Transcribe and analyze sales calls automatically with AI

Turns recorded sales or support calls into a transcript and an AI-scored analysis of client needs and upsell opportunities.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"call recording submitted"]:::trig s0["transcribe audio with speakers"]:::svc s1["score client intent and upsell"]:::task s2[("store analysis in database")]:::store trig --> s0 s0 --> s1 s1 --> s2 out[/"stored call analysis with scores"/]:::out pay{{"follow up decisions based on facts"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceA record or sheetResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Chatbots & AssistantsVoice & PhoneKnowledge Base & RAGSpreadsheet & Database OpsAPI & Webhook IntegrationEducation & TrainingCustomer Support & Ticketing
Connects
AssemblyAIOpenAISupabase

The problem it solves

After a sales or support call, nobody has time to relisten and pull out what the client actually needs or where the upsell opportunity is. Important details get forgotten, and follow-up decisions end up based on memory instead of facts.

Who it fits

A sales team, support team, or online education service that runs follow-up calls with clients.

How it works

  1. A recorded call is submitted for processing
  2. The audio is transcribed with speaker labels
  3. AI reviews the transcript and scores client intent, interest, and upsell potential
  4. The transcript and analysis are stored in a database for the team to review
What you get

Upsell signals flagged before your next call

You get a transcript and AI analysis of client needs and upsell potential after every sales call.

What you get

A structured analysis of each call, including client interest score and upsell opportunities, stored for later review.

What you need

Accounts with AssemblyAI, OpenAI, and Supabase.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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