Solutions

Start where you are.

Flexible ways of working, matched to your objectives, team and stage of AI adoption.

Flexible ways to work with GenWA

Advice, modules, building alongside your team, incubation or acceleration.

Most businesses start with one and add the others. All five can be combined as your objectives develop. Use the support that fits the skills and capacity already in your business.

01AdvisoryAdvisory in an AI ageWe tell you what you have, what it costs, what is exposed, and what to do.

Independent AI audit, policy and controls, training, strategy and planning. Scope and fees agreed before work begins.

See advisory services 02ProductsAnalyse · Guard · Evidence · Automate · GrowYour rules, any model. Then agents on top of them.

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 more 03IncubatorAn 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 Incubator

And for founder-led businesses The Accelerator

Senior AI leadership time, advisory and access to the GenWA methodology and modules, paid for by equity, a project fee, a retainer or a licence. By application only, with ten places a year.

See the Accelerator

And for the project that cannot slip Build

Bespoke software for a business-critical mission, led by a senior engineer with an agentic team and control built in. Scoped and priced in writing.

See Build

Any size, if the appetite is there

We work with businesses of every size, as long as there’s a mandate to look at AI, or the will to pilot it.

From a board that’s asked for answers to a founder who wants to test the water. Here’s roughly where businesses like yours tend to start.

Start-up10–49 people

Founder-led and moving fast. Set the rules for AI early, so you scale with control built in.

See the Accelerator SME50–250 people

No IT department. Plenty of AI. One policy, company accounts, one number a month.

See the plan Mid-market & scale-up250–1,000 people

Every department bought its own AI. One view, one control point, a smaller bill.

See the plan Enterprise1,000+ people

Agents in production. Evidence for auditors, insurers and regulators.

See the plan

By sector

Where AI is already at work, and where it leaks.

Each sector page includes a suggested agent bundle.

By function

The bundle for the work your team does.

Compliance

Rules, record and owner for every AI decision.

See the bundle Legal

Client material out of public tools.

See the bundle Sales

Sell with AI inside brand limits.

See the bundle Marketing

What you are accountable for.

CEO, chair and board

An AI strategy that is not fully costed or funded Projects that move quickly but do not show commercial return A business plan disrupted by new AI competitors Transformation without clear owners or milestones Teams whose skills and structure lag behind the tools

56%of CEOs report no financial benefit from AI yet
PwC, 2026

See what matters to you CFO

One number a month, to the pound.

78%of IT leaders hit by unexpected AI charges
Zylo, 2026 · vendor

See what matters to you CIO and IT

Every AI question lands on technology leadership Changing models and tools outrun architectural decisions Board expectations exceed the available skills and capacity Experiments lack a secure, repeatable test environment Tool adoption bypasses data, access and release controls

80%of enterprise AI tools run without IT oversight
Zluri, 2025 · vendor

See what matters to you Risk, compliance and DPO

AI use without a known owner or data-flow map Policies that are not reflected in daily work Records that cannot show who reviewed a consequential output Supplier AI whose coverage and limitations are unclear Assurance expectations changing faster than internal skills

63%of UK organisations lack AI access controls
IBM, 2025

See what matters to you COO and operations

No complete view of how teams are using AI Workflows built around tools rather than operational needs Output that needs repeated checking or correction Unclear supervision, escalation and exception handling Pilots that cannot be run consistently by the operation

40%of desk workers had AI output redone last month
HBR, 2025

See what matters to you HR and people

Make AI something people admit to and share.

81%of UK workers are reluctant to disclose AI use
Cornerstone, 2025 · vendor

Your starting bundle Chief Growth

Content volume increasing faster than evidence of return Generic output weakening the brand and customer story Teams learning tools without a shared growth strategy Customer acquisition costs and attribution that are hard to explain AI changing where customers search and discover providers

See what matters to you

Whichever path, it starts with a health check.

Start your AI health check