Finding the best AI agency for 2027: 10 practical checks

Compare AI agencies for 2027 against one specific workflow and a written scope. Ask every provider for the same information: data sources, connections to your systems, test cases, human approvals, ongoing costs and handover. This exposes differences that a presentation about model names can obscure.

Updated 28 October 2026 for your 2027 planning. We run EVORI, an AI agency. These are our selection criteria, not an independent league table or an award for “best AI agency 2027”. Apply the questions to our proposal too.

Define the assignment before comparing agencies

Describe one process on a page. “Prepare reviewable quotation drafts from a shared inbox” gives providers a clearer basis than “introduce AI in sales”.

Use our AI pilot checklist to narrow the scope. The 2027 AI budget guide covers cost and capacity planning.

Ten questions to ask an AI agency

1. What workflow will you deliver?

Ask for the input, processing steps and result. Record included and excluded cases. A prototype, an integration and a supported production service have different scopes.

2. What baseline will we compare the test against?

Record handling time, follow-up questions and corrections before starting. Assign someone to check those figures. Ask the provider to use the same measures during testing.

3. Which data and systems will you access?

Request named model providers, storage locations, access permissions, logs and backups. Agree with your IT and privacy contacts which test data you can release and which agreements you need. A location name alone does not settle those questions.

4. Where does our team make the decision?

Show a case with a missing field, such as a delivery date. Ask the agency to demonstrate how it flags the issue, who supplies the value and how your team approves dispatch. Our quotation example illustrates this with fictional data.

5. Who builds and tests the connections?

Name your existing systems, versions and known restrictions. Clarify who obtains access and authorises writes. Ask how your team continues after a connection fails.

6. Which cases must pass acceptance testing?

Agree typical cases and exceptions: an unknown article, duplicate input, missing attachment or restricted document. Define the expected result before testing. A test count alone says little about its coverage.

7. What will the project and ongoing service cost?

Separate implementation, model usage, hosting, licences and support. Ask about assumed volumes and document sizes, and how changes or extra usage are billed. Our AI cost guide explains common cost categories.

8. Which rights and materials will we receive?

Clarify source code, configuration, prompts, documentation and exports. Discuss third-party licences and whether your team or another supplier can take over. Record the agreed rights in the contract.

9. Who handles faults and changes after launch?

Assign people on both sides. Agree fault reporting, testing of model and interface updates, and recovery to a previous version. Include the people who handle the workflow in training.

10. What result determines the next step?

Before the pilot, define when you continue, revise or stop. Consider handling time, corrections and operating costs. A small test may show that the proposed automation does not pay off under your conditions.

An evidence rubric for comparable proposals

Score each answer 0 = open, 1 = described, 2 = supported by an example or document. This is EVORI's working rubric, not market research. A total score does not replace professional assessment: unclear access rights or approvals still need resolution.

Download the evaluation sheet. Send the same workflow description and sheet to each provider.

Where EVORI fits

EVORI offers process assessment, implementation of scoped AI applications, training and operations. Our service pages describe each scope. A project decision requires your starting position, access and requirements; this general guide cannot establish fit for your particular case.

Bring an anonymised request and a short description of your current workflow to an initial conversation. We can use them to discuss a possible first step and the open questions.