PILLAR 4 · AI IN PRODUCTION
AI that does the work. In production.
Everyone has an AI mandate. Almost nobody has AI in production. We build agents that take action inside your business, with guardrails, measured against a business result, and we run them for you.
An agent at work (example run)
1Detect
2Diagnose
3Act
4Verify
- 02:14Payments service slows down. The agent picks up the alert before anyone is paged.
- 02:15It traces the cause to a full disk left by last night's batch job.
- 02:16It runs the approved fix: clears the cache and adds two servers to the pool.
- 02:19Speed is back to normal. The ticket is closed and the on-call engineer gets a summary.
Status: ResolvedEvery action is logged and reversible
7
use cases, ready to run
Governed
guardrails and audit built in
Private
on AWS or in your data centre
Funded
AWS programmes often cover the proof
SEVEN USE CASES, WORKING
Watch AI do the work. Pick any use case.
Each one runs the way it does for our clients: what goes in, what the AI does, where a person stays in control, and what changes.
Illustrative runs. Every use case is built on Amazon Bedrock AgentCore, or privately on Red Hat OpenShift AI when data must stay on-premise.
HOW WE GET AI LIVE
From pilot to production, with gates.
Most AI stalls between the demo and the real world. We use managed AWS building blocks so you ship on a governed platform instead of assembling infrastructure by hand.
AMAZON BEDROCK AND AGENTCORE
A governed home for production AI
Leading models, guardrails and agent runtime managed by AWS, so your effort goes into the use case. Pay for what you use.
DATA FIRST
Every build includes data readiness
AI fails on unready data. We check and fix the data a use case depends on before anything reaches customers.
FUNDED WHERE POSSIBLE
AWS can help pay for the proof
AWS proof-of-concept funding and credits can cover part of the first build. We check eligibility up front.
Need AI to stay on-premise? Private AI runs in your own data centre with Red Hat OpenShift AI and Red Hat AI. See private AI on Platforms →
SELF-HEALING IT OPERATIONS
Turn AI that chats into AI that acts.
Your team’s existing automation becomes a set of tools an AI agent can use. The agent detects, diagnoses and fixes common incidents, while people approve anything sensitive.
- Shorter time to resolve incidents
- Less repetitive work for your operations team
- Runs on Amazon Bedrock, or privately on Red Hat in your data centre
AGENTIC AI FOUNDATION SPRINT
A production-grade home for your AI, fast
A focused sprint that sets up a governed AI foundation on Amazon Bedrock AgentCore, so pilots become systems your board can approve.
GO DEEPER
Seven places AI pays back first
How many people are retyping documents right now?
How long does a request sit before anyone starts fixing it?
What reaches customers because nobody had time to check it?
How often is the answer written down, just impossible to find?
How many decisions are waiting on a report right now?
What is running quietly that you will only find at month end?
Which system earns serious money, runs slow, and nobody dares touch?
NEXT STEP
Is your AI ready for production?
Answer a few questions and see the gap between where you are and live, governed AI, with the next step to close it.