AI Training Powered by What Your Colleagues Actually Built

AI Training Powered by What Your Colleagues Actually Built

Generic AI tutorials teach theory. Our training uses your AI Impact Sprint results as the curriculum, so every workshop is immediately relevant to your people's actual work. Progressive AI 101/102/201 tracks across Claude, ChatGPT, and multi-platform environments.

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Free 60-minute assessment, you'll leave with a clear training roadmap

Our Methodology
Sprint First, Scale Second
Business value in weeks, organization-wide transformation in months
3x
Team output quality
25-30%
Productivity gains
4x
Faster time-to-value

Training That Sticks Because It's Built on Real Examples

Every training track uses examples from your own Sprint results and internal use cases. 'Here's what your colleague in Finance built last month' is more credible and immediately actionable than any textbook exercise.

1

AI 101: Foundations

Essential skills for every employee, taught using real examples from your organization. Covers AI capabilities, responsible use, and basic prompt engineering across your chosen platform.

  • Understanding AI capabilities through your own Sprint use cases
  • Tools mastery: web search, document collaboration, file analysis
  • Responsible AI usage policies tailored to your governance framework
  • Basic prompt engineering with exercises drawn from real business processes
2

AI 102: Applications

Move from basic usage to building custom workflows. Participants create their first custom GPTs and Claude skills using templates adapted from your Sprint solutions.

  • Advanced research techniques and agent-based workflows
  • Building custom assistants based on your Sprint solution templates
  • Integration with your enterprise tools (email, cloud storage, CRM)
  • Collaborative workspace creation for team-specific projects
3

AI 201: Role-Specific Workshops

Extended hands-on sessions where each department builds AI solutions for their specific workflows. Every lab exercise uses real business processes from your organization.

  • Role-specific prompt libraries and workflow development
  • Data analytics integration and advanced interpretation
  • Custom GPT and Claude skill creation with real business data
  • Advanced features: voice capabilities, projects, and automation
4

Executive Enablement & Train the Trainer

Leadership learns to use and champion AI using Sprint proof points. AI Ambassadors develop the skills to deliver peer enablement and drive adoption in their departments.

  • Executive-specific use cases: scenario planning, board preparation, strategic analysis
  • Leadership communication: how to champion AI with genuine credibility
  • Ambassador training delivery skills and peer coaching techniques
  • Internal certification and ongoing capability development

Why Generic AI Training Doesn't Work

Most AI training teaches features in isolation. Participants leave excited, but when they sit down at their desk on Monday morning, they can't connect what they learned to their actual work. Within weeks, they're back to basic usage or not using AI at all. The training budget is spent, but nothing changed.

Training built around your Sprint results solves this. When every exercise uses real examples from your organization, from custom GPTs your colleagues built to Claude skills that solved actual business problems, the connection between training and daily work is immediate and obvious.

Every track uses examples from your own Sprint results and business processes

Deep expertise across Claude, ChatGPT, and multi-platform environments

Hands-on labs where participants build real solutions, not theoretical exercises

Flexible delivery: virtual, in-person, or hybrid approaches

Progressive 101/102/201 structure that meets every person where they are

Connects to Expert Requests so training-inspired ideas become real solutions

Common Pain Points We Solve

Previous AI training had short-lived impact, people reverted to basic usage within weeks
Generic tutorials don't connect to your people's actual work and business processes
No internal examples to make training feel relevant and credible
Inconsistent skill levels across departments with no structured progression
Training creates excitement but no mechanism to act on new ideas (the Enthusiasm Gap)
Leadership can't champion AI because they haven't experienced it themselves

Why Sprint-Powered Training Delivers Better Results

Training built on real internal examples produces measurably stronger adoption than generic approaches

5x

Within 60 days

Increase in advanced AI feature adoption when training uses real internal examples

75%

Within 90 days

Of trained employees actively building custom GPTs and Claude skills for their roles

70%

Within 90 days

Reduction in support requests when training connects to actual business processes

Cost Savings & Risk Reduction

  • Turn unused AI licenses into active productivity gains across every department
  • Eliminate the 'training that fades' problem with immediately relevant content
  • Reduce time-to-value by building on Sprint proof points, not starting from scratch
  • Prevent the Enthusiasm Gap by connecting training to Expert Request delivery

Productivity & Efficiency Gains

  • Custom GPTs and Claude skills built during training are immediately usable in daily work
  • AI Ambassadors spread capability organically through peer influence
  • Role-specific prompt libraries created during workshops become team resources
  • Ground Game approach means every person progresses, not just early adopters

How Sprint-Powered Training Works

We build the curriculum around your Sprint results, then deliver it progressively so every person moves forward from wherever they are

Phase 1 1-2 weeks

Curriculum Design from Sprint Results

We review your Sprint solutions, identify the best examples for each training track, and design a curriculum that uses your organization's real AI wins as the foundation for every exercise.

