All systems go: Your flight plan for scaling enterprise AI

A 3-part webinar series from RapidScale:

Part 1: Thursday, September 10, 2 pm ET | Finding and justifying the right AI use case

Part 2: Thursday, October 1, 2 pm ET | Building a resilient data foundation, featuring Forrester

Part 3: Thursday, October 22, 2 pm ET | Deploying and sustaining AI in production

Everyone wants AI outcomes, but few organizations have a clear path to navigate from idea to implementation. In this three-part webinar series, we'll walk through the same strategic framework RapidScale uses to help organizations move from AI ambition to measurable business results.

Register now to gain a practical roadmap for building momentum, proving value, and scaling AI beyond isolated pilots.

Registration includes access to all three sessions. If you can't attend live, you'll receive the recordings.

Part 1: Thursday, September 10, 2 pm ET

Finding and justifying the right AI use case

AI success isn’t about brainstorming idea after idea. It’s about knowing which ideas deserve your investment.

In this session, RapidScale’s AI architects will unpack the framework that we use to help organizations identify, evaluate, and justify impactful AI use cases. You’ll learn:

• The #1 reason AI initiatives stall before they start
• Why infrastructure isn’t actually the biggest barrier
• Our 5-question framework for prioritizing use cases

Part 2: Thursday, October 1, 2 pm ET

Building a resilient data foundation, featuring Forrester

Data readiness decides whether your AI investment pays off. Guest speaker, Forrester VP and principal analyst Enza Iannopollo, joins RapidScale to lay out what data governance has to look like before agentic AI hits production, including:

• The data foundation agentic AI actually requires: lineage, quality, and real-time observability
• Forrester’s model for connecting data governance and AI governance into one system built for trust, control, and scale
• Why the biggest AI failures trace back to governance gaps, not model limitations

Part 3: Thursday, October 22, 2 pm ET

From decision to scale: Deploying and sustaining AI in production

See how the concepts from the series come together in practice. onPhase will share their experience going from prototype to production, offering a candid look at the decisions, challenges, and lessons that shaped their AI journey—and the surprising story of why they decided to change their company name as a result of our AI engagement.

Hear how they translated AI into real-world results, including:

• 88% cost reduction, $1.5 million in projected annual savings, and 10x capacity without adding headcount
• What it really takes to move from proof of concept to production
• The challenges and opportunities of integrating AI into real-world workflows
• How ongoing monitoring and optimization turn AI into a lasting business advantage