Digital Genome of an Organisation

Map everything.
Assume nothing.

Give Known. your context. It derives your goals, compiles them into a Genome, and classifies every gap into one of four bases (AI agent, automation, tool, or human), each with direction, ROI, and a full implementation spec.

Every gap fits exactly one.

The taxonomy is exhaustive and mutually exclusive. No ambiguity, no overlap. Known. classifies every gap before you decide what to do about it.

agent
AI Agent
When AI can own it end-to-end
If a workflow is repetitive, schedulable, or pattern-based, an AI agent is the answer. Agents work 24/7, don't need onboarding, and typically cost a tenth of an equivalent hire to build and run. Known. identifies which gaps are agent-shaped and specifies the build.

Signals

Repetitive tasks with clear inputs and outputs
Schedulable work (daily reports, data pulls, alerts)
Pattern recognition at scale
Low tolerance for ambiguity required
automation
Automation
When a workflow can run itself
If a process can be triggered, monitored, and completed without continuous human input, it doesn't need a person watching it: it needs an automation. Known. flags which gaps are workflow-shaped and specifies the trigger, steps, and monitoring.

Signals

Clear trigger condition and defined steps
No judgment call required mid-workflow
Runs on a schedule or in response to an event
Failure is detectable without a human checking
tool
Tool
When software already solves it
Before you hire or build, check if a tool already covers the gap. Known. flags when a capability is better served by an existing platform, and maps which tools are already in your org versus which ones are missing.

Signals

A mature software category already exists for this
The gap is solved by configuration, not custom code
Volume doesn't justify a headcount
Integration beats ownership
human
Human
When a person is genuinely required: the last base
Some gaps need judgment, relationships, or leadership. Known. only reaches for a human once agent, automation, and tool are ruled out, then picks the engagement that actually fits: a contractor, an outside partner or agency (named specifically), a fractional, or a full-time hire when that's genuinely the best call. It generates the right package either way: a role spec and scorecard for a hire, a scoped engagement brief for a partner.

Signals

Requires trusted relationships, judgment, or leadership
Can't be templated, scheduled, or bought off the shelf
Engagement: contractor, partner/agency, fractional, or a full-time hire, whichever genuinely fits
When outside delivery fits, Known. names the specific provider, not a generic 'an agency'

Built for decisions, not dashboards.

Genome

Your strategy compiled into a live graph. Every capability your goals require, mapped, classified, and connected. Anchored to the goal it covers, not just the team that exists.

AI gap analysis

Every gap is anchored to a strategic goal. Known. classifies each one and makes the case: direction on what to build or hire, and the ROI of every AI recommendation before you commit.

Scenario modelling

Fork the graph. Stage changes. Compare two org designs side by side, and see the capability and cost impact before any decision is final.

Design packages

JD, competency matrix, agent architecture, tool brief, process playbook, or partner brief, generated in one click. Every gap produces a complete implementation spec, ready to act on.

Operator Brain

Known. learns how you think: your beliefs, heuristics, and vocabulary declared in Settings, plus the judgment it infers from every correction you make. It steers every recommendation Known. runs, so the answers arrive sounding like you.

See it in your org.

Free during private beta. One workspace. All features. No setup fee.

Start mapping