We interview your team, codify what they know, and load it on top of your existing AI tools or in a content library.
Documentation is slow, and nobody records how they handled a concession in Salesforce. Some people also prefer to keep parts of what they know to themselves.
So each rep answers from their own experience, and the AI answers from none of it.
The people who have answered these questions 40 times are on your team. Their answers are not in any file.
Run by us or by our voice agent, anchored on a deal they just closed or lost: what was asked, what they answered, what surprised them. Every question is optional, so nobody shares what they would rather keep.
Each entry carries a name, a date, and the condition it applies to. Entries are tagged by topic, so the AI retrieves the right one instead of searching a pile of files.
One toggle in Copilot, ChatGPT, or whatever you run, with no new tool and no IT project. Or a searchable content library where each answer plays from the source video.
A standing 30-minute call per person: what worked, what did not, what changed. Approved updates go live the same day. Reps trust the answer because it is current, not a year-old document.
Week two after the finalist. The buyer's CFO writes: "We like the team. We need 10% off to get this through the board. Can you do it?"
""
Polite, generic, and it conceded 10% of a $48M contract.
The facts were in the files both times. The judgment came from one 30-minute call with the person who has answered this email 40 times. It now applies to every pursuit.
Answers come from the captured record of what your people said, not from the model's general knowledge.
Each answer carries who said it and when. On video, it carries the timestamp, so anyone can watch the source.
If the record does not hold the answer, the response states that and the question goes to a named person. Nothing unsourced reaches a rep or a buyer.
An entry past its confirmation date is flagged in the answer until its owner confirms or retires it.
Security teams accept this because there is no model writing on the company's behalf. The AI retrieves what a named employee said, or it asks that employee.
30 minutes. No camera, no shoot to schedule, nobody self-conscious. The transcript becomes the context the same day.
A delivery lead explaining a case study on camera gives a rep more than five written summaries they skim. Filmed by the Board Studios team, 14 years of enterprise video.
Choose per topic. Both feed the same library, and every answer keeps its source.
The answer, from the person who has given it before, in the rep's own AI, before the call. Products, case studies, solutions, pricing.
A few hundred captured answers cover most of what a large RFP asks. The team queries and gets the latest, attributed version instead of pasting from last year's response.
Your delivery leads on video. The committee asks, the answer plays from the timestamp. Anything unanswered comes back to you within 48 hours, and every question is logged and reported.
Start with one function and its highest-value questions. Expand by function once the first one shows a measured difference.
Baseline from their last five deliverables. Measured on every draft after that, automatically, on the sections the library covers.
Reported in writing at week four, whether or not the result favors us.
For Decision Rooms: who opened it, the questions they asked verbatim, and time to a routed answer.
Send us three questions buyers ask on every deal. We interview the person who answers them best, then show you what your AI answers today and what it answers with their expertise loaded.
We run a four-week pilot with one team, measured against your own baseline and reported in writing.