Company A · Day 1
- Laptop
- AI assistant account
- CRM access
Everything the team has learned about working with AI
0
A blank chat, and a lot to figure out alone.
The organizational AI harness
Your people are learning AI.Your organization should too.
Maison AI turns what your best people discover into shared skills, methods and rules. Then it gives everyone an AI setup that inherits them, from their company, team and role.
Your organization
- Northstar Inc.8
- Sales12
- France4
- SDR7
- Camille3
Where Camille sits: the company, Sales, France, the SDR role, and her own preferences.
Maison AI
Context
Context for Camille34
Library
Account Research · v2.4Team standard
Learning loop
Watching for work your teams repeat.
Camille Laurent’s AI tool
- Claude
- ChatGPT
- Gemini
- Copilot
Prep my first call with Transports Morel on Thursday.
Added by Maison AI
- Account ResearchSkill
- French Market ContextFrance
- Language Rules (vouvoiement)France
- MEDDPICC MethodologySales
- Confidential Data RulesNorthstar Inc.
Brief ready: three priorities to open with, formal register, no customer financials outside approved models.
The problem
Today, AI serves a few individuals. Not the organization.
Within one company, often within one team, AI use is wildly uneven: a few people get a lot out of it, most get very little. What works stays with whoever found it, and the organization’s performance doesn’t move.
The idea
What if your organization could learn?
When one person finds a better way to work with AI, everyone should get it. Maison AI does this with three systems.
- 01ContextHow should AI work for me, given where I sit?Rules, methods and preferences, inherited from company, team and role. Personal on top.See it
- 02LibraryWhat already exists here?The living catalog of how the company works with AI, organized by the work itself.See it
- 03Learning loopWhat are we learning?Repeated patterns become drafts, drafts get reviewed, the best reach everyone.See it
01 · Context
Company rules, team methods, personal preferences. In everyone’s AI.
Each person’s AI receives the context of where they sit in the organization. Camille, an SDR in France, inherits 31 items from Northstar Inc., Sales, France and the SDR role, and adds 3 of her own.
01
The company decides what must always apply.
Approved models, data rules, connectors, human validation.
02
Teams decide how they work.
Methods, workflows, standards, local context.
03
People decide how they prefer to work.
Preferences, shortcuts, optional skills, experiments.
The company layer is your AI governance: approved models, data rules, human validation, inherited by every setup.
Organization
Effective AI context
Northstar Inc./Sales/France/SDR
31items · 24 people
Inherited from Northstar Inc.
Company8- AI Security Policy, Policy, always applies
- Confidential Data Rules, Policy, always applies
- Approved Models, Policy, always applies
- Approved Connectors, Policy, always applies
- Human Validation Rules, Policy, always applies
- Brand Voice, Method
- Northstar Terminology, Context
- Products & ICP, Context
Inherited from Sales
Business unit12- MEDDPICC Methodology, Method
- CRM Conventions, Method
- Qualification Framework, Method
- Customer Segmentation, Context
- Meeting Preparation Workflow, Workflow
- Discovery Prep, Skill
- Competitor Scanner, Skill
- Call Summary, Skill
- Pricing Guardrails, Policy
- Objection Handling Playbook, Method
- Sales Glossary, Context
- Win/Loss Library, Knowledge
Inherited from France
Team4- French Market Context, Context
- Local Messaging Guidelines, Method
- Language Rules (vouvoiement), Method
- Outreach Drafting FR, Skill
Defined here
Role7- Account Research, Skill
- Prospect Qualification, Skill
- Outreach Preparation, Workflow
- Sequence Planning, Method
- Cold Call Prep, Skill
- Lead Routing Rules, Policy
- CRM Hygiene Checklist, Method
Set by Northstar Inc. Applies everywhere below, cannot be switched off.
Select any team or role to see what its AI inherits.
02 · The library
Your best AI practices, shared with everyone.
Every skill has an owner, a version, a rating and a status. Anyone can add it to their setup in one click, and suggest how to improve it.
Viewing as Camille Laurent
Try
Recommended workflow
Account ResearchCRM History AnalyzerCompetitor Scanner
Skill · v2.4
Account Research
- Owner
- Revenue Operations
- Used by
- 84 people
- Version
- 2.4
- Updated
- 6 days ago
In your setup, from SDR
Produces a one-page brief on any account: what they sell, recent signals, past conversations with Northstar, and three likely priorities to open with.
When to use it. Before a first call, or when an account resurfaces after six months or more.
Quality92
Rated 4.8 by 84 people
Security96
Reviewed · no open findings
Efficiency81
3.1k tokens per run
Adoption88
Used weekly by 84 people
History
- v2.4 · 6 days agoRegional press sources added. Suggested by Camille Laurent.
- v2.0 · 3 months agoBecame the SDR team standard.
Suggested improvement. 6 people asked for open job postings in the brief. A draft v2.5 is ready for the owner to review.
03 · The learning loop
Maison AI spots the work your teams repeat, and proposes a shared standard.
Here, 18 SDRs were preparing accounts the same way, each on their own. Maison AI drafted a skill, Revenue Operations reviewed it, and every SDR now starts with it.
Repeated workflow detected
18 SDRs are doing the same thing.
This month · France & Germany
A similar five-step sequence, run 140 times. Each person built it on their own.
- 1Search the company100%
- 2Read its website and recent news94%
- 3Check CRM history83%
- 4List likely pain points72%
- 5Draft talking points67%
SDR layer
46 people
- Account research · no standard yet
- Prospect Qualification
- Outreach Preparation
- Sequence Planning
- Cold Call Prep
- Lead Routing Rules
- CRM Hygiene Checklist
- + 6 other SDR items
Learn from work. Never monitor workers.
Patterns, not people · Contribution is a choice · No scores, no leaderboards · Keep the method, not the conversation
The new employee test
Your 101st salesperson shouldn’t start from scratch.
They should start with everything the first 100 have learned.
Company B · Day 1
HBHugo Bernard, SDR France- Laptop
- AI assistant account
- CRM access
- Company context & security rules8
- Sales methodology & CRM conventions12
- French market & language rules4
- SDR workflows & approved skills7
Everything the team has learned about working with AI
31
Methods, skills and rules, inherited before the first coffee.
Two identical companies. Same laptop, same models, same CRM. Only one of them is structurally getting better at AI.
Start with one team. Let the organization learn from there.
Maison AI is in early development. We are shaping it with a small number of design partners.