Chief Digital Officer
Emerging Technology Adoption
What You Do Today
You evaluate and pilot new digital technologies — conversational AI, AR/VR, IoT, blockchain — determining which have genuine business value versus which are vendor hype.
AI That Applies
AI-curated technology intelligence that tracks adoption patterns, filters vendor noise, and maps emerging technologies to your specific business use cases.
Technologies
How It Works
The system ingests adoption patterns as its primary data source. NLP models process the text input by identifying entities, classifying intent, and extracting the structured information needed for downstream decisions. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The judgment call.
What Changes
Technology scouting becomes more systematic. AI filters the noise and surfaces what is actually being adopted in your industry versus what is just being talked about.
What Stays
The judgment call. Knowing when a technology is ready for your organization — given your culture, capacity, and customer expectations — is strategic wisdom, not a data point.
What To Do Next
This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for emerging technology adoption, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long emerging technology adoption takes end-to-end today, then after AI adoption.
Why it matters
The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.
Quality of output
How to calculate
Track error rates, rework frequency, or stakeholder satisfaction scores before and after.
Why it matters
Speed without quality is just faster mistakes. Measure both.
Start These Conversations
Who to talk to and what to ask
your board chair or lead independent director
“What data do we already have that could improve how we handle emerging technology adoption?”
They shape expectations for how AI appears in governance
your CTO or CIO
“Who on our team has the deepest experience with emerging technology adoption, and what tools are they already using?”
They own the technology infrastructure that enables AI adoption
a peer executive at a company further along on AI adoption
“If we brought in AI tools for emerging technology adoption, what would we measure before and after to know it actually helped?”
Their lessons learned are worth more than any consultant's framework
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.