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AI and automation

OPENAI API integrated into actual processes, not just in a demo

We use OpenAI API for time-saving automation: summaries, classifications, assisted responses, document processing and search in knowledge bases.

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Match

When using OPENAI API

The technology is chosen after we understand the objective, the rhythm of the team, the level of administration and how much the project needs to increase.

  • Document processingWe extract and check the useful fields in the documents before sending them into the workflow.
  • AI assistantsWe define what questions can be asked, what sources they use, and when a person has to intervene.
  • Internal supportThe team may find procedures, responses and information necessary for the current activity in an accessible place.
  • Sales automationWe link requests, qualifications and follow-up to opportunities for controlled actions and notifications.

Uses

What can we build with OpenAI API

We only use technology where it helps the project to be faster, easier to manage or safer to expand.

01RAGAI02Classification of applicationsAI03Drafts generationAI04WithdrawalAI

Deliverables

What goes into implementation

Accurate delivery depends on the project, but we keep every documented, tested and prepared implementation for maintenance.

  • AI Flow Audit
  • Prompts and rules
  • API integration
  • Validation and logs
  • Cost monitoring

Connected services

OPENAI API usually appears in these projects

Choose the service that best describes your need, then determine if this technology is the right choice.

AI Automation

AI Automation

AI agents, document processing and automation connected to real processes, with rules, logbooks and human verification.

See serviceCustom software

Software solutions

Applications, dashboards and integrations that gather important processes into a more manageable system.

See service

Recommended pages

Services, technologies and guides related to this technology and its use in projects.

Frequently Asked Questions

Before you choose technology

Uses, integration and costs for OpenAI API.

01 / Match

When that choice makes sense

What projects do you consider OpenAI API for?

Suitable situations: Document processing; AI assistants; Internal support; Sales automation. The choice shall be confirmed after analysis of existing requirements, team and solutions.

What uses do you propose for OpenAI API?

Relevant examples are: RAG; Classification of applications; Generating dredges; Extract data. We determine what serves your objective and what would add complexity without a clear benefit.

02 / Implementation

Integration and deliverables

Can the solution be integrated into an existing project?

We define approved sources, access to data and permitted actions. We start with a limited flow, with human verification for important results or operations.

What could include implementation?

For OpenAI API, we can define in the offer: AI Flow Audit; Prompts and Rules; API Integration; Validation and Logs; Cost Monitoring. We confirm the deliverables after verification of compatibility and available access.

03 / Operation

Verification and costs

How do you check that implementation works?

We assess the results on representative examples and difficult cases. We check correctness, permissions, errors and cost; where answers are generated, we also assess loyalty to sources.

What costs should be foreseen in the long term?

We design data preparation, integration, subscriptions or use of APIs and monitoring. The estimate shall be based on a test volume and shall include agreed consumption limits.