Proof of value
Prove AI can create value in the physical value chain.
Give us one workflow and a small data sample. We build it, review it with your team, and test it live.
Not ready for a call? Start with the Operations Assessment. A few questions about your operation, no call required.
One workflow
Start with the hardest one
Your data
Use a small representative extract
One measure
Agree on what would prove value
What we prove
Not whether AI is interesting. Whether it changes the work.
A useful proof of value is close enough to production that the result can be trusted. We do not stop at discovery, prompts, or a sandbox demo. We put myai against a real workflow, with real users, real systems, and a business reason to keep going.
The proof is the evidence: less manual chasing, clearer decisions, better handoffs, preserved expertise, or a workflow that reaches a measurable operating KPI.
Proof in practice
A PE-backed aerospace and defense supplier ran this across operations, finance, and estimating.
8 hrs -> 15 min
Monthly operating review prep
~20 hrs / week
Estimating work automated
1-2 weeks -> real-time
Delivery reporting lag
How it works
Discovery. Working proof. Show-back. Proof of value.
Discovery
We start with one hard workflow and the people closest to it. Together we name the systems involved and the business result worth measuring.
- Learn how the work runs today
- Trace the systems, spreadsheets, and decisions involved
- Choose the measure that would make a proof useful
Working proof
When there is a fit, we put an NDA in place and use a small, representative data extract to build something real.
- Agree on the smallest useful data set
- Build a focused app, agent, or workflow
- Keep the expert and the source data in the loop
Show-back
We walk your team through working software built on your data. The people who know the work test it, change it, and decide whether it is worth running live.
- Test the output against expert judgment
- Refine the interface, rules, and workflow together
- Define the narrowest useful production scope
Proof of value
If your team wants to test it live, we run a focused version in production and measure whether it changes the work.
- Connect the live systems the workflow requires
- Run it with the people who own the work
- Measure the time, cost, margin, or operating impact
Where it lands
Focused on the physical value chain, engineer to deliver.
The proof of value starts where operational decisions turn into margin, throughput, cash, quality, or customer commitments.
01
Engineer
Part metadata, change requests, design intent, and tribal engineering knowledge.
02
Plan
Demand/supply balancing, scenario analysis, S&OP artifacts, and planning rationale.
03
Source
Supplier follow-up, shortage management, lead-time risk, and procurement exceptions.
04
Make
Production traceability, NCR management, quality reviews, and root cause analysis.
05
Deliver
Fulfillment handoffs, customer commitments, status visibility, and cross-system follow-through.
What you get
A working proof, plus the decision packet behind it.
The output is not just software and not just a report. It is a focused production proof with enough evidence to decide whether to expand.
Why this is controlled
Test one workflow without committing to a full rollout.
Bounded scope
The proof of value is narrow enough to ship, but close enough to production that the result means something.
Real users
We work with the operators, planners, engineers, and managers who already own the workflow.
Production evidence
The goal is not a sandbox demo. The goal is evidence that a workflow can create value in the business.
Governed rollout
Access, traceability, and human review stay visible so the pilot can survive IT and leadership scrutiny.
Measure whether the workflow saved time or money.
At the end of the engagement, the question is simple: did the work create enough operational value to justify the next step? If yes, we know where to expand. If not, the proof did its job and prevented a bigger bet on the wrong thing.