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Talent, Enablement & AdvisoryAI Training & Capability Enablement

We help your team learn AI by applying it to their own work

A training session can be good and still change nothing, because people go back to a way of working that hasn't changed. We train engineers on their own codebase, leaders on the decisions in front of them, and finance, operations and other teams on their real workflows, and we leave you able to keep it going yourselves.

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Or see the AI Practitioner Programme · 4–6 weeks · $15K–$40K

Teams We've Built For

  • Valcre

Where You Start Depends on Where You Are

Most teams come to us at one of five points, from nobody being trained to training that faded after the trainers left. What you need is different at each one.

  • Nobody has been trained, and people are using AI on the side

    Some of your team may already use it in their own way, there may be no shared rules, and nobody may know what’s allowed or how to check what comes out. Our AI Practitioner Programme gives teams a common starting point, with sessions built on their own weekly work.

  • You’ve bought licenses and few people use them

    The tool may not have been set up, nobody may have had time to learn it, and nobody may be sure what’s allowed. Our Agent Engineering Bootcamp gives your engineers two to three hands-on days on their own codebase, and our AI Practitioner Programme does the same for other teams, using examples from their own week.

  • One team is good at it and the others aren’t

    One team may have a manager who makes room and a colleague who shows the way while the others have neither, and training that only reaches the people in the room may not travel. Our Curriculum Licence & Train-the-Trainer programme trains a champion in each team and licenses the materials, so your own trainers can run it again.

  • Your leaders can’t judge the AI proposals in front of them

    Budget requests and vendor pitches may arrive with nobody in the room able to say which is sound, leaders may lack a shared vocabulary, and nobody may know how to weigh the risk. Our Board & Executive AI Programme runs two or three sessions built around the decisions they actually face.

  • Training worked for a while and then faded

    People may have been keen at first and gone back to the old way, nobody inside may own it, and the work itself may not have changed. We follow up some weeks after the sessions to see what changed, and help redesign how work flows so the new way is the easy one.

Fixing what’s stopping people first is faster than running another workshop.

What We Do

AI training covers five different groups of people, and each learns best from something different. Here's the work behind each.

CapabilityWhat it coversWhere you start
Engineers on their own codebaseHands-on sessions where your engineers use AI coding tools and build an agent on your own systems, learning when to trust the output and how to review it. Wider engineering change is on the AI-Native SDLC page.Agent Engineering Bootcamp: 2–3 days, $12K–$25K.
Leaders and boardsShort sessions for executives and boards on how to judge AI proposals: where AI belongs, how much to trust it, where the risk sits and what success looks like.Board & Executive AI Programme: 2–3 sessions, $8K–$18K.
Teams in finance, operations, legal and marketingWorkshops built on a team's real weekly tasks, so people practise on their own work and leave with shared prompts and review rules. A longer programme builds a team and a list of use cases worth pursuing.AI Practitioner Programme: 4–6 weeks, $15K–$40K.
Champions inside your companyTrain the people who will keep it going, with a curriculum you can license and run yourselves, so the training doesn't end when we leave.Curriculum Licence & Train-the-Trainer: annual, $15K–$35K a year.
Changing how work flowsRedesign the steps of a job when AI takes part of it, and deal with the resistance that comes with it. Training alone can't do this, and it's where most adoption stalls.Scoped on the call.

Our AI Training and Capability Enablement service covers training and adoption. Changing how your engineers build, measure and govern their delivery is AI-Native SDLC Transformation, and putting engineers into your team is AI Engineering Talent.

What We Build On

When you're deciding who will train your team, the specific tools matter, so we name them. These are the ones we teach and use ourselves.

AI coding tools
  • Claude Code
  • Cursor
  • GitHub Copilot
Building agents
  • Claude Agent SDK
  • LangGraph
  • LangSmith
  • MCP
Models
  • Claude
  • Gemini
  • OpenAI models
Where it happens
  • Your codebase
  • Your tools
  • Your own workflows

What the Work Looks Like

Three projects from the services above, with the problem each one started from and what changed.

View All Case Studies

Fair Questions

  • AI training teaches people what AI can do and how to use it. AI adoption is whether they actually use it on their own work afterwards. Training is one part of adoption, and a session can go well while adoption doesn’t move, because the tool wasn’t set up, nobody made time or the work itself didn’t change. Our enablement programmes cover both: sessions built on your own work, and a follow-up some weeks later to see what changed.

  • Ask why people aren’t using AI already. If the answer is a blocked tool, an unclear policy or a manager who hasn’t made room to try it, more training won’t help. If the workflow hasn’t changed, redesigning one workflow can matter more than a session. We check for those barriers first and will tell you before you spend anything if training isn’t the answer yet.

  • Leaders mostly need to judge proposals. That means knowing where AI belongs in the business, how far to trust its output, where the risk sits and what success should look like. Two or three short sessions built around real decisions are usually enough to give them a shared vocabulary. Our Board & Executive AI Programme runs in 2 to 3 sessions at $8K to $18K, built around the decisions your leaders actually face.

  • Rarely. Information fades without practice, and a generic workshop has no connection to what people do on Monday. A workshop works as a start when it’s built on the team’s own tasks and followed up. Our Agent Engineering Bootcamp is 2 to 3 days on your own codebase, and it ends with a working agent your own engineers built, which gives the follow-up something to build on.

  • It depends on who you’re training and how deep it goes. Our Board & Executive AI Programme is 2 to 3 sessions at $8K to $18K. The Agent Engineering Bootcamp for engineers is 2 to 3 days at $12K to $25K. The AI Practitioner Programme for teams in finance, operations, legal and marketing runs 4 to 6 weeks at $15K to $40K. Licensing the curriculum so your own trainers can run it is $15K to $35K a year. Redesigning how a job’s steps flow when AI takes part of it is scoped on a call.

Tell Us Who Needs to Learn What and We'll Tell You Where to Start

A free 90-minute session with a senior engineer, on the capability you want your own people to have. You leave with an honest view of what to train, for whom, and whether training is what's holding you back.

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