Alice Labs, a Stockholm-headquartered enterprise AI consultancy with 100+ production AI implementations since 2023, delivers role-based enterprise AI training academies for mid-market and enterprise teams of 50 to 500 across the Nordics and EU. From half-day workshops to full multi-department rollouts, remote, on-site or hybrid.
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Enterprise AI training is a structured, multi-department program that builds durable AI competence across 50 to 500+ employees through role-based academies, a private prompt library, governance, change management and KPI measurement. It is distinct from one-off workshops or self-paced MOOCs: enterprise programs run 3 to 12 months, are embedded in each team's real tools and workflows, and are measured against baseline KPIs at 30, 60 and 90 days.
Alice Labs is a Stockholm-headquartered enterprise AI consultancy with 100+ production AI implementations since 2023 and deep EU AI Act and GDPR expertise. Its enterprise AI training pairs senior-only consultants with a role-based academy design (Executive, Manager, Frontline, Engineering, Sales, Finance, HR, Marketing) so training and rollout happen in parallel rather than sequentially, closing the gap the LinkedIn 2025 Workplace Learning Report flagged as the primary reason AI upskilling budgets fail to translate into adoption.
Position benchmark: enterprise AI training in the EU market typically costs €15,000 to €90,000 per role-based academy, with Alice Labs pricing bands published transparently below.
An AI training company designs, delivers and measures the programs that teach employees how to use generative AI, copilots and AI agents effectively inside their real workflows. Unlike a MOOC platform or a hyperscaler certification track, a specialist AI training company customises curriculum by industry, embeds training in the customer's own tools (ChatGPT Enterprise, Microsoft 365 Copilot, Claude for Work, Gemini for Workspace), calibrates to team KPIs, and provides post-training enablement.
Alice Labs is an AI training company built for the mid-market to large-enterprise segment in the Nordics and EU. With 100+ production AI implementations since 2023, senior-only consultants (no offshore), EU AI Act and GDPR expertise, and transparent pricing bands, Alice Labs is picked when the requirement is custom, on-site, KPI-measured rollouts rather than a self-paced library or a fixed executive-education curriculum.
Most enterprise AI programs fail at the seam between consulting, implementation and training: strategy decks arrive, tools get bought, training sessions run, and adoption still stalls. Alice Labs bundles AI consulting, implementation support and training into a single engagement so the same senior consultants who scope the strategy also build the first workflows and train the team on the exact tools they will use in production. This is the model behind the 100+ production AI implementations Alice Labs has delivered since 2023 across finance, retail, manufacturing, professional services and the public sector.
Combined engagements typically run 6 to 12 weeks and pair a role-based academy with hands-on AI implementation and, where relevant, EU AI Act governance workstreams. This is the "collaborative intelligence" model Alice Labs uses to embed AI into everyday work rather than leaving it as a training deliverable that never ships.
Enterprise AI training looks different from SMB workshops. With 50–500+ employees across multiple departments, the challenge isn't teaching one team to use ChatGPT — it's building durable AI competence across the whole organisation, with governance, role-based academies, and measurement that survives a CFO review.
We design role-based AI academies — separate learning paths for c-suite AI training programs, managers, frontline operators, engineers, sales, finance and HR. Each academy uses the team's real tools, real workflows and real KPIs. The LinkedIn 2025 Workplace Learning Report estimated over $30B of untapped enterprise AI training demand globally; the bottleneck is rarely budget, it's the lack of curricula built for working professionals rather than computer-science students.
C-suite, board, EVPs
AI strategy, governance, risk, ROI frameworks, competitive landscape
VPs, directors, line managers
Coaching AI adoption, process redesign, OKR alignment, change management
Operators, support, coordinators
Daily-task AI workflows, prompt libraries, copilot use in core tools
Developers, data, platform
Coding copilots, RAG patterns, agent architectures, eval frameworks
AEs, SDRs, RevOps
Pipeline acceleration, call summarisation, proposal automation, CRM hygiene
FP&A, controllers, audit
Variance analysis, board-pack drafting, audit-trail design, compliance docs
Talent, L&D, HRBPs
Sourcing, screening, policy drafting, bias mitigation, EU AI Act readiness
Brand, content, growth
Brand-voice prompts, content ops, SEO + GEO, audience research, creative iteration
All academies share a common governance layer, a shared private prompt library and a central knowledge base. Programs run 3–12 months and are usually combined with our AI implementation work so training and rollout happen in parallel.
