
John White
John brings more than thirty years in technology and transformation, including regulated FinTech leadership and an SMF1 role. His experience spans FCA, PRA, BaFin and KNF environments.
AI is already in your business. Few boards have an independent view of it.
Our advisers are human and agentic. Experienced people set the direction and take responsibility for the advice. AI agents do the heavy reading, checking and drafting. You get a clear view of where AI helps, where it needs a rule, and what to do first.
GenWA works with you in five ways: Advisory, Products, the Incubator, the Accelerator and Build. Advice comes first because it tells you which of the others, if any, you need.
Between us we have led technology, run operations, worked under financial regulation, answered to risk and compliance, and grown businesses. We advise from that practice, not from theory.
Building and running platforms, cloud systems and engineering teams, including in banking and capital markets.
Running customer-facing operations, contact centres and back offices, and moving them from paper and manual work to digital.
Leading firms that lend, collect and answer to the regulator, including time in senior accountable roles.
Turning rules into controls that people follow, and into records that stand up when someone asks.
Taking products to market, using data and customer insight, and preparing a business for investment.
Advising directors and investors when technology changes how a business earns its money.
Every piece of advice has a named person behind it. Our AI agents read the usage evidence, compare it with your policies and the rules that apply, and prepare the first draft of findings. A person reviews every finding before it reaches you. That is the same standard we recommend you set for your own AI.
Where an AI agent contributes, the report says so.
A short set of questions, and a check of your AI usage. It shows where you stand and what to look at first.
Start the health checkA full review of the AI your business uses, who owns each use, what it costs and which rules apply. Priced in writing.
See the audit and its rangeA plan for the board: where AI pays in your business, where it should not be used, what to buy and what it should return. Priced in writing.
See strategy and planningPolicies written in plain English and turned into controls, with named owners and a record of decisions. Priced in writing.
See the rangeWant an independent view of AI before they commit money or reputation.
Need to show how AI is governed, and by whom.
Need to know what AI costs, where it runs and what it returns.
Which AI is in use, who owns it, what it costs and which rules apply.
Priorities in order, each with a named person and a measure of success.
A record for your board, your auditors and your regulator.
Agents analyse. People review. Anything doubtful is flagged to a named person before it appears in a report.
Flow from analysis to review, flag and report
AI use is read against your rules, policies and chosen regulations.
Each finding is checked against the evidence behind it.
Anything outside the rules is raised to a named owner.
What was found and what was decided is recorded and dated.
Guard
Leapfrog your own roadmap: what APIs teach about MCP
How open connections let large businesses grow faster than their trajectory allows, and how to do it with control.
Advisory
Why AI returns stall, and how to set AI up properly
Many AI trials never show a return. A five-step frame and the measures that tell you if AI is paying its way.
A mix of experienced people and AI agents. People take responsibility for the advice. Agents prepare the analysis, and a person reviews it.
No. Advisory is independent advice. You can act on it alone, with another supplier, or with GenWA.
You answer a short set of questions and share a usage export, which is checked in your browser, or we visit. You then receive first findings.
We tell you where AI pays, where it should not be used and what to look for. Any recommendation comes with the reasons.
Yes. Our team has worked under financial regulation. We prepare evidence and map controls. We do not issue certification, and this is not legal advice.
Each service is priced in writing before work starts. The audit fee can be credited against a later platform plan.
No. AI prepares and checks. People decide, especially on credit, hiring and medical matters.
Most businesses start with one and add the others. Each has its own page. Use the support that fits the skills and capacity already in your business.
The control layer between your business and every AI lab, and a trained agent team deployed on it. Modular, priced as a range configured to your requirements, run in your cloud or ours. Built for a 10-person business as much as a 5,000-person one.
Find out more03IncubatorAn agreed engagement · Paid per outcomeWe can build and run a selected function alongside your team. Agree supervision, scope and any outcome-based commercial terms before starting.A function, a team or a whole operating unit, run agent-first through the GenWA methodology with a small human core, live in twelve weeks. We may agree to align part of the build cost against outcome value, to share the risk.
See the Incubator04AcceleratorBy application only · Ten places a yearWe invest in you. You pay in equity, or by project, retainer or licence.Senior AI leadership time, advisory and access to the GenWA methodology and modules put behind a founder-led business. Paid for by equity, a project fee, a retainer or a licence, agreed in writing.
See the Accelerator05BuildScoped and priced in writingA senior engineer and an agentic team, in control.Bespoke software for a business-critical mission with a date that will not move. A senior engineer who specialises in your domain leads, agents do the heavy engineering, and control and human oversight are built in.
See BuildControl-mapped, not certified. We prepare the evidence; accredited bodies issue certification. This supports compliance and is not legal advice.
Senior human advisers work with supervised agentic teams. Explore their experience and agree who leads your engagement.

John brings more than thirty years in technology and transformation, including regulated FinTech leadership and an SMF1 role. His experience spans FCA, PRA, BaFin and KNF environments.

Steven brings twenty years in transformation and commercial leadership across financial services, business software and property technology.

Lukasz brings more than twenty years building and leading engineering organisations in financial services, banking, collections and capital markets.
Architecture, delivery and supervised agentic engineering.
Workflow design, operating models and business transformation.
Financial-services leadership, collections and regulatory context.
John’s former SMF1 experience and work across FCA, BaFin, PRA and KNF contexts.
Commercial strategy, positioning and business transformation.
AI strategy, investment decisions, diligence and portfolio transformation.
Shape a monthly package of human and supervised agentic consultancy, with hours to draw down and an agreed allowance for model use. Configure the support you need, then discuss scope, availability and commercial terms with us.