Chief Operating Officer
Technology & Digital Operations
What You Do Today
Ensure technology supports operations — system reliability, automation adoption, digital workflow optimization. You're not the CIO, but you own the operational outcomes that technology enables.
AI That Applies
AI-powered operational technology monitoring that tracks system health, predicts capacity needs, and identifies technology-driven bottlenecks in operational workflows.
Technologies
How It Works
For technology & digital operations, the system tracks system health. Predictive models fit to historical outcome data identify which variables are the strongest leading indicators, then apply those weights to current inputs to generate forward-looking scores. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context. The technology investment decisions.
What Changes
Technology's operational impact becomes measurable. The AI shows that a system slowdown caused a 15% drop in processing throughput and predicts when capacity limits will be reached.
What Stays
The technology investment decisions. Choosing which operational technologies to adopt, how to integrate them, and how to manage the transition requires both technical understanding and operational expertise.
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 technology & digital operations, 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 technology & digital operations 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 technology & digital operations?”
They shape expectations for how AI appears in governance
your CTO or CIO
“Who on our team has the deepest experience with technology & digital operations, 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 technology & digital operations, 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.