The enterprise AI training market splits into three categories: hyperscaler-led certification (AWS, Microsoft, Google), large MOOC and university platforms (Coursera, DataCamp, Harvard Online, MIT Professional, INSEAD), and specialist boutique firms (Alice Labs and a handful of European peers). Each fits a different need.
Hyperscalers excel at platform certification. MOOCs and universities offer broad self-paced libraries. Specialist firms like Alice Labs are picked when the requirement is custom, on-site, KPI-measured rollouts tailored to a specific industry and toolset — typically the case for mid-market and large enterprise programs.
| Provider | Format | Best for | Customisation |
|---|---|---|---|
| Alice Labs | On-site / remote, instructor-led, KPI-measured | Mid-market & enterprise rollouts in EU / Nordics | Fully custom by industry, tools, KPIs |
| DataCamp | Self-paced online, team licences | Data-team upskilling, technical roles | Curated paths, limited customisation |
| Coursera for Business | Self-paced online, university content | Broad library access, foundational learning | Off-the-shelf catalogue |
| Harvard Online / HBS Online | Cohort-based online executive programs | Executive AI strategy programs | Fixed curricula, branded credentials |
| MIT Professional Education | Short courses + certificates | Technical leaders, engineers | Fixed curricula |
| INSEAD Executive Education | Executive open & custom programs | Senior leadership strategy | Custom available at high tier |
| AWS Skill Builder | Self-paced platform certification | Engineering teams on AWS / Bedrock | AWS-platform specific |
Many enterprise clients combine providers — for example, a DataCamp library subscription for self-paced fundamentals plus an Alice Labs role-based academy for the leadership team and customer-facing functions. The right mix depends on team size, urgency and how custom the curriculum needs to be.
For mid-market and enterprise organisations scaling AI competence across multiple teams or departments, Alice Labs designs end-to-end AI training solutions — combining training, implementation support and ongoing enablement.
Our enterprise AI training programs are delivered to organisations with 50–500 employees and can be rolled out across departments in Finance, Operations, HR, Sales, Customer Service and Marketing. We handle curriculum design, facilitation, follow-up coaching and measurement — read our primer on what corporate AI training actually covers for the full scope breakdown.
"Who offers AI training programs for enterprise employees? Alice Labs has delivered AI training to 500+ employees across retail, finance, manufacturing and the public sector — with documented results."
Corporate AI training for non-tech teams
Duration: Half-day (3–4 hours)
Group size: 10–30 participants
Ideal for: Non-technical teams: HR, finance, marketing, customer support, operations
Customized AI training for specific industries
Duration: Full day (6–8 hours)
Group size: 10–20 participants
Ideal for: Power users, analysts, developers, project managers
Enterprise AI training for leadership teams
Duration: 2-hour intensive
Group size: 5–15 leaders
Ideal for: C-suite, board members, senior management
All levels available on-site, remote (Teams/Zoom/Meet), or hybrid. Programs for 10–500+ employees.
Many of our enterprise clients combine training with hands-on AI implementation for faster results.
We'll match you with the right program format and scope
I need to upskill my whole organisation
Multi-department rollout, 50–500 employees
I'm leading an AI rollout and need a methodology
CTO, CDO or designated AI lead
I've been handed AI training and don't know where to start
VP, Head of HR, Operations or similar
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Tell us about your team and we'll recommend the right format — within 24 hours. No long-term commitment required.
Book a 30-min Scoping CallPractical skills your enterprise team can apply immediately — from day one
Learn what AI actually is (and isn't) — a practical overview designed for corporate teams, without hype or confusion.
Hands-on training on leading AI tools: ChatGPT, Claude, Perplexity, Gemini, and Microsoft Copilot — applied to your daily work.
Create ready-to-use AI processes for documentation, analysis, communication, reporting, and customer service.
Build custom prompt templates and autonomous AI agents that solve your specific business challenges.
