AI Strategy Business Results

AI training and implementation delivering measurable ROI, proven in private equity.

Schedule a call
Contact us

Our Services

We help you unlock a sustainable AI advantage by investing in your people and your data.

Strategy & Assessment

Comprehensive stakeholder interviews and AI readiness evaluation. Delivers prioritised roadmap with clear implementation timeline.

Duration: 4 weeks

AI-Ready People

Business-focused AI skills training covering foundations, implementation, and C-Suite governance.

View training modules →

AI-Ready Data

Data architecture review, pipeline development, and workflow automation implementation.

Prerequisite: AI-Ready people

Roadmap Delivery

High-touch engagement to deliver roadmap via weekly 1:1 sessions and KPI reporting.

Ongoing advisory with structured accountability

Client Success Stories

Real-world examples of how our technical clarity delivers measurable business results

AI Transformation

Where We Learned What Works

Starting in 2022, we "leaned hard" into AI at ESW Capital, achieving 73% AI tool adoption, 92% AI-generated code, 2x productivity gains, and 50% faster time to market. This learning drives our transformation process.

US private equity

Read the full case study →
Development Productivity

How AI helped ship an adaptive learning platform in 3 months

Challenge: Industry debates AI productivity with studies showing 19% slowdowns vs. marginal gains

Results: 15-35x industry productivity through AI-native architecture, £1.75M+ traditional development cost savings, 100+ production users in 3 months

Ed-tech startup

Read the full case study →
Business Analysis

Workflow Optimization

Challenge: Manual user story creation and mockup development consuming 60+ hours weekly across BA team

Results: 50% time reduction in user story creation, 30% time savings on mockups, user story acceptance rate improved from 20% to 63%

London fin-prop

Read the full case study →
Development

Code Review Process Transformation

Challenge: Senior developers spending 40+ hours weekly on pull request reviews, creating development bottlenecks

Results: 60% reduction in human review time, 20+ development hours reclaimed weekly, maintained code quality while accelerating review cycles

London fin-prop

Read the full case study →
Development

Development Team Capacity Increase

Challenge: Sprint delivery consistently underperforming at 98-110 story points despite team growth

Results: Sprint velocity doubled to sustained 190+ points, individual developers reporting 25% productivity gains, developer clarification time reduced from 20+ to 13 hours per sprint

London fin-prop

Read the full case study →
Quality Control

Quality Control for Junior Staff

Challenge: 80% rework rate for junior business analyst outputs creating expensive revision cycles

Results: Rework rate reduced to under 30%, 50% faster onboarding for new team members, senior staff time freed for higher-value strategic work

London fin-prop

Read the full case study →

Ready to Transform Your Organization?

Get your personalized AI roadmap with measurable outcomes and clear implementation priorities.

Schedule a Call with Chris Hornby

You bought into AI. Where’s the payoff?

You're not alone. Many companies have invested heavily in AI, but the results haven't lived up to the promise.

It made sense to start by building tools, testing models, and launching pilots. But those tools are often overtaken by the next release from OpenAI or Google. Internally, teams are overwhelmed. Adoption is slow. People are tired of having yet another AI tool dropped on their desk.

This isn't just your experience.

  • Only 1/3 of organisations report scaling AI beyond pilots into measurable value.
  • 5% of companies achieve meaningful business returns from AI at scale.

Sources: McKinsey & Company, The State of AI: Global Survey 2025; Boston Consulting Group, Are You Generating Value from AI? The Widening Gap (2025)

It’s no wonder your teams feel fatigued. The pace is relentless, the tools keep changing, and the pressure to keep up never lets up.

We understand. And we can help.

Turning AI into a Core Competence

The only defensible strategy is to invest where the giants can't: your people and your data.

Companies that get strong ROI from AI do things differently from most. They pick well-chosen use cases for quick wins, then scale with leadership and a culture that drives adoption.

  • Strategy: 62% of "AI ROI Leaders" say AI is explicitly part of corporate strategy.
  • Training: employees who receive annual AI training report productivity gains of 8-14 hours a week.

Sources: Deloitte (20 Nov 2025), Turning AI into ROI: what successful organisations do differently; EY (10 Nov 2025), Work Reimagined Survey 2025

No one understands your business better than your people. Imagine building an internal AI culture where teams know how to use AI to solve real problems.

Repetitive tasks disappear.

People get back time for the work they care about.

Teams look forward to new AI tools because the last ones actually helped.

Momentum builds. Confidence grows. Like a flywheel, it starts slow, then becomes unstoppable.

That's when AI becomes your competitive advantage.

Our Approach to AI Transformation

We start with your people, not tools. We enhance the ones you have, so the people who understand your business can deliver exponentially more value with AI.

AI Transformation Diagram

Step 1: AI-Ready People

Transform your workforce into AI problem-solvers

Phase 1 (4 weeks): Foundation + Assessment
1

Foundation Training

4-module, hands-on AI course • Self-paced, problem-first methodology

View course modules →
2

Teardown Assessment

Stakeholder interviews • Actionable recommendations with clear priorities

Deliverable

Personalized AI roadmap for immediate implementation

Phase 2: Implementation
Execute identified AI opportunities
Scale successful pilots across departments
Build sustainable AI capability and governance
Measurable Outcomes
1. Adoption: Track implementation of recommendations and team usage patterns
2. ROI: Measure business value delivered through time savings and productivity gains

Typical outcomes with AI-ready people

25-50%
Time savings in daily work tasks
50%
Faster time-to-market for key deliverables
80%
Faster compliance assessment processes
100%
Teams equipped to identify AI opportunities
✓
Clear implementation roadmap with success metrics
✓
Leadership aligned on AI priorities

Step 2: AI-Ready Data (Optional)

For organizations ready to let AI do real work

Most organizations benefit from letting teams settle into AI practices before data transformation

Phase 1 (4 weeks): Data Assessment
1

Data Training

Data-readiness course • Parallel execution with people training

2

Data Assessment

Architecture review • Workflow automation potential analysis

Deliverable

Data governance framework and automation roadmap

Phase 2: Data Implementation
Clean and structure data for AI consumption
Build secure, accessible data pipelines
Deploy workflow automation
Measurable Outcomes
1. Adoption: Monitor automated workflow usage and data pipeline utilization
2. ROI: Measure operational efficiency gains and cost reductions from automation

Get in Touch

Have a question or want our AI Transformation Guide? We're here to help.

Get our comprehensive guide to AI transformation strategies and implementation