ipfour
AI ServicesAI OptimisationTargeted Adoption Programmes
AI Optimisation

Low adoption is the reason AI investments underperform.

Generic training does not fix low adoption. We identify the specific barriers holding each team back and deliver targeted enablement programmes that address the real reasons people are not using AI effectively.

Barrier Research Included
Team-Specific Sessions
AI Champion Development
UK-Wide Service
68%
Typical adoption rate after targeted enablement
8 weeks
Average time to measurable adoption improvement
54%
Adoption in low-engagement departments post-programme
3.2x
ROI improvement linked to adoption increase
What We Deliver

From low adoption to embedded AI use.

We identify barriers, design targeted programmes, develop internal champions, and measure the results. Everything needed to turn a low-adoption deployment into a high-value one.

Adoption Barrier Identification

We identify the specific reasons why teams are not using AI tools effectively, whether that is lack of awareness, poor training, workflow friction, or cultural resistance.

Barrier AnalysisRoot CauseTeam Interviews

Team-Specific Enablement Sessions

Targeted enablement sessions designed around the specific tasks and workflows of each team. Not generic training, but practical sessions focused on their actual work.

Team-SpecificPractical SessionsWorkflow-Focused

AI Champion Development

We identify and develop internal AI champions within each team who can sustain adoption, answer questions, and drive continued improvement after our engagement ends.

AI ChampionsInternal AdvocatesSustained Adoption

Change Management Support

For organisations where AI adoption faces cultural or structural resistance, we provide change management support to address concerns and build confidence in AI tools.

Change ManagementCultural ResistanceConfidence Building

Adoption Tracking and Reporting

We track adoption rates before, during, and after the programme, providing regular progress reports so you can see the impact of each intervention.

Adoption TrackingProgress ReportsImpact Measurement

Adoption Playbook

A documented adoption playbook covering the interventions that worked, the champions identified, and the process for onboarding new starters to AI tools effectively.

Adoption PlaybookOnboarding ProcessKnowledge Transfer
How We Work

From barrier research to measurable adoption.

01

Adoption Baseline Assessment

We measure current adoption rates by team, role, and department to establish a clear baseline and identify the teams with the lowest engagement.

02

Barrier Research

Structured interviews and surveys with low-adoption teams to understand the specific barriers preventing effective AI use in their day-to-day work.

03

Targeted Programme Design

We design a targeted enablement programme for each team based on their specific barriers, workflows, and the AI use cases most relevant to their role.

04

Enablement Delivery

We deliver the enablement sessions, combining practical demonstrations, hands-on exercises, and role-specific prompt guidance tailored to each team.

05

Champion Identification and Coaching

We identify the most engaged participants in each team and provide additional coaching to develop them as internal AI champions.

06

Post-Programme Measurement

We measure adoption rates four and eight weeks after the programme to confirm the improvement and identify any teams needing additional support.

Real Results

Adoption programmes that delivered results.

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.

Barrier research identified lack of role-specific guidance as the primary issue. Targeted enablement delivered to four teams. Adoption reached 68% within 8 weeks. ROI report demonstrated 3.2x return on licence cost.

Local Government Organisation

A local authority had rolled out AI tools to 200 staff but uptake was patchy, with some departments at 70% adoption and others below 10%, creating inequality in productivity gains.

Targeted programme delivered to the five lowest-adoption departments. AI champions identified in each. Adoption in target departments rose from an average of 8% to 54% over ten weeks.

Retail Head Office

A retail chain had invested in AI tools for their head office team but found that staff were using them for trivial tasks rather than the high-value work that would justify the investment.

Enablement programme refocused usage on high-value tasks including demand forecasting analysis, supplier communication, and performance reporting. High-value usage increased from 15% to 62% of all AI interactions.

Get Started

Paying for AI licences that most staff are not using?

Book a free adoption review. We will assess your current adoption rates, identify the teams with the lowest engagement, and outline a targeted programme to address the barriers holding them back.