Governance
AI governance framework
An acceptable-use policy, vendor and data-governance standards that are privacy- and HIPAA-aware, an AI opportunity and risk register, and education for the board, management, and staff.
Readiness & selection
AI readiness assessment
A use-case inventory scored by value and risk across finance close, invoice processing, scheduling, dining, marketing, and resident communications; a data-readiness review; and a 12-month adoption roadmap.
Needs assessment & vendor selection
Requirements definition by department; vendor RFP and demo scripts for EHR/EMR, ERP/GL, CRM, POS, and HRIS platforms; a scoring matrix; a total-cost-of-ownership model; and selection and contract-negotiation support.
Implementation
Implementation advisory & support
Project plan and governance advisory, data-migration advisory, an integration map, user-acceptance test scripts, a cutover and go-live plan, and weekly status reporting.
Pilot design & measurement
A scoped pilot with defined success metrics, vendor configuration advisory, and a go / scale / stop decision memo.
Adoption & enablement
Change management & training
A role-based training curriculum, a super-user program, and adoption metrics with a 60-day reinforcement plan.
AI training & enablement
Executive one-to-one coaching, staff classes by department, and a prompt and workflow library retained by the client.
AI workflow builds
Hands-on builds for specific workflows — invoice intake, board-pack drafting, variance narratives — with documentation and handoff to your team.
Post-implementation review
Adoption and utilization findings, workflow fixes, report catalog and dashboard buildout, and database hygiene standards.
Where else we work.
Start with a conversation.
Tell us what is in front of you — an opportunity, a challenge, or a transition. We will tell you plainly whether OAS is the right help, and what the engagement would produce.