AI ADVISORY & VALIDATION SERVICES

Is your AI getting it right?

We help you get AI right - from evaluating and preparing for implementation, to independently checking how it's performing once it's live.

Talk To Us!

Trusted by 1,250+ Hospital Facilities and Physician Groups Nationwide

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AI can move the bottleneck instead of removing it

A successful pilot can still create bottlenecks at scale. Without the right workflow and governance, work simply shifts downstream into exceptions, queries, quality review, denials, or audits. We help prevent the shift and validate performance after implementation.

AI advisory and validation: end to end

  • Readiness and use-case priorities: where AI makes sense, where there is risk and what needs to be in place for success
  • Independent validation and scale-readiness before you move from pilot to implementation
  • Governance: ownership, human review, monitoring and escalation
  • Workflow and role redesign: so the technology improves the whole process, not just one step
  • KPI and ROI measurement: baselines before launch, results after

How we help

Readiness, use-case priorities, workflow and governance, KPIs -  before you implement.

Independent validation and a scale-readiness review before you roll out further.

Validation of AI output at the start, along the way or when something feels off. 

WORKING TOGETHER

Independent reviewers, a baseline before you launch, and reporting that tracks what changed.

Our Promise

  • Reviewers with real coding, CDI and denials expertise - not tied to any one AI vendor
  • Clear methodology and documented findings
  • Baselines and KPIs defined up front, so results can be measured against something real
  • Consistent reporting on our findings and the impacts on performance and compliance
  • After implementation, we can help you track ROI and compliance risk through ongoing reviews

FAQs

  • Why use an independent third party to validate AI?

    Your vendor knows its product, but it isn't a neutral party to judge impact and quality. Independent validation shows how the tool performs on your cases, workflows and downstream impacts - that matters most when AI output drives claims, reimbursement or regulatory reporting.

  • How do we know if our AI investment is working?

    Compare results against a baseline you set before launch. We help define the right KPIs up front and measure what changed afterward, so leadership gets a clear answer.

  • What should be in place before we scale an AI pilot?

    Workflow and role changes, governance, human-review rules, KPIs, validation expectations and a plan for where to expand next. The best next area isn't always the easiest one to deploy, so we help you sequence by value, risk and readiness.