Human-approved coding agent
Engineering capacity is the bottleneck. A coding agent makes scoped changes to a live platform and shows its plan for approval first.
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Technology & Telecoms
AI training for technology businesses that know the hype but still need adoption beyond engineering.
Teams we've trained include
- One of the UK’s four major mobile network operators, serving tens of millions of customers nationwide
- A European automotive SaaS platform serving dealerships and manufacturers across multiple markets
- A global customer service software business used by thousands of companies to support their customers
- A multinational telecoms software and services company supporting network operators worldwide
- A sports data and technology company powering insights for leagues, teams, broadcasters, and fans
- A UK fintech and accounting software company serving small businesses and their accountants
- One of the world’s largest social media and technology companies, reaching billions of users globally
- A global fintech and payments company connecting consumers, businesses, and financial institutions
- The UK’s largest fixed-line broadband and mobile operator, serving millions of homes and businesses
- A Cambridge-based remote access and connectivity software company serving enterprise customers globally
- A quantum computing startup developing hardware and software for next-generation computing applications
- A UK membership and discounts platform
- A UK IT and cyber security services firm
- A UK connectivity provider
Why firms like yours hire us
- Our AI training for technology companies gets commercial, operational and support teams using AI in their daily work, not just engineers.
- Sessions use the work each team does every week: key account briefings, sales objections, HR policy questions and monthly management reports, and technical teams build with Claude Code on their own projects.
- We've trained mobile network operators, telecoms software firms, payments infrastructure providers, SaaS platforms, cyber security services firms and connectivity providers.
- Each team, from executives and engineers to people, legal, finance, partnerships and customer operations, is trained separately, with one-to-one coaching available.
AI use cases from our technology and telecoms clients
Each one was worked on in our sessions with clients like yours, and comes from our library of more than 1,000 AI use cases.
Customer journey testing agent
Bugs reach customers before QA finds them. A browser agent clicks through journeys like a real user and traces each failure to the code.
Journey drop-off alerts
Problems show up in churn weeks later. Automated alerts fire when sign-up and engagement journeys move outside agreed thresholds.
Payment exception agents
Exceptions queue up for manual review. Agents repair routine cases and escalate low-confidence ones to human operators.
Security patching agents
Vulnerability backlogs keep growing. Coding agents patch issues across repositories while credentials stay in a separate, non-AI layer.
Ticket and SLA analysis
Repeat issues hide in ticket queues. Analysis finds recurring problems and escalation bottlenecks, shown on an interactive dashboard.
The numbers your competitors are watching
Tech and telecoms firms lead on AI, yet in many of them most staff still don’t use it, according to the latest official data.
How your peers are moving
Software and online businesses are training whole workforces to use AI in sales, marketing, service and support, not just engineering. Few have the budget or time to build their own academy, so we give your team that capability in days, not years.
We can usually identify your highest-impact use cases in a single conversation.
What we train on
- Automating data input and analysis
- Writing meeting notes and follow-up actions
- Summarising long documents and market research
- Crafting sales follow-up emails and sequences
- Drafting marketing literature and LinkedIn posts
- Reviewing slide content and campaign materials
Courses for technology & telecoms teams
What makes us different
- Everything is bespoke. Each session is built around your own data, workflows and use cases, such as your account plans, policies, support tickets and codebases, so people practise on real work.
- Our instructors are AI practitioners, not career trainers. They are founders, operators and advisers who use AI in their own work every day, so they answer the hard questions from direct experience.
- We take a data-driven approach. We survey your teams before and after the programme and measure time saved, AI adoption and return on investment, so you can see exactly what changed.
- We are a full-service AI enablement partner. Beyond the training, we offer AI strategy for leadership, one-to-one coaching for key people, and rollouts across multiple teams.
How we get your team there
A practical playbook
- 1
Anchor it in the work beyond engineering
Start with the commercial, people and operational workflows where better follow-through creates the most value: account briefings, sales follow-up, HR policy questions and month-end reporting. Tech firms that treat AI as a business capability, not an engineering tool, see it spread across every team.
- 2
Build on real documents and workflows
Teams adopt faster when training uses their actual account plans, policies, support tickets, reports and, for technical teams, their own codebase in Claude Code. Abstract demos generate interest. Working with live material changes behaviour.
- 3
Fix the data and access rules early
Settling with IT and InfoSec which models and connectors are switched on, and what must stay out of the tool, is what turns AI from a side experiment into something people use with confidence. Most firms find that access rules and connected data, not model capability, are the real constraints.
- 4
Measure adoption, not enthusiasm
Track time saved, which workflows are in use and which teams need more support, so AI is judged by operating impact, not seat count. Champions in each function and regular check-ins keep a smaller set of trusted workflows growing after the first session.
“Thought it was very clear, good that we had specific use cases for our actual work.”
Participant at a UK membership and discounts platform
“Thank you for the class it was brilliant explained very clearly and with purpose.”
Sales manager at a UK IT and cyber security services firm
“It was an engaging session which had a nice balance of hands on and theory.”
Participant at a UK IT and cyber security services firm
Ready to build AI capability in your firm?
We can map the highest-value use cases for your team and design bespoke sessions around your actual documents and workflows.
Sources and further reading
ONS: Artificial intelligence in UK businesses, 2023 to 2026DSIT: AI adoption researchDSIT: AI labour market survey 2025Skills England and DWP: What works for AI upskilling in the UKEurostat: Use of artificial intelligence in enterprisesUS Census Bureau: Large firms with at least 20 employees biggest AI usersSt. Louis Fed (FRED): Generative AI adoption for work, information industryFederal Reserve: Monitoring AI adoption in the US economyTrainline: Annual Report and Accounts 2026