6. Implementation and monitoring framework
6.1 Phased implementation approach
To ensure a responsible, controlled rollout, the council will adopt a phased approach for AI implementation. This will enable the council to monitor AI applications at each stage, making necessary adjustments to align with operational goals and ethical standards. The phased approach includes:
Phase 1: Pilot and assessment
Initial pilot projects will be conducted to assess the effectiveness, ethical implications and environmental impact of AI tools. These pilots will focus on specific, high-need use cases, allowing the council to collect real-time data on productivity, user experience and potential risks. Each pilot project will include clear objectives and measurable outcomes to evaluate AI’s value.
Phase 2: Evaluation and stakeholder engagement
Following initial pilots, the council will evaluate results, gathering input from staff, residents, and other stakeholders. This phase includes structured feedback sessions to refine AI tools and address any challenges encountered during the pilot. Engagement with the public will be emphasised to ensure transparency and build trust.
Phase 3: Gradual rollout
Based on evaluation insights, successful AI applications will be deployed on a wider scale across relevant council departments. AI tools will be gradually integrated into existing workflows, with training and support provided to ensure smooth adoption.
Phase 4: Ongoing monitoring and improvement
All AI applications will undergo continuous monitoring to assess their impact on productivity, environmental sustainability and ethical compliance. Regular reviews will be conducted to make sure AI aligns with the council’s strategic objectives, updating tools as needed (including the removal of the tool) to reflect changes in regulations, public expectations or operational requirements.
Each AI application will be evaluated against performance metrics aligned with council goals. Performance reports will be submitted to the Information Management Group (IMG) and the Digital and Efficiency Business Change Programme at regular intervals, ensuring transparency and accountability in AI operations.
The following key performance indicators (KPIs) will be used:
Efficiency gains
Metrics such as task completion time, workload reduction, and cost savings will measure productivity improvements.
Compliance and security
Regular audits and data protection assessments will ensure AI tools comply with GDPR and other regulations.
Environmental impact
AI applications will be evaluated based on energy consumption and alignment with the council’s climate change strategy. Sustainability metrics will be used to track and minimise carbon emissions.
Stakeholder satisfaction
Staff and resident feedback will provide insights into AI’s usability, accessibility, and alignment with public expectations.
6.3 Risk management and contingency planning
AI applications inherently carry risks, including data privacy issues, potential biases and unforeseen technical challenges. To mitigate these risks:
Risk assessments
Each AI project will include a comprehensive risk assessment to identify potential ethical, operational, and environmental risks. Mitigation plans will be developed for identified risks, with contingency plans in place for high-risk scenarios.
Incident response
The formal incident response plan will be updated for AI applications, detailing protocols for managing data breaches, system failures, or ethical concerns. The response plan will include a clear escalation path to ensure timely, effective resolution.
Regular reviews
AI applications will be reviewed on a rolling programme (based on risk profile and date of obsolescence) by the IMG to ensure compliance, mitigate emerging risks and maintain alignment with council values and priorities.
6.4 Governance and oversight
The council’s Information Management Group (IMG), led by the Senior Information Risk Owner (SIRO), will oversee all AI initiatives, including compliance with ethical, environmental, and governance standards. The IMG’s responsibilities include:
- approval and oversight - reviewing and approving AI projects based on their alignment with council goals, ethical standards and climate change strategy
- audit and accountability - conducting periodic audits to assess AI applications’ compliance with regulatory requirements and internal policies
- policy updates - updating AI policies and guidelines to reflect new regulations, ethical considerations or best practices in the field of AI
6.5 Continuous improvement and innovation
The council’s AI strategy will remain adaptable to emerging technologies and shifting public expectations. Through ongoing research, staff training, and community engagement, Bracknell Forest will pursue a culture of continuous improvement in AI, fostering innovation while safeguarding ethical and sustainable practices.
Research and development
The council will stay informed of AI advancements and explore new use cases that support council operations, improve resident services, or enhance staff capabilities.
Feedback loops
Feedback mechanisms will allow for ongoing dialogue with staff and residents, enabling improvements based on practical experiences and stakeholder input.
Regular strategy review
Every 2 years, the AI strategy will undergo a formal review, with updates made as necessary to reflect advancements in AI, changes in council priorities or updates to national regulations.