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Xplore
Solutions · Explainability

Every agent answer, traced back to its evidence.

When an agent reports a number, recommends an action, or flags a risk — someone will ask why. TrustGraph, the engine inside Xplore Integrity, records what the agent actually read, called, and computed, and links every claim to that evidence. Explainability by construction, not by asking the model to explain itself.

“The model said so” is not an answer.

Three moments when the lack of explainability stops an agent rollout cold.

A stakeholder challenges a number

Finance asks where "$1.4M" came from. Without a trace, your team re-does the analysis by hand — and the agent loses the room's trust permanently.

A regulator asks for the decision path

EU AI Act and model-risk frameworks require traceability of automated decisions. Chat logs and prompts are not a decision path.

Something goes wrong and no one knows why

An agent acted on stale data or a misread file. Without run-level provenance, the post-mortem is guesswork and the fix is a prayer.

The approach

Don't ask the model to explain itself. Record what it did.

A model's explanation of its own answer is another generation — it can be as wrong as the answer. TrustGraph takes the opposite route.

Facts are captured mechanically

Every tool call, fetched page, file read, and API response is recorded at the boundary — the agent can't forge or forget it.

Claims are linked to facts

Each number, source, and statement in the output is resolved against the record. What resolves is grounded; what doesn't is flagged.

The explanation is a graph, not a paragraph

You can walk from any claim down to raw evidence — bytes, timestamps, origins. Reproducible on replay, admissible in an audit.

Self-explanation vs recorded provenance
“Explain yourself”TrustGraph
Source of truthAnother generationCaptured I/O
Can hallucinateYesNo — deterministic
ReproducibleNoByte-identical replay
Audit artifactProseProvenance graph
Failure localizationVagueExact node that broke

Who needs this.

Explainability lands differently for each seat at the table — the graph serves all three.

Operations & business owners
Trust the output, delegate more

When every figure carries its evidence, teams stop double-checking agents by hand and start acting on what they produce.

Compliance & risk
A decision path you can hand over

The provenance graph is the traceability artifact regulators ask for — generated on every run, not reconstructed after an incident.

Engineering
Debug agents like systems

When a run fails, node resolution points at the exact claim, source, or computation that broke — not "the model was off today."