Agentic AI Implementation and Integration
We put available agentic AI platforms to work inside your existing environment — selecting the right platform, integrating it with your systems of record, and deploying it to production under controls you can audit. Platform-agnostic, data-sovereign and value-driven from day one — hosted in the EU or run fully inside your own perimeter — with humans in the loop where it matters.
What we deliver
Platform selection & fit assessment
We evaluate Bedrock, Azure OpenAI, Vertex AI, LangGraph, CrewAI and others against your use case, data and constraints — so you adopt the right platform, not the loudest one.
Reference architecture & environment design
A target architecture mapped to your stack, data residency and risk profile — including the sovereignty model (EU-hosted or fully self-hosted LLMs) — with integration, security and governance decided before build, not after.
Integration with your systems & data
We connect agents to your ERP, CRM, data platform, APIs and knowledge bases through governed, observable integration points.
Production deployment & LLMOps
CI/CD, infrastructure-as-code, evaluation gates, monitoring and cost controls that take the platform from pilot to dependable production.
Governance, security & team enablement
Guardrails, audit trails, human-in-the-loop and hands-on enablement so your team owns and runs the system after go-live.
Benefits & added value
Faster time-to-value
Adopt proven platforms instead of building from scratch: pilots in weeks, production in a quarter, value measured from the first release.
No vendor lock-in
Platform-agnostic by design. We integrate the best fit per workload and keep your architecture portable across models and clouds.
Lower delivery risk
Evaluation gates, guardrails and human-in-the-loop controls make agent behaviour measurable and auditable, not a black box.
Measurable ROI
Every engagement is scoped around outcomes and cost controls, so spend on frontier models stays tied to business value.
Data sovereignty, guaranteed
Keep data in the EU with EU providers, or run fully self-hosted open models inside your own perimeter. ISO 27001-aligned controls and GDPR by design, outside CLOUD-Act reach.
Your team stays in control
We hand back documented, observable systems with enablement, so your people operate and extend the agents themselves.
Our approach & the challenges we solve
We are a platform-agnostic integrator: we implement and deploy the agentic AI platforms already on the market, wired into the environment you already run. Our approach respects your architecture, integration points and processes, so agents deliver value without destabilising what works.
Data sovereignty by design. Sovereignty is a decision we make up front, not a compliance afterthought. We match the deployment model to your data-residency and risk requirements:
- EU region, EU providers — run on EU-based infrastructure and EU-headquartered providers, keeping data and inference inside the EU and outside CLOUD-Act reach.
- Fully local, self-hosted models — open-weight LLMs deployed entirely inside your ecosystem (your cloud tenancy, private datacenter or on-prem), so data never leaves your security perimeter.
- Hybrid perimeter control — sensitive data and retrieval stay within your boundary while non-sensitive workloads use managed models, governed by clear data-classification rules.
Every sovereign deployment is backed by ISO 27001-aligned controls, GDPR-native data contracts and end-to-end lineage. See how we prove it →
Where agents plug into your environment:
- Systems of record — ERP, CRM and billing, through governed APIs and events.
- Data & knowledge — data platforms, document stores and vector/RAG indexes.
- Identity & access — SSO, RBAC and least-privilege service credentials.
- Orchestration & runtime — your cloud, containers and workflow engines.
- Observability & evaluation — logging, tracing, evaluation gates and cost metering.
- Human-in-the-loop — approval and exception handling where risk demands it.
- Choosing the right platform amid fast-moving options and hype.
- Controlling frontier-model cost at production scale.
- Hallucination and reliability in autonomous workflows.
- Governance, auditability and regulatory compliance.
- Integrating with legacy systems without disruption.
Platform-agnostic implementation & integration
Data sovereignty: EU region or fully self-hosted
Multi-LLM orchestration
Human-in-the-loop governance
Production-grade LLMOps & observability
Rapid pilot-to-production