Selected pilots
INO turns founder judgment into firm memory.
A second brain and judgment-transfer agent that captures context, decisions, patterns, and reasoning so others can scale or inherit the work.
Documentation records facts. It rarely transfers judgment.
The hard part is not storing documents. It is transferring how an owner reads a situation, makes tradeoffs, and decides what matters. INO is built for that layer.
- ·Context gets trapped in the founder's head.
- ·Handoffs lose why a decision was made.
- ·Teams inherit documents, not judgment.
Context memory
Organizes key facts, decisions, relationships, and open loops.
Judgment patterns
Captures how the owner evaluates tradeoffs and risk.
Handoff briefs
Prepares context for successors, operators, or specialist teams.
Decision trails
Keeps the why behind important choices findable.
Firm memory
Turns scattered notes, docs, and conversations into a usable operating brain.
Map knowledge flows
Find where the firm loses context today.
Capture decision context
Structure documents, conversations, and corrections into reusable memory.
Produce handoff artifacts
Generate briefings, operating notes, and context packs.
Tune the judgment model
Use corrections to improve how INO represents the owner.
Managed, not self-serve. A MAIDA agent is a Managed Artificial Intelligence Digital Agent: built around your data, your process, your approval gates, and your commercial outcome.
Double self-improvement loop. Client corrections improve the client agent. Patterns across deployments improve AI Jungle templates and playbooks without leaking client data.
Human approval by default. External messages, financial actions, and sensitive decisions stay gated by people unless the client explicitly changes the operating policy.
Is INO a document search tool?
No. Search is one layer. INO is focused on context, judgment, and handoff.
Can INO be used for succession?
Yes. Succession, scaling, and transmission are core use cases.
How is client data protected?
Each deployment is isolated. Cross-client learning improves AIJ playbooks without leaking client data.
Start with the workflow where AI can create visible leverage.
We will tell you if I Know is the right first agent, or if another workflow should come first.
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