We train your people to
actually use AI and robotics.
Experrt is a training academy for applied AI, technology and robotics. Every course is facilitated live by a trainer, in your room or online, and built around your team's real work — not a video library they will never open.
What we train
Three subjects, one idea behind all of them: putting the technology to work inside a real business, with the people who have to live with it afterwards.
Applied AI
Using AI on the work your team already does: drafting, analysis, research, summarising a document nobody has time to read. Built around verification habits, because an answer nobody checks is a liability rather than a saving.
Not prompt tricks. The judgement to know when the output is wrong.
Technology adoption
The tools your organisation already pays for, actually used. Most companies have more capability sitting unopened in their existing licences than in anything they are about to buy.
Not a product demo. Your stack, your workflows, your people.
Applied robotics
Robotics as an operational question rather than an engineering one: what to specify, how to put it into a real process, who owns it, and what happens on the shift when it stops.
Not how they are built. How they are put to work.
Why now
Most organisations bought the tools first and are training afterwards, if at all. Three things changed that calculation this year.
Adoption
The tools arrived before the training did
Most organisations rolled out AI licences and assumed capability would follow. It did not. Usage clusters in a handful of enthusiasts while everyone else quietly opts out.
The licences are paid for. The team was not trained.Risk
Untrained use is the expensive kind
Staff using AI without a verification habit produce confident, plausible, wrong work — and it reaches customers. The failure is not the tool, it is the absence of a standard for checking it.
An answer nobody checks is a liabilityObligation
Enforcement started this month
EU AI Act Article 4 requires providers and deployers to take measures supporting AI literacy among their staff. National market surveillance authorities began supervising on 2 August 2026.
What L&D actually has to do under Article 4To be precise about the last one, because plenty of people are not: Article 4 requires measures supporting AI literacy among staff. It does not require a certificate, and no single course makes an organisation compliant. What we produce is a documented, role-proportionate record of the training you actually did.
The platform behind the training
Training is what we do. This is what makes it provable: a shared AI workspace your teams keep using after the course ends, which is also where the observed-practice figures in your records come from. An enabler, not the product.
Conversations
How can I help you today?
Ask anything about your work, projects, or data.
Active thread: Customer Support Automation
Maya
Experrt, draft a customer support launch brief using our Q2 project docs.
Experrt
Draft ready. I included rollout phases, owners, and risk controls from your policy set.
Luca
Great. Add an operations timeline and suggest staffing impact by week.
Experrt
Updated with a 6-week timeline and staffing estimates. Finance guardrails are applied.
Nia
Looks good. I need a compliance summary before sign-off.
Experrt
Compliance summary generated and attached. Ready for final approval and engineering handoff.
Know where each team actually stands
A five-minute assessment scores every person across five dimensions, by department and by role, so the training answers a measured gap rather than a guess. It is also how we decide what to teach you.
Somewhere for the practice to continue
A governed AI workspace your teams keep using once the trainer has gone home: the right models, your own documents, and guardrails set by your policy rather than by whoever signed up first.
Proof the training happened
Attendance, submissions, grades, facilitator credentials and observed use afterwards, exported as a dated pack. What a funding body, an auditor or a board actually asks to see.
Project collaboration in motion
Teams collaborate with AI in shared project spaces, hand off work across departments, and keep policy and context attached to every decision.
Live project room
Maya
Product
with AI
Reviewing AI-generated brief
Luca
Operations
with AI
Testing workflow suggestions
Nia
Finance
with AI
Checking policy compliance output
Jon
Engineering
with AI
Refining implementation with AI
Project timeline + AI handoffs
AI co-pilot thread
Kickoff and requirements aligned
Knowledge base docs linked to AI project space
Policy checks completed with AI guardrails
Launch review approved
How an engagement runs
Assess
Distribute the assessment by email, link or QR code. Five dimensions, six maturity tiers, scored by department and by respondent role.
Train
The gaps map onto the course catalogue. Book a cohort, and a facilitator delivers it live. Attendance, submissions and grades are recorded as it runs.
Evidence
Export a dated pack: who was trained, on what, by whom, and what changed in observed usage afterwards. The record, not a certificate.
One provider, deliberately.
We run on OpenAI and say so. Every organisation that buys training has to list who processes its data, and one named sub-processor is a far easier approval than four. Routing and governance match the right model, policy, and context to each task.
GPT-5.2
OpenAI
GPT-4o
OpenAI
GPT-4o Mini
OpenAI
o3-mini
OpenAI
Right model, right team
Department-level routing ensures engineering gets code-optimised models while commercial teams get conversational ones. No one-size-fits-all setup for the entire company.
Company policies built into daily work
PII detection, guardrails, and role-based policy controls are embedded where people actually use AI, so governance becomes part of execution instead of an afterthought.
Projects, documents, and collaboration in context
Attach internal documents, work in shared projects, and collaborate with AI as a team. Track adoption, usage, and ROI so you can scale what works.
What you get in writing.
Role-proportionate training records
Attendance and grading held per cohort
Third-party certificate verification
Dated, frozen evidence packs
Facilitator credentials on record
Department-level usage reporting
Row-level data isolation per tenant
Automated PII detection and guardrails
Simple, transparent pricing
Every plan includes unlimited free seats for AI readiness assessments. Pay only for premium AI features your team needs.
Basic
Paid from £195/mo (5+ seats)
Pro
Paid from £790/mo (10+ seats)
Included per seat / month
100 queries (Web Search)
Enterprise
Paid from £745/mo (5+ seats)
Included per seat / month
120 minutes (Voice Chat)
500 queries (Web Search)
100 images (Image Generation)
30 sessions (Deep Research)
All plans include unlimited team members for AI readiness assessments. Paid seats unlock premium AI features. 14-day Pro trial included.
Your people, genuinely
capable with this stuff.
Start with the assessment — five minutes per person, and it tells you which teams need what. Then we come and teach them.