ARTIFICIAL INTELLIGENCE BUSINESS ANALYST AND ADOPTION

Job purpose

The AI Business Analyst & Adoption role translates business needs into clear, measurable AI requirements and helps staff use approved solutions effectively. The role maps processes, defines user and acceptance needs, supports use-case assessment, and coordinates training, change and adoption activities. It connects technical delivery with practical business outcomes, while retaining human decision responsibilities, responsible use and evidence-based benefits tracking.
Principal responsibilities
Engage business teams to identify problems, current workflows, decision points and customer or staff needs before proposing AI solutions.
Distinguish AI needs from simpler reporting, rules or process improvements and document feasible options with technical colleagues.

Prepare use-case intake, business requirements, user journeys and acceptance criteria with named business owners and intended users.

•

Document expected benefits, current baselines, costs and measurement assumptions with business owners and Finance.

•

Identify data requirements, source owners, access needs and quality gaps with data teams; escalate unresolved dependencies.

•

Define human review, exception handling, escalation and customer-impact requirements with business and governance stakeholders.

•

Translate requirements into prioritised delivery items and maintain traceability through design, testing and business acceptance.

•

Support prototypes and demonstrations, capture user feedback and assess whether proposed solutions address the original business need.

•

Coordinate user acceptance tests, representative business scenarios, defects and business-owner sign-off; do not substitute these for independent validation.

•

Prepare change-impact assessments, communication plans, user guidance and training for approved AI and Microsoft Copilot use.

•

Work with HR communications and business champions to deliver training, gather feedback and support practical adoption.

•

Measure active use, task completion, output quality, user satisfaction and business-process changes against agreed baselines.

•

Investigate low adoption or unsafe workarounds and coordinate corrective actions with product, delivery and governance owners.

•

Maintain requirements, acceptance and adoption records; report benefit evidence separately from forecasts, training attendance and licence allocation.
•

Support AI governance activities by ensuring business requirements, intended use, human oversight requirements, and adoption considerations are appropriately documented and communicated to governance stakeholders.
•

Continuously identify opportunities where approved AI capabilities can improve efficiency, customer experience, decision-making, or risk management across business functions..
•