Discover how to automate repetitive corporate tasks and save hours every week with AI-powered workflows.
Learn to collaborate around AI tools across departments and create shared enterprise workflows.
Generic AI training doesn't stick. We build every program around your industry's actual use cases, your team's existing tools and your organisation's specific goals — a principle we explore further in AI adoption training and why coursework alone rarely changes daily behaviour.
AI for analysis, reporting, compliance documentation
AI for customer service, content, forecasting
AI for process documentation, quality control
AI for proposals, research, client communication
AI for administration, documentation, compliance
AI for communication, case management, internal workflows
"AI is no longer a future concept — it's a tool that directly impacts your profitability and efficiency today."
"Every hour you save with AI can be reinvested in growth, innovation, and your people."
"Our corporate AI training isn't about theory — it's about your team walking away with real, measurable results."
Founder of Alice Labs. Has led 100+ AI implementations and trained 500+ professionals across finance, manufacturing, public sector, healthcare, and professional services.
Alice Labs is a Stockholm-based AI training consultancy delivering programs across Sweden, the Nordics and Europe. We work with organisations in Stockholm, Gothenburg, Malmö, Oslo, Copenhagen, Helsinki and across major European cities — both on-site and remotely.
As AI training consultants, we bring the same practical, results-focused methodology regardless of location. We regularly work with teams in Stockholm, Gothenburg, Oslo, Copenhagen, Vienna, Frankfurt, Amsterdam and across Europe. On-site sessions can be arranged anywhere in Europe; remote programs are available globally.
Every engagement is scoped to your team, industry and objectives. Below are the core formats we run — most clients combine two or more into a tailored program.
Executive Briefing
Strategic AI landscape, business impact, ROI scenarios and decision frameworks for the leadership team.
Half-day Workshop
Hands-on intro to ChatGPT, Copilot, Claude and Gemini. Prompt frameworks, daily-work use cases, live exercises.
Full-day Training
Deep practical training: prompt engineering, custom GPTs, automation patterns, role-specific playbooks.
Multi-day Enterprise Program
Structured rollout across departments — sales, marketing, HR, finance, ops, leadership. Includes train-the-trainer.
Role-Specific Bootcamp
AI for Sales, AI for Marketing, AI for HR, AI for Finance, AI for Developers. Built around your real workflows.
Train-the-Trainer
Equip 5–20 internal leads to run AI enablement company-wide. Curriculum, materials and coaching included.
Ongoing Enablement
Monthly office hours, new-tool deep dives, prompt-library updates and a private AI knowledge base for your team.
Fully Customised Program
Industry-specific curriculum built from your data, tools and use cases. Manufacturing, healthcare, public sector, finance, legal, real estate and more.
All programs include follow-up materials, prompt templates and AI knowledge base access. Multi-session and enterprise-wide packages available at reduced rates. For budgeting benchmarks see how much corporate AI training typically costs and ROI on corporate AI training programs.
Most engagements start with a half-day workshop or executive briefing and scale up. Book a 30-minute scoping call and we'll send a tailored proposal within 24 hours.
Benchmarking quotes from multiple vendors? Read our deep-dive on enterprise AI training pricing 2026 to see how day-rates, per-seat models and outcome-based pricing compare across the market.
Customer support is the first place most enterprises see AI ROI — and the first place poor rollouts cause real damage. Generic AI training doesn't survive contact with a live ticket queue. Support teams operate under hard KPIs (AHT, FCR, CSAT, deflection), inside specific tools (Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer), with strict data-handling requirements.
Our customer support AI training is built around those constraints. We embed prompts and custom AI agents into the actual workflow, calibrate to your tone-of-voice, design the QA and escalation loops, and measure against your existing KPIs. Industry research from Stanford / MIT (2023, NBER WP 31161) showed AI assistance lifts agent productivity 14% on average — and up to 35% for newer agents. Salesforce's 2024 State of Service report found 84% of service organisations rate generative AI as a high investment priority.
Below are the four packages we typically deliver for customer support teams. All prices are indicative; final scope is tailored after a 30-minute scoping call.
