Most AI projects stall between the boardroom idea and runnable software. The Agent Handoff Prototype Sprint packages prompts, interfaces, data schemas, orchestration flows, and pilot metrics into one scoped engagement.
Money opportunity
Forrester and PwC data show most 2026 enterprise AI spend sits between pilot and production: unclear deliverables, unaudited prompts, and messy handoffs from ideas teams to engineering. That handoff gap is the service.
A fully wired prototype in the target environment: webhook stream, agent loop, memory layer, tool calls, and a working fallback path.
Prompt library, few-shot examples, reviewer checklist, and a decision log so teams can learn from the prototype instead of repeating mistakes.
Handoff document, token budget, model-selection rationale, safety notes, and priority backlog so a new team can inherit and extend the work on day one.
Teams don’t lack more research decks. They need a runnable artifact with defined inputs, outputs, reviewers, and rework rules. A prototype sprint closes that gap.