Solution · On site, and inspection by camera

Take AI out of the office and put it to work on site

Work that needs a person's eyes on the same thing all day — checking for defects, counting stock in the warehouse, watching whether a machine has started to drift — is work people get wrong because they get tired, and AI does consistently. This bundle puts the cameras and phones you already have to work on site, while a person still decides every time the stakes are high.

Field job sheets that can be closed on site Camera-based defect checks that do not get tired by the afternoon Count from images instead of shutting the warehouse to count by hand Know a machine is heading for trouble before it stops Flag unsafe conditions on site, without turning into surveillance of people Ask the manual while standing at the machine

A free 30-minute call

Work in

On site, and inspection by camera+ human approval

To the customer

A person approves before it ever reaches the customer· drag to rotate

A fit if you…

Factories and production lines that inspect quality by eye, and still have defects reaching customers
Warehouses or shops where a stock count means half a day shut down, and the number still does not match the system
Businesses with teams out on site — installers, repair techs, field sales — whose reports come back late and incomplete

We usually start with

We usually start with Field Job Agent, because it runs on the phones the team already carries — no new cameras or hardware — shows results in 2–3 weeks, and builds up site photos the camera-based items can start from later. Camera inspection on a production line should always start at the single most painful point, never the whole factory at once. Start with a free 30-minute call.

This bundle has 6 agents. You don’t have to switch them all on at once — start with one, see the result, then add the rest one at a time.

item 1 / 6 · Field job sheets that can be closed on site

In use in 2–3 weeks

01 · Field Job Agent

Field job sheets that can be closed on site

In use in 2–3 weeks

Work arrivesThe team's phonesCustomer / system

The AI agent does itField Job AgentA job sheet on the phone that works on a weak signal and uploads when there is data

A person decidesApprove in one clickThe tech confirms the summary before it is sent, and any extra charges go through a supervisor's approval.

Resultdays down to oneTime from closing a job to being able to bill

Example: Field job sheets that can be closed on site

LIVE DEMO

1 · Work arrives

A tech goes out, then reports back as LINE messages and scattered photos. Turning that into a job sheet and an invoice takes days, and some jobs never get billed at all.

2 · The AI agent does it

A job sheet on the phone that works on a weak signal and uploads when there is data
An automatic job summary from the photos and what the tech selected
A warning while still on site when photos or details are missing
Straight into billing and the job schedule the moment the job is closed

3 · You just approve

The tech confirms the summary before it is sent, and any extra charges go through a supervisor's approval.

Approve in one click

Result

days down to one

Time from closing a job to being able to bill

The tech opens the job sheet on their phone, takes before and after photos, ticks what was done and closes the job. The agent writes the summary from the photos and the items ticked, sends it into the system straight away and opens the billing line. If photos are missing for that type of job it warns them while they are still on site, not once they are back at the office.

Connects to

The team's phonesLINEBilling / accounting systemGoogle Sheets

days down to one

Time from closing a job to being able to bill · From the work we have done, late reporting back is the main reason the collection cycle stretches out.

02 · Visual QC

Camera-based defect checks that do not get tired by the afternoon

One-point pilot 4–6 weeks (including collecting training images)

Work arrivesA camera at the inspection pointCustomer / system

The AI agent does itVisual QCOne camera inspection point, with thresholds you can adjust yourself

A person decidesApprove in one clickThe system never scraps anything itself. It pulls pieces out for a person to judge, and you set how strict it is for each customer.

Resultdown sharplyDefects reaching customers

Example: Camera-based defect checks that do not get tired by the afternoon

LIVE DEMO

1 · Work arrives

A QC inspector's standard in the morning and in the afternoon are not the same, because of fatigue. The same defects still reach customers, and when a customer claims you cannot prove what condition it left the factory in.

2 · The AI agent does it

One camera inspection point, with thresholds you can adjust yourself
Suspect pieces pulled out for a second human look, with the suspect area highlighted
An image kept for every piece, usable when defending a claim
A daily report on which defect types come up most, and from which shift

3 · You just approve

The system never scraps anything itself. It pulls pieces out for a person to judge, and you set how strict it is for each customer.

