Your company runs on someone's laptop.
We give it one shared, live record — without the data entry.
Orders, schedules, and quality issues hide in chats, inboxes, and handwritten notes. Kaizodyn's AI turns them into one live, shared record — then uses it to craft the response and the next step. Nobody changes how they work.
Runs entirely on your own server. Your data never leaves the building.
Meeting ended. I found 3 updates and 1 hidden workflow:
Born on a real factory floor
We built the bespoke version first — for a live automotive manufacturing operation.
Every transformation project dies the same way: data entry
Your team already communicates everything — in team chats, email threads, Excel files, and notebooks. The information exists. It just has no single, current, shared home, so every morning starts with scrolling and chasing.
Action items buried in chat groups and meeting talk. Assigned verbally, remembered by nobody, discovered at the deadline.
Recurring workflows — order intake, inspections, approvals — living in DMs, handwritten notes, and spreadsheets on one person's computer: unshared, unbacked-up, invisible to every system you've ever bought.
Days of lag between what actually happened on the floor and what any report says. So leadership decides on fiction.
Whether you have no systems — or too many
Most factories sit somewhere between two extremes of the same disease. The root cause is identical: tools that don't quite fit, no source-of-truth discipline, and project management that depends on who happens to be running it.
Factories that run on chat and email
Everything runs through group chats and inboxes. No PM tool, no record system. We install the first system of record — and keep it true from day one, fed by the conversations the team already has.
Factories with systems that don't talk
Off-the-shelf and custom MES, ERP, and CRM — plus chat and email — none integrated, none fully trusted, each a partial fit. We keep each system true and federate them, so your data finally has one address.
This is whole-company digital transformation: we ship source-of-truth discipline and PM competency as software — earned through your team's own accept-rates, never mandated through training decks.
Nobody changes how they work. That's the whole trick.
Your team keeps reporting the way they always have — a message, a photo, a voice note. Kaizodyn does the rest, and earns more autonomy only as your team's own accept-rate proves it.
Connect
Team chat, email, shared folders — and the MES/ERP/CRM you already own. Read-only at first; 90 days of history builds your baseline.
Listen
Two weeks of shadow mode. The AI proposes, writes nothing, and must hit 90%+ precision on your data.
Confirm
After meetings and threads, one-tap proposal cards — every change carries its evidence quote, everything undoable.
Digitize
Recurring processes found in chat and spreadsheets get installed as simple tracked records — one at a time, never a big-bang.
Pulse
Management's real-time handle on the company's pulse: what changed, what's stuck, what needs a decision — every claim linked to its source.
Trust is the architecture: on-prem appliance — data never leaves your building · local AI models · consented, visible chat archiving · team-level metrics only, no individual surveillance · every AI write evidenced and reversible for 7 days.
Digital records replace manual work — and insight becomes automatic
Every confirmed update becomes structured production data. Once the record is digital and current, analysis no longer waits for someone to compile a spreadsheet — it runs continuously.
Recording stops being a job
No retyping into Excel, no paper travelers, no end-of-shift memory dumps. The record is captured from the messages, photos, and voice notes your team already sends.
Patterns surface on their own
Where orders stall, which handoffs slip, what drives rework and delay — the system spots it in the data and shows you the evidence, no analyst required.
The process actually improves
Bottlenecks and quality drivers turn into concrete improvement suggestions you can act on — and you watch the effect in the same record.
Whole-company digital transformation
This isn't a point tool for the factory floor. The same data core runs program management, operations, and the production line — so R&D, the office, and the floor finally work from the same data.
Program management & R&D
Projects, milestones, tickets, and reviews that link engineering changes to production reality — program status reflects the floor, and design decisions actually reach the line.
Operations & delivery
Orders, schedules, handoffs, and management's brief — the coordination layer between departments, where most data goes missing today.
Production line
Machine telemetry, OEE, SPC, scheduling, and automation via Kaizodyn layer — proven in a live automotive operation.
A virtual COO at management's side
Everything above builds toward one thing: an AI executive assistant that helps you make better decisions — about how the company runs, and about how the line runs. It recommends with evidence; you approve. It never acts on its own.
Executive judgment stays human. The virtual COO brings the evidence, the options, and the follow-through — and tells you when its own data is too stale to trust.
The questions everyone asks
How is this different from ClickUp, Asana, or Monday?
Those are destinations — they only help if your team migrates its work into them and keeps typing updates, which is exactly what fails in a factory. Kaizodyn is the layer that does the typing. Your team keeps working in chat and email; the AI maintains the record and proves every entry with the message it came from. We include a simple tracked record store, but the product is the scribe, not the dashboard.
We tried ERP / MES before and it died. Why is this different?
It died because it demanded data entry from people who have a factory to run. We never ask anyone to change how they work — the AI does the entry, your team just confirms with one tap. Processes get digitized one at a time, pulled by evidence from your own history, never pushed by mandate.
Does our data leave the factory?
No. The whole platform — including the AI models — runs on a server inside your building. We can demo it with the network cable visibly unplugged. Chat archiving is consented and announced to employees; metrics are team-level only, never individual rankings.
What if the AI writes something wrong?
It starts in shadow mode: two weeks of proposing without writing anything, measured against your team's accepts until it clears a 90% precision bar. After that it earns autonomy field by field from your own acceptance data — and every write carries its evidence and stays reversible for 7 days.
Is this a custom integration project for every site?
No — the install is identical at every site: connect, backfill, shadow mode, earned writes, brief. What varies per site is configuration, never code. We built the bespoke version once, for an automotive plant; Kaizodyn is the productized core of what we learned.
Sound like your factory?
We work hands-on with a small number of manufacturers at a time, on their own floors. If your mornings start with scrolling and chasing, tell us about your messiest process — we'd genuinely like to hear it.
Tell us your messiest process