One named workflow with a trigger, output, owner, systems, and explicit exclusions.
Buyer guide · evidence before commitment
Hire an AI automation consultant for evidence, not a demo.
A credible proposal should define one workflow, the authority it preserves, the exceptions it stops on, the evidence that proves it works, and who owns failure after launch. Use these questions before you share sensitive data, approve access, or pay for implementation.
Tests must prove the business outcome, not merely that an automation executed.
Authorized people retain price, scope, contracts, safety, sensitive replies, and payments.
Twelve questions to ask before you sign.
Ask every shortlisted provider the same questions. Strong answers are specific enough to place in the written scope; weak answers depend on future discovery while still promising a result.
What exact workflow are you changing?
Name the trigger, finish, owner, output, and what remains outside scope.
What operating baseline will you verify?
Identify the current volume, delay, rework, response, or quality evidence without inventing savings.
Which systems are sources of truth?
List required inputs, system owners, access method, permitted use, and retention boundary.
What happens when information is missing?
Require explicit pause, review, fallback, or rejection behavior rather than confident guessing.
Which exceptions stop automation?
Cover replies, opt-outs, disputes, policy conflicts, identity uncertainty, expired facts, and unsafe requests.
Which decisions stay with people?
Name the authorized approver for consequential actions and the escalation path when authority is unclear.
How will correctness be accepted?
Define realistic test cases, expected outputs, unacceptable outputs, reviewer, and sign-off evidence.
How are security and privacy bounded?
Ask about least privilege, credentials, logs, data location, vendors, deletion, incident handling, and access removal.
How does the workflow fail safely?
Require monitoring, alerts, retry rules, deduplication, rollback, manual continuity, and a recovery owner.
What changes after a vendor update?
Clarify responsibility for API, model, platform, policy, data, and process changes after launch.
What will we own at handoff?
Specify code, configuration, accounts, documentation, runbooks, tests, exportability, and access inventory.
What is the complete commercial boundary?
Separate discovery, build, software, usage, support, maintenance, change requests, taxes, and cancellation terms.
Read the proposal like an operator.
A polished deck is not delivery evidence. Compare each proposal against the same written boundary.
| Proposal area | Useful evidence | Reason to pause |
|---|---|---|
| Outcome | One observable business result, baseline method, acceptance owner, and test evidence. | Claims about transformation, autonomy, savings, or revenue without a measured baseline. |
| Scope | Named trigger, inputs, systems, decisions, outputs, exclusions, and change process. | "Automate the business" or a feature list without an operating workflow. |
| Authority | Consequential actions require named human approval and an explicit stop path. | The system may send, buy, delete, price, contract, or decide without bounded authority. |
| Reliability | Exceptions, idempotency, monitoring, fallback, rollback, recovery, and support ownership. | Only a happy-path demonstration or a promise that the model will improve. |
| Security | Least privilege, secret storage, data minimization, retention, deletion, and access removal. | Shared passwords, disabled safeguards, unrestricted access, or unclear subprocessors. |
| Commercials | Fixed deliverables or controlled milestones plus separate third-party and ongoing costs. | Open-ended billing, bundled unknowns, or outcome guarantees disconnected from implementation facts. |
| Handoff | Documentation, tests, runbook, configuration inventory, ownership, and exit procedure. | Critical logic or accounts remain inaccessible to the buyer after payment. |
Copyable scope brief
Give every provider the same ten facts.
- Workflow name and accountable owner
- Trigger and accepted final output
- Current steps and human handoffs
- Systems and authorized sources of truth
- Known exceptions and mandatory stop signals
- Human decisions that may not be delegated
- Sanitized baseline evidence and desired change
- Security, privacy, legal, and contractual constraints
- Required acceptance tests, rollback, and handoff
- Budget boundary, timeline, exclusions, and change terms
Safe sharing rule: use sanitized examples during evaluation. Do not place passwords, private keys, payment data, regulated records, confidential client material, or live production access in a public form or preliminary scope brief.
Choose the smallest responsible purchase.
Skip ARIIA when your scope is already build-ready.
- The workflow has one accepted owner and current version.
- Inputs, permissions, exceptions, approvals, and acceptance tests are documented.
- You can compare implementation providers against the same written scope.
- You have a recovery owner and a commercial boundary.
In that case, request an implementation proposal directly. Another audit may add little value.
Use ARIIA when the scope is the missing evidence.
- One workflow diagnostic
- As-is handoff map
- One priority system blueprint
- Practical 30-day action plan
- A recommendation that may be "do not automate yet"
The deliverable is portable. You may use another provider for implementation. No build, software, advertising, or outcome guarantee is included.
Hiring questions.
What should an AI automation consultant deliver?
The deliverables depend on the engagement, but the written scope should identify the workflow boundary, system design, authority, exceptions, tests, deployment, monitoring, recovery, documentation, ownership, support, and exclusions. Discovery and implementation should not be blurred into an undefined promise.
How do I compare AI automation proposals?
Give every provider the same sanitized workflow brief and compare the resulting scope, evidence, controls, acceptance tests, ownership, ongoing costs, and change terms. Price alone does not reveal whether two proposals include the same work.
Should a consultant promise ROI or revenue?
Treat guarantees cautiously. A provider can define assumptions, baseline methods, operating measures, and acceptance evidence, but revenue and savings depend on implementation, adoption, data, market conditions, and decisions outside the provider's control.
Should an AI agent receive full access to every business system?
No. Access should be limited to the minimum systems, records, and actions required by the approved workflow. Consequential actions need explicit authority, and credentials should remain in appropriate secret stores with removal and recovery procedures.
When should I buy an audit before implementation?
Buy a bounded audit when the workflow matters but ownership, inputs, exceptions, permissions, acceptance evidence, or the safest design are still uncertain. Repair the process first when no one accepts ownership or an authorization boundary does not exist.
Does ARIIA require me to use ARIIA for the build?
No. The USD $497 audit covers one workflow diagnostic, map, blueprint, and 30-day plan. The deliverable is portable, and implementation is a separate decision. A fit request creates no purchase, invoice, subscription, payment request, or marketing opt-in.
Make the scope portable before the build becomes expensive to change.
Score one workflow privately, inspect the illustrative deliverable, or prepare a consented fit request. If your scope is already complete, take this checklist to the implementation provider you prefer.
Open the two-page consultant briefScore one workflow freeInspect the illustrative samplePrepare a private fit requestReview exact USD $497 scopeCompare audit vs buildVancouver service scope
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