Every Moweb engagement follows the same four-act operating model. Engagements differ in scope, duration and ambition; they do not differ in discipline.
A partner-led discovery week. Interviews, data-room reads, stakeholder mapping. We produce a one-page operating thesis - not a deck.
Solution design, control catalogue, build plan, success metrics. Reviewed with model-risk, security and finance leads before any production code is written.
Joint Moweb-and-client pods deliver in two-week iterations with hard exit criteria. Every PR ships with audit-pack evidence; the documentation accumulates with the code.
We co-run the system through the first three quarters. The handover is a transfer of practice, not just code - your engineers can take it from there.
A partner-led discovery week. Interviews, data-room reads, stakeholder mapping. We produce a one-page operating thesis - not a deck.
Solution design, control catalogue, build plan, success metrics. Reviewed with model-risk, security and finance leads before any production code is written.
Joint Moweb-and-client pods deliver in two-week iterations with hard exit criteria. Every PR ships with audit-pack evidence; the documentation accumulates with the code.
We co-run the system through the first three quarters. The handover is a transfer of practice, not just code - your engineers can take it from there.
Partner-led discovery into the AI value pool, with a ranked portfolio of 6-12 funded initiatives at the end.
First-time AI buyers, board mandates, strategic refreshes.
A joint delivery pod ships one production system end-to-end, audit-pack-ready.
Specific use-case briefs with clear success metrics.
Multiple pods running in parallel under a single steering committee and roadmap.
Enterprise-wide AI transformations, AI Act remediation, modernisation programmes.
Ongoing operations, evolution and 24/7 oncall for systems we shipped together.
Production AI systems requiring continuous evaluation, model refresh and incident response.