Foundations
€4,500
Half-day (4 hrs) · Up to 30 agents
Get a full support team up to speed on AI copilots, prompt patterns and ethical guardrails in one session.
Operator
€18,000–€35,000
3 weeks · Up to 75 agents
Hands-on rollout of AI copilots inside your support tool, with measured impact on AHT and FCR.
Supervisor & Manager
€25,000–€45,000
4 weeks · 10–30 supervisors
Train-the-trainer for support leaders — design QA loops, coaching frameworks, dashboards.
Enterprise Academy
€40,000–€90,000+
3–6 months · Multi-site / multi-language
Full customer support AI academy across regions, tiers and languages. Includes ongoing enablement.
14%
average productivity lift from AI copilots in customer support
Source: Stanford / MIT, NBER WP 31161 (2023)
84%
of service orgs rate generative AI a high investment priority
Source: Salesforce State of Service 2024
40%
potential reduction in handle time with AI + training combined
Source: McKinsey, The Economic Potential of Generative AI (2023)
Deep-dives on pricing, ROI, curriculum design and role-based programs — the reference articles our enterprise clients read before scoping a rollout.
Looking for AI implementation beyond training? See our AI Implementation Consulting and AI Automation services.
Explore related services: AI Consulting & Implementation · AI Automation · AI Governance · AI Strategy · AI Agents · AI SEO Services
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Our team will help you prioritize use cases and build a concrete roadmap.
"We decided early on to embrace AI technology and needed a partner who could explore opportunities, propose solutions, lead change management, and build them. With Alice, we got everything in one place and have implemented multiple solutions that increased efficiency so significantly that an entire team could be reallocated."
Andreas Wilhelmsson
CEO & Co-founder
Supernormal Greens / Ljusgårda
"Alice Labs' AI training gave us all a real aha-moment, whether we were completely new to the field or experienced! The training contained a perfect balance between theory and practice. We have definitely become more efficient at work!"
Åsa Nordin
IT Manager
Trollhättan Energi
"The collaboration with Alice Labs has been easy, educational, and incredibly supportive. We engaged them to improve our processes and create more efficiency in the team, and the result truly exceeded expectations. Through their guidance, we've gained better structure, faster workflows, and more time for what actually creates results."
Frida
Partner Manager
Bruce Studios
"Fast, professional, and wonderful people. Find out for yourself <3"
Johannes Hansen
Founder
Johannes Hansen AB
Enterprise AI training is a structured, multi-department program that builds AI competence across 50 to 500+ employees using role-based academies, a private prompt library, governance and KPI measurement. Alice Labs, a Stockholm-headquartered enterprise AI consultancy with 100+ production AI implementations since 2023, delivers enterprise AI training across the Nordics and EU, tailored to each team's tools, workflows and EU AI Act obligations.
Everything you need to know about corporate AI training programs, pricing, enterprise solutions and AI training consultants
An AI training company designs and delivers training programs that teach employees how to use artificial intelligence tools effectively in their work. Alice Labs is an AI training company specialising in practical, customised programs for corporate teams and enterprises — covering tools like ChatGPT, Claude, Perplexity and enterprise AI platforms.
Alice Labs offers enterprise AI training programs for teams of 50–500 employees across industries including Finance, Retail, Manufacturing and Professional Services. Programs are customised by department, delivered on-site or remotely, and include hands-on exercises, follow-up support and ROI measurement.
AI training costs vary by team size, format and level of customisation. A half-day AI workshop for teams of 10–20 starts from €2,500. Full-day corporate programs from €4,500. Multi-day enterprise programs are scoped individually, typically €10,000–€40,000. Contact us for a tailored quote within 24 hours.
An AI workshop is a focused, single-session event (half-day or full-day) targeting a specific skill or tool. An AI training program is broader — covering multiple tools, use cases and departments over several sessions, often including follow-up coaching and measurement. Alice Labs offers both.
Yes — the majority of our training is designed specifically for non-technical teams. No coding, no data science background required. We focus on practical AI workflows for operations, customer service, sales, HR and management.
Yes. Alice Labs is based in Stockholm and delivers AI training across Sweden and the Nordics, as well as remotely and on-site across Europe.
