How to choose an AI implementation agency

Choosing an AI implementation agency is a delivery decision. The model name matters less than the supplier's ability to understand one process, connect the required systems, test the result and support it after release.

Give every candidate the same short brief: the case that starts the work, the systems involved, the decisions a person currently makes, the unacceptable outcomes and the owner who will accept the result. Their questions will show whether they understand the work.

Verify what the supplier actually builds

Ask for a clear answer to these questions:

• Which parts are built by your team and which are licensed from another provider?
• Who writes the integrations, tests and deployment configuration?
• Who owns the source code, infrastructure configuration and process documentation?
• Can another competent team run and maintain the system?

A supplier may use a platform, framework or model and still deliver a custom process. The important fact is whether your scope, access policy and acceptance tests are represented in code and documentation that your company can operate.

Request a small technical walkthrough of a comparable process. Look for the input, source record, permitted action, hold condition, log and owner. A slide describing capabilities cannot answer those operational questions.

Ask for an owned delivery plan

The first scope should state:

1. the case type and expected volume;
2. systems and data needed for the first slice;
3. fields the system may read and change;
4. approval roles and cases routed to review;
5. acceptance set, quality measures and error handling;
6. deployment, rollback and support responsibilities;
7. assumptions, exclusions and change process.

The delivery team should name its technical owner and the person accountable for the business result. Meet the people who will make the key decisions. A polished sales conversation cannot substitute for a plan showing who tests and troubleshoots the system.

Check data, permissions and contract terms

Ask where prompts, files, logs and model outputs are processed and retained. Request the provider list, data-processing terms, security controls, deletion path and transfer mechanism relevant to the route you will buy.

Map each integration credential to an operation. Read-only access should remain read-only. Writes and outbound messages should have an approval rule, an audit record and a manual recovery path. The contract should identify who handles an incident and how quickly the company receives information.

Do not treat an EU hosting label as a complete answer. The process still needs a controller and processor record, access policy, retention, deletion, least privilege and a clear purpose for each data field. Your counsel and security owner should review the final configuration.

Test the first scope on representative cases

Before a production decision, prepare cases that include routine work, missing data, duplicate records, conflicting sources, unusual formats and a failed integration. Define the expected result, allowed action and hold reason for each.

Run the same set through the proposed implementation and inspect:

• correct completions and correct holds;
• source references for material fields;
• review time and correction effort;
• actions attempted outside the policy;
• logs available after a failure;
• cost of a complete case, including human work.

Ask what happens when a model is unavailable, a credential expires or an upstream schema changes. A reliable partner will include those paths in the first operating plan.

Compare price, support and exit

Separate the quote into specification, build, integrations, evaluation, model and hosting usage, monitoring, support and future changes. Syntalith lists automations from €3,500 net and apps or agents from €6,000 net. Those are starting points for our offer; market averages require separate evidence.

Support should name monitoring, response times, maintenance tasks, release ownership and the process for approving changes. Ask how a new model version or an external API change is tested before reaching production.

An exit clause should cover source code, infrastructure configuration, documentation, credentials, data export, handover sessions and assistance during transition. A clean exit protects both sides and gives the company a realistic ownership plan.

Use a supplier scorecard

Score each supplier from the same brief and record assumptions beside every score. A cheap quote with missing monitoring or review work is not comparable with a complete production scope.

Questions for the final meeting

1. What would you remove from the first release to reduce risk?
2. Which cases would you keep with a person?
3. What is the smallest acceptance set that can block release?
4. Who can see the data and who can approve an action?
5. What will the owner inspect on a normal operating day?
6. What happens during an outage or integration change?
7. What exactly does the company receive if the engagement ends?

Bring the process and this scorecard to a free process scan. Syntalith can help turn the first case into a written scope, and the questions remain useful when you compare other implementation partners.