AI Strategy Business Results

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

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"If you want to go fast, go alone; if you want to go far, go together."
— Proverb i
I always thought this was African, but it seems to have emerged from multiple cultures as a near universal truth. Learn more →

A Go Alone

Isolated AI pilots often deliver quick tech wins but fail to scale. Without broad organizational buy-in, these projects hit the "pilot trap" and struggle to deliver lasting value.

Only 5% of companies achieve meaningful business returns from AI at scale. (BCG, 2025)

B Go Together

We believe that AI is a journey. Empowered teams - aligned to a common goal - build sustainable capability that compounds over time.

Teams require guidance: approved tools and guardrails on safe usage.

Getting Started with AI

This is how we recommend embarking on your AI journey: clear, simple steps with measurable ROI. We can help you at each step.

LAUNCH

Linear, do once

GROW

Continuous cycle

Why ongoing?

AI shifts constantly. Last year's training is already outdated. Continuous learning compounds your advantage by keeping your teams at the cutting edge.

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Our Services

Each service maps directly to the numbered steps in Getting Started with AI.

1
Technical Teardown

Where are we now?

Stakeholder interviews, data/process review, and system audit to establish a clear baseline.

Output: current state report + proposed strategic roadmap
2
Strategic Roadmap

Review & approve the roadmap

Executive review to align priorities, confirm outcomes, and approve the roadmap produced in Step 1.

Output: leadership-approved roadmap
3
Steering Committee Training

Formalise the North Star

Define the North Star and adopt an AI policy that protects customer data and sets clear guardrails.

Output: North Star + AI policy
4
CoreAI Training

Foundation training

Establish a common language and mindset for AI adoption — pivotal for change management.

View training modules →
Output: AI-ready teams
5
Professional Development

People development pathways

Ongoing microlearning with role-specific pathways to build confidence and capability.

Output: increasingly proficient teams as AI evolves
6
Advisory Retainer

Guided roadmap delivery

Advisory support during execution, including ROI tracking and measurement of success.

Output: board-ready ROI measurement + strategic refinement

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

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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

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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

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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

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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

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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

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Ready to Transform Your Organization?

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

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