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AI & Intelligence
Models placed where they earn their place: grounded, evaluated and observable.
01The capability
We integrate language and vision models into real products and processes, not demos. Every system is grounded in your own data, evaluated against your own cases before release, and monitored in production for quality, cost and safety.
02Services in this capability
Hover a service to see its form. Services with their own page open it; the rest are described here in full.
- 11AI Integration
Language and vision models integrated directly into existing products, workflows and business systems. Grounded in your data, evaluated against your cases, monitored in production.
Service page →Retrieval-augmented generation · Document understanding · Semantic search · Model evaluation - 12AI Automation
Workflows in which models classify, extract and decide, and people review the exceptions. Every automated decision is logged and explainable.
Service page →Ticket triage · Invoice processing · Content moderation · Human-in-the-loop review - 13AI Agents
Agents that plan, call tools and delegate work across your systems, inside explicit permissions. Bounded autonomy: scoped tools, budgets, audit trails and fallbacks.
Service page →Multi-agent orchestration · Tool & API calling · Internal copilots · Guardrails - 14Generative AI Solutions
Generation of text, images and code inside controlled, brand-safe pipelines. Prompts, retrieval and evaluations are versioned like any other code.
Described hereContent generation · Code assistants · Synthetic data · Fine-tuning
03Typical problems we solve
When this capability is the answer.
- P.01
Teams spend hours finding answers that already exist in your documents.
- P.02
Repetitive classification and data entry do not scale with headcount.
- P.03
AI pilots impressed in a demo but never reached production.
- P.04
Leadership wants AI capability without uncontrolled risk to data or reputation.
04Example solution types
What it usually becomes.
- S.01
Knowledge assistants
Retrieval over internal documents, with citations. - S.02
Document pipelines
Extraction and classification at volume. - S.03
Tool-using agents
Inside existing systems, with approvals. - S.04
Evaluation & monitoring
For models already in use.
05Approach
Four steps, one team throughout.
- 01
Select the use case
Value, data availability and risk.
- 02
Build an evaluation set
Real cases with expected outcomes.
- 03
Iterate the system
Retrieval, prompts, tools and guardrails.
- 04
Deploy with observability
Quality, latency, cost and feedback.
06Related technologies
Typical, not mandatory. Chosen per project, with your existing stack first.
BeginAI & Intelligence
Bring us the problem.
We will bring the system.
A first conversation maps the problem to the right services, in the right order. No obligation, no slideware.