AI consulting

Produce more with what you have.

We find the repetitive tasks in your company, automate them with AI and measure how much each role improved.

Starting point

Everything can be measured. Even what nobody measures today.

How long does it really take to cut a piece, put an order together or enter an invoice? Almost nobody knows until something logs it. That's why the first thing we do is start measuring.

Activity log · example

Task	Measured time
Cut a piece	4 min 12 s
Put an order together	11 min 40 s
Enter an invoice	2 min 05 s

01 · How we work

Four steps. Each one with a concrete result.

We come to your company, measure, automate and measure again. You can stop after any step and keep what we built.

Step 01 Survey

We come to you

We spend time at each role and talk with the people doing the work. We see how things really get done, not how the manual says.
- A walk-through, role by role
- Talks with whoever does each task
- A review of systems and spreadsheets
Result
A real picture of how work gets done today.
Step 02 Diagnostic

We measure every task

We log what gets done, how long it takes and how often it repeats. That tells us how each role and each person performs.
- Task and time logs
- Frequency and repetitions
- Productivity by role and person
Result
A map of repetitive tasks and what's worth automating first.
Step 03 Pilot

We automate

We start with whatever takes the most time or material. A small pilot first, with AI connected to the systems you already use.
- Prioritized by impact
- Integrated with your systems
- A focused, measurable pilot
Result
An improvement running in your operation.
Step 04 Follow-up

We measure again

A dashboard shows productivity before and after, every month. Whatever isn't paying off gets adjusted.
- Before / after dashboard
- Monthly updates
- Adjustments to what isn't working
Result
Real numbers to decide what's next.

02 · What we find

Almost every company loses on three fronts.

A · TimeRepetitive tasks

The same thing, by hand, every day.

Orders entered twice, spreadsheets copied into other spreadsheets, data moved from one system to another.

We automate it with AI.

B · MaterialWaste

What gets thrown out and nobody measures.

Offcuts, expired raw material, defective parts, stock that doesn't move.

We measure it and plan better with AI.

C · DataGut decisions

Nobody knows how each role performs.

The data is scattered or simply doesn't exist.

We leave a dashboard that updates itself.

03 · Example: waste

Less waste, whatever the material.

The problem: Every company that makes something loses something: offcuts, expired raw material, defective parts. Almost nobody knows how much.
What we do: We record what comes in, what goes out and what's left over. With that, AI suggests what to use first, how to cut and what to reuse.
How it's measured: A dashboard shows, month by month, how much is produced, how much is recovered and how much is lost.
Materials: Fabric, sheet metal, wood, glass, leather, paper and cardboard, plastic and food.

Material use · example

Metric	Unplanned	With AI
New sheets	3	2
Offcuts used	0	2
Waste	27%	6%

AI picks which new sheet or offcut each order comes from, to waste as little as possible.

Real cases

We have proven experience across industries. We'll show you the cases in the meeting or when we visit your company.

Ask to see the cases

04 · FAQ

What people always ask us.

How do you measure each employee's productivity?

We observe the work at each role, log tasks and times, and cross-check them with what your systems already record. The team knows what we measure and why.

Does my data need to be organized?

No. We work with whatever there is: a management system, spreadsheets, paper, or nothing at all.

Does my data end up training someone else's model?

Not if you don't want it to. When needed, we use open models running on a dedicated server, and your data stays there.

Next step

We'll come to your company and show you where the time goes.

Book a diagnostic

or email us at hola@pulse-labs.ai