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Intelligence · exsto.ai
Intelligence inside the workflow.
exsto.ai uses context already present in the exsto platform to assist operational work — inside the workflows your teams already use, with no separate AI tool to move into.
- Work required
- Workshop capacity
- Technician availability
- Technician skills
AutoAllocate
Built in, not bolted on
No separate AI tool. Intelligence works inside the workflows teams already use.
exsto.ai operates inside exsto processes, using the workflow context relevant to the task. Teams do not leave the work to use it.
Context
Customer, vehicle and job
The work already recorded in exsto.
Workflow
Existing exsto process
Workshop planning, VIDEO1st and sales enquiries.
Intelligence
exsto.ai acts inside it
Applied at the relevant step.
Continues
Work moves forward
In the same workflow, for the same team.
Context in. Intelligence applied. Work moves forward.
Live capabilities
Intelligence embedded inside real exsto workflows.
Each capability works at a specific point in an existing exsto workflow — across Service and Sales — rather than in a separate AI tool.
Workflow · exsto.Service
Operational decisioning
AutoAllocate
Workflow · exsto.Service / VIDEO1st
Quality feedback
AutoReview
Workflow · exsto.Sales / Enquiries
Opportunity capture
Purchase Intent Detection
AutoAllocate
Work allocated from the context already in the workshop.
AutoAllocate uses four inputs — work required, workshop capacity, technician availability and technician skills — to allocate the job inside workshop planning.
- Work requiredAnnual service + MOT
- Workshop capacityBay 3 open
- Technician availabilityM. Patel · free 09:30
- Technician skillsMOT tester · service
AutoAllocate
Representative example. The four inputs are the inputs AutoAllocate uses.
Why it matters
Less checking. More consistent planning.
- Helps reduce manual planner intervention
- Uses capacity and technician context consistently
- Supports faster allocation of work
- Matches work against available skills
Before
Inputs checked by hand
The planner cross-references work, capacity, availability and skills.
AutoAllocate
Inputs converge
The same four inputs are used together, consistently.
After
Allocation in the plan
The allocation appears in the existing workflow.
AutoReview
Feedback on what the technician says.
AutoReview reviews the technician's spoken commentary in each VIDEO1st video and returns a score with feedback on the quality of the explanation.
Recording created
J. Carter · EXST 001
“Front brake pads are down to around 2mm…”
AutoReview
- Clarity90
- Detail80
- Customer explanation74
Illustrative website values — not customer results or benchmarks.
What is assessed
Review the explanation, not the image.
AutoReview analyses what the technician says in the VIDEO1st video — how clearly and fully the work is explained to the customer. It does not assess what the camera sees.
Technician commentary
“Front brake pads are down to around 2mm…”
Clarity
Feedback
Detail
Feedback
Customer explanation
Feedback
In the process
Assessment becomes useful feedback.
Scores and feedback sit with the VIDEO1st video, so technicians and managers can understand the quality of each explanation within the existing process.
01
VIDEO1st created
02
AutoReview
03
Score + feedback
04
Quality understood
Purchase Intent Detection
Genuine buying intent, captured as an enquiry.
exsto.ai can recognise genuine purchase intent within supported customer conversations and create a sales enquiry where one has not already been captured — helping ensure the opportunity reaches the Lead Inbox in exsto.Sales.
Inbound customer conversation
Purchase Intent Detection
Enquiry created
Lead Inbox
Not every conversation becomes an enquiry, and exsto.ai does not make the sales decision — the sales team owns what happens next.
One layer
Why exsto.ai is a layer, not a feature.
Structured operational context, human communication and customer conversation are different problems. All are served by the same Intelligence layer.
AutoAllocate
Structured operational context
Operational decision
Allocation
AutoReview
Human communication
Quality assessment
Score + feedback
Purchase Intent Detection
Customer conversation
Opportunity capture
Enquiry in Lead Inbox
One Intelligence layer behind all threeWhere it acts today
Inside exsto.Service and exsto.Sales.
The Intelligence layer is platform-wide architecture. Today’s live capabilities act inside exsto.Service and exsto.Sales workflows.
Platform architecture
A shared Intelligence layer.
exsto.ai is the shared Intelligence layer, with capabilities added into appropriate workflows as they are developed. Current examples include AutoAllocate, AutoReview and Purchase Intent Detection — spanning Service and Sales.
Separate jobs
Intelligence acts. Insights explains.
Acts inside workflows.
exsto.Insights
Dashboarding and reporting across connected exsto activity.
Your process
Intelligence supports the decision. The workflow remains yours.
exsto.ai assists operational work rather than replacing the retailer's process.
Dealer groups & OEMs
Intelligence that scales with the network.
Consistent workflows
The same intelligent workflows applied across sites, not left to individual habit.
Scalable standards
Shared operational standards that scale from one site to a network.
No separate AI tool to adopt
Intelligence embedded in existing processes, using shared platform context — not another tool for teams to learn.
See intelligence inside the workflow.
See AutoAllocate, AutoReview and Purchase Intent Detection working inside real exsto.Service and exsto.Sales journeys rather than in a separate AI tool.