AI voice companion + RAG knowledge base for field service

Give every technician the right answer at the job.

Field Ops Assistant connects CRM, FSM, service reports, manuals, and technical documents into one AI knowledge base — then delivers job-specific voice briefings before the job, source-backed answers on-site, and automated service reports after the job.

Before the job A hands-free voice briefing explains the ticket, asset history, relevant documents, and first checks.
During the job Technicians ask by fault code, symptom, component, asset, or customer context and get source-backed answers.
After the job Spoken notes become structured reports and reusable knowledge for the next technician.
Service technician in front of an industrial machine with a digital AI briefing
Voice Briefing · Lift System A42Ready
01Listen: ticket summary, asset history, and previous repair actions.
02Ask: fault-code and symptom questions with cited source material.
03Report: dictate the outcome and update the knowledge base.

The technician is on the way — but the knowledge is still spread across five systems.

Technical service teams already have the data they need. The problem is that it is scattered across CRM, FSM, PDFs, drawings, DMS, tickets, attachments, service reports, and expert knowledge.

Before the job

Technicians often lack the customer context, asset history, previous repair attempts, and relevant documents before they arrive on-site.

During the job

Search results are too generic. Technicians need short, source-backed answers tailored to the current asset, fault, site, and service history.

After the job

Valuable findings are buried in free-text reports instead of becoming structured knowledge for the next technician facing a similar issue.

Built for technical aftersales teams with 10+ service technicians.

Ideal for industrial OEMs, machinery companies, and automation providers that want to deliver premium service while reducing search effort, documentation effort, and onboarding time.

Buyer

Service / aftermarket leadership & service operations

They buy when service quality, technician productivity, and knowledge reuse need to improve measurably — without replacing the CRM, FSM, ticketing, or documentation systems that already run the business.

  • Technical aftersales and maintenance organizations with more than 10 technicians
  • Knowledge spread across CRM, FSM, DMS, PDFs, service reports, and expert teams
  • Pressure to improve service quality despite complex machines and skilled-worker shortages
User

Field service technicians

They use Field Ops Assistant before, during, and after the job — to understand the asset, find the right answer faster, and document work with less typing.

  • Voice briefing with ticket, asset, service history, and relevant documents
  • Contextual Q&A by fault code, symptom, component, customer site, or asset
  • Voice-to-report documentation that feeds the knowledge base
Field Ops Assistant dashboard with job briefing, history, and diagnostic recommendations
Product core

The knowledge layer above your service systems.

Field Ops Assistant does not replace CRM, FSM, ticketing, or documentation tools. It connects their data into a RAG-based service knowledge base and turns it into practical technician workflows.

1

Connect existing sources

CRM/FSM tickets, service reports, manuals, schematics, drawings, PDFs, DMS content, customer data, and asset history become one searchable service brain.

2

Generate job-specific context

The assistant uses the current ticket, asset, customer site, fault pattern, and past cases to create short answers and relevant briefings.

3

Close the knowledge loop

Completed jobs and dictated reports become structured service knowledge that improves the next briefing and the next troubleshooting answer.

Support technicians before, during, and after every service job.

Field Ops Assistant gives technicians the right context before the visit, source-backed guidance during troubleshooting, and structured documentation after the job.

AI-generated job readiness pack for field service technicians

01 · Pre-job voice briefing

On the way to the customer, the technician can listen to a short briefing: what happened, what was done last time, which documents matter, and what to check first.

Technician uses contextual AI search during troubleshooting

02 · Source-backed on-site assistance

During troubleshooting, technicians ask by fault code, symptom, component, or asset. The assistant returns relevant document sections, similar cases, and recommended checks in the context of the current job.

Technician dictates a report that becomes structured service knowledge

03 · Voice-to-report documentation

After the job, the technician dictates the outcome. Field Ops Assistant creates a structured service record with actions, cause, parts, and result — and stores it as reusable knowledge.

Make technician productivity measurable.

Pilots validate the actual impact on preparation time, search time, documentation effort, diagnostic time, and knowledge reuse.

10%Productivity uplift to validate in the pilot
€294Estimated monthly value per technician at 10% uplift
6–8 weeksPilot window to measure impact before scaling
Integration principle

No new silo: systems of record stay in place.

Field Ops Assistant is the intelligence and knowledge layer above existing tools. CRM, FSM, ticketing, DMS, diagnostics, and inventory remain the leading systems for work orders, status, SLAs, documents, parts, and machine data.

Field Ops Assistant
AI Knowledge Base + Context Layer
CRM
FSM / Ticketing
Inventory
Diagnostics
DMS / Manuals

More than AI chat over manuals.

The value is not a generic chatbot. It is job-specific service context, trustworthy source-backed answers, and a learning loop that improves after every completed job.

Job context, not generic answers

Answers are grounded in the current ticket, asset, customer site, service history, fault pattern, and approved documentation.

Source-backed knowledge

Answers are based on approved knowledge sources and service history, with source references so technicians can verify critical information.

Learning loop after every job

Dictated reports, outcomes, parts, causes, and fixes become structured knowledge that improves future briefings and troubleshooting flows.

Pricing for every service team size.

Every package combines a yearly platform fee for integrations, indexing, and governance with monthly technician seats for active field users.

Mid-Market

For growing service organizations with more regions, roles, and source systems.

€79 / technician / month

+ €90k yearly platform fee

  • 101–500 active technician seats
  • CRM/FSM, DMS, service reports, and technical documents
  • Multi-region rollout support and knowledge governance

Enterprise

For larger organizations with multiple regions, governance needs, and system complexity.

€59 / technician / month

+ €480k yearly platform fee

  • 501–1,000 active technician seats
  • Advanced permissions, governance, integrations, and rollout support
  • Enterprise rollout planning, success management, and change support

Large Enterprise

For global or very large service organizations with custom rollout, procurement, and governance requirements.

Pricing on request

Custom yearly platform, seat, or site/region model

  • 1,001+ active technician seats
  • Custom regions, sites, SSO, data governance, and support model
  • Hybrid or fixed licensing available for predictable procurement
Pilot in 6–8 weeks

Validate the productivity uplift with one service team.

Start with 10 technicians, one high-frequency fault family, and 2–3 high-value knowledge sources. Measure preparation time, search time, documentation effort, diagnostic time, and knowledge reuse before scaling.