The ground truth your
AI agents stand on.
Capture how your organization actually operates. Keep that knowledge current as reality shifts. Deliver it to the AI agents that need to act on your behalf.
AI agents don't hallucinate because they're broken.
They hallucinate because nobody told them the truth.
- —Discount approval logic lives in a 40-minute conversation with the VP of Sales
- —Escalation rules are tribal knowledge, inconsistently applied
- —Agents scrape internal wikis that are 18 months out of date
- —When policy changes, nobody tells the agents
- +Decision logic captured from the people who actually hold it
- +Structured frameworks with explicit escalation and exception paths
- +Confidence scoring that decays automatically as the world shifts
- +Review queue surfaces what's changed and what needs updating
Four movements from tacit knowledge
to actionable ground truth.
Capture the knowledge that only exists in conversations.
Upload transcripts from the meetings where real decisions get explained — policy walkthroughs, training sessions, customer calls. Trueground extracts the decision patterns, escalation rules, and exception handlers, and flags them for human review before they become structured knowledge.
Build decision frameworks an AI agent can actually follow.
A visual editor for constructing decision trees, escalation paths, and exception handlers. Practitioners drag conditions, outcomes, and human-escalation nodes onto a canvas, connect them into flows, and publish frameworks as structured knowledge objects that agents can consult at decision time.
Keep ground truth current as the ground shifts.
Confidence in any piece of knowledge decays over time. Trueground monitors source systems for signals that suggest a framework may be stale — policy changes, override patterns, newly contradicting evidence — and surfaces what needs re-verification before it starts misleading your agents.
Serve ground truth where your agents already are.
Frameworks export as DMN-convertible XML, structured prompt libraries, or queryable knowledge graphs. Agents consult Trueground through a simple API — getting back the organization's decision logic with explicit escalation paths when their confidence isn't high enough to act alone.
Three roles. One source of truth.
Knowledge engineer
A visual editor for structuring decision logic without writing code. Import from transcripts, connect to source systems, publish to agents. The tool you've been trying to build in Confluence.
AI governance lead
Documented, versioned, audit-ready decision frameworks for every autonomous system in your organization. The artifacts your regulator will ask for before you've finished reading the question.
Compliance officer
Evidence that your AI agents are operating within policy, not just trained to. A continuously maintained record of organizational norms your audit trail can point to.
See Trueground against
your actual AI agents.
A 45-minute working session with our team. Bring one AI agent workflow you're worried about — we'll walk through how Trueground would handle it.