The Citadel Trust Model

How graduated autonomy turns agent performance into earned operating permission — four levels, the evidence to move between them, and who decides.

  • Playbook
  • 7 min read
  • Updated Sep 29, 2026
  • Playbook

Autonomy is the most valuable thing you can give an agent and the most dangerous. Give too little and it saves nobody any time. Give too much and the first serious mistake ends the project — and often the appetite for agents with it.

The Citadel trust model answers the question of how much with a principle: control expands only when evidence earns it. Autonomy is designed as a graduated operating choice, not a blanket setting. This playbook explains the four levels, the evidence that moves an agent between them, who decides, and the register that keeps it honest.

Chapter 01

The model: four levels

LevelThe agentThe personControls requiredEvidence to move up
ObserveRecommends actionsExecutesRead-only access; recommendations logged next to what the person actually didRecommendations agree with good human decisions; nothing proposed outside scope
AssistPrepares the work and waitsApproves each action explicitlyWrite tools behind an approval gate; requests carry evidence; decline reasons capturedApproval rate high, edits small, declines explained and falling
OperateActs within narrow policies and defined limitsHandles exceptions, reviews samplesLimits enforced outside the agent; exceptions routed; sample review; monitoring and a way to pauseExceptions handled well, sample errors rare, boundary hits explained, outcomes at or above baseline
OptimizeProven workflows expand through measured, reviewed changesApproves each changeA change process; re-evaluation on every change; regression suiteSustained results through changes; each expansion evaluated before it takes effect
Figure 1. The Citadel trust model.

Each step up gives the agent one thing it did not have — execution, then independence within limits, then wider scope — and each needs evidence from the level below. Assist depends on well-designed approvals; Field Guide 014 covers the patterns.

Four ascending plinths show an agent and a Wizard sharing a tool in different ways, from pointing to working within a fence.
Chapter 02

Three rules

1. Autonomy belongs to an action, not to an agent

The same agent can Operate on order-status replies, Assist on refunds, and only Observe on anything involving a contract. Grant autonomy per workflow and per action type. An agent described simply as "autonomous" has not been governed; it has been trusted.

One cyan agent stands at a junction of three doors: it passes through one, waits at another and only looks through the third.

2. Moving up is a decision a person makes, on evidence

Promotion is never automatic and never a setting someone changes because a demo went well. It is a recorded decision: the evidence considered, the person who decided, the date, and the new limits. In the Guild, Oracle scores the evidence, Sentinel checks that the boundaries held, Athena owns the approval points, and a Human Wizard makes the decision.

3. Moving down is normal, and fast

A step down is not a punishment; it is how the model stays safe while things change. It should take one action, by the owner, without a meeting.

Chapter 03

Earning a promotion

Write the criteria before the period starts, so the evidence is judged against a standard rather than a mood.

A Wizard seals a glowing tablet on a dais beside a balance of evidence orbs while a cyan agent waits below the steps.
  • Volume — enough cases at the current level to judge, including the uncommon ones, not only the easy ones.
  • Time — long enough at the level to include the busy days, month-end, and the unusual.
  • Thresholds — the measures that matter for this action are at or above the levels set in advance.
  • Must-pass record — no policy, permission or approval failures during the period.
  • Edge cases — the escalation cases have occurred and were handled correctly; if they have not occurred, they have been tested.
  • Re-evaluation — the full scenario suite has been re-run at the proposed scope and limits.
  • Owner agreement — the operating owner accepts the new level and the new risks.
Figure 2. Promotion criteria worksheet.

If the criteria are met, the person deciding records the promotion. If they are not, the record says what is missing.

Chapter 04

What to measure at each level

The evidence differs by level, because the question differs.

  • At Observe — agreement. How often the agent's recommendation matches what a competent person decided, and, in the disagreements, who was right. Disagreements in which the agent was right are as informative as the ones in which it was wrong.
  • At Assist — approval health. The share of work approved unchanged, the size of the edits, the reasons for declines, and how long requests wait. Long waits are a design problem, not an agent problem.
  • At Operate — outcomes and exceptions. Task success against the baseline, exception rate, human intervention rate, errors found in sample reviews, boundary hits, cost per mission.
  • At Optimize — stability through change. Regression results after every change, and whether outcomes hold as scope grows.

