AI Training
Practical training, guided labs and coaching for the people who plan, build, test and operate your software.
Explore AI TrainingMake your engineering team AI-native with the people you already have.
Build the capability. Change the way work gets done.
Practical AI training, connected delivery workflows and custom agents for established products and teams. We start with your current tools, systems and priorities.
1,000+people impacted
20+products supported
100+repositories impacted
Bring AI into the business you already run.
Your teams have different levels of AI experience. Your products have existing customers, integrations and release commitments. We use that context to choose where training, workflow changes or an agent can help first.
Start with one part of the work. Give your people a method they can use again.
Three ways to move forward.
Build your team’s skills, connect the delivery process or automate a defined task. Each can start as a focused engagement.
AI Transformation
Bring AI into planning, development, QA and operations, with connected workflows and review practices that fit your existing systems.
Explore AI TransformationCustom Agents
Turn a well-defined business task into an agent that can use the right context, work with your tools and hand decisions to the right person.
Explore Custom AgentsWhat changes for your team.
People who can use AI well
Build practical capability across the roles that plan, build and run your software.
Less work between stages
Keep specs, implementation and test evidence linked so the next team can pick up the work with context.
Agents with a clear job
Put AI to work on defined tasks, with useful context and human decisions in the right places.
Progress you can inspect
Review practical skills, workflow adoption and repository readiness, then decide what needs attention next.
How an engagement runs.
Start with the work as it is today. Build a focused change. Give your people the means to keep it moving.
Map the gaps
Review a representative task, the systems it passes through and the people making decisions. Agree the starting evidence.
Prove the workflow
Work with one team to practise the agreed steps, inspect the handoffs and adjust what does not fit.
Prepare the next team
Document the working method, prepare internal champions and decide what is ready to repeat elsewhere.
Experience across complex businesses.
Training and transformation across Asia, Europe, the United Kingdom and the Middle East.
| Domain | Experience | Focus |
|---|---|---|
| Data centers | AI training and transformation across infrastructure and operations. | People & practice |
| SAP | Practical capability building for enterprise platform teams. | People & practice |
| Supply chain & logistics | Training and transformation across connected operational systems. | People & practice |
| International trade | Experience with teams supporting cross-border business workflows. | People & practice |
| Distribution management | Capability and delivery practices across distribution products. | People & practice |
| Financial services | AI training and engineering transformation across financial platforms. | People & practice |
A few things worth knowing.
Where do we start?
With one team, one workflow or one clear task. Discovery helps us decide which service fits and what the first engagement should cover.
What stays with our team?
The practices, context and materials developed for the engagement, with ownership agreed before work begins.
Control stays with you.
- Work inside approved repositories and environments.
- Use the AI tools your organization permits.
- Keep human approval at consequential decisions.
- Make ownership and access explicit.
INSIGHTS
Before your next AI decision.
Practical guides to preparing your codebase, choosing what to measure and keeping people in control of automated work.
AI Activity Is Not AI Impact
Why licenses, prompts and generated code do not become business value until decisions, workflows, controls and measurement change around them.
AI TransformationExplore AI Activity Is Not AI ImpactHow to Make an Established Codebase Ready for AI
A practical approach to repository context, reviewable plans and living engineering memory without trying to document an entire system first.
AI TrainingExplore How to Make an Established Codebase Ready for AIAutomate the Handoff, Keep the Decision Human
How to connect work tracking, code, QA, releases and support without hiding ownership or automating judgment.
Custom AgentsExplore Automate the Handoff, Keep the Decision HumanMeet the people shaping the work.
Yogi
Principal, AI transformation
Mahesh
Principal engineer
Rajesh
Principal, programme
See what this looks like on your codebase and your workflows.
Bring a real workflow, a capability gap or an idea for an agent. Let’s find the right place to start.
Talk to us