Fix it on the first visit, with the right part.
AI assistants that put manuals, service history and parts data in front of your technicians and parts counter, sort incoming service requests, and take the warranty paperwork off their hands.
Book a demo- Live in four weeks, on your service, parts and ERP systems
- What your senior technicians know, on every shift
- Hosted where you choose, including fully on-premise
Book a proof of concept
Two hours with your leadership to start. A working agent on your data in four weeks.
$7bn a year in shop and parts revenue lost by US equipment dealers for lack of technicians.
AED Foundation, 202677% vs 88% first-time fix: the median service organisation against the best.
Aquant, 202625% of service cost goes on visits that did not fix the problem.
Aquant, 20261 in 5 service cases could be resolved without sending a technician.
Aquant, 2026What changes in the workshop.
- Faster diagnosis
- The right manual page, the service bulletin and the fixes that worked before are in front of the technician in seconds.
- The right part, first time
- Parts are identified from a description, a serial number or a photo, checked for stock and ordered before the visit.
- Knowledge that stays
- What your senior technicians know is captured from their repairs and available to every shift and every new hire.
Five workflows we deploy for equipment dealers and service teams.
Each is a named workflow with an owner and a target, not a general assistant.
Workshop
Technician decision support
Takes the reported fault and the machine’s serial number and returns the likely causes, the procedure and the fixes that worked on the same model, from your manuals, bulletins and service history.
first-time fix rate at the median service organisation; the best reach 88%
Aquant, 2026
of technicians call a colleague when they need help
Service Council, 2021
Parts
Parts identification and ordering
Identifies the part from a description, a serial number or a photo, checks supersessions and stock across your branches, and prepares the quote or the order.
of technicians say it is easy to know which parts a job will need
Service Council, 2021
and two extra visits added when the first visit does not fix the fault
Aquant, 2025
Service desk
Service request intake and dispatch
Takes service requests by phone, WhatsApp and email, asks the questions a senior coordinator would, resolves what can be fixed remotely, and sends the rest to the right technician with the parts list.
service cases could be resolved remotely
Aquant, 2026
of on-site service visits are unnecessary
Aquant, 2025
Back office
Warranty claim preparation
Builds each warranty claim from the job: the fault, the labour, the parts and the photos, checked against the manufacturer’s policy before it is submitted.
of sales paid out in warranty claims by US truck, bus and heavy-equipment makers
Warranty Week, 2026
paid in warranty claims by heavy-equipment makers worldwide in a year
Warranty Week, 2024
Training
Getting new technicians productive
Answers a new technician’s questions from your manuals, bulletins and past repairs, so they are not waiting for a senior colleague to be free.
technicians short each year at US equipment dealers
AED Foundation, 2026
of tenure with an AI assistant matched six months without, among support agents
NBER, 2023
The figures are published research and industry benchmarks, not results from our own deployments. The Aquant and Service Council figures cover field service across industries, not heavy equipment alone. Sources:
- AED Foundation, Technician Shortage Research Report (2026)
- Aquant, Field Service KPI Benchmark Report (2026)
- Aquant, Field Service Benchmark Report (2025)
- Service Council, Voice of the Field Service Engineer (2021)
- Warranty Week, U.S. Truck & Bus Warranty Expenses (2026)
- Warranty Week, Worldwide Heavy Equipment Warranty Report (2024)
- NBER, Measuring the Productivity Impact of Generative AI (2023)
Proof: IKEA.
Not heavy equipment, but the same path: from answering questions out of a knowledge base to an agent that acts across 40+ tools, in four weeks.
- 1Explore
- A chatbot answering frequently asked questions from a knowledge base.
- 1 week
- 2Deploy
- Customer identification and integration with 40+ tools: the agent acts on the customer’s behalf, from returns to cancellations.
- 2 weeks
- 3Expand into voice
- The same skills extended to voice, proving the platform is not bound to one channel.
- 1 week
live from kickoff
resolved without a person in the loop, on beta
The platform underneath.
- Inside your systems
- Assistants read your manuals, bulletins and parts catalogues, and act in your service, parts and ERP systems. We connect them during deployment.
- One company context
- Machines, service history, parts and repairs in one governed layer, so every branch answers from the same record.
- Governed by you
- Access follows your SSO, sensitive actions wait for a person, personal data is masked before any model call, and every step is logged.
- Any model, hosted where you choose
- Frontier, open-weight or on-premise models, in our cloud, your cloud or on your own hardware.
Live in four weeks.
Our engineers and a product lead work inside your environment until the first workflow pays, then hand it to your teams.
- Two hours with your leadership
- We map where agents pay in your business and agree the first workflow.
- A business case in ten days
- An opportunity map, the numbers for the first workflow, and a deployment proposal.
- A working agent in four weeks
- A technician assistant for one workshop, built on your own systems and data by our engineers, with your team alongside.
- Your team takes over
- Your people run what is live and build the next workflow; we review, then step back.
Questions from service and parts teams.
From your own manuals, service bulletins, parts catalogues and repair history. Each answer points to the page or record it came from.
Next step
Start with one workshop.
Two hours with your leadership. Ten days to a business case. Four weeks to a working agent on your data. No commitment.