In the Guild's Evaluation Lab, Oracle owns these measures. They come from the same scorecard used before launch, so the evidence before and after go-live can be compared directly — and a promotion can be argued from numbers rather than impressions.

Chapter 05

Triggers for stepping down

Step an agent down — at least for the affected actions — when any of these happens:

A Wizard's hand lowers a brass lever one notch while a cyan agent calmly steps down one stair behind it.
  • an incident, or a must-pass failure in production;
  • a change of model, instructions, tool or knowledge source, until the suite has been re-run;
  • drift: the measures move away from their levels at promotion;
  • the business changes — a new policy, product, market or regulation;
  • a pattern of boundary hits that nobody can explain.

Return to the previous level when the cause is understood and the evidence is back. That is also a recorded decision.

Chapter 06

What changes in the Citadel at each level

The level is not a label on a slide; it is configuration that people can see.

A cutaway of three chambers: an approval desk with a queue of parcels, a table of ringed agent sigils and an unrolling scroll.
  • Approvals — at Assist, every action of that type waits in the approval queue. At Operate, only exceptions and actions above limits arrive there.
  • Agent Console — shows which agents are active and whether they are within policy, so the current level and its limits sit on the agent's record.
  • Activity Ledger — records what changed, who acted and on what evidence, including every promotion and step-down.

When someone asks why an agent was allowed to act alone, the answer is a link, not a recollection. The Citadel page shows the modules involved.

Chapter 07

The autonomy register

Something concrete for the next working session: one row per agent action.

A Wizard's finger follows a row of tiny glowing pictograms on a large open ledger under a hovering eye sigil.
Workflow / actionCurrent levelSinceLimitsEvidence for this levelPromotion criteriaNext reviewOwnerApproved by

Review it at a fixed rhythm with the operating owner. A row with no evidence, no owner or no review date is the first thing to fix.

Chapter 08

Example

Illustrative example, not a client engagement.

An accounts team uses an agent to chase overdue invoices.

  • Observe. Each morning the agent lists which invoices to chase and drafts the reminder; a person decides and sends. After several weeks its lists match what the team would have chosen, and its drafts need little editing.
  • Assist. The agent prepares the reminders in the email tool; a person approves each one. Edits shrink; the declines that remain are about customers in an active dispute — so disputes become an escalation rule.
  • Operate. The agent sends first and second reminders on its own within approved templates and a daily cap. Third reminders, disputed invoices and key accounts go to a person. A sample is reviewed every week.
  • Step down. The finance system changes its invoice export. Until the scenario suite has been re-run against the new format, sending returns to Assist. One action by the owner; recorded.
  • Optimize. With a steady record, the owner approves a measured change: adjusting reminder timing by customer segment, evaluated before it takes effect.
Chapter 09

Failure modes

Failure pattern — Promotion by enthusiasm. A good week, a convincing demo, a busy team — and the agent moves up without the criteria being met. Write the criteria first.

  • One level per agent. The risky actions inherit the autonomy earned by the safe ones.
  • No way back. Stepping down needs a project, so nobody does it.
  • Volume without variety. Hundreds of easy cases, none of the hard ones, read as a strong record.
  • Silent drift at Operate. Nobody reviews samples because nothing has gone wrong yet.
Chapter 10

Checklist

  • Autonomy is recorded per workflow and per action, not per agent.
  • Every new agent starts at Observe or Assist.
  • Promotion criteria are written before the evaluation period.
  • Every promotion and step-down is recorded with evidence and a name.
  • Step-down triggers are defined, and stepping down takes one action.
  • Changes of model, instructions, tools or knowledge trigger a re-run.
  • Operate-level actions have limits enforced outside the agent and a sample review.
  • The autonomy register has an owner and a review date for every row.
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