This is the advanced version of the AI-attribution loop. The base case — tagging the AI-influenced cohort via lead-form question, transcript analysis, and post-close conversations — is in Tracking your AI-influenced cohort. Read that first for the overall strategy and the path every Unusual customer should set up today.
For technical GTM teams with sales transcripts in a machine-readable form, this layer cross-references your sales transcripts with Unusual's platform data to produce a per-buying-context recoverable-pipeline picture — concrete dollars at stake from each AI-perception gap, ranked by impact, mapped back to the platform priorities you're already coordinating with us on.
Output is a markdown report your team can carry to a board meeting or operating review when the question "is AI working for us?" needs a defensible dollar answer.
We're piloting this layer with select customers — refining the methodology against real sales-transcript data and validating the assumptions before publishing the full setup guide. The methodology has substantive depth (process flow, deployment paths for different tooling stacks, trust-boundary requirements, calibration steps), and we want it production-ready before we put it in customers' hands at scale rather than ship a version that's still finding its edges.
If your team meets the technical preconditions — sales transcripts in machine-readable form, an AI assistant (Claude, ChatGPT for Enterprise, Claude Projects, or similar) with access to them, and a mature analysis cadence with Unusual — talk to your Unusual team about being part of the next pilot cohort.
In the meantime, the AI-attribution cohort tracking guide covers what every Unusual customer should set up today: the lead-form question, the deal-record fields, the cohort comparison report, and the sales-team awareness layer. That's the foundation this advanced layer builds on.
The tool support matrix is also live — it tracks which sales-notetaker tools currently connect to which AI assistants, which is the prerequisite question for any team thinking about the advanced layer.