Engagement phases: implementoperate
AI Automation & Agents
Document processing, workflow automation and AI assistants.
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Engagement phases: adviseimplementoperate
AI Systems Integration
We connect large language models and AI agents to your core systems and data, so AI can act on trusted information inside real workflows. That covers retrieval over your documents, governed access to data, agent orchestration and sovereign or on-premises deployment, with security and evaluation built in from the start.
- Typical timeline
- 8–12 weeks pilot to production
- Best for
- CIOs, CTOs and digital transformation leads
Outcomes
What changes for you
- AI that works with your systems, not beside them
- Governed, permission-aware access to data for AI
- A path from isolated pilots to an organisation-wide capability
Deliverables
What you receive
- Integration architecture and security review
- Retrieval and knowledge pipelines over your content
- Agent workflows connected to business systems
- Evaluation, guardrails and monitoring
- Deployment in your cloud, on-premises or hybrid
Fixed-scope package · 8–12 weeks
AI Pilot to Production
One high-value AI use case, evaluated and deployed with monitoring.
FAQ
Common questions
Which AI models do you use?
We are model-agnostic and select commercial or open-weight models based on quality, cost, language support and where your data is allowed to go.
Often combined with
Engagement phases: adviseimplementoperate
Data Platforms & Architecture
Warehouses, lakehouses, pipelines and integration, done properly.
Learn moreTalk to us about AI Systems Integration.
Tell us what you are trying to achieve. We will tell you honestly whether we are the right partner, and what a sensible first step looks like.