Deliver AI Business Value in Weeks, Not Quarters
We embed with your key stakeholders to uncover the 2-3 AI use cases tied directly to your strategic goals, build working solutions, and put real wins on the board. Then we use those proof points to drive organization-wide transformation. Whether you're deploying Claude, ChatGPT, or both.
Free 60-minute assessment — you'll leave with a customized roadmap whether or not we work together
Real business value first, then scale what works
We start by delivering wins that matter to your strategic goals. Governance, training, and scale follow naturally, powered by proof points your people created.
AI Impact Sprint
We embed with 2-3 key stakeholders to find and build the AI use cases tied directly to your strategic metrics.
- Identify the 2-3 highest-value opportunities linked to your business goals
- Build working solutions: custom GPTs, Claude skills, AI agents, prompt workflows
- Deliver proof points and internal champions who've seen what's possible
Platform Deployment & Governance
Configure your enterprise AI platform, set up the guardrails, and provision governed access, so Sprint solutions can scale safely.
- Enterprise licensing, workspace setup, SSO, and policy enforcement
- Knowledge base, workflow, and analytics connectors
- Responsible AI, security, and data governance frameworks
Change Enablement & Training
Scale adoption using the Sprint proof points as your internal case studies. 'Here's what your colleagues built' is more powerful than any generic tutorial.
- AI Ambassador network (5-10% of employees as change champions)
- AI 101/102/201 training pathways powered by your own Sprint examples
- Leadership enablement, comms orchestration, and adoption analytics
Ongoing Expert Delivery
After enablement, people have ideas, and we don't let those ideas die. Continuous Expert Requests keep new custom GPTs, Claude skills, and agents flowing.
- Monthly Expert Requests for new prompt workflows, assistants, and AI agents
- Kowalah accelerators (ready-made AI workflow templates) for common business processes
- Optimization sprints, innovation roadmap, and quarterly strategy reviews
You Don't Need Another AI Strategy Deck
The big consultancies will sell you a 12-week discovery phase, a beautifully bound strategy document, and a roadmap that gathers dust. Meanwhile, your employees are already using AI on free accounts, without governance, sharing sensitive data. You don't need more planning. You need results.
We skip the months of strategy theatre and embed directly with your key people. In weeks, we identify the 2-3 AI use cases tied to your strategic goals, build working solutions, custom GPTs, Claude skills, AI agents, prompt workflows, and put measurable wins on the board. Then we scale what works across your organization.
Working AI solutions delivered in weeks, not a strategy deck in months
Custom GPTs, Claude skills, and AI agents built for your specific business processes
Proof points and internal champions before organization-wide rollout
Prebuilt Kowalah accelerators (ready-made AI workflow templates) to fast-track adoption
Governance and compliance woven in from day one, not bolted on later
Ongoing Expert Requests keep new solutions flowing after the initial engagement
Common Pain Points We Solve
How We Deliver: Sprint First, Scale Second
Business value in weeks, organization-wide transformation in months. Governance and compliance are woven in from day one, not a separate phase that delays results.
AI Impact Sprint
We embed with 2-3 key stakeholders, get into the weeds of their actual work, and build the AI solutions tied to your strategic metrics. You end with working custom GPTs, Claude skills, or AI agents, and internal champions who've experienced what's possible.
- 2-3 high-impact AI use cases identified and linked to your strategic KPIs
- Working solutions delivered: custom GPTs, Claude skills, AI agents, prompt workflows
- Internal champions with first-hand proof of what AI can do for your business
- Executive briefing with results, ROI indicators, and scale-up recommendations
Platform Deployment & Governance
With Sprint proof points in hand, we deploy your enterprise AI platform, set up governance guardrails, and provision access, so the solutions your people built can scale safely across the organization.
- Enterprise AI platform licensing, configuration, SSO, and policy enforcement
- Knowledge base, workflow, and analytics integrations
- Governance framework, risk register, and compliance guardrails
- AI Ambassador enablement toolkit and coaching calendar
Change Enablement & Training
Scale adoption using Sprint results as your internal case studies. Training powered by 'here's what your colleagues built' is more compelling than any generic curriculum. AI Ambassador networks spread capability organically.
