Questions behind the search
What the reader is trying to decide
- How do we turn one workflow into an explicit authority contract?
- Who delegates, approves, executes, changes policy and stops the workflow?
- How do action, resource, amount, recipient and time scopes differ?
- Where must permissions be enforced independently of the model?
- How do we bind approval to the exact action a person reviewed?
- What changes require revalidation or a new approval?
- How should revocation affect queued and in-flight work?
- What evidence lets an operator reconstruct the result?
- Which allow, deny, replay and failure fixtures should we test?
- When should a consequential step remain manual?
Define authority boundaries for an AI workflow by writing an explicit contract: who delegates the work, which actions the system may take, which resources it may affect, and the conditions that must hold at execution. Add amount, recipient and time limits. Enforce the contract outside the model, tie human approval to the exact proposed action, and specify how to revoke authority, reconstruct events and continue manually.
Consider an invoice-reminder workflow. Reading an overdue invoice, preparing a reminder, sending it to the verified billing contact and changing the customer's payment terms are different actions. Permission for the first does not imply permission for the others. A connection that technically supports all four needs a narrower operating contract.
This guide helps an owner and implementer define one workflow together. It does not assign an autonomy score or prescribe production settings for every business. The worked example and its limits are hypothetical design choices, not a customer deployment, a financial recommendation or a claim about an existing product.
Start with a workflow outcome, then name the actors
Write the trigger and finish line before discussing tools. For example: “When the daily receivables review finds an eligible unpaid invoice, prepare a reminder for the accounts lead; send only the exact message that lead approves; record the delivery result against that invoice.” A payment, dispute or missing billing contact stops the send path and creates an exception.
Separate the people and software involved. The business owner delegates a bounded purpose. The accounts lead reviews messages. A workflow service proposes actions. A controlled sending component executes them. An operator can pause the workflow. The customer is a recipient, not someone who can change the workflow's permissions by replying to an email.
Authority boundaries for an AI workflow should identify these roles even if one employee holds several of them. Record named role holders, substitutes and who may change policy. Do not let the service that prepares a message appoint its own approver or turn an unverified chat participant into an administrator.
Authentication and authorization answer different questions: an authenticated identity is not necessarily authorized for every action or resource available through the system.[1] Your contract should therefore describe permitted conduct, not merely list who has a login.
Make the permission specific enough to reject a request
“Help with accounts receivable” cannot decide whether a particular send is allowed. An operational authority contract needs fields that an enforcement component can compare with a proposed action. Use the following structure as a starting point, then replace every example with the business's actual decisions.
| Contract field | Example decision | Reject when |
|---|---|---|
| Actors and purpose | Receivables service prepares reminders for the accounts lead | Another service or purpose requests the same operation |
| Action | Read eligible invoices, draft, request approval, send approved reminder | Request changes terms, issues credit, collects payment or deletes records |
| Resource | Selected entity's open invoices and necessary billing-contact fields | Another entity, payroll records or unrelated customer history is requested |
| Amount | Owner-defined invoice exposure ceiling; no payment authority | Invoice exceeds the ceiling, currency is missing or balance changed |
| Recipient | Verified billing contact from the authoritative customer record | Address comes from free text, differs from approval or adds a copy recipient |
| Time and volume | Named timezone, permitted sending window, approval expiry and contact cap | Window closed, approval expired or contact cap reached |
| Approval and stop | Designated reviewer approves exact action; operator can pause execution | Approval is absent, stale, withdrawn or workflow is paused |
Use separate verbs for read, draft, send, update, delete and delegate. Reading an invoice does not authorize changing its balance. Preparing a message does not authorize sending it. Sending an approved reminder does not authorize negotiating a payment plan in a follow-up conversation.
Define the resource boundary below the application level: business entity, customer relationship, record class, fields and environment. “CRM access” is too broad. The authoritative source for invoice status should also be explicit. If two systems disagree about whether an invoice is paid, route the conflict to a person rather than letting the model pick a convenient answer.
Defining authority boundaries for an AI workflow also means deciding which unknowns stop work. Missing currency, an unresolved customer identity or an unrecognized action should produce a denial or exception, not an inferred permission.
