Resource Planner
Emerging technology monitoring
What You Do Today
Track emerging technologies — long-duration storage, advanced nuclear, green hydrogen, enhanced geothermal — and assess when they should enter the planning process. Balance innovation with the utility's need for proven, financeable resources.
AI That Applies
AI monitors technology development milestones, cost trajectory projections, and pilot project results across the industry to identify when emerging technologies cross the planning threshold.
Technologies
How It Works
The system ingests technology development milestones as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output is a prioritized alert queue, with the highest-confidence findings surfaced first for immediate review.
What Changes
Technology monitoring becomes more systematic with AI tracking development across hundreds of sources.
What Stays
Judging technology readiness for utility-scale deployment, managing the tension between innovation and prudence, and the engineering intuition about what will actually work at scale.
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 monitoring, 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 monitoring 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 VP Operations or COO
“What data do we already have that could improve how we handle emerging technology monitoring?”
They're prioritizing which operational processes to automate
your process improvement or lean lead
“Who on our team has the deepest experience with emerging technology monitoring, and what tools are they already using?”
They understand the workflow dependencies that AI tools need to respect
a frontline supervisor
“If we brought in AI tools for emerging technology monitoring, what would we measure before and after to know it actually helped?”
They see the daily reality that AI tools need to fit into
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.