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Crafting a business blueprint for AI transformation

Learn how Breville | Sage Group turns AI pilots into a people‑first operating model that accelerates adoption, mitigates risk, and turns experimentation into measurable business impact.

Executive summary

As AI moves from cautious experimentation to everyday work, many organizations struggle to turn scattered pilots into something consistent and scalable. Overlapping tools, unclear guardrails, and fragmented ownership stall adoption and make it hard to prove value. This guide shows how Breville | Sage Group built a practical approach to AI that links leadership priorities with day‑to‑day work and extends the impact of early wins.

You’ll see how Breville engaged executive sponsors, empowered internal AI champions, and used Atlassian’s Teamwork Collection – featuring Jira, Confluence, Loom, and Rovo – to centralize strategy, govern usage, and turn successful AI patterns into reusable playbooks. Whether you’re just getting organized or ready to scale, this guide offers a clear path to aligning teams, setting smart guardrails, and embedding AI into how work actually gets done.

Key takeaways

Lay the groundwork for AI that works for people. Bring together executive sponsors, internal AI champions, and cross‑functional teams to identify real problems, prioritize use cases, and integrate AI into existing workflows – enhancing how people work instead of adding more noise and tools.

Turn AI experiments into a repeatable blueprint. Move from ad‑hoc pilots to structured discovery, governance, and rollouts with clear guardrails, reusable “starter kits,” and orchestrated workflows that make it easy to scale what works and retire what doesn’t.

Measure adoption and impact in one place. Use a connected platform like Teamwork Collection to centralize work, guidelines, and analytics – so you can track AI usage, quantify outcomes (like time saved and ticket reduction), and confidently invest in the highest‑value use cases.

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