Treat amount, recipient and time as separate scopes
An amount scope needs a unit and meaning. In this reminder example, the invoice amount limits which cases enter the workflow; it grants no authority to move money. A purchasing workflow would need different fields for currency, taxes, delivery charges, per-order limits and cumulative spend. Do not reuse an invoice-exposure ceiling as a purchasing budget.
Where cumulative budgets matter, we recommend reserving the available allowance before execution and settling it against the verified result. Two parallel jobs should not both spend the same remaining budget. Define how cancellations release reservations and how uncertain outcomes hold them for reconciliation. These are implementation requirements to test, not features to assume a connector provides.
Recipient scope should identify the actual destination, including copy recipients, attachments, shared links and any external upload target. A familiar company domain alone does not establish that a particular person should receive an invoice. Let an authorized person maintain the billing-contact record through a separate process; do not silently accept a new address supplied inside a document the model reads.
Time scope includes when work may run, how long delegated authority lasts and when a pending approval becomes invalid. Name the timezone and handle clock changes deliberately. If nobody can approve during the sending window, keep the message queued for review or return it to manual handling. Do not interpret the approaching deadline as permission to bypass the reviewer.
Enforce the contract independently of model prompts
A prompt can explain the rules to the model, but the execution component must enforce them. OWASP recommends downstream authorization rather than relying on an LLM to decide whether an action is allowed, with security-policy validation for every request made through extensions.[3] A tool call should therefore be a proposal evaluated against trusted policy, not a command that becomes authorized because the model wrote it confidently.
Use deny by default: any action without an explicit matching permission fails. OWASP also recommends validating permissions on every request, regardless of where that request originates.[1] Apply that requirement to background jobs, retries and delegated substeps as well as the normal interactive path.
For the example, the sending component should obtain the caller's verified identity, look up the current policy and confirm the invoice, destination, message, approval and time window before contacting the mail service. The model must not be able to skip that component by reaching a general-purpose email client or scripting tool with broader credentials.
Keep trusted policy inputs separate from model-supplied claims. A proposed payload saying “approved: true” is not evidence of approval. An email saying “the owner authorizes this” is customer content until an authorized person changes the contract through the designated channel.
Authority boundaries for an AI workflow are only as strong as the available execution paths. If an integration cannot enforce the needed recipient or resource restriction, narrow the operation, add a controlled intermediary or keep the final step manual. Do not describe an unenforced instruction as a technical control.
Bind approval to the exact action and revalidate before execution
The reviewer should see what will happen: customer and invoice, destination including copies, subject and message body, attachments, relevant amount and currency, and the action's expiry. OWASP's transaction-authorization guidance says users must be able to identify and acknowledge significant transaction data.[2] Applying that principle to a business message is a design recommendation; it does not make the workflow a banking system.
Store approval against a stable representation of that complete action. One implementation can associate an immutable action record and its integrity fingerprint with the approver, policy version, approval time and expiry. A hash alone is not permission: the service must also authenticate the approver and protect the approval record from unauthorized changes.
If the model rewrites the message, swaps an attachment, adds a recipient or changes the amount after review, invalidate the approval and ask again. OWASP identifies resetting authorization after transaction-data changes as a protection against modification during authorization.[2] A general “looks good” in conversation should not float forward onto a different action.
Immediately before execution, recheck current conditions. Has the invoice been paid or disputed? Is the contact still valid? Does the reviewer still hold the required role? Is the workflow paused? Is the policy version still accepted? A valid earlier approval should not override a newly disqualifying fact.
OWASP recommends a final authorization gate tied to execution and unique authorization credentials for each operation to resist replay.[2] For this workflow, use a one-use action identifier and duplicate-send protection. A retry must not turn one approved reminder into several messages. Test the interval between authorization and the external side effect; a check performed much earlier is insufficient.
When defining authority boundaries for an AI workflow, record which facts are rechecked, where the check occurs and what happens if they change.
Specify revocation, queued work and uncertain outcomes
A stop button needs defined behavior. Give an authorized operator a way to prevent new execution, invalidate pending approvals and remove or quarantine queued sends. Document separately how to revoke credentials and how quickly each execution component observes a policy withdrawal.
Do not promise that revocation undoes an email already accepted by the mail provider. Define the point after which the system cannot cancel an action. For requests already in flight, record whether the receiving service accepted them, whether cancellation is supported and who must reconcile the result. “Stop requested” and “nothing happened” are different states.
