Role-based AI training
Hands-on sessions built around the real tasks of each role, from finance analysts to engineers to executives. People leave with prompts and workflows they use the next day.
Adoption & enablement
Turn AI licences into changed work,
Turn AI licences into changed work,
team by team
Training built around the workflows each role runs, internal champions who keep it going, and adoption metrics that show which teams have changed how they work and which need help.
Book discovery call
Our clients
KnowlesSterne KesslerRepleniumABBClient fiveClient sixClient sevenClient eight
Programmes that make
AI part of daily work
AI literacy benchmarking
Short assessments before and after training that measure understanding of AI capabilities, limits, and safe use, so you can see progress by team.
AI champions programme
A network of trained staff in each department who support colleagues, collect use cases, and report blockers, with structured coaching from tkxel.
Train-the-trainer
Your facilitators learn to deliver the training themselves, with materials, session plans, and observation sessions until they run it independently.
Executive AI sessions
Confidential one-to-one or small-group sessions for senior leaders on what AI can and cannot do for their area, and how to judge proposals.
AI centre of excellence
Design and launch of an internal team that owns AI standards, use-case intake, and enablement, with a plan for tkxel to step back over time.
Bought AI tools but usage is flat?
We can look at your adoption data and suggest where to start.
Book discovery callWhy do AI tools
go unused?
Generic training, no workflow change
People learn features in a classroom but never connect them to their own tasks.
Enthusiasm fades after launch
Usage spikes in week one and drops once nobody is there to answer questions.
Staff unsure what is allowed
Without clear rules, cautious people avoid the tools and risky ones misuse them.
No measure of progress
Licence counts show access, not whether anyone works differently.
How an enablement programme
rolls out
-
We measure current AI literacy and tool usage by team and identify the workflows each role spends most time on.
Deliverables: Literacy baseline, usage report, priority workflows
-
Role-based sessions run in waves, each built around the priority workflows for that group.
Deliverables: Session materials, prompt libraries, attendance records
-
Champions are selected, trained, and coached to support their teams and feed back use cases.
Deliverables: Champion network, use-case log, coaching notes
-
Adoption is tracked monthly and training ownership moves to your facilitators or centre of excellence.
Deliverables: Adoption dashboard, trainer certification, CoE charter
Featured success stories
[Placeholder] First case study headline that leads with the metric, then the mechanism.
“Placeholder quote — replace with a real client quote.”
[Placeholder] Second case study headline that leads with the metric, then the mechanism.
“Placeholder quote — replace with a real client quote.”
[Placeholder] Third case study headline that leads with the metric, then the mechanism.
“Placeholder quote — replace with a real client quote.”
Engineers who ship inside your systems,
not isolated AI demos
Talk to an FDE lead
Production from the first sprint
We build in your repositories and environments from day one, so there is no separate rebuild between proof of concept and release.
Senior pods, not rotating benches
Each pod is led by an engineer who has shipped AI systems before, drawn from tkxel’s team of around 150 AI professionals. The same people stay through delivery.
Governance built in, not bolted on
Autonomy matrices, audit trails, and human review are designed with your risk and security teams before release, backed by ISO 27001 controls.
Measured against your metrics
Every engagement starts with agreed business metrics and evaluation sets. We report against them throughout, and the pod exits when your team can run the system.
We've been recognized by the best, year after year
- Inc. 5000
- Top 15 Inspiring Workplaces
- Titan Business Platinum (AI & Automation)
- Financial Times
- Mogul People Leader
- Forbes Coaches Council
- ISO 27001
- ISO 20000
- ISO 9001
- CMMI DEV 3
Plan an AI enablement programme for your teams
Clutch[Placeholder] Clutch badge and rating — add the official widget
“Placeholder testimonial — replace with the global set from tkxel.com.”
“Placeholder testimonial — replace with the global set from tkxel.com.”
Frequently asked questions
Which AI tools does the training cover?
We train on the tools your organisation has approved, such as Claude, ChatGPT Enterprise, Microsoft Copilot, or Gemini, and on internal assistants we or your team have built. Sessions focus on workflows rather than one product’s features.
How do you measure adoption?
We combine three signals: literacy assessments before and after training, actual usage data from the tools, and short pulse surveys on how work has changed. Together they show which teams have adopted and which need more support.
Can training be delivered on-site?
Yes. Sessions can run on-site, remote, or hybrid. Executive sessions are usually in person; larger waves often run remotely to reach more teams quickly.
How many champions do we need?
A common ratio is one champion for every 20 to 40 people, with at least one in each department. The right number depends on how varied the workflows are across teams.
Will training alone change how people work?
Usually not. Training without follow-up tends to fade within weeks. That is why the programme pairs sessions with champions, clear usage guidelines, and monthly measurement. Some teams will still adopt slowly, and the data helps you decide where to focus.
Do you write our AI usage policy?
We help draft it with your legal, security, and HR teams, so the training and the policy say the same thing. Final approval stays with your organisation.