Inside the AI Roadmap: AI Framework, Benchmarks & an AI Readiness Self-Assessment
Most contact center leaders have metrics that confirm the investment is delivering. Handle time is down. Deflection is up. But the metrics aren't telling you the whole story.
According to McKinsey, while 88% of organizations use AI in at least one function, only 21% are running it at enterprise scale. Fewer than 1% operate a genuinely agentic, orchestrated model.
Andrew Hall, CEO of Ethenta, partnered with Upstream Works to build a practical AI Roadmap that gives business leaders a clear diagnostic of where their organization currently sits — and a step-by-step framework to move towards true AI transformation.
What's inside:
- A framework across the five stages of AI maturity
- An AI readiness self-assessment to establish your benchmark
- An AI adoption path and timeline projections
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Ready for AI Transformation? Upstream Works runs a focused AI and CX Strategy Workshop designed to define your Stage 5 target operating model. Learn about the AI & CX Strategy Workshop.
Frequently Asked Questions (FAQs)
About the Five Stages of AI
Who is this whitepaper written for?
The Five Stages of AI whitepaper and AI roadmap are specifically for senior leaders of mid-market and enterprise contact centers and organizations. If you are currently overseeing an AI budget, managing a complex customer service operation, or architecting a future-focused CX tech stack, this blueprint provides the exact strategic diagnostics you need.
What practical tools does this blueprint provide to measure our operational reality?
The blueprint shifts the conversation away from tools and platforms toward actual organizational capability. The whitepaper provides a 10-question AI Readiness Self-Assessment for business leaders. This allows you to evaluate your operation based on what you have genuinely integrated and unified, rather than just what software your organization has bought.
Our current AI deployment is working well. Why do we need this whitepaper?
Your current metrics might look encouraging because handle times are down and deflection is up, which satisfies executives. However, the hard truth is that most organizations mistake progress in Stage 2 (Assisted AI) for the actual frontier. This whitepaper acts as a critical reality check, revealing that true transformation requires moving past simple human augmentation to build an entirely different kind of enterprise.
How does this guide help us identify and fix hidden technology bottlenecks?
It directly addresses the technical debt plaguing modern contact centers. With the average contact center juggling multiple technologies and only a few running on a single unified platform, fragmentation is a major roadblock. The whitepaper includes a comprehensive, 10-point Vendor Evaluation Matrix to help you score future technology partners against a Stage 5 target architecture, preventing you from locking in long-term constraints.