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Answer first: FinTech: AI Evaluation Harness Guide — a practical field guide from Shriram IT Ventures for engineering and product leads who need decisions, not decks.
Context & who this is for
Prefer boring technology where the risk is operational, and reserve novelty for the actual product wedge.
Architecture decisions that age well
Teams that document trade-offs before coding waste fewer sprints when requirements shift mid-build.
Implementation checklist
Ship a thin vertical slice, measure, then widen. Big-bang rewrites rarely survive contact with production.
Failure modes we see in the wild
Skip the buzzwords. For FinTech: AI Evaluation Harness Guide, the constraint that matters is usually data ownership, not feature count.
Measurement & rollout
Prefer boring technology where the risk is operational, and reserve novelty for the actual product wedge.
Updated regularly as delivery patterns change.