Forthstead helps mid-market operators get real work out of AI — working inside the operation, not around it, until the new way of doing the work is simply how the work gets done. Services span strategy and advisory, fractional CIO/CTO, AI adoption and implementation, and product prototyping.
The problem was never the tools. It's adoption.
Operators have already bought the software. Clinical, financial, workforce, it is all installed. Nursing and residential care still show the lowest AI adoption of any healthcare category. Not because the technology is missing, but because change-resistant, thin-margin, high-turnover organizations have nobody senior enough, or lean enough, to make it stick.
Occupancy: NIC MAP, Q4 2025. Labor share: State of Seniors Housing 2024, Argentum / ASHA / NIC. Turnover: OnShift / Activated Insights; Ziegler 2026 Workforce Survey.
AI adoption: JAMA Health Forum, Dec 2025, on US Census Bureau BTOS data. Cap rate: CBRE US Senior Housing & Care Investor Survey, H2 2025.
One service, shaped to the organization in front of it.
Forthstead embeds as the senior technology strategist inside a change-resistant organization, diagnoses that organization's specific fragmentation and risk, and personally builds, using AI and agentic tooling, the systems that make the strategy real.
The method stays constant. The build is always custom.
Understand
Diagnose the organization's own fragmentation, leakage, and change-readiness. Not a workshop and not a slide deck. Time spent inside the operation, until it is clear where AI earns its keep and where it does not.
Every engagement starts here. The diagnosis is specific to one organization, because the fragmentation always is.
Strategize
Define the roadmap that organization specifically needs, sequenced to its capital cycle. A phased technology roadmap, a vendor consolidation plan, and a governance model that names who owns what.
Sequenced to the capital cycle, not to a vendor's release calendar.
Build
Implement with AI and agents, inside the systems the organization already owns. No rip and replace, and no twelve-item roadmap nobody finishes. One capability, built and adopted, before the next is scoped.
Stay
Stay embedded through adoption, accountable until it actually sticks. Adoption is measured in what people do at their desk in month three, not in what a demo showed in week one.
Including the part most firms leave out: what was scoped, what was dropped, and why. A capped scope and a documented boundary beat a case study that cannot be checked.
Agents that give an hour back, inside systems you already own.
Voice documentation
Returns caregiver time to direct care instead of to a keyboard.
Acuity-to-billing reconciliation
Closes the revenue gap where delivered care never reaches the claim.
Predictive scheduling
Reduces reliance on agency labor, which is where the margin goes.
Lead-conversion agent
Frees staff for family-facing time rather than inbox triage.
Integration layer
Connects the systems already in place. No rip and replace.
Any agent touching PHI or billing runs on a covered, BAA-backed AI surface. Billing-adjacent actions always require human approval.
The COO, CFO, or CEO of a mid-market operator with no internal technology leadership. That's a situation, not an industry — it shows up wherever nobody owns making a new tool stick. The proof so far is concentrated in senior living and post-acute, where compliance and operational stakes compound faster than most industries.
FOUNDED BY BEN JARVIS · FRACTIONAL CIO/CTO