Overview

What this service is.

AI Product Integration is strategic implementation of AI into real product workflows, not feature decoration.

We map where AI creates measurable value, select the right models, and integrate with monitoring and cost control.

The result is reliable AI functionality that can be operated and improved by your team.

What you get

Deliverables & outcomes.

01
AI Readiness Audit
Assessment of data quality, architecture, and viable AI opportunities.
02
Model Selection
Comparative model choice based on cost, latency, and quality.
03
Data Pipeline
Structured ingestion, retrieval, and context orchestration.
04
Feature Integration
AI features built into actual product flows.
05
Evaluation Layer
Monitoring for quality, hallucination, latency, and cost.
06
Compliance and Handover
GDPR-aware implementation with documentation.
How it works

The process.

01
Weeks 1-2
Audit and Use Cases
Define high-value AI opportunities and constraints.
Data auditUse-case mappingFeasibility
02
Weeks 2-4
Model Testing
Benchmark models against real data and tasks.
Model benchmarkCost modelingPOC
03
Weeks 4-10
Build and Integration
Integrate AI flows into your product stack.
Pipeline buildFeature integrationEvaluation setup
04
Weeks 10-12
Launch and Optimize
Roll out with monitoring and optimization plan.
RolloutMonitoringTeam handover
Questions

Frequently asked.

Do I need a large dataset first?+
Not always. Many use cases work with smaller structured datasets if the retrieval architecture is correct.
Which models do you work with?+
We evaluate multiple providers and select based on your constraints, not on vendor preference.
Do you work remotely across Europe?+
Yes. We are based in Portugal and collaborate remotely with founders and teams across Europe.
Do you provide documentation and handover?+
Yes. Every engagement includes structured documentation so your team can operate and extend what we build.
Proof of work

Built with this service.

Case study - Venture
MyCarbonAI
AI intelligence layer for emissions analysis, benchmarks, and recommendation workflows on structured business data.
AI integrationRAG architectureMonitoring
View case study →