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AI Strategy & Governance Report
Clarity, confidence, and control: your organisation’s guide to responsible AI use.

AI is evolving fast—and so are the risks and expectations. This strategy report helps your organisation set a clear, intentional direction for how AI is used across your teams.
Grounded in behavioural insight, policy best practices, and your business goals, this paper gives leadership the confidence to say yes to innovation—while putting the right boundaries in place.
We begin with an internal AI maturity and use survey, gathering insights from staff to understand current behaviours, expectations, and comfort levels. From there, we develop a custom strategy and governance brief that reflects your context—not just generic advice.

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What’s Included:
AI Use & Readiness Survey — to capture real-world use, expectations, and concerns
Leadership Alignment Interviews — clarifies strategic goals and risk appetite
AI Maturity Snapshot — benchmarking your current stage of AI awareness and adoption
Policy Recommendations — including use guidelines, approved tools, and risk controls
Draft Internal Use Guidelines — employee-facing language that promotes safe, smart use
Governance Considerations — suggestions for roles, oversight, and ethical safeguards
Strategic Positioning — how AI aligns with your organisation’s mission and values
Outcomes:
A trusted internal reference for AI use—grounded, practical, and aligned to your goals
Shared language and expectations around what’s encouraged and what’s not
Risk visibility and governance framing tailored to your organisation
Confidence to respond to AI opportunities with clarity—not confusion
A foundation for future capability-building or implementation roadmaps
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AI Clarity Workshop
Empower your team to ask better questions—and identify the right AI opportunities.

AI isn’t just a tool—it’s a shift in how problems get solved. This hands-on workshop is designed to demystify AI and help your team discover where it can add real value in your business.
Through practical exercises, facilitated discussions, and real-world examples, we guide your team to move beyond the hype and focus on the challenges AI is actually equipped to solve. We also surface key risks, ethics, and boundary-setting considerations to support responsible exploration.

What’s Included:
Pre-Workshop Intake — to tailor content to your business context and AI maturity
90–120 Minute Interactive Workshop (in-person or virtual) with your leadership or project team
Use Case Discovery Exercises — frameworks to identify, refine, and evaluate AI opportunities
Safe Use Guidelines Primer — introduces governance principles in a practical, accessible way
Facilitated Problem-Solving Session — focus on real challenges your team faces daily
Summary Report — capturing insights, key opportunity areas, and next-step recommendations
Outcomes:
Shared understanding of AI’s capabilities and limitations—grounded in your business context
Prioritised list of real, relevant use cases for further exploration or implementation
Team alignment around what “responsible use” means in practice
Increased confidence and curiosity to engage with AI tools purposefully
A solid foundation for moving into implementation planning (see AI Roadmap)

AI Roadmap
From insight to action: a practical, phased plan to activate AI across your organisation.

Once your strategy is set and the right problems are clear, the Roadmap turns ideas into action. We work with you to identify where AI can create the most value—then structure a plan to implement, evaluate, and scale those solutions over time.
This is ideal for organisations ready to move beyond exploration and start doing—with guidance to ensure that innovation aligns with capacity, ethics, and customer impact.

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What’s Included:
Deep-Dive Discovery — stakeholder interviews and process reviews to uncover high-value opportunities
Use Case Evaluation Framework — assess feasibility, impact, effort, and alignment
Prioritised AI Opportunity Map — 3–5 use cases ready for next steps
Implementation Planning — tools, talent, budget, and change management considerations
Metrics & Success Criteria — what progress and impact will look like at each stage
Optional Vendor or Tool Guidance — suggestions based on your infrastructure and needs
Governance & Capability Layer — advice on internal roles, responsibilities, and resourcing
Outcomes:
A clearly prioritised, actionable plan for AI implementation
Visibility into resource needs, timeline, and risks for each use case
Support for internal alignment between leadership, IT, and operational teams
A repeatable framework to evaluate and scale new AI use cases as capacity grows
Confidence to move forward with AI in a way that is measured, ethical, and sustainable

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