Understand the operation.
We work with you and the people doing the job. We follow the handoffs, examine real examples, and uncover why the work takes what it takes.
You leave with / A map of the process and its cost drivers
Industrial operationsLet’s talk
For industrial owners & operations leaders
Your costs grew.
Your processes
didn’t keep up.
Leon gets inside your business, finds the repeated work putting pressure on margins, and builds AI around it.
Understand the business. Prove one improvement. Build from there.
Built for the business behind the product
ManufacturingIndustrial distributionEquipment & field service
01 / The starting point
The opportunity is in
the details of your business.
The spreadsheet someone maintains after hours. The same information entered into three systems. The job that is finished, but still waiting on paperwork.
We get close to that work. We talk to your people, follow the process, and understand the constraints before deciding what to implement.
You bring the business problem.
We take responsibility for understanding it.
02 / Where we look
Follow the cost.
Find the repeated work.
The first project could sit in any part of your operation. These are examples of the work we investigate—not a fixed menu of tools.
Choose a part of your operation
Potential application / 01
The order book grows. So does the admin team.
The repeated work
Your people open attachments, look up products, and rekey the same details into your ERP.
What we could build
Prepare validated order drafts from incoming documents. Route missing details and uncertain matches to your team.
What we measure
Handling time per order · Rework · Backlog
Starting material: Sample orders, product records, business rules.
03 / What counts as success
An improvement
you can see in
the operation.
Before we build, we agree on what to measure. After we build, we compare it with the way the work happens today.
A
Lower cost to get the work done.
Less manual handling, overtime, or repeated effort per task.
B
More capacity in the team.
People can handle more work or focus on higher-value responsibilities.
C
Fewer expensive handoffs.
Less rework, fewer missing details, and shorter turnaround.
Time saved is capacity released. We only call it a cash saving when it reduces an actual cost.
04 / From inside knowledge to implementation
We learn it.
We build it. We run it.
A focused first project with a clear owner, a clear scope, and a result your team can evaluate.
Make the business case.
We choose one opportunity based on workload, feasibility, and value. Together, we establish the baseline and decide what success must look like.
You leave with / A scoped pilot with measurable acceptance criteria
Build. Test. Review.
We implement around your systems and business rules, then test on representative work with your team. Exceptions and approvals are part of the design.
You leave with / A working implementation your team can evaluate
Run it. Keep it useful.
Once accepted, we launch the workflow, monitor its operation, and support your team. We review the result against the original business case.
You leave with / An accountable partner after go-live
A good first conversation
You don’t need an AI roadmap.
You need a problem worth solving.
01A cost or backlog that is becoming hard to ignore.
02Repeated work and real examples we can examine.
03An owner or operations leader accountable for the result.
04A team willing to help test a better way of working.
Before we get to work
Practical questions.
We know costs are up. We don’t know where AI fits.
That is a sensible place to start. Bring the part of the operation that feels increasingly expensive or difficult to manage. We investigate the work first, then decide whether AI is an appropriate part of the solution.
Will we have to change our ERP or other systems?
Our starting point is your existing systems. We check integration options and data access before committing to a build. Any required process or system changes are discussed during scoping.
How do you prove that it makes a difference?
Before building, we agree on a baseline and acceptance criteria appropriate to the workflow. These may include time per task, rework, turnaround, and quality. We distinguish capacity released from cash savings you can actually realize.
How much of our team’s time will this take?
We need a sponsor who owns the business outcome and access to the people who understand the work. We agree on interviews, sample preparation, and review sessions before starting so your team knows what is expected.
What if the pilot does not meet the criteria?
We review the gaps with you and agree on the next steps before rollout. The acceptance and review process is defined before work begins. A pilot is there to establish whether the workflow is ready for production.
What happens to sensitive information and approvals?
Access requirements, data handling, and approval boundaries are agreed during discovery. We scope the data needed for the workflow and define which decisions stay with your team before implementation.
Your next operational improvement
What is costing
more than it should?
Let’s understand the work behind it—and whether a focused AI implementation can make a meaningful difference.
Bring one issue to the conversation
Where costs are rising.
What your team repeats.
The systems you work in.
Discuss your operation What your team repeats.
The systems you work in.
Opens an email to hello@hireleon.com