AI has moved from pilot to enterprise mandate, but most organizations are trying to scale on a shaky foundation.
Recent Forrester research commissioned by Simpplr identifies the blockers: proving ROI with the right KPIs, enforcing security and access controls, and working through fragmented data environments that make AI results unreliable.
In this summit, analysts, practitioners, and IT leaders will break down what repeatable, governed AI execution looks like and what it costs when you skip the prerequisites.
You’ll leave with a practical blueprint for scaling AI across your digital workplace, including how to define measurable outcomes, implement responsible AI guardrails, and build architecture that holds under pressure — without adding complexity to your IT stack.
Walk away with a clear blueprint to scale AI across your digital workplace securely and measurably, without adding complexity to your IT stack.
Sessions will cover:
The state of AI readiness: Rowan Curran of Forrester on what’s blocking enterprise AI adoption and what the latest research says IT leaders need to prioritize now
Responsible AI that scales: Manoj Saxena of the Responsible AI Institute on operationalizing guardrails across policy, risk management, auditability, and oversight
Security and employee experience: Jonathan Sears of EY on translating AI policy into execution without sacrificing least-privilege access, compliance, or control
Measuring what matters: Daryl Cartwright of AWS on aligning infrastructure, governance, and KPIs to enable scalable, production-ready AI
Learn from leaders at
SPEAKERS
Rowan Curran
Principal Analyst at Forrester
Manoj Saxena
Founder and Chairman at Responsible AI Institute
Jonathan Sears
Global People Consulting and Technology Leader at EY
Daryl Cartwright
AI Acceleration Architect at Amazon Web Services
Dorren Schmitt
VP, IT Strategy and Innovation at Allen Media Group (The Weather Channel)
Jeff Garrett
VP of Solutions Architecture at Opkalla
Justin Huskamp
Solutions Marketing Director at Simpplr
Gurjeev Chadha
VP of Product at Simpplr
Agenda
9:00 AM –
9:30 AM PT
Forrester: State of AI for IT in 2026
AI is moving fast—but most enterprises are still struggling to scale beyond experiments. In this opening session, Rowan Curran from Forrester will set the stage with the latest research on how IT leaders are adopting AI, where progress is accelerating, and what’s holding organizations back. We’ll cover the realities behind the hype: governance gaps, data readiness, security concerns, and the operational barriers that stall momentum.
What you’ll leave with: a clear picture of the “state of AI” for IT today, plus the key decisions and foundations IT needs to put in place to move from pilot activity to measurable outcomes.
09:45 AM –
10:15 AM PT
Responsible AI Institute: Standards, controls, and technical guardrails for trusted AI
Most AI governance programs were built for a world where AI advises. Today, AI acts. It books appointments, approves transactions, routes decisions, and operates without a human in the loop. That changes the risk equation entirely.
In this session, Manoj Saxena, Chairman of the Responsible AI Institute, walks through a practical framework for classifying, governing, and verifying AI and AI agents based on what they actually do, not what they are called. Designed for IT and business leaders actively deploying AI, this session bridges the gap between high-level AI principles and the operational systems required to keep deployment secure, compliant, and defensible.
What you’ll leave with: A risk-based governance model you can apply immediately, giving you the clarity and control needed to deploy AI with confidence and accountability.
10:15 AM –
10:45 AM PT
EY: Turning AI policy into practice—risk, compliance, and the operating model
Most organizations can write AI principles. Fewer can operationalize them. EY will cover what it looks like to translate policy into day-to-day execution—decision rights, accountability, risk management workflows, and audit readiness. We’ll discuss how IT, security, legal, and the business align on what’s allowed, what’s not, and how to move faster without losing control.
What you’ll leave with: a practical operating model view. Who owns what, how to govern at scale, and how to avoid bottlenecks that stall adoption.
10:45 AM –
11:00 AM PT
Break
15-minute break
11:00 AM –
11:45 AM PT
11:45 AM PT IT Leaders Panel: What drives AI adoption and ROI in the workplace
The digital workplace is crowded, and workplace AI can add new layers of complexity. In this panel, IT leaders will share what is actually driving adoption and measurable ROI as they move from pilot to scaled rollout. Expect candid lessons on where initiatives stall, how they earn employee trust, and which decisions make the biggest difference early on.
We will cover the practical levers leaders are using to get results, including governance maturity and responsible AI guardrails, security and access control readiness, and the measurement approach that proves impact. You will leave with a clear set of patterns you can apply to increase usage, reduce tool sprawl, and connect workplace AI investments to business outcomes.
What you’ll leave with: A practical checklist of adoption and ROI drivers, plus examples of KPIs, enablement tactics, and governance moves that keep momentum after launch.
11:45 AM –
12:15 PM PT
AWS: Building the foundation for AI success
Organizations are racing to deploy AI in the digital workplace, but successful implementation depends on having the right infrastructure, governance, and measurement frameworks in place. This session, hosted by Daryl Cartwright (AWS), examines the technical and organizational challenges that derail AI implementations, and why 80% of companies are revising their data strategies to support AI initiatives.
We’ll explore practical frameworks for selecting high-impact use cases, implementing security and compliance guardrails, and defining what success looks like through meaningful KPIs that prove ROI. Real-world examples demonstrate how organizations leverage AWS infrastructure and services to build scalable, secure foundations for AI-powered digital workplace transformation.
What you’ll leave with: A practical blueprint for building AI-ready infrastructure, so you can deploy securely, scale with confidence, and measure real business impact.
12:15 PM –
1:00 PM PT
1:00 PM PT Forrester: What’s next in proving ROI, securing access, and scale
This closing session turns the day’s insights into a concrete plan for IT leaders scaling workplace AI. Simpplr and Forrester will translate the summit’s core themes into a sequenced set of actions you can start immediately. Topics include measurable outcomes, security and access control, responsible AI guardrails, and unified knowledge and context. Expect practical guidance on what to prioritize first, what to standardize, what to instrument, and where teams typically get stuck when moving from pilots to enterprise rollout.
What you’ll leave with: A pragmatic checklist and sequencing plan covering KPI baselines and ROI measurement, permissioning hygiene and auditability, governance standards, and the data and knowledge unification steps that improve relevance and trust.
Registration
A must-attend virtual event for IT leaders
driving AI at scale, featuring exclusive
insights from Forrester
Take your front-row seat for the Intranet Innovations Virtual Summit 2026
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