Less searching
Teams spend less time finding information and more time acting on it.
Why AF-X
AI that works where the decision happens.
AF-X puts AI inside the workflow, not beside it. From enquiry ranking to workshop planning and operational decisions, AI supports the moments where your teams already work.
PILLAR ASSETAI Native: AI inside the workflow
AI belongs inside the work.
AI creates value when it supports the decisions people already make. AF-X places intelligence directly into products and workflows instead of adding another system to manage.
01
AI inside workflows
AI supports the moment where decisions happen. Example: ranking enquiries, planning work, identifying opportunities.
02
Context, not commands
AI understands business data, processes and operational reality.
03
Human decisions remain
AI improves speed and visibility while people stay in control.
HOW IT WORKS
AI where the work happens.
Business signals flow into the AF-X AI layer, which returns recommendations and automation for people to act on.
INPUTS
Customer data
Vehicle data
Operational data
Business rules
- 01Business signals
- 02AF-X AI LAYERInside the workflow
- 03Recommendations and automation
- 04Human decision
Prioritised actions
Better decisions
Faster workflows
Business signalsCustomer, vehicle and operational data, plus your business rules.
AF-X AI layerTurns signals into recommendations and automation inside the workflow.
Human decisionPeople review, decide and stay in control.
WHAT CHANGES
What changes when intelligence is built in.
AI inside the product changes how quickly teams find information, decide and act.
Better decisions
Relevant data appears when decisions need to be made.
Faster operations
Routine decisions move faster without adding complexity.
Continuous improvement
The platform learns from operational patterns.
Where AI creates impact.
Retail XDealersAI-assisted sales decisions.See your fit →Workshop XWorkshopsPredictive service planning.See your fit →Fleet & Mobility XFleet OperatorsSmarter utilisation decisions.See your fit →Retail XManufacturersOperational intelligence across networks.See your fit →Remarketing XRemarketingFaster vehicle assessment and routing.See your fit →
The objection.
What we hear
Is this AI replacing the way our teams work?
The answer
No.
AF-X uses AI to support existing workflows and decisions. The people running the business remain in control.
- 1Inside your workflows
- 2Your team reviews
- 3People decide
The decision stays with the people running the business.
See how AF-X works →How AF-X is built differently.
Seven principles behind every AF-X product and platform.
Principle 01 of 07
100% Cloud
Built for cloud-first automotive operations.
Every AF-X product runs in the cloud, with no server in the back office and no upgrade weekend. One version is live for everybody, and a new site is a configuration rather than an installation.
Explore 100% Cloud →Principle 02 of 07
AI Native
AI inside every product, not bolted on afterwards.
AI works at the point the decision is made, in the workflow your teams already use. Every product states the AI job it does and the data it does it on.
You are on this pagePrinciple 03 of 07
Outcome Driven
Measured on the number that moves.
Every product names the business outcome it is designed to improve and reports against it once live. Assumptions remain visible, and figures are published only when validated—not replaced with speculative estimates.
Explore Outcome Driven →Principle 04 of 07
Platform of Platforms
Five automotive businesses, one data model.
Retail, workshop, fleet, parts and remarketing run on one platform, so a group stops running separate vendors and separate versions of the same customer.
Explore Platform of Platforms →Principle 05 of 07
Built to Bolt On
Keep your core. Add the Xperience.
AF-X connects to the DMS, GMS or ERP you run today. Nothing is ripped out, no part of the business stops, and the replacement decision stays yours.
Explore Built to Bolt On →Principle 06 of 07
System & Brand Agnostic
Any core system. Any brand.
Nothing in AF-X assumes a particular core system or manufacturer. Data is normalised on the way in, so a mixed estate can work to one standard without a migration.
Explore System & Brand Agnostic →Principle 07 of 07
Land & Expand
Start with one product. Expand when it pays.
Land with one product that fixes something measurable, expand into the products next to it, then take the platform. Nobody is asked to buy a platform on day one.
Explore Land & Expand →Put AI into the workflows you already run.
See where AI can improve your operation without replacing what already works.
