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AI adoption: EV & Mobility

AI adoption in EV & Mobility

EV and mobility companies collect rich data from vehicles and chargers. AI turns it into uptime, range confidence and better support for drivers.

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Use cases

Where AI pays off first

  • 01

    Battery and charger health

    Predicting faults and degradation from telemetry before drivers notice.

  • 02

    Driver and owner support

    Assistants that answer vehicle, charging and service questions.

  • 03

    Network and fleet planning

    Demand forecasts for charger placement, energy and fleet allocation.

The path

The path for EV & Mobility

Four stages, each ending with a decision. The first line of every stage is specific to your industry.

Step 1: Assess

Find where AI is worth it

  • Review telemetry coverage and quality across vehicles and chargers
  • List the work that is repetitive, slow or stuck in documents
  • Score each use case by value, feasibility and risk

Use case scoring

12 assessed
Use caseValueFeasibleRiskBattery and charger healthDriver and owner supportNetwork and fleet planning

Owner: Network operations lead

Measure: charger uptime

Step 2: Pilot

Prove one use case

  • Predict charger faults or answer owner questions for one model or region
  • Build one narrow use case with real users and real data
  • Write evaluation tests before the first prompt

Pilot: battery and charger health

Week 4

One region, 40 chargers

Faults caught before failure

Baseline0%
Pilot62%

Decision: continue

Reviewed with the owner

Step 3: Integrate

Put it where work happens

  • Connect predictions to service scheduling and the driver app
  • Connect to the systems people already use, not a separate tool
  • Add access control, logging and data protection

Connected systems

  • Charger networkTelemetry
  • Field serviceRepair jobs
  • Driver appStatus and support
Access controlLoggingData protectionUsage policy
Step 4: Scale

Make it routine

  • Extend to energy optimisation and fleet-wide planning
  • Reuse the same platform, patterns and guardrails for the next use case
  • Move from assistants to agents where the evidence supports it

AI use cases

This quarter
  • Battery and charger healthLive
  • Driver and owner supportLive
  • Network and fleet planningPilot

99.1% uptime

Across the network

EV & Mobility

Mobility software, from charger to driver.

Vehicles are becoming software products and the charging network is part of the experience. We build connected vehicle, charging and fleet systems for EV makers, operators and mobility companies.

What we buildWhat we build

Find your first AI use case

Tell us about your business and where the time goes. We will come back with the use cases we would assess first and how we would test them.

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Your project plan

Ready five days after the first call

Share plan

Approach

Fixed scope
  • Start with sign-up and onboarding, the riskiest flow
  • Ship to a pilot group every week from week three
  • Add the invoice reading agent once data is flowing
First release
Week 4
Demos
Weekly
Code
Yours

Team

5 people
  • PLProduct lead
  • SESenior engineer
  • SESenior engineer
  • PDProduct designer
  • AIAI engineer

Timeline

10 weeks
Discovery
Design
Build
Launch