Enterprise AI Integration Programme
Spearheaded an AI integration programme across customer service, operations, and marketing, establishing governance frameworks and measurable adoption targets.
Key Results
- 3 departments
- AI successfully integrated across customer service, operations, and marketing
- Governance established
- AI policy, approved tools list, and data handling guidelines in place
- Shadow AI eliminated
- Unauthorised tool usage replaced with governed, approved alternatives
- Measurable adoption
- KPI framework tracking usage, time savings, and quality impact per department
The Challenge
An e-commerce retailer wanted to adopt AI across the business but had no strategy, no governance, and no clear use cases prioritised by business value. Teams were experimenting independently with consumer AI tools, creating shadow AI risks and inconsistent outcomes.
Uncoordinated AI adoption was creating data security risks, wasted spend on tools that did not integrate with existing systems, and growing scepticism from leadership about whether AI could deliver real value. The business needed a structured programme that moved from experimentation to measurable impact.
The Solution
Approach
Ran discovery sessions with customer service, operations, and marketing to identify high-value, low-risk AI use cases. Built a governance framework covering data handling, approved tools, and escalation paths. Established a phased rollout with clear success metrics for each department.
Implementation
Deployed AI-assisted tools for customer service triage, inventory demand forecasting, and marketing content generation. Built training programmes tailored to each department's workflow. Implemented monitoring dashboards to track adoption rates, time savings, and quality metrics. Created an AI policy that balanced innovation with data protection requirements.
The Results
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