01 · Workflow
Explain margin beyond a single system.
- What the expert knows
- Actual operator hours reveal what routed standards miss.
- What myai connects
- ERP standards + operator records + margin logic
- What the team gets
- Explain the variance and act.
AI that reflects your people
Most AI agents start with the model.We start with the person.
myai is an operations platform. It connects what your best people know with the data in your systems, then turns it into apps, agents, and workflows.
Earned in the work
Your wisdom was earned through grit.
Experienced planners know when the system is wrong. That judgment is what a new team member does not have yet.
How it works
Start with how the work actually gets done.
Your people show myai what matters, what they check, and how they make the call. myai carries that into apps, agents, and workflows the team uses.
Your people and systems
Decisions · Records · Tools
What the team knows
What matters · What to check · What to do
What myai builds
Apps · Agents · Workflows
- 01
People
Who knows this work best?
Planners, operators, engineers, and finance teams teach myai how they read and decide.
- 02
Systems
What do they look at?
myai connects their judgment with system records, tools, and prior work.
- 03
Software
Where should it show up?
Apps, agents, and workflows put that knowledge where the team already works.
What that becomes
Turn what your people know into software the team can use.
Each tool combines the system record with what your team knows.
02 · App
Put the decision where the work happens.
- What the expert knows
- The planner knows which constraints change the commitment.
- What myai connects
- ERP releases + routing logic + planner updates
- What the team gets
- Commit the ship plan where the decision is made.
03 · Analysis
Turn a question into a repeatable analysis.
- What the expert knows
- Network choices depend on operating assumptions, not mileage alone.
- What myai connects
- Shipment history + scenario rules + current demand
- What the team gets
- Reuse the same logic in an app, agent, or workflow.
In the operation
The second site reused what the first site built.
At a multi-site aerospace and defense manufacturer, people at the first site turned what they knew into working tools. The second site started with that shared context instead of rebuilding from scratch.
- Monthly operating review preparation
- 8 hours15 minutes
Measured at the first site
- Shop-order release cycle
- 2 days2 hours
Reported by the second site
- Tooling demand triage
- 358 signals4 to review
Validated system output
What happens after you book
Use the first call to scope one workflow and how we would measure it.
The first call is a 30-minute working session. We learn how the work runs, what data exists, and what a useful first proof would look like.
See the proof-of-value process →01
Discovery
Bring the workflow and the people closest to it. We map the problem, systems, and measure that matters.
02
Working proof
When there is a fit, we put an NDA in place and use a small data extract to build a focused app, agent, or workflow.
03
Show-back
We demo the apps, agents, and workflows back to your team on your data, then refine them together.
04
Proof of value
If the working example holds up, we run it in production and measure the time, cost, or operating impact.