The Voice of Business

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AI training and consultancy for European organisations

AI Training, AI Audits and Automation for Businesses Across Europe

We train your teams on the AI tools you already pay for (Microsoft 365 Copilot, ChatGPT, Claude and Gemini), audit how AI is really being used across your processes, and build only the automations the audit shows are worth it. EU AI Act and GDPR are built in from the start.

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See the training

The discovery call runs thirty minutes, in half hour slots. There is nothing to prepare, and nothing is quoted or scheduled before it.

How the work runs

The assistants your teams already have

  • Microsoft 365 Copilot
  • ChatGPT
  • Claude
  • Gemini
  1. AI TrainingTeams learn the assistants they are already paying for
  2. AI AuditHow AI is really being used, across your processes
  3. Opportunity IdentificationThe repetitive work worth automating, named
  4. Workflow DesignOne process redrawn end to end, before anything is built
  5. AI AutomationOnly what the audit showed was worth building
    Built on
    • FlowHunt
    • Lindy
    • Lovable
    • LiveAgent
  6. Business OutcomesLess repetitive work, with EU AI Act and GDPR already in it

Training delivered across Europe

15

AI-trained European institutions and agencies

5,000+

AI-trained professionals

20+

Years in automation, optimisation and IT operations

1,000+

Hours of AI training delivered in 2026

AI Training in Numbers

What we do

Three services, one sequence: train, audit, automate.

We train the people who use AI. We audit how AI is really being used in the systems you already run. We build the automations that come out of the audit. We do not resell software licences.

Most organisations start with training, because it is the smaller decision and it shows where the repetitive work actually sits. An audit usually follows, and the automation follows the audit.

01AI Training

What does AI training for a business include?

Core AI courses and bespoke in-house programmes, run for the people who will use the tools. A session here is not a talk about a topic.

  • 5tools we train on
  • 6core AI courses

The tools we train on5

  1. Core AI course
  2. Bespoke programme
  3. A way to check it worked

What one core AI course ends with4

  • Explain what generative AI and a large language model are, and what a hallucination is
  • Write prompts for day-to-day tasks: structured text, meeting minutes, blogs, emails and summarisation
  • Create structured content and describe how a prompt becomes a workflow
  • Describe how AI agents work, from a simple blog generator upward

Generative Artificial Intelligence: The Basics & Beyond (Gen 1)

More on AI training
Who is the training for?
Process-heavy organisations with structured teams (support, operations, admin, sales) already running CRM, Microsoft 365 or Google Workspace, with no structured AI strategy yet. Both SME and Enterprise.
Set course, or built to your shape?
A core AI course teaches a subject; a bespoke programme rebuilds the work your teams already repeat, using their own documents and their own systems.
What does a training session end with?
Each one names what you will be able to do, lists what you need first, and ends with a way to check it worked. EU AI Act and GDPR content is built into every foundational programme rather than bolted on at the end.
How many courses are there?
Six core AI courses run to a fixed outline and are the entry point. The full catalogue runs to 20+ courses: leadership briefings, advanced workshops, sector sessions, drop-in clinics and hackathons.
AI Training

02AI Audit

What is an AI audit?

An AI audit is a structured review of how work moves through your organisation, run to one methodology, applied to the systems and processes you already have. It takes three days for a typical engagement.

  • 3days, typical engagement
  • 5deliverables you keep

What an audit hands back, every time5

  1. Process documentation the organisation keeps, in its own vocabulary
  2. A register of knowledge gaps and key-person dependencies, named by process
  3. A prioritised roadmap of opportunities, each carrying the reason it sits where it sits
  4. A compliance checklist covering the EU AI Act and GDPR obligations those opportunities carry
  5. A tested prototype of the first opportunity, with its result written down

How we prioritise opportunities4

  • Volume of work
  • Exception rate
  • Data available
  • Compliance load

Illustrative. The weighting is set against your own documented processes in step three, not from a template.

More on AI audits
What does an AI audit examine?
How work actually moves through an organisation: the processes, the data those processes run on, the decisions made inside them, the compliance obligations attached to those decisions, the technology already installed, and the knowledge that currently sits with individual people rather than in any system.
Where does compliance come in?
EU AI Act and GDPR obligations are ranked inside the audit itself, not reviewed once it is over.
What do you get at the end of an AI audit?
One methodology, five steps: map your processes, document how they run, identify the opportunities, test a prototype, and build and scale what works.
AI Audit

03AI Automation

What is AI automation, and when does it start?

There is nothing to choose from before an audit: no named package, nothing to compare. What gets built is whatever the first four steps established was worth building, and it is built with the people who will run it afterwards.

  • 5 of 5final step of the audit
  • 4areas automated so far

What audits have led to so far4

  • Document handlingReading and extracting the data held in invoices, contracts, forms and inbound email, where that data was previously keyed in by hand.
  • Reporting and dataConsolidating figures that sit in several systems at once into the reports somebody was assembling by hand on a fixed cycle.
  • Customer communicationTriaging incoming enquiries, drafting replies for an operator to approve rather than send unseen, and searching internal knowledge that had only ever been in people's heads.
  • Internal processes and workflowConnecting systems that do not talk to each other, and moving work between tools the organisation already runs and already pays for.