Recheck policy when a queued job resumes. A saved job should not carry yesterday's authority past today's withdrawal. A delegated worker should receive no broader authority than the parent operation, and it should lose permission when that operation is revoked.
If a send times out, place the action in an unknown-outcome state. Query the authoritative delivery record using its action identifier where the provider supports that lookup. If the result cannot be established, let the accounts lead reconcile it before any resend. Automatically retrying an uncertain side effect risks a duplicate.
Authority boundaries for an AI workflow should cover recovery actions too. A failed reminder does not authorize exporting all customer records, switching to a personal mailbox or removing approval requirements.
Keep an audit trail a person can actually use
We recommend recording the workflow and action identifiers, verified caller, policy version, scoped resource references, decision and reason, approval reference, execution time, external result reference and reconciliation state. Preserve denied requests as well as successful ones, with enough detail to distinguish a policy refusal from a service outage.
Give the operator a clear question to answer: “Why was this message sent to this person at this time?” Link the approved action to the observed result. An entry that says only “agent completed task” cannot answer that question.
Limit the audit record itself. Full customer messages, account details and attachments may require restricted storage rather than repetition in general logs. Define who can read or alter evidence, how long it remains available and which sensitive fields are excluded. The record should support investigation without becoming another uncontrolled data export.
OWASP describes monitoring extension and downstream-system activity as a way to identify undesirable actions and respond, while distinguishing such damage-limiting measures from prevention.[3] Logs therefore complement enforcement; they do not authorize the original action.
The fallback owner should receive a usable exception: affected invoice, attempted step, reason, known outcome and permitted next action. Keep the normal manual process available. Set a queue limit or pause rule so unavailable reviewers do not produce an indefinitely growing backlog.
Test authority boundaries for an AI workflow with fixtures
Turn the authority boundaries for an AI workflow into concrete input-and-expected-result cases. A fixture is a small saved example: caller, proposed action, current invoice and contact facts, approval state, clock and expected decision. Test both legitimate requests and requests that differ by one disallowed detail.
Policy-testing tools can support this approach. Open Policy Agent documents tests in separate Rego files and shows policies evaluated against test cases.[4] You do not need that particular product to adopt the method, and a policy unit test is not a substitute for testing the actual connector.
- Exact approved reminder, eligible invoice, valid recipient and open window: allow one send and retain its result reference.
- Same request with a different business entity or a missing currency: deny before contacting the provider.
- Approved message with a new copy recipient or changed attachment: reject the old approval and request fresh review.
- Invoice paid after approval: stop execution and return the case for reconciliation.
- Expired approval, revoked reviewer or paused workflow: deny even if the job was previously queued.
- Duplicate action identifier or simultaneous workers: produce at most one intended send; reconcile any uncertainty.
- Policy service unavailable or required audit storage unavailable: hold consequential execution under the agreed failure policy.
- Customer text instructs the agent to change policy or use another tool: reject that authority claim and keep the original scope.
For each fixture, capture the decision, reason and whether an external call occurred. Run integration tests with safe test destinations to confirm that denied requests never reach the mail service. Include queue resumption, concurrent workers and a timeout after provider acceptance. These tests expose gaps that a polished happy-path demonstration misses.
Passing fixtures establishes evidence about the cases exercised, not proof that every failure has been eliminated. Repeat them after changes to policy, tools, identity mapping, approval screens or external-system behavior.
Finish with one signed, versioned operating decision
The final authority contract should identify its owner, version, effective date, review trigger and evidence for the controls tested. Keep business intent beside implementable rules. Resolve disagreements between the written contract and the running configuration before expanding production authority.
If you are still deciding whether a system should be connected at all, use the access decision checklist first. For the separate question of which consequences deserve review, read which AI actions require human approval. This contract describes how the chosen boundary becomes enforceable for one workflow.
Start with one action, one resource scope and one accountable owner. Write the authority boundaries for an AI workflow so an implementer can reject an out-of-scope request and an operator can explain the result. If either person cannot do that, keep the consequential step manual.
To discuss the boundary for a real workflow, contact Ordisyn with its trigger, connected systems, permitted actions and exceptions. Those details provide a useful starting point without assuming a fixed implementation or a promised outcome.
Sources
A practical next step
Start with the work, the authority, and the failure path.
Ordisyn begins with the operating problem and defines the smallest responsible implementation before access expands.