Delivery Services
AI-accelerated, team-based execution and transformation with SLAs and principal oversight. Senior people do the work, no junior hand-offs, and what we build runs as deterministic, auditable code in your environment.
Working systems, not recommendations
- Deterministic models and data pipelines: coding and denial-prevention engines, compensation and close automation, risk and acuity classification, kept validated and versioned.
- Reporting delivered as Signal Forward Insights: role-specific views computed from your source data, not another dashboard sprawl.
- Request intake and ad-hoc analysis with defined turnaround, so the questions your leadership asks on Tuesday are answered while they still matter.
- Multi-workstream transformation programs for large-scale modernization, with principal oversight and monthly outcome reviews.
- Every automated model ships with Provenance, the audit surface where your team watches runs, inspects checks, and traces numbers to source.
Delivered into your environment, documented, and transferred. You own the model, not a subscription to us.
Engagement tiers
Core
Keep the lights on with SLAs: pipeline monitoring and maintenance, model and dashboard updates, a monthly health check and plan.
Growth
Everything in Core plus roadmap capacity: new models and views, feature enhancements, and advanced analytics projects.
Transformation
Full capacity with leadership: multi-workstream programs, strategic planning, and mentoring for your own team.
Service levels
Critical issues: 4-hour response
Enhancement requests: next sprint planning
Ad-hoc analysis: 48-hour turnaround
Monthly reviews: scheduled stakeholder sessions
A cadence you can plan around
Set up
Current-state documentation, SLA definition, intake process, and the first roadmap, in the first month.
Operate
Sprint-based delivery with weekly updates. Models stay validated, pipelines stay monitored, requests get answered on the clock.
Review
A monthly outcomes review against the metrics that justified the engagement, and a re-ranked roadmap.
Common scenarios
Mid-market and rural health systems
Revenue-cycle, denial-prevention, and operational analytics run as a service level, not a headcount request.
Enterprise and academic systems
Sustained analytics capacity and transformation programs inside your own environment, with the compliance posture already built in.
MSOs and physician groups
Compensation engines, close automation, and physician reporting delivered as working vertical slices, then extended division by division.
Ready for execution you can hold to an SLA?
Tell us what needs to run reliably, and we will propose the tier and scope that fit.