Defect Intelligence
Every defect report, finally useful to every team.
- Running in production
- Your data stays yours
- Operationally cost-effective
- Live in 2-4 weeks
- Pays for itself within 6 months
From first assessment to live
Proven blocks, recomposed for this job
Sales to Service centres
The job, in plain language.
When something goes wrong with a vehicle, someone writes it up in a detailed report. (Carmakers call it a PCR, or a Field Investigation Report.) It tells the whole story of one failure: what the customer said, what the dealer saw, what the technician fixed, what was fine and what wasn't, the parts replaced, the photos, the sensor readings, the invoice, and the root cause.
A maker collects thousands of these a month, in Excel, PDF, and Word, across every model. The problem is that only the engineering and warranty teams ever open them. So sales walks into fleet meetings blind, marketing leans on year-old brochure lines, service centres solve the same complaint from scratch, and R&D never finds out whether the last fix actually worked. This agent reads every report and turns it into something all of those teams can use.
The answers that could win deals and prevent breakdowns are buried in reports nobody has time to read. For example:
- Which dealers truly understand a complaint, and which ones guess.
- How the best service centres fix a fault, versus the slow ones.
- Which parts fail, and under what load, terrain, climate, and use.
- Whether a fault was closed with a like-for-like part or a genuine upgrade.
- Which defects are quietly spreading into other parts.
- The shortest path from a new complaint to the right diagnosis.
Sales walks in without the story. Marketing claims reliability it can't back up. Service centres reinvent the wheel. R&D guesses.
What the agent does, step by step.
It reads everything, including the photos
Every field, note, fault code, invoice, and parts list, plus every image and sensor screenshot, all turned into a searchable description of the issue.
It connects the dots a person can't
It tags every fault by part, model, condition, fleet, and region; links each root cause to the part and its history; tells you whether the fix was an upgrade or just a replacement; spots faults cascading into other parts; and finds the fastest path to a proven fix.
Only confident numbers go on the slide
Every data point gets a trust score, and anything shaky is clearly labelled, so nobody puts a soft number in front of a customer.
Anyone can ask it questions in plain English
Like “what broke on this fleet last monsoon?” or “has the upgraded part actually closed the oil-leak issue?” Answers come back in seconds.
The payoff.
Every defect report, finally useful to every team.
Sales walks into fleet meetings with the real story. Marketing makes reliability claims that survive scrutiny. Service centres reach a proven fix faster. And R&D finally sees whether an upgrade worked, in the field, in numbers.
Adapt it to your workflowIt all runs on your own infrastructure, see how we keep it private.
One agent, value for every team.
Sales
Walks in with the story for every vehicle, plus an early warning list of fleets heading for trouble.
Marketing
Reliability claims that trace back to a real root-cause analysis.
R&D and reliability
Faults ranked by part and condition, and clear proof of whether a fix worked.
Service centres
Ask any past report and get the answer the best dealers already found.
From one shared agent
Why it gets adopted
It doesn't change how anyone writes their reports. It just makes sense of them.
Made from proven, reusable parts.
Every agent is composed from the same building blocks. That's why the next one costs less than the last.
Private, cost-effective at scale, and deterministic.
Private
Reads reports, photos, and sensor data on your servers; field-failure and design IP never leaves.
Operationally cost-effective at scale
One read serves every team, with cost ~flat across huge report volumes.
Deterministic & controlled
Every data point is trust-scored and tied to its source report, so no soft number reaches a customer-facing slide.
Same agent, your version of the job.
No two construction & manufacturing workflows are identical. Different systems, languages, document formats, an extra step.
Adapt this agent
Live tool · try itDescribe your version of the Defect Intelligence workflow.
Tell us what's different in plain English: your systems, your formats, the steps you'd add. We'll recompose the building blocks around it, answer your questions, and you can send the whole thread to our team to scope for real.
- 01Type the job in plain English
- 02See the blocks and the build plan
- 03Send the thread to our team
The questions buyers ask first.
It works from a fixed set of steps you agree on, the same way every time, so it doesn't improvise or invent answers. Every answer it gives points back to the exact document and line it came from, so you can always check the source for yourself. When something falls outside the rules you set, or it isn't sure, it doesn't guess. It stops and passes the case to a person to decide.
The agent fits the tools and steps your team already uses, takes over the repetitive work, and routes exceptions to a person. So it removes effort instead of adding another system to learn.
Tell us the workflow. There's a good chance we can build it from capability-agents we've already proven elsewhere, which is faster and cheaper than starting from scratch.
Already in production at a vehicle maker.
Commercial vehicles.
Each one is already in production.
See how this agent could automate your workflow.
Start with a short assessment. We'll look at one workflow and tell you honestly whether it's a good fit.