You're already recording your meetings. Those transcripts are a filing cabinet. IMI turns them into a decision constitution — the commitments your team has made, tracked over time, monitored for drift.
It's not a culture problem. It's a structural one. Your team makes decisions in every meeting. Most of them go stale, get contradicted, or drift — without anyone realizing it until the damage is done.
Someone commits in one meeting. A different conversation goes a different direction. Nobody connects the dots. The project is green until someone discovers it's wildly off track.
Decisions lose their rationale over time. People re-debate settled questions or break rules they didn't know existed. The reasoning that made something the right call doesn't survive the meeting it was made in.
The commitment that got contradicted happened in a meeting you weren't in. There's no system your whole team shares that has the full picture — across all your people, all your conversations, all at once.
Give us your transcripts — from whatever recording tool you already use. We build the decision infrastructure from there.
Step 1 — Ingest
IMI connects to Zoom, Teams, and Google Meet — and accepts transcripts from any tool your team already uses. No new behavior required. Every time a transcript arrives, the system analyzes it against the existing constitution: new decisions get added, stale commitments get flagged, contradictions surface. Your meetings don't change. What happens after them does.
Step 2 — Constitute
IMI extracts every decision, commitment, and rule your team has established and structures them as objects in the graph — with state, relationships, and temporal context. Not a transcript you'll scroll through once and forget. A map of what your organization has actually decided, and what's still true.
Step 3 — Track
Not a transcript archive. A living view of what your team has committed to, and what state each commitment is actually in. The graph knows when a February decision was contradicted in April. It knows when a "temporary" choice was never revisited. It knows when two people made conflicting promises in separate meetings. This is the view you open before any high-stakes call — not to search, but to know.
"Delivery of all Phase 1 features by March 31 — confirmed in executive planning session"
"Sarah discussed pushing Phase 1 scope to Q2 — client open to the change, no objection raised"
Step 4 — Act
When a commitment is contradicted, the right person gets notified — not a blast to the whole team, but a targeted flag to whoever can actually resolve it. And any time you need a read on where things stand, you ask: "Tell me about the quality of my open engagements." You get a structured briefing, not a wall of transcript text to scroll through. Copilot and Claude can query the same data via MCP — your existing tools don't get replaced, they get the context they were missing.
You're already recording everything. Your AI assistant can find things in those recordings. But finding what was said isn't the same as knowing what was decided — or catching it when that decision quietly stops being true.
The transcript is there. You can search it, summarize it, share it. What it can't tell you: whether what was decided in that meeting is still the operating reality, or whether something changed.
Copilot can find things — in meetings you attended. It doesn't have a view across your whole team, and it won't tell you unprompted that a commitment from last quarter is now being contradicted.
The constitution tracks every decision across every meeting, every person. When something drifts, it catches it. Copilot and Claude can query the same graph — your tools don't get replaced, they get context they didn't have before.
Give us 90 days of transcripts. In the first week, we'll show you what's drifting.
Schedule a demoCommitments, rationale, and context survive as structured objects — not text in a folder someone will never open again. When someone leaves, nothing leaves with them.
Stale commitments, contradictions, and zombie decisions flagged before they cause problems — not after the QBR goes sideways. One stale commitment caught early pays for months of IMI.
Any AI tool queries the graph via MCP — Copilot, Claude, whatever your team uses. Not another app competing for attention. The layer underneath. You keep your workflow; it just works better.
Not another recording tool. Not another AI assistant. The decision infrastructure underneath — built from transcripts you're already capturing.
Give us your last 90 days of transcripts — from whatever tool you already use. In the first week, we'll show you decisions that went stale, commitments that were contradicted, and temporary choices that were never revisited. The ROI demonstrates itself.
Working with consulting firms, agencies, and SaaS CS teams who are already recording — and ready to turn those transcripts into something structural.