60–70% of governance questions are already answered by your own policy documents.
Fire Mission is the Tier 0 layer that routes those questions to the right document, extracts the answer, cites the source, and presents it for human confirmation. Your experts only see the edge cases, the exceptions, and the final sign-offs.
What is Tier 0?
In IT service management, Tier 0 is automated self-service — the layer that resolves requests before they reach a human. Tier 1 is the help desk. Tier 2 is specialist escalation. Tier 3 is engineering. Fire Mission applies the same model to governance: the routine, policy-answerable questions are deflected automatically. The human expert focuses exclusively on novel situations, judgment calls, and final approvals. The accountability never moves — only the research burden does.
6 Tier 0 workflows
Policy documents already answer most contract and employment law questions.
Fire Mission handles
→ Still handled by your Legal team
- › Contract negotiation strategy and positions
- › Novel contract structures not covered by existing templates
- › Litigation decisions, outside counsel engagement, regulatory filings
- › Advice-of-counsel privilege determinations
Fire Mission researches and cites. Your team reviews and confirms. Every decision is logged with who asked, what was retrieved, and who verified the outcome.
How the Tier 0 layer works
Every workflow follows the same pattern. The human checkpoint never moves — only the research burden does.
Any employee granted access asks the AI persona their governance question in plain language.
The AI reads your uploaded policy documents, finds the relevant sections, and constructs a grounded answer.
The answer is presented with source document citations. If the policy doesn't cover the question, the AI says so.
A human reviews, confirms or corrects, and the decision is logged. Accountability stays with your team.
What about regulatory and legal risk?
Fire Mission never makes a decision. It presents research grounded in your own policies, with source citations, for a human to confirm. The decision log records every interaction: who asked, which documents were retrieved, what the AI concluded, and who confirmed the outcome.
The human expert's role shifts from researcher to reviewer. They spend their time on judgment — the 30% that actually requires their expertise — instead of the 70% that's a policy lookup dressed as a decision.
Start with one department. Expand as you go.
Upload your first policy document, assign a persona to a department, and watch your team stop fielding the same questions twice.
No credit card. Pilot tier includes 1 persona and 1,000 verified decisions.