Where to put the next charging station
Site selection answered in a conversation instead of a quarterly study. x101 reads demand, grid capacity, traffic patterns, planning rules and cost data together, then ranks candidate locations and shows the reasoning behind each one.
Example scenario · Energy · EV infrastructure
Last updated: 22 September 2026
The challenge
Deciding where to build next means combining data that lives in different places and different formats. The analysis is expensive enough that it happens quarterly, which means the answer is often built on assumptions that have already moved.
The analysis is a project, not a question
Bringing grid, traffic, demographic, planning and cost data together takes weeks of specialist effort, so it happens on a fixed cycle rather than when a decision is needed.
Assumptions age before the decision lands
By the time a study is finished, grid upgrade schedules, competitor sites and demand patterns have shifted, and re-running the work is not practical.
Reasoning is hard to interrogate
An investment committee sees a ranked list, but tracing why one site outranks another means asking the analyst who built the model.
Local rules are easy to miss
Planning constraints, grid connection limits and site-specific restrictions live in documents that no spreadsheet reads.
What x101 does
The same platform capabilities that run in production elsewhere, applied to this work. Each step below is standard platform behaviour, not custom development.
Every input in one place
Grid capacity, traffic and demand data, demographics, existing and competitor sites, planning records and cost data are read together rather than merged by hand.
Asked in plain language
A planner asks the actual question, such as which five locations in a region give the best return within the current grid constraints, and x101 works out what to gather.
Candidates ranked, with reasons
Locations come back ranked, each with the factors that drove its position, the forecast utilisation behind it, and any constraints that would still need to be resolved.
Local rules read, not assumed
Planning documents, connection policies and site restrictions are read directly, and any blocking clause surfaces with the passage that says so.
Re-run when anything moves
A changed grid upgrade date or a new competitor site is a follow-up question, not a new study, and the ranking updates with the reasoning refreshed.
Ready for the committee
The output is an investment-grade summary with its sources cited, so the decision and its evidence travel together.
Governance runs across every step. Each request carries the permissions of the person asking, actions follow the policies you set, high-impact steps wait for human approval, and every decision is written to a signed, replayable record.
What gets measured
These are the measures a deployment of this scenario is held to. Figures are published on this page once a live deployment has produced them.
Baseline and target
Agreed before the first week
- Elapsed time from question asked to ranked recommendation
- Number of scenarios evaluated per investment decision
- Utilisation of new sites against the forecast that justified them
- Analyst effort per site evaluated
How rollout works
A first use case live in weeks
- Inside your perimeter. Your cloud, your access controls and your data, from day one.
- Works with what you run. x101 reads the systems you already have, as they are today.
- Paired with a solutions engineer. Someone who has deployed this before works alongside your team.
- Measured against your baseline. The numbers that matter are agreed up front and reported against.
The parts of x101 this uses
Every capability below already runs in production. This scenario applies them to a different kind of work.
Unify
Grid, traffic, demographic, planning and finance data read as one picture instead of five exports.
Explore UnifyAgentic Orchestration
Specialist agents work each source in parallel and converge on one ranked answer.
Explore Agentic OrchestrationInstant Analytics
Demand and utilisation questions answered straight from live data, charted and explained.
Explore Instant AnalyticsDeep Research
Planning documents, market data and site records pulled together into a citable deliverable.
Explore Deep ResearchAI Explainability
Every ranking carries the factors that produced it and the sources behind them.
Explore AI ExplainabilityNo Vendor Lock-in
Runs wherever the data is allowed to live, on any cloud or entirely on-premises.
Explore No Vendor Lock-in
Make siting decisions on current data.
Ranked locations with the reasoning shown, re-runnable the moment an assumption changes, built on the data you already hold.