Know who to call
Experience lives with a few experts. Progress depends on their availability and memory.
Field Decision Intelligence
Always available. Wherever service happens.
Expertise at the point of service
Service AdvisorIllustrative experience
“What should I check before replacing this part?”
One question. The relevant knowledge. A clear next step.
35%less time looking up information*
Right fixHelp improve first-time fix rates
More capacityImprove technician productivity and utilization
Better marginsReduce avoidable rework and repeat visits
*Target reduction in information lookup time, to be validated against your baseline. This is not a measured customer result, a Gartner benchmark, or a 35% reduction in total job time. Outcomes depend on data quality, workflow integration, and adoption.
From knowledge to action
The job hasn’t changed.
Access to expertise has.
Technicians need to understand the problem, choose the right repair, and finish the job. AI brings the knowledge for those decisions into the flow of work.
Find the information
Manuals and portals preserve knowledge. Technicians still assemble the answer across sources.
Know what to do
Connect the symptom, equipment, and service history to relevant procedures and parts.
Act. Verify. Improve.
Connect guidance to service actions, confirm the outcome, and reuse validated learning.
Service Advisor
Ask naturally.
Get a clear next step.
Give every technician access to complex service knowledge in the language, channel, and format that fits the job.
Type the question
Describe a symptom or fault code. Get precise, source-grounded guidance for the equipment in front of you.
Show the problem
Use images of equipment, components, or documents to add context and help identify the right information.
Speak in your language
Ask by voice and use multilingual guidance across web, mobile, messaging, and connected service workflows.
Service AdvisorILLUSTRATIVE SCENARIO
Industrial equipment · Service visit
“The machine keeps stopping. Where do I start?”
Start with the right context.
Build a diagnostic path from the actual equipment and symptom.
- Confirm the model, serial number, and reported fault.
- Surface the applicable diagnostic procedure and service bulletin.
- Use findings to narrow the cause; escalate when evidence is insufficient.
Evidence to surface: diagnostic guide · service history · current bulletin
Make the repair clear.
Bring the relevant procedure and verification steps together.
- Match the procedure to the model and configuration.
- Show required qualifications, tools, and OEM safety instructions.
- Guide completion checks and capture the repair outcome.
Evidence to surface: approved repair procedure · revision · verification checklist
Identify the part that fits.
Connect diagnosis to the applicable parts information.
- Find the component in the equipment’s parts catalog.
- Check fitment, serial applicability, and supersession information.
- Hand off to Parts Advisor and connected systems for availability or ordering.
Evidence to surface: parts catalog · applicability · approved supersessions
Conceptual demonstration, not a live product session or equipment repair instruction.
Knowledge Miner + Service Knowledge Graph
Turn scattered expertise
into knowledge everyone can use.
Bring together published documentation and the practical knowledge inside resolved cases, emails, calls, and technician notes. Preserve the context that makes an answer useful.
DITA / XMLPDF manualsTechnical bulletinsParts catalogsWebsites & portalsCases & repair ordersEmails & call transcripts
Capture expertise
Knowledge Miner identifies reusable fixes and answers from service interactions.
Validate & curate
Review new knowledge, resolve conflicts, and retain owners, revisions, permissions, and sources.
Apply context
Link models, symptoms, procedures, parts, and prior resolutions in the Service Knowledge Graph.
Put it to work
Deliver relevant answers and next steps to technicians, dealers, and technical support.
↶ Learn from the job Outcome + technician feedback → expert validation → better future guidance
Work with existing formats. DITA content can preserve topic structure and applicability; PDFs and web content bring established service knowledge into the same experience.
Explore Knowledge Miner →A complete knowledge lifecycle
Knowledge needs to stay useful
after the first answer.
Pair AI access with the ownership, content quality, and feedback that enterprise service requires.
| Capability | Why it matters in service | The Circuitry.ai approach |
|---|---|---|
| Capture practical expertise | Successful fixes often stay in a case, a call, or an expert’s inbox. | Mine resolved interactions for reusable knowledge candidates, linked to their original evidence. |
| Organize for the equipment | A useful answer for one model or serial range may be wrong for another. | Connect knowledge to product, symptom, part, procedure, and applicability metadata. |
| Retrieve in context | Technicians need the answer that applies to this job. | Use natural-language questions and equipment context to surface relevant guidance and sources. |
| Deliver in the workflow | Switching systems interrupts service and slows resolution. | Make Service Advisor available across web, mobile, voice, and integrated CRM or FSM experiences. |
| Maintain trust & control | Stale procedures, conflicting information, and unauthorized access undermine trust. | Use governed knowledge, source traceability, confidence controls, and expert review of exceptions. |
| Learn from outcomes | More searches or articles do not automatically mean better service. | Capture feedback and resolutions; evaluate answer quality and connect improvements to service KPIs. |
Connectors, permissions, languages, content formats, and approval workflows are scoped to your environment during solution design.
Why Circuitry.ai
Built for the complexity
of equipment service.
Deep service
domain knowledge
Bring product configuration, service procedures, parts, and warranty context into the same decision environment.
Accuracy you
can evaluate
Review source evidence, test real service questions, and route ambiguous or high-risk situations to qualified experts.
A focused path
to value
Start with one equipment family or service challenge. Connect priority sources and prove usefulness in the technician workflow.
ROI tied to
service outcomes
Measure lookup time, first-time fix, repeat visits, utilization, and cost per completed job before expanding.
Less searching. More servicing.
Put reclaimed time
back into the job.
Explore what a 35% reduction in information lookup time could mean for your team. Then validate the opportunity using your own jobs and service data.
Higher first-time fix ratesBetter technician productivityStronger service margins
Evaluate these outcomes separately. Reclaimed time creates capacity; actual utilization and financial value depend on how that capacity is used.
Your lookup-time opportunity
60 min
7,700
potential hours reclaimed / year
21 minutes per technician / day
Illustration at a fixed 35% lookup-time reduction target. Formula: technicians × working days × daily lookup minutes × 35% ÷ 60. This is a scenario, not a performance guarantee or cash-savings estimate.
Questions from service leaders
Make knowledge
work in your world.
Do we need to replace our CRM, FSM, or knowledge base?
Circuitry.ai can connect knowledge and equipment context to existing service workflows. Start with the systems and repositories your teams already use; define the connectors and permitted actions during implementation.
Can we use DITA, PDFs, and website content?
Yes. Ingest knowledge from multiple sources and formats, including structured DITA/XML, PDF documentation, and websites. Scope extraction quality, revisions, access, and equipment applicability with representative content before rollout.
How do you handle complex or uncertain answers?
Ground guidance in approved sources and relevant equipment context. Use confidence controls, supporting evidence, and human review for uncertain or high-risk decisions. Follow OEM safety procedures and involve qualified experts where required.
Can technicians use it across languages and channels?
Service Advisor supports multilingual and multimodal experiences across web, mobile, voice, and connected channels. Confirm the languages, devices, channels, and connectivity conditions required for your rollout. Always available access does not imply offline access.
How should we start and measure success?
Select a service challenge, an equipment family, and a technician group. Establish baseline lookup time, first-time fix, repeat visits, and answer quality. Validate on real questions and completed jobs, then expand when the results justify it.
Answer • Decide • Act.
Give every technician
the knowledge to
get it right.
See how Circuitry.ai Field Decision Intelligence connects your knowledge to the decisions that drive better service.
- Explore your priority diagnostic, repair, or parts use case.
- See how Service Advisor and Knowledge Miner work together.
- Define a focused pilot and the outcomes you want to prove.
For OEM service, warranty, technical services, and technical support leaders.
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