Hear from Forrester and leading AI experts on how IT leaders can scale AI securely, responsibly, and measurably across the digital workplace.
AI has moved from pilot to enterprise mandate, but most organizations are still trying to scale on a shaky foundation.
Recent Forrester research commissioned by Simpplr identified the blockers: proving ROI with the right KPIs, enforcing security and access controls, and working through fragmented data environments that make AI results unreliable.
Across the summit, experts from Forrester, Responsible AI Institute, EY, AWS, Simpplr, and IT leaders in the field shared practical ways to move from AI experimentation to governed execution.
Watch the sessions for a clear blueprint to scale AI across your digital workplace securely and measurably, without adding complexity to your IT stack.
Across sessions, we explored
What is blocking enterprise AI adoption, why organizational context matters, and what IT leaders need to prioritize now
How to operationalize guardrails across policy, risk management, auditability, and oversight
How to translate AI policy into execution without sacrificing least-privilege access, compliance, or control.
How to align infrastructure, governance, and KPIs to enable scalable, production-ready AI
Real insights from real leaders at
Rewind from the sessions
Forrester: The State of Agentic AI for IT in 2026
AI is everywhere right now, but most companies are still trying to figure out how to make it useful at scale. In this session, Forrester shares findings from its AI for the Digital Workplace research and breaks down what is getting in the way, from scattered knowledge to unclear ROI.
Watch for: A clearer view of where enterprise AI is headed, what IT leaders need to fix first, and why organizational context matters so much.
Responsible AI Institute: How to govern AI in the new agentic age before it governs you
AI agents are starting to do more than answer questions. They are taking action, making recommendations, and shaping how work gets done. This session looks at what that means for governance and how teams can stay in control as AI becomes more active across the business.
Watch for: Practical ways to think about AI risk, oversight, compliance, and trust as adoption grows
EY: Turning AI policy into practice—risk, compliance, and governance
It is one thing to write an AI policy. It is another to make it work across real teams, tools, and workflows. EY shares how organizations can move from principles on paper to governance people can actually follow.
Watch for: Guidance on accountability, audit readiness, risk management, and cross-functional alignment.
IT Leaders Panel: What drives AI adoption and ROI in the workplace
What actually makes AI stick inside an organization? In this panel, IT leaders talk through the lessons they have learned while moving AI from early experiments to real business impact.
Watch for: Honest takeaways on adoption, employee trust, security, enablement, governance, and the KPIs that matter.
AWS: Building the foundation for AI success
AI success depends on more than choosing the right tools. AWS looks at the infrastructure, security, and measurement pieces teams need before they can scale AI with confidence.
Watch for: Practical guidance on choosing the right use cases, setting up guardrails, preparing your infrastructure, and proving ROI.
Forrester: What’s next in proving ROI, securing access, and scale
To close the summit, Simpplr and Forrester bring the biggest themes together and talk about what IT leaders should do next. This session is a helpful recap for anyone trying to turn AI strategy into something practical, secure, and measurable.
Watch for: Clear next steps for proving value, managing access, scaling responsibly, and building a stronger foundation for AI in the workplace.