A consulting practice for the two hundred thousand companies the enterprise players will never call — built systems, transferred ownership, measured returns.
LEADERSHIP CEO · ORACLE AI SOFTWARE ENGINEER
Palantir, Accenture, and the bulge-bracket integrators built the AI transformation playbook — then priced it for the Fortune 500. Below that line sits America's mid-market: too complex for off-the-shelf software, too small for a $10M engagement, and largely without a serious AI partner.
Average annual revenue from each of Palantir's top-20 customers, as reported in 2024.
U.S. mid-market companies — firms between $10M and $1B in revenue.
Of private-sector GDP is produced by the mid-market, with almost no dedicated AI coverage.
Every engagement is scoped against a measurable P&L outcome — hours recovered, revenue captured, or cost removed.
A two-week diagnostic that maps your workflows, data, and economics into a ranked roadmap of AI use cases — each with a projected return and a build plan.
2 WEEKS · FIXEDProduction-grade agents, copilots, and decision tools built on your data and your stack — deployed in weeks, and owned by you rather than rented from us.
6–12 WEEKSBack-office, operations, and customer workflows redesigned around AI: intake, documents, reporting, scheduling, reconciliation.
SCOPED TO ROITraining, governance, and operating playbooks so your people run the systems confidently — and the results outlive the engagement.
ONGOINGWe keep what makes the enterprise players effective — outcome-first deployment, real engineering — and strip out everything the mid-market can't absorb.
Opportunity audit across workflows, data, and economics. Output is a ranked, ROI-scored roadmap.
Build the single highest-return system first — live users, real data, and a measured baseline.
Harden, integrate, and roll out. Security review, training, and documentation included.
Quarterly retainer: monitoring, model updates, and the next use case off the roadmap.
Frontier-quality inference is down two orders of magnitude since 2022. Enterprise-grade systems now clear ROI at mid-market budgets.
Mid-market boards and PE sponsors are mandating AI adoption — but internal teams can't build it alone.
Big integrators can't serve $150K engagements profitably; freelancers can't deliver production systems. The lane is open.
The audit funds itself, the build carries the margin, and the retainer compounds — every client becomes a pipeline for the next use case.
A paid diagnostic that de-risks the relationship and seeds the build pipeline.
System builds priced against projected return, not headcount.
Monitoring, updates, enablement — and first call for every new use case.
Frontier-quality inference costs have fallen by roughly two orders of magnitude. Systems that only a Fortune 500 budget could justify now clear ROI at mid-market scale.
Agent frameworks, evaluation suites, and deployment infrastructure turned year-long integration projects into six-week builds.
Mid-market boards and PE sponsors are mandating AI adoption. The question changed from "why?" to "who do we call?" — and today there is no good answer.
After two years of failed pilots and vaporware, buyers want a partner who scopes to outcomes, transfers ownership, and stays accountable. That is the entire model.
Two weeks. One audit. A ranked roadmap of what AI is actually worth inside your company — before you commit to anything.