Executive narrative for AI investment

Preparing leadership and investors with a defensible plan—not a hype deck.

The CEO needed to align the board on a realistic AI budget: what to build vs. buy, where risk sat, and what success looked like in 12 months. Materials had to speak in outcomes—fraud loss, time-to-decision, cost per underwrite—not model names.

Challenge

Competing vendor pitches had muddied the picture. Internal engineering wanted to build custom scoring; sales wanted off-the-shelf assistants yesterday. Risk needed evidence that any automation preserved fair-lending review paths and did not introduce silent bias.

Approach

Facilitated executive working sessions with engineering, risk, and GTM leads.
Scenario modeling: build, buy, and hybrid with explicit dependency and headcount assumptions.
Drafted board appendix: risk register, vendor shortlist criteria, and milestone-based budget.
Prepared FAQ for investors on data retention, model change management, and what would trigger an external review.

Outcomes

Unanimous approval for a phased budget tied to audit gates—not blanket vendor spend.
RFP issued with evaluation rubric Eccordia co-owned with procurement.
Clear “stop rules” if pilot metrics missed threshold by week eight.
Executive dashboard agreed for quarterly AI spend vs. outcomes—no more opaque line items.