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Give the paperwork and lookups to an AI assistant.

Too much of your team's day goes to drafting reports, digging through documents, and re-explaining things only one person knows. We build AI assistants that take on that legwork. They can also watch your systems, pull scattered data into dashboards, and connect the tools you already run. Each one is trained on your documents, your data, and the way you actually work.

Same as our vision work: it's a consulting engagement, scoped to one workflow at a time, with the metrics agreed before we build and your data kept under your control.

Talk to an engineer →See what we build ↓
What we build

Assistants for the work around the work

These are the jobs we're asked for most. Each one takes a repetitive, document-heavy task off your team, with a person still in the loop.

Quality documentation
CAPA / 8D drafting & audit prep
Draft corrective-action and 8D reports, complaint investigation packets, and audit prep from your own records, so a quality engineer edits instead of starting cold.
e.g. 8D drafted from the defect log, ready for review
Maintenance knowledge
Capture what your senior techs know
Turn manuals, notes, and the knowledge walking out the door into an assistant your whole team can ask. Answers come back with the source cited.
e.g. “How do I clear a jam on line 3?” → steps, citing the manual
Quoting & estimating
Draft quotes from RFQs & job history
Pull from RFQs, drawings, and past jobs so estimators start from a draft, not a blank page, and quotes go out faster.
e.g. A first-pass quote built from a new RFQ + similar past jobs
Supplier documents
Check incoming certs & test reports
Read certs, material test reports, and compliance docs as they arrive, check them against your requirements, and flag what's missing or off.
e.g. An MTR flagged for a spec that’s out of range
Operations answer desk
Plain-English answers from your systems
Let people ask questions of your ERP / MES data in plain English, so they stop pinging the one person who knows the query.
e.g. “What’s the on-hand for part 4471 across sites?”
Monitoring & alerts
Watch systems and flag what matters
Watch the metrics that matter (downtime, spend, yield, deadlines) and flag drift before it becomes a problem.
e.g. An alert when scrap on a line creeps past its threshold
Data analysis & dashboards
Turn scattered data into plain answers
Pull data from across your systems into summaries and dashboards people actually read, in plain English, refreshed on their own.
e.g. A weekly quality summary drawn from the defect log
Integrations
Connect the tools you already use
Move data between the platforms you already run (ERP, MES, spreadsheets, email) so nobody re-keys the same numbers by hand.
e.g. New orders flowing from email into your ERP automatically
This isn't the whole list.
If a chunk of your team's day is paperwork, lookups, or re-explaining, there's probably an assistant in it. Tell us where the time goes →
How an agent works

It drafts. Your team decides.

An agent isn't a black box that fires things off on its own. It pulls from your own sources, does the first pass, and hands a draft to a person to check and approve. Every time.

trigger
Something comes in
An RFQ, a logged defect, a supplier doc, or a question from the floor.
agent
The agent does the legwork
Reads the request, pulls the relevant records, and drafts the output.
draft
A draft, with sources
A quote, an 8D, or an answer, with citations back to where it came from.
review
Your team approves
A person checks it, edits if needed, and sends. Nothing goes out on its own.
grounded in your own sources
Your documents & drivesERP / MESPast jobs & quotesManuals & SOPsEmail
Your data

Your data stays yours

The first question every plant asks is where their documents and data end up. The answer is: under your control. We design for private deployment and set the guardrails with you before anything is connected.

Private by design
Deployed in your environment or a private cloud you approve. Not a shared consumer tool.
Not used to train public models
Your documents and data stay yours; they don't feed anyone else's model.
Grounded and cited
Answers point back to the document or record they came from, so your team can verify the work.
Metrics agreed up front
Before we build, we define what good looks like (accuracy, time saved, response time) and measure against it.
What an engagement looks like

The same de-risked ladder

One workflow at a time, each step a small fixed-scope commitment with its own go / no-go. You can stop at any point and keep what we've delivered, including the assessment.

0130 min
Free consultation
Tell us where the time goes. We give a read on whether an assistant is the right fit.
you get: a clear read + next step
02~2 wks, fixed
Workflow & data assessment
We map the workflow and your data, then come back with a scoped pilot plan and the time it should save.
you get: the assessment, yours to keep
03fixed scope
Pilot
One workflow in production, with success metrics agreed up front and a person in the loop.
you get: a working assistant + metrics
04ongoing
Deploy & support
Roll out, train your team, hand over documentation, and set a support plan. You own the system.
you get: docs, training & a system you own
A clear bar at every step. Before each one we agree what “working” means in numbers: time saved, error rate, response time. If the system can't hit them, we say so.
Where it pays

We start where the hours are

Same rule as our vision work: we go after the workflow eating the most time or causing the most rework first, so the first assistant pays for itself before you build the next. These are the levers we weigh:

Time back
Hours a week returned from drafting, formatting, and hunting through documents.
Fewer mistakes
Consistent documents with fewer missed fields: the errors that trigger rework, re-submittals, or audit findings.
Knowledge kept
Expertise stays in the building when a senior person retires, instead of walking out with them.
Faster response
Quotes, answers, and paperwork out in less time. Customers and auditors notice.
Questions we get a lot

FAQs

Not unless you want it to. We design for private deployment, in your own environment or a private cloud you approve, and your documents and data aren’t used to train anyone else’s models. Where a service is involved, we set that out plainly before anything is connected.
See all FAQs →
where is the time going?

Tell us the task eating the most hours.

Describe the workflow your team keeps redoing and we'll tell you whether an assistant can take it on and what it would save. Response within one business day.

Talk to an engineer →