You have AI tools. Now get the most from them.
Most businesses that invest in AI tools see only a fraction of the potential return. Low adoption, poor prompting, and missing configurations leave value on the table. We audit your AI performance and implement the changes that turn a mediocre deployment into a measurable competitive advantage.
Every dimension of AI performance.
We look at adoption, configuration, prompting, integration, and measurement. Every improvement is tracked against your baseline so you can see exactly what changed.
AI Performance Audit
A structured review of your current AI tool usage, adoption rates, and output quality. We identify where AI is delivering value and where it is falling short.
Prompt Engineering Optimisation
Poor prompts produce poor results. We audit your team's prompting practices and build a library of optimised, role-specific prompts that consistently deliver better outputs.
ROI Measurement and Reporting
We establish baseline measurements and track the time, cost, and quality improvements delivered by your AI tools. Clear reporting for leadership and licence justification.
Targeted Adoption Programmes
Low adoption is the most common reason AI investments underperform. We identify the barriers and run targeted enablement programmes for the teams not yet using AI effectively.
Configuration and Integration Review
AI tools often underperform because of configuration gaps or missing integrations. We review your setup and implement improvements that unlock capabilities you are not yet using.
AI Roadmap Development
A prioritised roadmap of AI improvements and new capabilities based on your business goals, current performance data, and the latest developments in your AI tools.
Optimisation engagement requirements.
To deliver meaningful optimisation, we need access to your usage data and a commitment from leadership to act on the recommendations.
Existing AI Tool Deployment
You should already have AI tools deployed, such as Microsoft 365 Copilot, Power Automate, or other AI platforms, for at least 60 days.
Usage Data Access
Access to usage reports and adoption metrics from your AI platforms. For Microsoft 365, this means access to the Microsoft 365 admin centre.
Baseline Process Data
Pre-AI baseline data for the processes you want to measure, such as time spent on tasks before AI was introduced.
Staff Feedback
Willingness to gather feedback from staff on their AI experience, including what is working and what is not.
Named AI Champion
A named internal AI champion who can drive adoption improvements and communicate changes to the wider team.
Leadership Commitment
Senior leadership commitment to acting on the optimisation recommendations, including any additional training or configuration changes required.
From audit to measurable improvement.
A structured optimisation process that delivers improvements you can measure and report to leadership.
Performance Baseline
We establish a clear baseline of current AI performance, adoption rates, and output quality across your organisation.
Gap Analysis
We identify the gaps between current performance and the potential value of your AI tools, prioritised by business impact.
Optimisation Plan
A prioritised plan of configuration improvements, training interventions, and process changes to close the identified gaps.
Implementation
We implement the configuration changes, build the prompt libraries, and run the targeted training sessions identified in the plan.
Measurement
We measure the impact of each optimisation against the baseline and report on the improvements delivered.
Ongoing Improvement
Quarterly reviews to assess new AI capabilities, measure continued adoption, and update the roadmap as your business evolves.
Optimisation delivering returns for UK businesses.
Professional Services Firm
A 120-person consultancy had deployed Microsoft 365 Copilot to 50 users but adoption was under 20% after 6 months. Leadership were questioning the licence investment.
Adoption barriers identified and addressed through role-specific training. Adoption reached 68% within 8 weeks. ROI report demonstrated 3.2x return on licence cost.
Retail Business
A UK retailer was using AI for product descriptions and customer communications but output quality was inconsistent and required heavy editing by staff.
Prompt library of 40 optimised templates built for key use cases. Editing time reduced by 60%. Output quality rated as good or excellent by 85% of staff.
NHS-Aligned Healthcare Provider
A private healthcare provider had invested in AI tools for administrative tasks but lacked any measurement framework to demonstrate value to their board.
ROI measurement framework implemented. First quarterly report showed 1,200 staff hours saved. Board approved expansion of AI programme to additional departments.
Getting less than you expected from your AI investment?
Book a free AI performance review. We will assess your current adoption rates, identify the biggest gaps, and give you a clear picture of what is holding your AI investment back and how to fix it.