[00] · The AI practice of WE AS WEB
We build AI capability inside regulated companies.
We identify, build and transfer governed AI workflows — on your own cloud, with the evidence to prove they work. Real engagements, measured in production.
The review produces: 2–3 candidate workflows · a risk map · an honest build/no-build call
- 2×
- Agent-assisted delivery throughput · File 02 →
- 70%
- Engineering-org adoption · File 02 →
- 0→1
- AI capability at a regulated mutual · File 01 →
- LIVE
- Legacy-code lineage on their estate · File 01 →
Measured in production deployments across two engagements. Each figure is sourced, scoped and caveated in its case file below — we publish the measurement context, not just the number.
The AI practice of WE AS WEB — 1,200+ engineers · 15 global locations · NATO-certified security practice · banking, pharma, utilities, aviation.
What we leave behind, every engagement: deployed tools · audit trails · runbooks · trained teams · your cloud, your IP.
[01] · The problem
Most enterprise AI is theatre. Pilots that never ship. Products dropped in a black box. Agents that “say it’s done.”
Not AI strategy decks. Not chatbot pilots. Embedded engineers shipping governed workflows on your infrastructure.
We work the other way around: embedded with your teams, on your infrastructure, proving value on real material before anything big gets built. Sensitive data never leaves your estate, and nothing we ship is a black box.
Every engagement leaves evidence — what ran, what it measured, what remains blocked — and leaves capability behind: your people able to run and grow what we built together.
[02] · The work
Case files
Real engagements. Names withheld unless approved — the work speaks in outcomes.
[03] · How we work
A partnership, not a product drop.
The same repeatable, low-risk cycle behind every case file — proving value before committing to build, and leaving capability with your teams.
Step 01
Discover
Map the manual, repetitive, legacy-bound workflows that cost your teams the most time.
Step 02
Workshop
Surface candidate AI use cases with your people; prioritise by value and delivery risk.
Step 03
Prototype
Prove value on real material before any large commitment is made.
Step 04
Co-build
Engineer internal tools alongside your teams, on your own secure infrastructure.
Step 05
Deploy & iterate
Ship into your environment, gather evidence, and grow the use-case backlog.
[04] · Training & enablement
We don't just build it. We teach your people to run it.
Twelve services across three tracks — every format on-site or online, always built on your real tools and workflows, sequenced into journeys that match where you are today.
[01] · Foundational · 5 services
AI Training
From a 2-hour Kickstart to a 6-week Embedded Program — structured learning at every level, from first exposure to operational integration.
View services →
[02] · Sustained · 4 services
Beyond Training
Office hours, 1:1 advisory, change & culture enablement, and train-the-trainers — so the skills stick, scale, and change how teams operate.
View services →
[03] · Strategic · 3 services
AI for Executives
Briefings and strategy programs for boards and C-suites who need to make AI decisions — not run AI tools.
View services →
[05] · For your risk register
The questions your security and procurement teams will ask. Answered up front.
Data boundaries
Everything runs inside your estate. Sensitive data never leaves it — by architecture, not by policy document.
Deployment model
Built and shipped on your own secure cloud, inside the controls and governance your regulators already expect.
High-risk actions
Destructive commands, mutating operations and risky merges are confirmation-gated, policy-bound and auditable.
Identity & access
Service identities stay distinct from human users — validated at setup, rotated, and audited.
Evidence & audit
Delivery produces evidence packages and audit trails, not assertions. “Done” is verifiable.
Exit
Knowledge transfer is a deliverable. Your teams can run, extend and govern everything without us.
[06] · Who's behind this
The AI Lab is the AI practice of WE AS WEB — an enterprise engineering consultancy serving regulated sectors: banking, pharma, utilities and aviation. 1,200+ engineers across 15 global locations, a NATO-certified security practice, and full IP ownership for every client.
[07] · Principles
Your IP, entirely
Everything we build together is yours — code, tools, documentation, backlog. Full IP ownership for clients is a firm-wide guarantee, not a negotiation.
Evidence over assertion
“Done” means checks, runtime proof and auditable handoff — for the agents we deploy and for ourselves. If we can’t measure it, we don’t claim it.
Capability stays with you
Knowledge transfer is a deliverable. Your teams end the engagement able to run, extend and govern what we built together — no vendor lock-in.