See full details.
The high-risk provisions of the EU AI Act apply from 2 August 2026 — including credit scoring, fraud detection, biometric verification, and insurance pricing under Annex III. We integrate AI Act readiness into your operating architecture rather than treating it as a compliance project. We map your obligations across Articles 9, 10, 14, and 43 and translate them into how your systems, data, and people work together.
The Lab is a members-only network of senior leaders in European regulated industries integrating AI agents into the workforce. Quarterly closed-door working sessions in Brussels, Amsterdam, Luxembourg or Paris. Chatham House rules. Members-only research. The Orchestrator Programme — our certification track for senior practitioners — runs alongside the leader network. Membership is by application.
otterdam, Netherlands. We operate across the Benelux region and the wider European Union — primarily France, Germany, and the Nordics. We work in English and French; Dutch as a working language.
AI agents are joining your workforce. We can help you bring them in well.
Two doors. Pick the one that fits where you are.
Membership is by application. A short conversation to assess fit for the network and the quarterly gatherings.