  • Sprint solution analysis and example selection for each track
  • Custom curriculum design using your business processes and use cases
  • Role-specific workshop planning aligned to department workflows
  • Training schedule and logistics planning
Phase 2 2-3 hours + ongoing support

AI Ambassador Training (First Wave)

Train 5-10% of your workforce as AI Ambassadors before the broader rollout. These champions get advanced skills and become peer coaches who support colleagues during and after training.

  • Ambassador identification across all departments and levels
  • Advanced AI training covering custom GPT creation, Claude skills, and workflow design
  • Peer coaching skills and internal training delivery capability
  • Ambassador toolkit with resources for ongoing department support
Phase 3 4-8 weeks (rolling delivery)

Organization-Wide Progressive Training

Deliver AI 101, 102, and 201 tracks across the organization, with each session using Sprint examples and building toward real, usable AI solutions for each department.

  • AI 101 foundations for all employees using your organization's examples
  • AI 102 applications with hands-on custom GPT and Claude skill building
  • AI 201 role-specific workshops producing real departmental solutions
  • Executive enablement sessions using Sprint proof points
Phase 4 Ongoing

Reinforcement & Expert Request Pipeline

Ensure training sticks with follow-up sessions, Ambassador-led peer support, and a direct pipeline from training-inspired ideas to Expert Request delivery.

  • Follow-up sessions and skill reinforcement workshops
  • Ambassador-led peer communities and knowledge sharing
  • Expert Request pipeline for ideas generated during training
  • Adoption measurement and continuous improvement recommendations

What Makes This Training Different

Real Examples, Not Textbook Exercises

Every exercise uses examples from your Sprint results and business processes, making the connection between training and daily work immediate

  • Sprint solutions adapted as training templates and starting points
  • Role-specific exercises drawn from actual departmental workflows
  • Participants build solutions they'll use after the workshop ends
  • Internal success stories anchor every training conversation
  • Custom prompt libraries created from real business processes
Why it matters Training built on 'here's what your colleague built' is immediately credible and relevant in a way that generic tutorials never achieve

Ground Game Progression

We meet every person where they are and move them one step forward, from AI-sceptical to basic user to confident builder

  • Progressive 101/102/201 structure with clear skill milestones
  • No one gets left behind or held back, each track meets people at their level
  • Sceptics find compelling use cases, basic users move beyond Q&A, power users go further
  • Practical skill validation at each stage
  • Support for different learning paces and styles
Why it matters The Ground Game approach ensures organization-wide capability building, not just early adopter success

Hands-On Building, Not Watching

Participants build real custom GPTs, Claude skills, and prompt workflows during every session, not just watch demonstrations

  • Live building sessions using your organization's real data and processes
  • Each participant leaves with working solutions they can use immediately
  • Real-time coaching from experts with enterprise AI implementation experience
  • Practical troubleshooting and iteration skills
  • Solutions created in training become team resources
Why it matters People learn by doing. Building a custom GPT for your own workflow in a training session is more powerful than watching someone else do it

AI Ambassador Network

5-10% of your workforce trained as peer coaches before the broader rollout, creating sustainable internal capability

  • Ambassadors trained first with advanced capabilities and coaching skills
  • Peer support available in every department during and after training
  • Ambassador-led knowledge sharing communities and showcase events
  • Recognition and career development tied to AI leadership
  • Internal certification that validates expertise
Why it matters People trust their peers. An Ambassador who says 'let me show you what I built' drives adoption faster than any external trainer

Multi-Platform Expertise

Deep knowledge across Claude, ChatGPT, and multi-platform environments, so training covers the right tool for each use case

  • Platform-specific training tailored to your deployment (Claude, ChatGPT, or both)
  • Guidance on when to use each platform for different types of work
  • Custom GPT and Claude skill building with platform-specific best practices
  • Enterprise feature training (workspaces, voice, projects, integrations)
  • Platform-agnostic prompt engineering principles that transfer across tools
Why it matters Your people learn to use the right AI tool for each task, not just the one tool they happen to have access to

