Turn human know-how into AI-ready knowledge assets
Khasset captures, structures and enhances the field experience of your teams, experts or communities to create know-how bases that can be queried by specialized AI agents.
For companies, networks, industries, public organizations and professional communities.
Know-how often disappears before it is passed on
In every organization, valuable knowledge remains invisible: field experience, implicit methods, avoided mistakes, difficult decisions, operational tips, professional practices, project feedback and expert reflexes.
Khasset turns experience into actionable collective intelligence
Khasset creates know-how universes: structured, reliable and governed knowledge bases built from real field experience.
Our 5-step method
Capture
Interviews, guided forms, workshops, documents, audio, videos and structured field feedback.
Structure
Each contribution becomes an actionable card: context, problem, solution, tools, costs, results, mistakes, limits.
Qualify
Content is enriched, anonymized, classified, tagged and assessed for reliability, accuracy and usefulness.
Protect
Timestamping, traceability, confidentiality, access and sharing rules defined by each community.
Activate
The base becomes usable through specialized AI agents, search engines, dashboards and professional assistants.
A Khasset universe for every profession, sector or community
Khasset can create know-how bases by vertical, profession, organization size, network or project.
Our first two know-how communities
Khasset is launching its first knowledge universes around two communities where field experience is valuable, scattered and difficult to pass on: French small business leaders and mayors of French municipalities.
Each Khasset community brings together experienced practitioners to capture their field feedback, structure their know-how and create an AI-queryable base.
Know-how of small business leaders
The real-world experience of French business owners, structured to help those facing similar situations.
Capitalize on field experience across employment, management, taxation, sales development, recruitment, tools, organization, business transfer and financing.
- How can a business owner handle a difficult employee situation while respecting employment law?
- How do you choose a good web acquisition provider?
- Which CRM tools really work for SMEs?
- How do you structure a sales team?
Know-how of mayors of French municipalities
The practical memory of local elected officials, captured and shared to help mayors facing similar field realities.
Collect and structure the field experience of mayors, former mayors, deputy mayors, municipal executives, town clerks and local government officers.
- How do you prepare your first municipal budget?
- How do you handle a divided municipal council?
- How do you lead a school renovation project?
- How do you work effectively with the intermunicipal authority?
Join a Khasset community
Each community defines its own sharing rules
Khasset makes it possible to create know-how bases with rules adapted to each community. Contributors share their experience and obtain access according to the rules defined for the relevant universe.
The first Khasset communities will be built with their contributors.
SME leaders and mayors will share field experience, suggest use cases and participate in defining access rules.
"Khasset does not simply store knowledge: the platform organizes its governance, access and value creation."
A contribution registry to trace knowledge inputs
For some universes, Khasset can associate contributions with a timestamped registry to prove the existence of a contribution, track versions and organize access rights.
- Date a contribution
- Link a contribution to an author
- Track versions
- Manage access rights
- Calculate contribution credits
- Document governance
Blockchain when it is useful, not when it is decorative.
Khasset uses a distributed registry when proof, traceability or contribution governance justifies it. Otherwise, we favor simple, secure and adapted solutions.
The registry complements contracts, licenses, confidentiality rules and terms of use specific to each universe.
Concrete use cases
Three ways to build your know-how asset
Knowledge Asset Diagnosis
Identify the know-how to capture, available sources and priority AI use cases.
- Knowledge audit
- Source mapping
- Community identification
- AI use case prioritization
- Governance recommendation
Creation of a Khasset universe
Build a first structured know-how base.
- Collection of field experience
- Know-how card model
- Taxonomy
- Anonymization
- Qualification
- AI-ready base prototype
Specialized AI Agent
Activate the base through an AI interface.
- Conversational assistant
- Sourced search
- Role-based access
- Dashboard
- Contribution rules
- Usage reporting
Why Khasset is different from a standard AI tool
Reliability, confidentiality and governance
Confidentiality
Sharing rules and access levels defined for each universe.
Quality
Qualified, sourced and assessed contributions.
Governance
Each community defines its own contribution and usage rules.
Traceability
Versions, authors and contributions traced via a dedicated registry.
Sourced AI
Answers backed by identifiable and contextualized cards.
Compliance
GDPR-ready, with contracts and licenses per universe.
Join the first Khasset communities
We are launching two first know-how universes: SME leaders in France and mayors of French municipalities. Join a community, suggest a field experience or create a new universe.
Contact Khasset
Tell us about your project or intention. Our team will get back to you quickly to explore your know-how universe.