Buyer sequence · reviewed July 24, 2026
Choose outside AI help with an evidence file, not a confidence contest.
Define the problem, ask for relevant evidence, limit access, buy the next useful stage, set acceptance, and protect the final handoff.
1. Brief the work before the solution
Describe one recurring workflow, the current consequence, the human owner, and the protected edges without prescribing a product.
2. Match evidence to the real engagement
Ask what the candidate personally did, what changed, what failed, and which evidence supports the claims that influence your decision.
3. Expand scope and access by stage
Buy the next decision, use the minimum approved access, and set a review gate before adding people, records, systems, integrations, or recurring fees.
4. Accept and hand off with visible ownership
Test realistic cases, record the acceptance decision, inventory every asset and dependency, remove external access, and keep a practical stop path.
Evidence chain
Six definitions for a buyer file that survives the sales conversation.
Problem brief
A useful problem brief describes one recurring workflow, its owner, trigger, source information, friction, review, official destination, and protected boundaries without prescribing a product or exposing sensitive records.
Evidence fileEvidence match
Ask for evidence that matches the workflow, risk, team, integration pattern, and role under discussion, then separate what the person actually did from product capability, client action, marketing claims, and results that cannot be verified.
Evidence fileAccess boundary
An access boundary states which accounts, environments, information categories, actions, and time periods are approved; who grants and reviews access; and how access is limited, logged, changed, and removed.
Evidence fileAcceptance evidence
Acceptance evidence is the agreed set of realistic test cases, expected results, review findings, boundary checks, failures, owner decisions, and stop conditions used to decide whether work is accepted, revised, narrowed, or rejected.
Evidence fileEngagement stage
Stage the engagement around the next useful decision: advisory for framing choices, discovery for mapping and requirements, implementation for an approved build, training for a defined practice, and support for work the business has accepted.
Evidence fileHandoff ownership
The business should know who owns and can access every account, source file, configuration, prompt, automation, test case, record, document, vendor relationship, recurring cost, support obligation, known risk, and stop path created or changed by the engagement.
Complete buyer path
Continue through the full briefing, evaluation, and handoff sequence.
Guide 1: When to hire an AI professional
Separate a learning question, a software-support question, and a real consulting engagement before you spend.
Guide 2: Write a useful AI project brief
Give candidates enough operating context to think clearly without disclosing private information too early.
Guide 3: Evaluate experience without relying on hype
Look for relevant reasoning, transparent limits, and evidence you can verify.
Guide 4: Compare advisory, discovery, build, and support engagements
Choose a commercial shape that matches what is known today and who must own the result tomorrow.
Guide 5: Interview an AI consultant or implementer
Use consistent questions to compare how candidates discover, build, test, communicate, and hand off work.
Guide 6: Set acceptance criteria for an AI project
Decide how the business will recognize a useful, bounded result before a demonstration becomes a deployment.
Guide 7: Prepare for handoff and ongoing support
Make the business capable of operating, reviewing, changing, and stopping the delivered work.