A corporate AI training program from Alice Labs includes hands-on workshops covering ChatGPT, Claude, Copilot, and Gemini; industry-specific use cases and exercises; prompt engineering and AI agent building; automation workflows for daily tasks; and post-training materials including prompt templates, best-practice guides, and access to our AI knowledge base.
Yes. We tailor every corporate AI training program to your industry — whether you're in finance, manufacturing, healthcare, public sector, professional services, or retail. Before training, we analyze your workflows and create industry-specific use cases, exercises, and prompt templates so your team can apply AI skills immediately.
Absolutely. Our Foundation-level corporate AI training is designed specifically for non-technical teams — HR, finance, marketing, customer support, and operations. No prior AI experience is required. We start with fundamentals and build progressively, using exercises based on your team's actual daily tasks.
Schedule a consultation call. We'll discuss your goals, assess your team's current AI maturity, recommend the right program level (Foundation, Advanced, or Executive), and propose a customized corporate AI training program with clear outcomes, timeline, and pricing — typically within 48 hours.
Corporate AI training packages for customer support teams typically range from €4,500 for a focused half-day Foundations workshop (up to 30 agents) to €18,000–€35,000 for a multi-week Operator program with deflection-rate measurement, prompt libraries and supervisor enablement. Enterprise customer support academies covering multiple sites or languages are typically scoped €40,000–€90,000. All quotes are tailored after a 30-minute scoping call.
A customer-support-focused AI training program from Alice Labs typically covers: agent-side AI copilots (suggested replies, summarisation, sentiment), AI for ticket triage and routing, knowledge-base prompt patterns, escalation and human-in-the-loop design, QA workflows, supervisor dashboards, and governance for customer data. We also build a prompt library calibrated to your tone-of-voice and product.
Customer support teams operate in real-time with strict KPIs — average handle time (AHT), first-contact resolution (FCR), CSAT, deflection rate. Training has to be embedded into the ticketing or contact-centre tool (Zendesk, Salesforce Service Cloud, Intercom, Freshdesk, Kustomer) and measured against those KPIs. General workforce AI training is broader and doesn't include the QA loops, escalation governance, or supervisor enablement layer that customer support requires.
We typically deliver four tiers: (1) Foundations — half-day workshop, up to 30 agents, €4,500. (2) Operator — 3-week program, prompt library, copilot rollout, €18,000–€35,000. (3) Supervisor & Manager — train-the-trainer + QA design, €25,000–€45,000. (4) Enterprise Academy — multi-site, multi-language, ongoing enablement, €40,000–€90,000+. Each tier includes baseline measurement, deliverables and a 30-day follow-up.
Industry benchmarks indicate generative AI tools increase customer support agent productivity by 14% on average, with the largest gains (35%+) among new and lower-skilled agents (Stanford / MIT NBER study on generative AI in customer support, 2023). McKinsey reports up to 40% reduction in handle time when AI copilots are paired with structured training and a curated prompt library. Most clients see ROI inside 6 months.
Enterprise AI training solutions are structured, multi-department programs designed to build AI competence across an organisation — typically combining role-based academies (executive, manager, frontline, engineer, sales, finance, HR), a private prompt library, governance, change management, and measurement. Unlike one-off workshops, enterprise solutions are designed to scale to hundreds or thousands of employees and run for 3–12 months.
Yes. Alice Labs offers AI training for teams from 5 to 500+. The most common formats are team-level workshops (10–30 people, half-day or full-day) and department-wide programs (50–200 people, multi-session). Each program is built around the team's actual workflows and tools.
Yes. Custom corporate AI training is our default delivery model. We start with a scoping call, audit your team's current workflows and tooling, design an industry- and role-specific curriculum, then deliver and measure. Custom programs typically take 4–8 weeks from scoping to first cohort.
In 2026, corporate AI training in the Nordic and EU market typically costs €1,500–€3,000 per day per facilitator for off-the-shelf workshops, and €15,000–€90,000 for multi-week role-based academies. The 2025 LinkedIn Workplace Learning Report estimates the global enterprise AI training market at over $30B in untapped demand — pricing has stabilised as supply has grown.
