Do you use OpenAI or other hosted APIs?

When the workload allows it and the customer approves. For regulated environments or where data confidentiality is required, we deploy local inference only. The choice is driven by your requirements, not our preference.

How do you evaluate whether a RAG system is working?

We build an evaluation set of questions with known correct answers before deployment. We measure retrieval precision, retrieval recall, and answer correctness against that set, and we report those numbers at close.

What happens when the AI system gets something wrong?

Every system we deploy has a feedback mechanism and an audit log. Wrong outputs are captured, the retrieval and inference steps are logged, and the root cause (retrieval failure vs. model failure) can be diagnosed after the fact.

Can you integrate with our existing tools?

Yes. We build integrations against APIs, databases, Slack, email, and most enterprise SaaS platforms. The AI system fits into your existing workflow -- we do not require you to change how your team works.

+1 (201) 771-1665 Sales Support 24/7 Engagements active in 5 regions

US-EN Client portal Sign in

Services

Ai Integration.

Production-grade retrieval-augmented generation, agent orchestration, and on-prem inference wired into your existing stack. Not a proof-of-concept -- a running system your team can operate after we leave.

Production-grade retrieval-augmented generation, agent orchestration, and on-premise inference wired into your existing stack. Every system we build is documented, monitored, and handed off to your team to operate without us.

What we build and deploy

RAG pipelines: chunking strategy, embedding model selection, vector store setup, retrieval endpoint
Agent systems: tool-calling agents with memory, human-in-the-loop checkpoints, and audit logging
Local LLM inference: Ollama, vLLM, and llama.cpp on your hardware or dedicated servers
Evaluation frameworks: automated testing of retrieval quality and response accuracy
Monitoring dashboards: latency, cost per query, retrieval precision, and hallucination rate tracking

We do not build proofs of concept. Every engagement delivers a system running in production with monitoring, documentation, and a handoff session before we close.

You end with an AI system running in production, monitored and documented, that your team operates without us.

Why teams choose Cobham for AI integration

We do not build proofs of concept. Every engagement ships a running production system with monitoring and a handoff session.
Your data stays yours. Systems run on your infrastructure or cloud account, never routed through third-party orchestration without approval.
Built for the 2am call. Audit logging and documented failure modes on every system, not conference-stage demos.

How we engage

Principal-led. Fixed-scope.

Every Ai Integration engagement is scoped before the contract is signed. Two principals. No subcontractors. No account managers between you and the work.

Discovery call

30 minutes. We map your current state, identify the constraints, and tell you what we would do first. No obligation and no invoice.

Scoped brief

A written brief defining deliverables, duration, and a fixed price. If we cannot define the output, we do not take the engagement.

Execution & handoff

Principal-delivered work with a documented handoff. Runbooks, IaC, and access handed to your team at close. You own everything.

Common questions

Frequently asked.

Do you use OpenAI or other hosted APIs?: When the workload allows it and the customer approves. For regulated environments or where data confidentiality is required, we deploy local inference only. The choice is driven by your requirements, not our preference.
How do you evaluate whether a RAG system is working?: We build an evaluation set of questions with known correct answers before deployment. We measure retrieval precision, retrieval recall, and answer correctness against that set, and we report those numbers at close.
What happens when the AI system gets something wrong?: Every system we deploy has a feedback mechanism and an audit log. Wrong outputs are captured, the retrieval and inference steps are logged, and the root cause (retrieval failure vs. model failure) can be diagnosed after the fact.
Can you integrate with our existing tools?: Yes. We build integrations against APIs, databases, Slack, email, and most enterprise SaaS platforms. The AI system fits into your existing workflow -- we do not require you to change how your team works.

Related services

Other categories we operate.

Cloud

← All services

Ai Integration

Talk to a principal.

Schedule a 30-minute call. We map your current state, identify the highest-leverage next step, and give you a written scope before you sign anything.

Schedule a call →

Direct to a principal · Response under four hours