Operating problem
Start with a workflow that is slow, costly, risky, or difficult to scale.
Bring us one operating-company problem. We embed with the team, define the measure before the build, and turn working evidence into a playbook only when the result earns it.
Based in Northwest Ohio · Working nationwide
Value-creation ledger
The investment case is not “AI everywhere.” It is one useful operating pattern, measured honestly, documented clearly, and repeated where the conditions actually match.
Start with a workflow that is slow, costly, risky, or difficult to scale.
Define the baseline and the evidence that would justify continuing.
Deliver one useful workflow with visible progress, ownership, and safeguards.
Replicate only after the operating company and deal team accept the evidence.
Working evidence
Three different operating environments. The common pattern is bounded responsibility, visible ownership, and software built around the actual workflow.
High-consequence data work
01Fivos Health
Human-reviewed AI supports complex record work while qualified reviewers remain accountable for decisions that require judgment.
Human-reviewed workflow
Read the Fivos Health case studyAI-enabled workflow in existing tools
02Toledo Museum of Art
The AI scheduling assistant performs a defined job inside the tools the team already uses and hands decisions back to people when required.
Production deployment
Read the Toledo Museum of Art case studyOperating-team ownership
03AIM Ecycling
The system was deployed, documented, and handed over so the operating team can run the work without renting its own process back.
Client-operated system
Read the AIM Ecycling case studyEngagement model
Forward-deployed engineers or a fixed-scope delivery team. The form follows the work; the evidence determines what happens next.
Map the work, constraints, systems, data, and people around one priority inside the operating company.
Agree on the baseline and the evidence that would make further investment responsible.
Ship one useful workflow with clear boundaries, ownership, and a visible delivery cadence.
Turn the proven operating pattern into a playbook only after the first implementation earns it.
Operating principles
The details belong in the agreement and the system design—not in an implied promise on a marketing page.
Scope systems, access, and data around the operating company and the approved work.
Document who owns the system, data, decisions, and ongoing operation in the engagement agreement.
Build for the people doing the work, with documentation and a clear path for support or transition.
No cross-company access or reuse without written direction and the appropriate technical and contractual controls.
Straight answers
Start with one operating company and one consequential workflow. We map the process, define the measure, and propose the smallest responsible commitment before discussing portfolio-wide replication.
No. A bounded operating-company engagement can establish whether the delivery model and the evidence are useful. Broader commercial terms can follow if the work earns expansion.
Each engagement defines its approved systems, access, data, and users. Cross-company access or reuse would require explicit written direction and the appropriate technical and contractual controls.
Ownership, licensing, support, and handoff are made explicit in the engagement agreement. We do not rely on an implied or one-size-fits-all ownership promise.
It stops or changes direction. Defining the measure early is intended to surface that answer at bounded cost, before a broader rollout.
One operating problem
Tell us where a portfolio company is losing time, capacity, or decision quality. We’ll respond by email with a practical next step.