AI should be answerable to the business it works for.
Adanse is the operating layer between your organisation and the AI acting on its behalf — memory, workforce, governance and evidence in one system.
Most AI deployments fail on governance, not capability.
Businesses can already generate text, summarise documents and call APIs. What they cannot do is explain, six months later, why an AI system took an action, what it knew at the time, and who was accountable for it. Adanse exists to close that gap.
No action should exist without a record of who decided it, on what basis, and under which policy.
AI is only as good as the business memory behind it. We model what a company knows, not just what it prompts.
R0–R5 autonomy is not a limitation. It is how a business safely moves work from suggestion to delegation.
Every claim an AI employee makes is traceable to a source, a system or a prior decision.
Principles that show up in the product
Business Memory and the Intelligence Graph keep facts, entities and systems in one connected model.
AI employees have departments, remits, skills, capabilities and an autonomy ceiling — like any colleague.
Rules are evaluated before an action executes, and the applied policy version is stored with the decision.
Hash-chained audit, signed decision exports and outcome measurement come as standard, not as an add-on.
What the platform guarantees
Autonomy levels applied per employee and per action
Actions written to an append-only audit trail
Every decision carries reasoning, policy, approver and outcome
Human users on every plan — you pay for AI work, not seats