Decision intelligence for regulated operators
DecisionTrail reconstructs who requested action, who analyzed it, who approved or rejected it, why it happened, and where the source evidence came from across one tenant-wide Teams footprint.
What the product surfaces
Requests, analysis, approvals, rejections, execution, exceptions, and resolution are assembled into one entity-linked timeline rather than isolated conversation fragments.
Why teams adopt it
Cross-chat evidenceShow when a decision started in a small chat, moved into a team thread, and was finalized in a separate operational channel.
Privacy posture
External partners can run DecisionTrail in their own Azure environment while Helios holds only onboarding and deployment metadata.
Why the status quo breaks
In regulated Teams workflows, the first request, the practical analysis, the approval language, and the execution handoff often happen in different conversations. That makes defensible reconstruction difficult without a dedicated timeline system.
What teams do today
Investigators waste time exporting fragments, cross-referencing screenshots, and manually guessing which thread mattered.
Where evidence gets lost
By the time execution happens in a formal team, the rationale or approval may already be buried in a different message surface.
What DecisionTrail changes
Analysts can verify a reconstructed story instead of stitching together isolated Teams searches by hand.
Product flow
1. Connect
DecisionTrail indexes channels and group chats by default, with private chat coverage controlled explicitly by the client.
2. Reconstruct
The product correlates explicit business identifiers across conversations to show requests, approvals, exceptions, and execution in order.
3. Review and export
Analysts review uncertain evidence, capture review reasons, and export a narrative report with source references and chronology.
Industries
The first public funnel speaks directly to investigation, exception management, and approval oversight in finance-heavy operating environments.
Asset Management
Asset managers need a reliable chronology for approvals, exceptions, and execution decisions that unfold across Microsoft Teams.
Explore industry pageBanking
Banking teams need a clear record of who requested, approved, rejected, or escalated operational decisions in Microsoft Teams.
Explore industry pageHedge Funds
Hedge fund teams need a way to reconstruct fast-moving approvals, exceptions, and execution handoffs across Microsoft Teams.
Explore industry pageUse cases
Approval oversight
See how DecisionTrail helps teams prove who approved what in Microsoft Teams and whether the approval language was explicit enough to trust.
Read use caseException handling
Exception handling often spans multiple Teams threads. DecisionTrail reconstructs the full path from exception to approval to resolution.
Read use caseInvestigations
Use DecisionTrail to reconstruct investigation-ready timelines from messages, approvals, exceptions, and execution signals in Teams.
Read use caseResources
Approval tracking in Teams becomes difficult when the request, analysis, and final authorization move across chats and channels.
Read resourceA search-led overview of what an audit trail in Microsoft Teams should actually capture for oversight and investigations.
Read resourceSee the kind of narrative chronology DecisionTrail is built to export after analyst review.
Read resourceDeployment architecture
Helios control plane
Helios holds partner approval, deployment identity, version, and heartbeat status for external rollouts.
Client data plane
Messages, derived timelines, review actions, exports, and secrets stay inside the client deployment rather than the shared Helios app.
App handoff
This public site qualifies demand and drives demos. Operators still sign in through https://app.helioslabs.app.
Frequently asked questions
DecisionTrail builds a single chronology across Microsoft Teams so operators can show who requested action, who analyzed it, who approved or rejected it, what happened next, and which messages support each step.
No. The public site and product position the system as a decision trail and investigation timeline for regulated teams, not as a general AI productivity layer.
External partners can be deployed into their own Azure tenant and subscription, while Helios keeps only control-plane metadata such as allowlisting, deployment identity, version, and health.
Teams is where requests, approvals, exceptions, and execution handoffs often happen in regulated workflows. The product is built to reconstruct those decisions across channels, group chats, and approved private chats.