AI for mid-market companies, in production.
Mid-market companies have the appetite for AI. What they lack is a path from pilot to production that does not need an enterprise budget or a year of approvals. We build one workflow at a time, in two weeks, and you pay only when it works.
Not sure yet? Find your first build in three taps.
The gap is execution, not interest
RSM's 2025 survey of 966 mid-market executives found generative AI adoption at 91 percent, yet only 25 percent of firms have it fully integrated into core operations. The National Center for the Middle Market reports AI now takes 28 percent of the incremental mid-market investment dollar.
MIT research covering 300 public deployments found that 95 percent of corporate generative AI pilots produce no measurable profit-and-loss impact. In the same data, tools from specialized vendors reached deployment about twice as often as internal builds.
Why mid-market companies can move faster
Across more than 200 production deployments since 2014, the strongest predictor of reaching production has not been budget or model choice. It has been how few people can veto the build. Mid-market companies usually have short approval chains, a leader who owns the outcome, and data in a handful of systems. That is an advantage, if the delivery model is built for it.
How a first build runs
One workflow, scoped tightly enough to sign criteria for:
- Day 1: acceptance criteria written with you and signed
- Days 2 to 13: built inside your tenant, tested on your data
- Day 14: criteria run together; $10,000 due only if all pass
Your work goes in. It comes out passed.
- Day 1
Scope it and sign.
You tell us the workflow. We write the acceptance criteria it has to meet and we both sign before anything starts.
- Days 2 to 13
We build it in your environment.
A working tool, inside your tenant, tested against your own data and every criterion you signed.
- Day 14
You pay when it works.
$10,000, due only after every criterion is met. If one is not met, you owe nothing.
Questions buyers ask
Is AI worth it for a company our size?
For a narrow, high-volume workflow, usually yes. The risk is buying a broad program before one workflow works. Start with one, measure it, then expand.
Do we need a data science team?
No. We build and test the tool inside your environment. Your team needs one owner who can judge whether it passed.
How much does it cost?
$10,000 for one scoped two-week workflow, due only after every acceptance criterion passes.
Which workflows do mid-market companies start with?
Document-heavy work with a clear output: intake and triage, compliance checks, quote drafting, knowledge search with citations, and audit evidence collection.
Three free ways in. Pick where you are.
The mid-market AI advantage: How $50M to $500M companies out-ship the Fortune 500
Why $50M to $500M companies get AI into production faster than the Fortune 500.
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