Areas of work, not packages. What gets built is decided by your own audit.

  1. Completed audit
  2. Tested prototype
  3. Workflow in production

What are you left with?

Workflows in production with their oversight defined, documentation the organisation owns, and staff trained to run and change what was built.

More on AI automation
What does your side do?
You name an internal owner for each workflow that goes live, and you send the people who will run it through training. That is what makes the result belong to the organisation rather than to whoever built it.
What is not fixed in advance?
How long a typical engagement runs, and who from the team builds it. Both are settled in the scoping conversation that follows the audit.
AI Automation

One method, five steps

How an AI audit actually runs.

  1. 1 Map your processesThe first step establishes how work actually moves, which is rarely how the organisation believes it moves.
  2. 2 Document how they runThe mapped processes are then written down in enough detail to be rebuilt: inputs, sequence, decision rules, exceptions, handoffs, and the volumes each one carries.
  3. 3 Identify the opportunitiesDocumented processes are then assessed for what AI can do reliably against them, and, as importantly, what it cannot.
  4. 4 Test a prototypeThe highest-ranked opportunity is built as a working prototype and put in front of the people who would use it, running on real work or a realistic sample of it.
  5. 5 Build and scaleWhat the prototype proved is then built for production.
How We Audit

Eighteen platforms, three groups

We work across the modern AI ecosystem.

The models, agents, automation platforms and support tools we train teams on, audit against and build with.

AI models and assistants 6

AI agents and automation 7

Support, platforms and partners 5

Partners we work with directly

Voice of Business is tool-agnostic: we do not sell software. Where an audit or a workflow calls for a specific external tool, we name it here rather than describe it in the abstract.

Partners

Latest articles

Findings from our training and audit work.

Resources23 September 2026 AI governance for small and mid-sized businesses AI Governance For Small And Mid-Sized Businesses. A funnel sorts scattered AI tool icons into three labelled trays, Low Risk, Medium Risk and High Risk, under a purple shield with a checkmark, alongside stat callouts reading 77% no written AI policy, 81% use unapproved AI tools, and Risk Classification Resources23 September 2026 Cloud AI vs On-Premise AI: Which Fits Your Business? A desktop screen comparing Cloud AI and On-Premise AI feature by feature, with a presenter addressing colleagues in a glass-walled meeting room Resources22 September 2026 Off-the-Shelf AI vs Custom AI: Which Fits Your Business? A laptop comparing an off-the-shelf AI tool and a custom-built AI workflow feature by feature, with a presenter addressing colleagues in a meeting room Resources22 September 2026 AI Training for HR Teams: What Should It Cover? AI Training For HR Teams: What Should It Cover? A laptop on a desk shows an HR Training Checklist with bias and screening, data protection and GDPR, and the EU AI Act high-risk classification marked covered, and tool mechanics only marked as a common gap, with a meeting in progress blurred in the background Resources18 September 2026 What Predicts Whether an AI Project Reaches Production The article title beside four labelled principles for AI projects that reach production: Assess Before You Build, Fix Data First, Name an Owner, and Pair Internal With External Resources16 September 2026 Core AI Courses vs Bespoke Training: Which Fits Your Team? A laptop screen comparing core AI courses and bespoke training feature by feature, with a trainer presenting to colleagues in a meeting room

FAQ

Common questions about AI training, audits and automation

What does an AI audit cost?

An audit is charged at a published rate, set out in full on the pricing page, and a typical engagement runs three days. What the scoping conversation settles is the scope that rate applies to: which processes are in, and how many days that comes to.

Pricing

How does an audit start?

With a scoping conversation, and there is nothing to choose between beforehand. There is one methodology, set out in full, and one way into it.

How We Audit

What do I receive at the end of an audit?

A prioritised roadmap and a clear position on compliance, covering the systems and processes you already run.

Do you run AI training in-house, or only core courses?

Both. Core AI courses run to a published outline, and bespoke in-house programmes are built from your own processes and your own documents, scoped in a conversation.

AI Training

How many people have been trained?

Over 5,000 professionals, across European organisations, in both SME and Enterprise settings.

Is EU AI Act and GDPR content included?

Yes. Article 4 of the EU AI Act requires organisations to ensure AI literacy among their staff, and both that and GDPR are built into every foundational programme rather than bolted on at the end.

AI literacyEU AI Act

How much does AI training cost?

A two-half-day core course has a published rate for up to six people and a different one for seven to twelve. An audit and an automation build both publish a rate as well. Every figure is on the pricing page; what a scoping conversation settles is the scope it applies to.

Pricing

How long does an AI audit take?

A typical engagement runs to three days.

Where do you deliver training?

On site across Europe, and online. Sessions have been delivered for 15 European institutions and agencies.

Which languages is the training delivered in?

ChatGPT Basics and ChatGPT Advanced are delivered in English and Slovak. For any other course, ask when scoping.

Start here

Is the AI you already run doing what you think it is?

One methodology, applied to the systems and processes you have already put in. It starts with a thirty-minute discovery call: we establish which processes are in scope and who needs to be in the room, and nothing is quoted or scheduled before it.

Book a Discovery Call

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