
Data & AI Services
Generative AI Services & AI Agent Development
STEM Global puts large language models to work on your own knowledge and processes: assistants that answer questions from your documents, agents that complete multi-step tasks across your systems, and copilots inside the tools your people already use, with guardrails and security designed in.
What's included
Generative AI & AI Agents, start to finish.
- 01
Generative AI strategy, use cases and proof of value
- 02
Retrieval-augmented generation (RAG) on your content
- 03
AI agents and copilots integrated with your systems
- 04
Guardrails, evaluation, security and cost control
What you get
- Faster access to knowledge buried in documents and systems
- AI agents that complete routine multi-step work
- Safe, governed generative AI with predictable costs
How we approach it
We pick a few high-value use cases, ground the model in your own documents and systems, and measure answer quality before anyone relies on it. Guardrails, permissions and logging are part of the design, costs are monitored, and solutions are built so you can switch models as the technology moves.
Who does the work: AI engineers and developers, with our security team for governance.
Why STEM Global
One partner for Generative AI, from plan to everyday running.
One partner, start to finishSTEM Global advises, implements and then runs what it builds. There's no handover gap between a consultancy, an integrator and a support vendor.
The people who do the workYour project is staffed by the developers, consultants and engineers who do the work, including CCIE- and CCNP-certified network engineers.
Built to be runEverything is documented, tested and handed over with runbooks, because STEM Global often runs it afterwards too.
How we deliver
From discovery to managed services.
- 01
Discover
STEM Global learns your goals, systems and constraints, and agrees scope, timeline and success measures.
- 02
Design
Architecture, configuration and migration plans, reviewed with your team before anything changes.
- 03
Implement
We build, configure, integrate, migrate and test, then cut over with a rollback plan ready.
- 04
Run
After go-live we support, monitor and improve it as your managed services provider.
FAQ
Generative AI questions, answered.
What is retrieval-augmented generation (RAG)?
RAG connects a large language model to your own documents and data. The model answers from your content instead of guessing. STEM Global uses it to build assistants that are accurate, current and respect your existing permissions.
What's the difference between an AI assistant and an AI agent?
An assistant answers questions; an agent also takes actions, completing multi-step tasks across your systems such as raising tickets, updating records or drafting documents. We build both, with a human approval step where it matters.
How do you keep generative AI safe and affordable?
We design in guardrails, access controls, logging and answer-quality checks, watch usage and costs, and pick the model that fits the task. Often that isn't the largest one.
Have a project coming up?
Schedule a Technical Strategy Call