The same question, two ways.
One pipeline question, answered twice. Once through a standard stack of CRM, notetaker and email servers. Once through the Doris Ontology.
Tokens
A standard MCP stack
The Doris Ontology
Model used: Claude Opus 5.
The question we asked.
“Across our open deals, which three has the buyer gone quietest on? For each, tell me how many days since the buyer last made contact, what is still outstanding on the deal and who owes it, and whether the close date is at risk.”
A CRM records the last activity on a deal, not the last time the buyer made contact. And it cannot say who owes what, because that was said out loud on a call.
What each side was given.
Both sides pay for every tool they expose, on every round.
A standard MCP stack
The three a team already has: a CRM, a notetaker and an email client.
- CRM 18 tools
- Notetaker 10 tools
- Email and calendar 18 tools
The Doris Ontology
One server. The same read tools anyone can connect to the public sandbox today.
- Doris Ontology 8 tools
Where the difference comes from.
More servers is not the problem
Connect two more and the bill barely moves. The tools are not what costs you, which is why trimming your stack will not fix this.
It is what they hand back
CRM rows, call lists, mail headers, transcripts. All of it dragged into the model so it can find the one fact inside. The ontology hands back the fact.
Every round pays for the last
Whatever the model read in round one is sent again in round two, and three, and four. Running calls in parallel helps. It cannot go below the rounds your data forces.
The answer changes too.
A stack rebuilds the meaning of a deal out of raw speech, every time you ask. The ontology reads meaning that was captured once, typed, and linked to what surrounds it.
A promise is not a state
A transcript tells you somebody said they would do something. It cannot tell you whether it happened, when it was due, or which side owed it. On the record those are fields, kept current.
It says when it cannot answer
Ask for comparable deals where there are none and you get told there are none, and why. A model reading call recordings cannot tell the difference between nothing to find and not having looked.
Some questions do not fit
Which past deals hit this same objection, and what did the rep who won them say? One call. The other way is reading every closed deal you have, and there is more of that than a context window holds.
See it on your own pipeline.
We'll walk your pipeline with you and show what Doris finds in it.