Approve in one click

Result

down sharply

Defects reaching customers

We put a camera on one inspection point first, then teach the system with the good and bad examples you already have. It checks every piece that passes and pulls the suspect ones out for a person to look at again, showing where in the image it is unsure. Every piece has an image on file ⇒ when a customer claims, you can go back and see how it left the factory.

Connects to

A camera at the inspection pointProduction system / MESGoogle Sheets

down sharply

Defects reaching customers · From the work we have done, it works best on defects that are visible and recur the same way — not on every kind of defect.

03 · Count from Photo

Count from images instead of shutting the warehouse to count by hand

Pilot 3–4 weeks

Work arrivesThe team's phonesCustomer / system

The AI agent does itCount from PhotoCounting from phone photos, no extra equipment needed

A person decidesApprove in one clickThe number from an image points you where to check. Adjusting stock in the system still needs a person to count and approve it.

Resultdown sharplyTime the warehouse is shut for counting

Example: Count from images instead of shutting the warehouse to count by hand

LIVE DEMO

1 · Work arrives

A stock count means stopping work for half a day with several people, and when it is done the number still does not match the system — and nobody knows where it went wrong.

2 · The AI agent does it

Counting from phone photos, no extra equipment needed
A list of locations where the numbers do not match, ranked by the value of the gap
Count history, showing when and where stock tends to go missing
A weekly cycle-count schedule instead of shutting the warehouse for a full count

3 · You just approve

The number from an image points you where to check. Adjusting stock in the system still needs a person to count and approve it.

Approve in one click

Result

down sharply

Time the warehouse is shut for counting

Staff walk the aisles photographing the shelves on a phone. The agent counts the boxes or units from the images, compares them with the system, and points only at the spots that do not match for a hand recount ⇒ instead of counting the whole warehouse, you count where there is a real problem.

Connects to

The team's phonesStock system / ERPData Hub

down sharply

Time the warehouse is shut for counting · From the work we have done, a mid-size warehouse was doing 2–4 full counts a year, half a day to a day each.

04 · Machine Watch

Know a machine is heading for trouble before it stops

2-week readiness assessment · 6–8 week pilot

Work arrivesMachine / PLC readingsCustomer / system

The AI agent does itMachine WatchAdvance warnings, with the reason and which values they came from

A person decidesApprove in one clickThe system never stops a machine itself. It puts the case to the techs and the line supervisor, who decide when to go in.

ResultreducedUnplanned line downtime

Example: Know a machine is heading for trouble before it stops

LIVE DEMO

1 · Work arrives

A machine failing mid-line costs the whole day — emergency repair bills, deliveries missed — and the tech says “it has been doing that for a while”, but nobody caught it in time.

2 · The AI agent does it

Advance warnings, with the reason and which values they came from
A maintenance schedule ordered by real risk, not only by the calendar
Every machine's symptom and repair history in one place
A monthly report on which machines cost the most line downtime

3 · You just approve

The system never stops a machine itself. It puts the case to the techs and the line supervisor, who decide when to go in.

Approve in one click

Result

reduced

Unplanned line downtime

The agent reads the values the machine already produces, such as cycle rate, temperature and pieces per hour, plus its repair history, and learns what the pattern before a failure looks like. When it sees that pattern again it warns the techs in advance, says what it is basing that on, and suggests a repair slot where it disrupts the least work.

Connects to

Machine / PLC readingsMaintenance historyLINE

reduced

Unplanned line downtime · How much depends on what values your machines expose ⇒ we assess that before starting and tell you whether it is worth it for your equipment.

05 · Site Safety Watch

Flag unsafe conditions on site, without turning into surveillance of people

One-point pilot 4–6 weeks (including notifying staff)

Work arrivesYour existing camerasCustomer / system

The AI agent does itSite Safety WatchWatching the risk points you choose, on thresholds agreed with your safety officer

A person decidesApprove in one clickCameras capturing people at work are personal data under PDPA — staff have to be told and signage put up clearly before it is switched on. We design it for safety, not for individual performance reviews, and we will not take work meant to catch people out.

Resultvisible from month oneRisk events caught before an accident

Example: Flag unsafe conditions on site, without turning into surveillance of people

LIVE DEMO

1 · Work arrives

The safety rules are all written down but nobody can enforce them. A supervisor cannot walk everywhere, and you find out someone entered a danger zone only once something has happened.

