Step 1
Configure tenant-wide Teams coverage
Channels and group chats are in scope by default, with private chats remaining an explicit admin decision.
How it works
Connect one tenant. Reconstruct one decision trail.
DecisionTrail is designed for teams that need a reliable chain from request to approval to execution, not another generic message search layer.
Step 2
Discover sources and sync messages
The platform discovers available Teams surfaces, backfills history, and then runs incremental syncs with operator-visible run telemetry.
Step 3
Assemble entity-first timelines
Messages are grouped only when explicit business identifiers support a defensible timeline across conversations.
Decision lifecycle model
What the product actually reconstructs
DecisionTrail organizes the story around seven decision lifecycle stages: request, analysis, approval, rejection, execution, exception, and resolution.
The point is not to summarize chat noise. The point is to show a verifiable chronology with actor context, rationale, review posture, and source references that can stand up in oversight and investigations.
Analyst review is part of the workflow
Ambiguous approvals and entity mismatches do not get silently promoted into final outputs. The analyst queue exists to make the timeline more trustworthy, capture override reasons, and improve the quality loop over time.
Export is narrative, not just raw data
The export path is designed around a narrative investigation report that presents chronology, actors, approvals, rationale, and source references in a format humans can actually use.
See it live