- AI 101/102/201 training pathways built around your Sprint proof points
- Leadership enablement, policy education, and communications cadence
- AI Ambassador forums, office hours, and change clinics
- Live adoption dashboards, sentiment surveys, and feedback loops
Ongoing Expert Delivery
After enablement, people have ideas, and we don't let those ideas die. Continuous Expert Requests keep new custom GPTs, Claude skills, and AI agents flowing. This is where transformation compounds.
- Expert Requests backlog with continuous custom solution delivery
- Accelerator deployment and advanced use case expansion
- Monthly optimization sprints with KPI and guardrail reviews
- Quarterly roadmap refresh and governance updates
What Makes This Different
Embedded Delivery
AI specialists who embed with your people, learn your business, and build solutions, not consultants who write recommendations
- 2-3 key stakeholders paired with dedicated AI specialists
- Use case discovery sessions tied directly to your strategic goals
- Custom GPTs, Claude skills, and AI agents built for your specific workflows
- Working solutions delivered in weeks, not a strategy document in months
- Internal champions created through hands-on collaboration
Proof Points Before Scale
Sprint results become the fuel for organization-wide adoption, making change enablement faster and more credible
- Training built around 'here's what your colleagues built,' not generic AI tutorials
- AI Ambassador network (5-10% of employees as change champions)
- Real internal examples that spark 'I didn't know it could do that' moments
- Adoption powered by peer proof, not top-down mandates
- Resistance dissolves when people see colleagues getting genuine value
Continuous Solution Building
After the Sprint, ideas keep flowing. Expert Requests ensure new custom GPTs, Claude skills, and AI agents are always being built
- Monthly Expert Requests allocation for new AI solutions
- Custom prompt libraries, assistant workflows, and agent development
- Department-specific workshops that uncover new high-value use cases
- Innovation pipeline management so good ideas never die
- Quarterly roadmap reviews to align AI capabilities with evolving business goals
Strategic Use Case Selection
We don't build random AI demos. We find the 2-3 use cases that will move the metrics your board cares about at year-end
- Executive alignment on which strategic goals AI should accelerate
- Anonymous AI usage surveys to surface what employees are already doing
- Prioritised use case roadmaps with clear links to business KPIs
- Board-ready progress reports showing AI impact on strategic metrics
- ROI tracking from Sprint delivery through organization-wide scale
Governance That Doesn't Slow You Down
Security, compliance, and governance woven into the process from day one, not a separate phase that delays delivery
- Enterprise platform configuration, SSO, and policy enforcement
- Responsible AI frameworks and data privacy guardrails
- Shadow AI detection and managed transition to governed tools
- Compliance monitoring built into every solution we deliver
- Risk register maintained alongside the innovation roadmap
Role-Specific AI Training
Progressive skill-building from AI 101 fundamentals to advanced custom GPT and agent development, powered by your own Sprint examples
- AI 101/102/201 curricula tailored to your organization and industry
- Department-specific workshops using real internal use cases
- Hands-on labs: building custom GPTs, Claude skills, and prompt workflows
- Executive enablement sessions for leadership communication
- Ongoing learning paths and skill development tracking
Program Execution Timeline
Business value in weeks, organization-wide transformation in months
3 weeks to first results, 14-21 weeks to full organization-wide deployment
Step 1
Weeks 1-3: AI Impact Sprint
2-3 weeks
We embed with your key stakeholders, identify the highest-value AI opportunities linked to your strategic goals, and build working solutions.
Deliver real business value and create internal champions before anything else.