Connected to Ongoing Delivery

Training connects directly to Expert Requests, so ideas generated during workshops become real solutions instead of dying in backlogs

  • Direct pipeline from training-inspired ideas to Expert Request delivery
  • New custom GPTs, Claude skills, and agents delivered after training ends
  • Kowalah platform gives visibility of all projects and initiatives across the organization
  • Quarterly follow-up sessions to introduce new capabilities and techniques
  • Continuous improvement through adoption analytics and feedback
Why it matters Training without ongoing delivery creates the Enthusiasm Gap. The connection to Expert Requests ensures ideas keep becoming working solutions

How Sprint-Powered Training Works Across Departments

Use Case

Sales Team: From Email Drafting to AI-Assisted Selling

Challenge: Sales teams using AI for basic emails but haven't explored proposal generation, objection handling practice, or competitive analysis automation

Solution: AI 201 workshop using a Sprint-built proposal generation GPT as the starting template. Sales team adapts and builds their own custom sales workflows during the session

Outcome: Sales team leaves with working AI-assisted proposal and objection handling tools they can use the next day, with measurable improvement in proposal quality

Use Case

Marketing Team: From Individual Use to Team Workflows

Challenge: Marketing team members using AI independently for content creation but lacking collaborative workflows and brand consistency

Solution: AI 102 and 201 sessions where the team builds a brand-aware content assistant together, using examples from Sprint solutions in other departments as inspiration

Outcome: Marketing team creates a shared content workflow with brand guidelines built in, producing more consistent campaigns with less revision

Use Case

HR: From Policy Questions to Candidate Experience

Challenge: HR using AI for basic policy lookups but not leveraging it for onboarding, candidate communications, or interview preparation

Solution: Role-specific 201 workshop where HR builds a custom onboarding assistant, adapted from Sprint-built process documentation solutions in Operations

Outcome: HR delivers personalised onboarding guidance at scale, reducing time-to-productivity for new starters and improving candidate experience

Use Case

Operations: From Task Lists to Knowledge Systems

Challenge: Operations using AI for simple task management but missing the opportunity for process documentation and organizational knowledge capture

Solution: AI 201 workshop where Operations builds a process documentation system, then submits an Expert Request for a more sophisticated knowledge management solution

Outcome: Operations creates a living knowledge base that improves consistency and accelerates onboarding, with continuous improvement through Expert Requests

Use Case

Executive Team: Leading by Example

Challenge: Leadership supports AI but hasn't personally built or used AI solutions. Their championing feels theoretical rather than genuine

Solution: Executive enablement sessions where leaders build their own AI workflows for strategic planning and board preparation, using Sprint results as evidence

Outcome: Leadership team uses AI visibly in their own work, giving them genuine credibility when they champion adoption across the organization

Your Investment in Sprint-Powered AI Training

Training that uses your own Sprint examples and connects to ongoing Expert Delivery

Pricing Model

Training is typically included within AI Impact Sprint and Change Enablement programs, or available as standalone delivery from £75 per participant

1,000-employee training program across 101/102/201 tracks: from £75,000

What impacts pricing

  • Number of training tracks required (101, 102, 201, Executive, Ambassador)
  • Organization size and number of participants (500-10,000+ employees)
  • Delivery format preference (virtual, in-person, or hybrid)
  • Depth of role-specific customisation and hands-on lab requirements
  • Availability of Sprint results for curriculum design (or Sprint scoping needed)

Included in every deployment

  • Custom curriculum designed around your Sprint results and business processes
  • Expert facilitation across all selected training tracks
  • AI Ambassador development and peer coaching capability
  • Hands-on labs where participants build real, usable AI solutions
  • Custom prompt libraries and role-specific workflow templates
  • Connection to Expert Request pipeline for post-training idea flow
Ready to Give Your People AI Training That Actually Sticks?

Ready to Give Your People AI Training That Actually Sticks?

Most organizations start with an AI Impact Sprint, then use those results as the foundation for training

In 60 minutes we'll assess your current AI skill levels, review your Sprint results (or scope an initial Sprint), and design a training approach built around your organization's real business processes and use cases.

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Complimentary Assessment

Free 60-Minute Assessment

We'll assess current AI skill levels, review Sprint readiness or results, identify the training tracks that will have the most impact, and outline a curriculum approach built around your organization's actual work

Duration: 60 minutes

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