Automation AI / AI engineering services
AI engineering
AI integrated as part of the system: data, prompts, validations, costs, logs and monitoring.
Background
When this service makes sense
We design and implement AI functionalities that enter into products, applications and operational flows.
- Main needAI engineering services
- Role in the projectAI agents, document processing and automation connected to real processes, with rules, logbooks and human verification.
- Result pursuedAI integrated as part of the system: data, prompts, validations, costs, logs and monitoring.
Deliverables
What usually comes into the project
The exact list is adjusted after the audit, but these modules frequently appear in engineering projects.
01Usage case design
02AI Architecture
03Model integration
04Response evaluation
05Monitoring
Connection
Service works better when it's connected to the rest of the project
Any service works better when connected to the rest of the ecosystem: content, SEO, data, operation, hosting and maintenance.
- AI agents
- Document processing
- Sales automation
- Integration with AI platforms
Recommended pages
Pages related to this type of service: technologies, fields of activity, guides and complementary services.
Frequently Asked Questions
Before we begin the project
Choice, stages and support for AI engineering.
01 / Choice
What's useful to know
Ai engineering means only prompts?
No. Includes data preparation, integration, evaluation of results, costs, security and user experience.
What information are we preparing for the first discussion?
Examples of requests or documents, process steps and approved sources. We clarify what data can be used, who validates the result and what actions require approval.
02 / Planning
Purpose, budget and stages
What can the project include?
For AI engineering, starting points are: Case Design Usage; AI Architecture; Model Integration; Response Assessment; Monitoring. In the offer we specify deliverables, limits and responsibilities; the list adapts to your situation.
How do we set the budget and the timetable?
We separate data preparation and integration from the cost of use. The volume, models, external services and the level of human verification influence the estimation; we start with a limited and measurable flow.
03 / Continuity
Verification and support
How do you verify the result before handover?
We use representative examples, including difficult cases, and compare results with validated answers or rules. We track errors, costs and required interventions: a fluent response is not proof of accuracy.
What happens after handover?
Updates of sources, adjustments of rules and reassessments of results may be required after launch. We set cost monitoring, usage limits and escalation to a person for sensitive situations.