The 9Q Grid
The 9Q Grid is an AI strategy framework created by Suhit Anantula to answer two questions: what is the role of the human, and where should the machine act? It crosses AI agency (Assist, Augment, Adapt) with the type of work (structured, dynamic, complex) to give nine quadrants, from Q1 Operator to Q9 Conductor, so leaders can map their AI portfolio and govern it by trust.
It is not a ladder. Q9 is the most demanding quadrant, not the best one.
The two axes
AI agency (how much the machine does relative to the human):
- Assist: AI helps; the human does the work and stays at the helm.
- Augment: human and AI iterate together; the human is in the loop.
- Adapt: AI acts; humans govern boundaries and exceptions, on call.
Type of work (how predictable it is):
- Structured: known work, defined rules.
- Dynamic: iterative; the human is the author.
- Complex: genuinely uncertain, with no known answer.
The Q stands for quadrant: Q1 to Q9 are the nine positions on the grid. The framework comes from Chapter 3 of The Co-Intelligent Organisation.
The nine quadrants
Q1 → Q5 → Q9 is where agency matches the work: a capability path, not a deployment strategy. The higher the agency, the more trust must already be earned.
| Quadrant | Name | Axes | One line | Failure mode |
|---|---|---|---|---|
| Q1 | Operator | Assist × structured | Execute a known line of work faster. | Tool dependence |
| Q2 | Tactician | Augment × structured | Make bounded calls inside a fixed frame. | Recommendation capture |
| Q3 | Automator | Adapt × structured | Delegate structured work to the machine. | Drift on autopilot (silent drift) |
| Q4 | Weaver | Assist × dynamic | Pull dynamic threads into coherence. | Loss of thread or voice |
| Q5 | Partner | Augment × dynamic | Think together in mutual iteration. | Capability atrophy (dyad dependency) |
| Q6 | Optimiser | Adapt × dynamic | Let AI iterate dynamically toward a target. | Optimising the wrong thing |
| Q7 | Navigator | Assist × complex | Orient in uncertain, emergent terrain. | Signal overload |
| Q8 | Explorer | Augment × complex | Co-search ambiguous futures and novel space. | Endless exploration (simulation capture) |
| Q9 | Conductor | Adapt × complex | Govern adaptive complexity across a field. | Rubber-stamping outputs (orchestra drift) |
Which page answers your question?
- Who should decide — the person or the AI?Place each decision on Assist, Augment or Adapt against the type of work.
- How do we choose between AI use cases?Score value and feasibility, then place each idea on the 9Q Grid by agency and type of work.
- How much should AI do on its own?Assist, Augment or Adapt — the right level depends on the work.
- What framework should our AI strategy use?Start with a map of where AI acts, then choose the next coherent moves.
- Which AI strategy are we really running?Read the portfolio pattern: three traps, four deliberate shapes, each with a trade-off.
- How should our board govern AI?Govern by trust: what stays human, and where the machine acts across nine quadrants.
- Which AI should government let act?Map public-sector AI by agency and work, beside policy — not instead of it.
- Why do our AI pilots stall?Most stall from mislabelling or an overdrawn trust budget, not bad tech.
Use it to design your human–AI operating model
9Q is useful for more than naming tools. Map a real capability, workflow or agent system to the grid, then ask what remains a human judgement, what can be augmented, and where the machine may act (Adapt), with humans governing exceptions.
The resulting portfolio shape makes a practical discussion possible: where an organisation is standardising work, where it is building human–AI partnership, and where it is exploring more adaptive coordination. The aim is not maximum autonomy. It is a coherent fit between the work, the machine role and the human responsibility.
Three ways to use the grid
The diagnostic: six questions — a portfolio position, not a maturity score.
The case library: 38 companies read from public evidence.
The canvas PDF.
Case positions reflect visible public evidence at their stated research dates, not internal disclosures.
Where the 9Q Grid has been used
The 9Q Grid was designed after Helix's work with RAA; we have since mapped RAA, City of Mitcham and our other client work onto it. Helix case studies ↗
FAQ
What is the 9Q Grid?
The 9Q Grid, by Suhit Anantula, maps AI agency (Assist, Augment, Adapt) against the type of work (structured, dynamic, complex) in nine quadrants, from Q1 Operator to Q9 Conductor.
What does the Q in 9Q stand for?
Quadrant. Q1 to Q9 are the nine positions on the grid.
Who created the 9Q Grid?
Suhit Anantula, strategist and author of The Co-Intelligent Organisation (Chapter 3) and founder of The Helix Lab.
What is the difference between Assist, Augment and Adapt?
Assist: AI helps; the human does the work and stays at the helm. Augment: human and AI iterate together; the human is in the loop. Adapt: AI acts; humans govern boundaries and exceptions, on call.
Is the 9Q Grid a maturity model?
No. It shows position, not progress. A structured, rules-heavy process can rightly stay at Q1 or Q3.
How is it different from human in the loop?
“Human in the loop” names one position. 9Q gives three human roles (at the helm, in the loop, on call) and ties each to the type of work. See AI autonomy levels for the organisation and agent view.
How do I use it?
Plot your top ten AI initiatives; ask which quadrant each is really in, which quadrants are overcrowded, and where each should move next (the book's "Before We Move On" exercise).
AI strategy consulting at The Helix Lab ↗ · AI readiness diagnostic ↗ · Strategic shapes (Chapter 4) · AAA Licence
Continue the work
Turn your map into a next move.
Use the 5Ps to explore responses to what the map reveals, test a move and carry the learning into the next loop.
For AI software options, explore Agent Watch ↗.