Minoa vs ChatGPT

You can draft one, and it will read well. What a general-purpose model cannot do is keep it. Nothing compounds: the next rep starts from zero, every case uses different assumptions, and no number traces back to an outcome your company actually delivered. Minoa owns the value data layer, so your four-hundredth business case is better than your first.

The writing half of the job. Framing an argument, rewriting an executive summary for a specific audience, and rehearsing the rebuttals a skeptical CFO will raise. Keep using it for that. The part it cannot do is own the framework, the benchmarks and the record.

Because leadership cannot stand behind numbers that were invented per deal. When one rep assumes 20% time saved and another assumes 45%, neither figure survives a CFO conversation, and the value story stops being defensible at exactly the moment it needs to be.

Minoa ships a remote MCP server, so agent environments that support MCP can read business cases, value frameworks and account context as structured data, and trigger Minoa actions. Reading data is always free. You get the chat interface and the data layer together rather than choosing between them.

A connector gives the model read access to records. It does not give you a value framework, benchmarks from your own closed deals, a shared artefact the buying group can edit, or a value scorecard that follows the account into renewal. Those four things are the product.

Per seat, yes, and most revenue teams already have licences. The comparison that matters is against the outcome: deals between $100k and $500k carrying a business case won 42% of the time versus 23% without, across roughly one million opportunities. A draft nobody can defend does not move that number.