In short
The problem and the solution
The problem
Pricing logic, discovery questions and the answers that win deals live in your head. Proposals get rebuilt from old files, and revenue depends on your calendar.
The solution
We capture how you sell, turn it into a playbook and proposal library, and prepare your team for each meeting from your rules and the client's history.
What changes
More people can close, proposals take less time, and a buyer sees revenue that does not walk out with you.
A story you may recognize
When the friction between knowledge and the conversation disappears
Picture a sales meeting that goes off script. The client asks about something your rep has never handled. Today, the rep says "Let me get back to you", calls you afterwards, and the moment is gone.
How the story ends, and what it means for you
Morgan Stanley faced that problem at scale. Its advisors needed answers from a knowledge base of more than 100,000 internal documents, research and procedures. The firm built an internal assistant on that material and tested every use case with evaluations before rollout. More than 98% of advisor teams now use it.
Jeff McMillan of Morgan Stanley described the effect on client conversations: "Now, advisors can engage clients on topics they haven't discussed before because the friction between knowledge and communication has gone to zero."
You do not need 100,000 documents for the same effect. In an owner-led company, the most valuable sales knowledge is usually in one head: which clients are worth chasing, what to ask first, how you price a rush job, what you say when someone says "too expensive". Once that is captured, your team can bring it into the room.
Source: OpenAI customer story, Morgan Stanley
What the research shows
You are not alone with this
Little time is left for selling
Sales reps spend 28% of their week actually selling. Most of the rest goes to deal management and data entry.
Source: Salesforce, State of Sales, 5th edition
Proposals are slow
Teams spend an average of 23.8 hours writing a single proposal response.
Source: Loopio, RFP Response Benchmarks 2020
Company case studies
Companies that faced the same problem
These businesses tackled the same problem in their own way. Each case study sets out what they did and where a Company Brain could take it next.
What three companies did about it, one case study each
COSMO CONSULT · Business software consulting
COSMO CONSULT cleaned up its CRM data before adding AI agents. Microsoft reports that its pipeline volume roughly quadrupled between 2022 and 2025.
Read the case study
Experience Your Wealth · Financial planning
Jake Northrup built a private AI assistant from the firm's procedures and more than seven years of client conversations.
Read the case study
Nexio Projects · ESG and sustainability consulting
Nexio set guardrails before rolling out AI assistants. The vendor reports 88% daily use after four months, and around 95% of HR questions resolved without a colleague stepping in.
Read the case study
Your step-by-step plan
What you can do, starting this week
Each step assumes your ExValu Company Brain is in place: your documents and the know-how of your people, connected so your team can ask questions and get sourced answers. The time estimates are typical and depend on your business.
- 1
Record how you sellThree 60-minute sessions
Cover your ideal client, the clients you turn down, your first-meeting questions, your pricing and discount rules, and your ten most common objections with your answers. Your Company Brain turns this into a playbook in your words.
- 2
Build the proposal library2 hours
Add your best past proposals, case stories and terms. The Company Brain marks which parts are approved for reuse, so a first draft takes minutes.
- 3
Prepare every meeting from the Company Brain10 minutes per meeting
Before a call, a rep asks "Brief me on this client and the likely objections" and gets your playbook combined with the client's history from your CRM.
- 4
Answer objections liveOngoing
During or after a call, a rep asks "How do we answer a client who wants a 20% discount for a two-year contract?" and sees your rule and your reasoning.
- 5
Add one lesson per closed deal5 minutes per deal
Won or lost, the rep adds what made the difference. Over a year, the Company Brain learns what works in your market.
- 6
Let a second person closeFrom month 3
Pick one deal type and let a named person run it end to end with the Company Brain's support. Track the results, because they are the evidence a buyer wants.
What it does for the value of your business
What a buyer sees
Without a Company Brain
Most new revenue depends on you personally. A buyer worries that clients and deal flow leave with you, and protects itself with an earn-out tied to future sales.
With a Company Brain
Your sales method is written down and used by others, with deals closed without you on record. A buyer sees a sales engine that transfers, and has less reason to make part of the price depend on you staying.
Strategic buyers also value a playbook their own sales team can adopt after the deal.
How you will know it is working: four numbers to track
Measure it
How you will know it is working
- Share of new revenue closed by someone other than you
- Time to produce a first proposal draft
- Meetings prepared with a Company Brain brief
- Win rate by rep, before and after
Privacy and trust: how your knowledge stays private
Privacy and trust
Client details stay in your CRM with access by role. The playbook holds your sales method, and client-specific notes are only shown to the people who handle that client.
Want to talk it through?
Answer a few short questions to see if the Company Brain fits, then pick a time for a 30-minute call with our team.
Where every fact on this page comes from
Sources
- OpenAI customer story, Morgan Stanley
- Salesforce, State of Sales, 5th edition, 2023
- Loopio, RFP Response Management Benchmarks and 2020 Trends Report
Facts and figures are as reported in the sources above, checked by our team on October 11, 2026. Company-reported and vendor figures are described as such. To request a correction, write to [email protected].
ExValu - Human vision, AI output