Every company wants AI. Fewer want the uncomfortable parts: a clear owner, a narrow first use case, and permission to ship something imperfect into production.
That is how the committee kills the project. Not with a loud “no”, with six months of “almost ready.”
Why committees stall AI
- Too many stakeholders, no single decision-maker with budget and accountability
- Scope expands from “automate invoice triage” to “transform the enterprise” before week two
- Risk conversations happen without engineering constraints, everything sounds equally dangerous
- Success metrics stay vague: “explore AI” is not a KPI
A shipping pattern that survives the room
Our Discover → Design → Deploy → Iterate process exists for this reason. Week one is spent inside the business, what breaks, who owns it, where AI can move the needle. Then you see a concrete technical spec before code. Then we ship to production in weeks, not quarters. Then we stay to monitor and improve.
Safe and forgettable is still a strategy. It just is not a growth strategy. If you want motion, you need a narrow problem, a named owner, and a production date.
Rules we use with clients
- One workflow, one owner, one measurable outcome for Phase 1
- Write the failure modes before the demo, escalation paths, audit logs, rollback
- Prefer integration into existing tools over a shiny new portal nobody opens
- Schedule Phase 2 only after Phase 1 is live with real users and real data
AI without the committee does not mean reckless. It means decisive. Build systems that evolve as fast as the market demands, then improve them in public, with production feedback, not another slide deck.