How to choose AI business services
for your team.

1. Write down the input, output, and reviewer

Replace “we need AI” with a concrete example: “We have an RFP and approved capability documents; we need a requirements matrix and draft responses; our bid manager approves the result.” Another team might have sales transcripts and need objection summaries for coaching. These requests are different even though both involve text.

Pick a task that repeats, has usable source material, and has an owner who can judge quality. If nobody can verify the result, a fluent answer is not enough evidence to automate the process.

2. Test with a source you can check

Prepare a short, redacted sample and keep a human-reviewed reference beside it. Run the same task with the same source when comparing tools. Check whether the result answers the actual question, preserves names and numbers, identifies missing evidence, and distinguishes source facts from suggestions. Record what needs correction.

A practical evaluation can use a small table with the requirement, the source passage, the assistant’s answer, and the reviewer’s decision. Do not enter private customer records into a public demo just to make the example realistic. Use the RFP evidence checklist or company knowledge library guide to prepare appropriate material.

3. Choose the right level of service

The proposal tool is $5, company knowledge and content repurposing are $20 each, and sales analysis is $30. The organization package includes all four business text workflows; it does not automatically include a bespoke CRM or document-sync project. Compare the current package details before paying.

4. Separate access limits from AI capacity

A request-per-minute limit describes how often an API gateway will accept requests. It is not a promise about model throughput, response time, or unlimited generation. InriGPT’s organization gateway permits up to 1,000 requests per minute, while AI work still follows shared model capacity and site daily budgets.

Ask what happens when a request is rejected, a provider is unavailable, or a daily budget is exhausted. Your application should handle those responses and explain them to users. Review the private API and widget documentation before planning a production connection.

5. Confirm data access and ownership

List the records a workflow may use, who can see them, how they are retained, and how you remove access. A Google account connection should not be mistaken for permission to read every company file. InriGPT’s current Workspace identity link confirms identity and domain; it does not automatically import Gmail or Drive.

For a document assistant, start with a small approved library and a named document owner. For an integration, grant only the permissions needed for the agreed task. Read the published data-handling policy and raise project-specific requirements before providing production material.

6. Ask what the handover includes

Before commissioning a custom integration, agree on the source system, expected output, deployment responsibility, review point, and acceptance examples. Confirm which third-party subscriptions and API charges are separate, and whether maintenance or support is included. Avoid treating a prototype as a fully supported business process without that agreement.

If your business operates in Albania, the Albania service page explains remote setup and what to put in an inquiry. To see the available starting points, open the AI business services catalog and try a sample before buying.