Workstreams
- Strategic goal mapping and use case discovery with key stakeholders
- Build custom GPTs, Claude skills, AI agents, and prompt workflows for identified use cases
- Measure and document results tied to business KPIs
- Shadow AI usage baseline and priority department identification
Key Artifacts & Outputs
- 2-3 working AI solutions tied to strategic metrics
- Internal champions with hands-on experience and proof of value
- Executive briefing with results, ROI indicators, and scale-up roadmap
- Governance requirements assessment for enterprise deployment
Executive review of Sprint results and go/no-go for organization-wide scale
Step 2
Weeks 4-7: Platform Deployment & Governance
4 weeks
Deploy the enterprise AI platform so Sprint solutions can scale safely. Governance, licensing, and security configured in parallel, not sequentially.
Give Sprint solutions a governed home and provision access across the organization.
Workstreams
- Enterprise licensing, workspace configuration, SSO, and policy enforcement
- Knowledge base, workflow, and analytics integrations
- Governance framework, risk register, and compliance guardrails
- AI Ambassador enablement and coaching calendar
Key Artifacts & Outputs
- Configured enterprise AI platform with governed access
- Integration checklist with testing sign-off
- Governance framework and risk register
- Ambassador roster and enablement toolkit
Platform launch readiness review with security and executive sponsors
Step 3
Weeks 8-14: Change Enablement & Training
6-7 weeks
Scale adoption using Sprint proof points as internal case studies. Training powered by 'here's what your colleagues built' drives faster, more credible adoption.
Turn Sprint success into organization-wide AI confidence.
Workstreams
- AI 101/102/201 training pathways built around Sprint examples
- AI Ambassador forums, office hours, and change clinics
- Leadership enablement and policy education
- Adoption dashboards, sentiment surveys, and feedback loops
Key Artifacts & Outputs
- Training completion metrics and capability lift data
- Employee AI knowledge base and policy hub
- Leadership communications pack with Sprint results
- Live adoption dashboard and issue resolution log
Enterprise-wide adoption sign-off and ongoing services decision
Step 4
Weeks 15-21+: Ongoing Expert Delivery
7+ weeks, ongoing
Keep building. Continuous Expert Requests deliver new custom GPTs, Claude skills, and AI agents as teams discover new use cases. This is where transformation compounds.
Ensure AI value keeps growing in sophistication and measurable impact.
Workstreams
- Expert Requests backlog: custom GPTs, Claude skills, agent development
- Accelerator deployment and advanced use case expansion
- Monthly optimization sprints with KPI and guardrail reviews
- Roadmap refresh and governance updates
Key Artifacts & Outputs
- Growing library of custom AI solutions with documentation
- Optimization backlog prioritized with business owners
- Monthly adoption and ROI reporting pack
- Updated innovation roadmap and governance artifacts
Quarterly strategy review confirming new objectives and investment focus
Ongoing partnership
Continuous partnership beyond the initial engagement
- Monthly Expert Requests for new custom GPTs, Claude skills, and AI agents
- Quarterly optimization workshops and KPI reviews
- Innovation roadmap refresh with AI leadership team
- Annual governance and risk posture reassessment
Why This Approach Works
Research-backed results and real-world evidence that Sprint-first delivery outperforms traditional strategy-first approaches
3x
Harvard Business School & Procter & Gamble research
Teams using AI produce more top-quality solutions than individuals working alone
25-30%
McKinsey Global Institute research
Productivity gains in knowledge work tasks with governed AI deployment
4x
Kowalah client deployments
Faster time-to-value with structured deployment vs. organizations managing rollout internally
Cost Savings & Risk Reduction
- Eliminate duplicated licensing and shadow AI spend (typically £50-150k annually in a 2,000-person organization)
- Avoid rework with enterprise-ready governance and policy packs
- Reduce external consulting reliance through embedded Digital CAIO support
- Accelerate procurement and legal cycles with pre-built documentation
Productivity & Efficiency Gains
- Higher-quality deliverables via collaborative workspaces, advanced research, and shared assistant libraries
- Faster decision cycles with executive-ready analysis and scenario planning
- Product teams iterate quicker through integrated development workflows
- Operations maintain consistent policy adherence with centrally managed assistants
The Kind of Use Cases We Uncover and Build
Use Case
Executive Team Strategic Planning
Challenge: Your CEO needs a board-ready AI strategy by Friday. Pulling together market signals, competitive moves, and internal performance data manually would take the team a week.
