Framework
How Much Autonomy An Agent Has Is A Design Decision
Autonomy is not all-or-nothing. We design the right level per agent and per task.
Framework in motion
How the framework plays out in delivery
1
Adopt
Adopt Agent Autonomy Levels as the shared language across your operation.
2
Map
Map your current state to each layer of Agent Autonomy Levels.
3
Prioritize
Pick the highest-value layer to deploy first.
4
Operate
Run, measure, and expand against Agent Autonomy Levels.
What we build
An operating layer of digital workers
1
Agents
Level 0. Research only · Level 1. Draft only · Level 2. Low-risk execution
2
Workflows
Apply Agent Autonomy Levels across one department first · Roll out company-wide once value is proven
3
Systems
CRM · ERP · Help desk
4
Approvals
Owner per layer · Sign-off on go-live · Quarterly governance review
5
Dashboards
Agent Autonomy Levels coverage by layer · Value scorecard · Risk & control posture
Where the work breaks
Most companies adopt AI in fragments. a chatbot here, a tool there. Without Agent Autonomy Levels, the result is noise, not leverage.
↓
AI experiments don't connect to
AI experiments don't connect to revenue
✕
Nobody owns the agent like
Nobody owns the agent like a job
▲
Governance is bolted on after
Governance is bolted on after the fact
What this unlocks
What Agent Autonomy Levels unlocks
Revenue gained
Retention lifted because customers get answers in seconds, not days.
Cost reduced
Fewer admin hours per ticket, per quote, per onboarding, per renewal.
Speed improved
Reporting moves from monthly look-back to live look-forward.
Risk reduced
Every action, prompt, and approval logged for audit and review.
Visibility improved
Anomalies surface as alerts, not as month-end surprises.
The gap
Where you are now → Where we take you
Dimension
Where you are now
Where we take you
Gap 1
No clear pattern for level 0. research only.
The agent reads and summarizes; it cannot act.
Gap 2
No clear pattern for level 1. draft only.
The agent prepares work for a human to send.
Gap 3
No clear pattern for level 2. low-risk execution.
The agent acts on low-risk, reversible tasks.
Gap 4
No clear pattern for level 3. approval-based execution.
The agent prepares the action; a human approves before it runs.
Gap 5
No clear pattern for level 4. managed autonomy.
The agent acts within tight guardrails, monitored continuously.
Why this matters now
The shift is already happening
Dimension
The shift in the market
The cost of waiting
What's changing
Companies winning with agentic AI run on shared frameworks like Agent Autonomy Levels. every agent has a job, an owner, and a number to move.
Without Agent Autonomy Levels, every new agent re-opens the same arguments and re-introduces the same risks.
Revenue. Speed. Control.
Start with a 2-week Agentic Value Scan. We map your manual work, quantify the leaks, and put your first agent in production in four weeks.
Agent Autonomy Levels
Inside the framework
1
Level 0. Research only
The agent reads and summarizes; it cannot act.
2
Level 1. Draft only
The agent prepares work for a human to send.
3
Level 2. Low-risk execution
The agent acts on low-risk, reversible tasks.
4
Level 3. Approval-based execution
The agent prepares the action; a human approves before it runs.
5
Level 4. Managed autonomy
The agent acts within tight guardrails, monitored continuously.