Continental Bank · BANKING · 2026
De-risking a $12M AI program before a line of code
A senior second opinion that turned an ambition into a sequenced, de-risked roadmap.
A bank was about to commit eight figures to an AI program. We reviewed the plan, audited whether their data and teams were actually ready, and handed back a prioritized roadmap with the real risks flagged up front.
Challenge
Leadership had competing internal proposals, an aggressive timeline, and no independent read on feasibility — with a large budget already earmarked against assumptions no one had stress-tested.
Approach
We ran an architecture and data-readiness review, pressure-tested the proposed system and model choices, and turned a vague ambition into a sequenced, estimated roadmap with honest calls on what's viable now versus later.
Outcome
The program launched against a clear, prioritized plan — with the biggest risks retired before the first sprint instead of surfacing mid-build.
Independent read
A senior, outside assessment of the proposed system, data flows, and model choices before committing.
Readiness, not hope
Audited data, infrastructure, and team readiness to find the gaps that quietly sink AI projects.
A real roadmap
A sequenced, estimated plan with clear first milestones and the true costs surfaced up front.