Enfors lets you analyze your AI workforce in plain English — no SQL, no dashboard
building. This is delivered through the MCP server and the
Ask Enfors experience.
Safe by construction
A core safety principle: the model never writes SQL. Instead, an AI client calls
Enfors’s typed MCP tools (list_agents, list_decisions, search_similar_decisions,
…), each of which builds a parameterized query server-side. Free-text questions are
translated into validated filter objects, not raw SQL strings.
What you can analyze
- Production & cost — “what did the team produce in the last three days, and what did
it cost?”
- Comparisons — pass rate / spend / subjects across agents or people
(
list_agents rollups).
- Problem-finding — rank rework or contradiction-heavy sessions
(
list_agent_sessions(sort_by=rework)).
- Semantic recall — “find decisions like this one”
(
search_similar_decisions).
- Delivery & ROI — Feature and Epic rollups (
list_features, get_feature).
Rendering the answer
Results are presented with render_ui as a branded, shareable view —
with PII removed. See Privacy.
Start broad with rollup tools, then drill down. Most “who/what/how much” questions are
answered without paging individual decisions.