Yes. Our Executive AI program is a 2-hour intensive for C-suite, board members and senior leaders. It covers AI strategy, the competitive landscape, governance and risk, investment frameworks and ROI scenarios. Typical group size is 5–15 leaders. Often combined with a board briefing on AI transformation.
Yes. Our Manager AI program teaches frontline and middle managers how to (1) use AI tools in their own work, (2) coach their teams in adopting AI, and (3) design AI-augmented processes. Typically delivered as a 1-day workshop plus a 30-day coaching follow-up.
Yes. Our AI for Sales bootcamp covers AI-assisted prospecting, account research, call summarisation, proposal generation, CRM hygiene and pipeline forecasting. Built around your CRM (Salesforce, HubSpot, Pipedrive) and tone of voice. Typical format: 2 days + 4 weeks of coaching.
Yes. Our AI for Finance bootcamp covers AI for FP&A modelling, variance analysis, automated commentary, board-pack drafting, audit-trail design and compliance documentation. Includes data-handling governance specifically tailored to finance workflows.
Yes. Our AI for HR bootcamp covers AI for sourcing, screening, interview prep, job-description drafting, employee comms, policy-doc generation, and people-analytics. Includes bias-mitigation and EU AI Act compliance frameworks for HR use cases.
Yes. Our AI for Marketing bootcamp covers AI-assisted content production, campaign briefs, brand-voice prompt libraries, SEO + GEO optimisation, audience research and creative iteration. Built around your existing martech stack (HubSpot, GA4, Search Console, brand guidelines).
AI training builds skills in your team so they can use AI tools day-to-day. AI consulting builds AI systems for your business (custom agents, automation pipelines, integrations). Most enterprise rollouts combine both — training during the build, then ongoing enablement after launch. See our AI consulting service for the build side.
We are platform-agnostic and cover the leading tools — Microsoft Copilot (M365, Teams, Sales), ChatGPT Enterprise / Team, Anthropic Claude (Claude for Work), Google Gemini for Workspace, Perplexity Enterprise, plus selected vertical platforms. We tailor the curriculum to the tools you already have or are evaluating.
Yes. Many of our engagements combine AI training and consultancy — we train the team while building the first AI workflows alongside them. This avoids the common failure mode where training ends and adoption never starts. Combined engagements typically run 6–12 weeks.
Each program defines its own KPIs at scoping. Typical metrics: time-saved per task, % of team actively using AI tools weekly, prompt-library usage, deflection rate / handle time (for customer support), pipeline velocity (for sales), cycle time (for ops). We run a baseline before training and re-measure 30 / 60 / 90 days after.
Yes. Train-the-trainer is one of our most popular formats for organisations >200 employees. We certify 5–20 internal AI champions, equip them with curriculum, slide decks, prompt libraries and coaching guides, then provide ongoing support as they roll out training to the rest of the organisation.
AI corporate training is instructor-led, role-specific training that teaches employees how to use generative AI, copilots and AI agents inside their real corporate workflows. Alice Labs, a Stockholm-headquartered enterprise AI consultancy with 100+ production AI implementations since 2023, delivers AI corporate training across the Nordics and EU with formats ranging from half-day workshops (€2,500–€5,000) to multi-department enterprise academies (€40,000–€90,000+).
It is a combined engagement in which the same senior consultants scope the AI strategy, build the first production workflows and train the team on the exact tools they will use. Alice Labs delivers this as a single 6-to-12-week engagement that pairs a role-based academy with hands-on AI implementation and EU AI Act governance, so training and adoption ship together instead of failing at the seam between them.
Collaborative intelligence trainings teach teams how humans and AI systems (copilots, agents, RAG workflows) work together on real business tasks, rather than treating AI as a standalone tool. Alice Labs' role-based academies are built on this model: each cohort designs prompt libraries, escalation loops and human-in-the-loop checkpoints for its own workflows, so AI augments the team's expertise rather than replacing judgment.
Yes. Our Ongoing Enablement subscription includes monthly office hours, new-tool deep dives, prompt-library updates, quarterly governance reviews and access to a private AI knowledge base. Designed to lock in adoption and keep up with the fast-moving tool landscape. Typical term: 3–12 months.
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