How to choose an AI automation agency

Choose the agency that can describe the failure path before it describes the demo. Real systems meet duplicate records, missing consent, stale prices, angry customers, expired credentials, and platform changes.

A provider should be able to answer these twelve questions in writing. If the answers depend on another demo, the proposal is still unfinished.

We use the same questions on our own packages. A provider should be able to answer them without turning the call into another demo.

1. Which business result owns the project?

“Use AI” is not a result. Pick a measurable operation such as publishing approved articles, booking qualified calls, or working a consented dormant database. The agency should say which metric will move and which factors remain outside its control.

2. What is the smallest live scope?

Start with one channel and name the system that holds the real record. Give the handoff a clear owner. A broad first phase hides defects. The U.S. Small Business Administration recommends starting small and checking whether the tool adds value.

3. What data enters the system?

List customer details, messages, documents, and credentials. Ask where each item is stored, how long it is retained, who can access it, and whether it is used to train a shared model.

4. What is the source of truth?

The agency should name the record that decides status. For lead work, this is usually the CRM. For content, it may be the site repository and editorial calendar. Multiple conflicting systems create duplicate actions.

5. What can the AI never do?

A safe scope includes refusal and escalation rules. Binding quotes, legal advice, sensitive complaints, and exceptions often belong with a person.

6. How is it tested?

Request a test plan with normal, ambiguous, and hostile inputs. Ask what evidence is stored after each test and what must pass before launch.

NIST’s Generative AI Profile organizes this work around governance, mapping, measurement, and management. A vendor does not need to copy the framework, but it should cover the same responsibilities.

7. Who monitors production?

Models, APIs, permissions, and business rules change. Define alert ownership, response time, incident communication, and the review cadence for real outputs.

8. What does the price exclude?

Separate implementation, monthly service, software subscriptions, model usage, messaging, hosting, and optional work. Usage fees should not appear as a surprise after launch.

DATIK publishes package pricing and client-side running-cost guidance for this reason.

9. What do we own?

The answer should cover accounts, repository, prompts, configuration, documentation, data exports, and creative files. Ask whether another provider could operate the system from the handoff package.

10. How do we leave?

Read the cancellation and transition terms before discussing a multi-year roadmap. Identify export formats, credential transfer, shutdown steps, and support during handoff.

11. What evidence supports the claims?

Look for named cases, dates, methods, and limitations. Treat revenue screenshots and anonymous testimonials as weak evidence. Google also advises buyers to be wary of ranking guarantees and claims that a third-party service is approved by Google.

12. Who will tell us it is the wrong project?

A credible agency can name conditions that make its service a poor fit. Ask what it would fix first instead.

A practical scorecard

Score each provider from zero to two on scope clarity, data controls, testing, monitoring, ownership, pricing transparency, and exit readiness. Require a written answer for any zero. The highest demo quality should not overrule a weak ownership or data score.

DATIK’s own answer is documented on Who fixes it. Use that page as one comparison, not as the only standard.

Sources and review limits

• NIST Generative AI Risk Management Profile
• Google guidance on third-party SEO services
• U.S. SBA guidance on AI for small business (legacy page, checked 24 September 2026)

Sources were checked on 24 September 2026. The checklist is general procurement guidance. Security, privacy, and regulatory review should match the actual data and industry.