2 · The AI agent does it

Watching the risk points you choose, on thresholds agreed with your safety officer
Events sent to the supervisor immediately
Faces blurred at the source, with a deletion cycle you set
Monthly trend reports, for planning training and changing the site

3 · You just approve

Cameras capturing people at work are personal data under PDPA — staff have to be told and signage put up clearly before it is switched on. We design it for safety, not for individual performance reviews, and we will not take work meant to catch people out.

Approve in one click

Result

visible from month one

Risk events caught before an accident

Cameras at the risk points check things that can be measured clearly — a person entering a restricted zone while the machine is running, or missing protective equipment in an area that requires it — and alert the supervisor immediately as an event, not as an identified individual. Faces can be blurred at the source, and images are kept only as long as agreed.

Connects to

Your existing camerasLINESafety systems / safety officer

visible from month one

Risk events caught before an accident · The real measure is how many risk events were fixed in time, not how many people were caught out.

06 · SOP Assistant

Ask the manual while standing at the machine

In use in 3–4 weeks

Work arrivesYour existing manuals / SOPsCustomer / system

The AI agent does itSOP AssistantAsk by text, voice or photo, from a phone on site

A person decidesApprove in one clickSteps that affect safety or quality still have to be confirmed with a supervisor, under the factory's existing rules.

Resultclearly shorterTime before a new hire can work without asking an old hand

Example: Ask the manual while standing at the machine

LIVE DEMO

1 · Work arrives

A 200-page manual sits in a binder or a drive and nobody opens it while working. New staff ask the old hands every time, and when the old hands are away they guess.

2 · The AI agent does it

Ask by text, voice or photo, from a phone on site
Every answer cites the source page, so it can be checked
Says “I do not know” when the information is not there, and points to who to ask next
A report on which questions come up most, to improve the manual and the training

3 · You just approve

Steps that affect safety or quality still have to be confirmed with a supervisor, under the factory's existing rules.

Approve in one click

Result

clearly shorter

Time before a new hire can work without asking an old hand

Staff ask in plain language from their phone, or photograph the part or the machine plate and ask about that. The agent answers from your own manuals and company standards, citing which page of which document. When there is not enough information it says so plainly and tells them who to ask, instead of guessing.

Connects to

Your existing manuals / SOPsThe team's phonesLINE

clearly shorter

Time before a new hire can work without asking an old hand · From the work we have done, it takes load off the senior staff who were being interrupted all day.

FAQ about this bundle

Do we have to buy new cameras or equipment?

For several of these, no — Field Job Agent, Count from Photo and SOP Assistant run on the phones the team already carries. Visual QC and Site Safety Watch need a camera at that point, which many factories already have. We assess whether what you have is good enough before asking you to buy anything.

Cameras capturing staff — does that breach PDPA?

Images of staff at work are personal data ⇒ you have to state the purpose, put up clear signage, define who can access it and set a deletion cycle. We design all of that in from the start, and faces can be blurred at the source. Our position is that this is for safety and quality, not for individual performance reviews — work meant to catch people out we do not take.

Is AI really more accurate than a person?

Not at everything. But it is **more consistent** — the standard at the end of the day is the same as at the start ⇒ it works best on defects that are visible and recur the same way. Defects that need experience to judge still need a person, which is why we design it to pull pieces out for a second human look rather than decide instead of you.

We are a small factory with one line. Can we do this?

Yes, and you should always start at the single most painful point, small factory or large. Fitting the whole plant at once is a risk you do not need, and it usually makes the floor team push back.

Services used to set this up

Assess the whole business Build it, then hand it over

Work on site that still needs someone's eyes all day?

Take a free 30-minute call. We will help you see where it pays best to start, and where a person still does it better.

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Take AI out of the office and put it to work on site

A fit if you…

We usually start with

Field job sheets that can be closed on site

Camera-based defect checks that do not get tired by the afternoon

Count from images instead of shutting the warehouse to count by hand

Know a machine is heading for trouble before it stops

Flag unsafe conditions on site, without turning into surveillance of people

Ask the manual while standing at the machine

FAQ about this bundle

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