Solution: Deep research capabilities fused with executive prompt libraries to produce board-ready scenario plans, risk heatmaps, and strategic recommendations in minutes
Outcome: Faster strategic decisions backed by AI-synthesised insight and clear action options
Use Case
Sales Prospecting & Negotiation Enablement
Challenge: Your best rep just lost a deal because they fumbled an objection they'd never practiced. There's no safe space to rehearse tough conversations before they matter.
Solution: Voice-powered role-play simulations that mimic prospect personas, objections, and negotiation styles with instant coaching
Outcome: Better-prepared reps, higher confidence, and measurable uplift in win rates
Use Case
Marketing Campaign Planning
Challenge: Your marketing lead is juggling three channels, two agencies, and a launch date that's already slipped once. Aligning messaging, assets, and analytics consumes weeks.
Solution: Collaborative AI workspaces with cloud storage, analytics, and CRM connectors to draft briefs, build calendars, and generate creative variations in context
Outcome: Campaigns launch faster with unified messaging, streamlined approvals, and data-informed creative
Use Case
Product Development Workflow
Challenge: Your product manager spends half their day in status meetings because product, engineering, and design have no shared view of backlog priorities, customer feedback, or release updates.
Solution: AI workspaces integrated with development tools that summarize issues, surface risks, and draft release communications
Outcome: Shorter iteration cycles with better cross-functional visibility and fewer context switches
Use Case
Operations Knowledge Sharing
Challenge: A new starter in operations just followed an outdated SOP because the latest version was buried in a shared drive. Teams need always-current guidance on policies and compliance steps.
Solution: Custom assistants that deliver policy Q&A, decision trees, and best-practice templates with advanced search and version control
Outcome: Reduced process errors, faster onboarding, and consistent compliance adherence
Use Case
Candidate Experience & Talent Attraction
Challenge: Your recruiters are fielding the same candidate questions dozens of times a week, leaving no time for the relationship-building that wins top talent.
Solution: Branded candidate assistants that answer questions, share interview prep tailored to the role, and capture sentiment for recruiters
Outcome: Higher candidate satisfaction, better-prepared interviews, and insight into talent pipeline questions
Your Investment
Start with a Sprint to prove value, then scale when you've seen the results
Pricing Model
AI Impact Sprint from £6,000. Full organization-wide program from £125 per employee.
Most organizations start with a Sprint (£6,000-40,000) before committing to the full program
What impacts pricing
- AI Impact Sprint scope: 1-5 use cases, 2-3 key stakeholders, 2-3 weeks
- Organization size for full program (per-employee change enablement, training, and Ambassador program)
- Enterprise AI platform licensing and procurement support
- Depth of system integrations, data residency requirements, and security review scope
- Ongoing Expert Requests allocation and managed services options
Included in every deployment
- AI Impact Sprint: use case discovery, custom GPT/Claude skill/agent builds, proof points, and executive briefing
- Full program: platform deployment, governance, AI 101/102/201 training, and Ambassador network
- Kowalah accelerators (ready-made AI workflow templates) deployed alongside custom solutions
- Expert Requests throughput, monthly optimization forums, and Digital CAIO guidance
- Governance pack, policy hub, and adoption analytics dashboards
- Each phase can stand alone — start with a Sprint and expand when you're ready
Ready to See What AI Can Actually Do for Your Business?
In 60 minutes we'll identify where the biggest AI opportunities sit in your organization
We'll map your strategic goals, identify the 2-3 AI use cases most likely to move the needle, and outline what an Impact Sprint would look like for your organization. No obligation. No hard sell. Just a clear picture of where the value is.
Book a ConversationComplimentary Assessment
Free AI Opportunity Assessment
60-minute conversation covering your strategic goals, current AI usage, and a customized view of where an Impact Sprint could deliver the fastest results
Duration: 60 minutes