Most enterprise AI projects take too long or move too fast. They either spend 18 months proving the use case and never reach production, or rush to production and collapse when they meet enterprise data and integration reality. Our 90+90 model was designed to thread the needle.
The Problem with Traditional Timelines
Traditional AI consulting engagements are structured around billable time. That creates a perverse incentive: longer projects mean more revenue. The result is 18-month transformation programmes that deliver a roadmap and a pilot — not production AI.
On the other side, some AI startups promise rapid deployment — 30 days to production — that routinely underestimates integration complexity, data quality issues, and governance requirements. They deploy quickly and fail slowly.
The 90+90 Design Logic
The 90+90 model is built around two sequential disciplines, not two parallel work streams. Phase 1 (90 days) is exclusively about readiness: data infrastructure, governance framework, stakeholder alignment, integration architecture. Nothing is built until this foundation is solid.
Phase 2 (90 days) is implementation — but asset-led, not greenfield. Our library of pre-built AI assets, integration frameworks, and tested data pipelines means we're not starting from zero. We're starting from 40–60% of the way to completion.
Outcome-Based Commercial Structure
Critically, our engagements are priced against outcomes — not hours. We define measurable KPIs at the start of Phase 1 and our commercial terms are tied to hitting them. This alignment of incentives is what makes 180 days credible: we have no interest in extending engagements, only in delivering the agreed outcome.