AI Advisory and Validation Services

Is your AI actually getting it right?

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

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 Trusted by 1100+ Hospital Facilities and Physician Groups Nationwide

AI can move the bottleneck instead of removing it

A pilot that looks great in one area can behave very differently across specialties, facilities, payers and case complexity. Without the right workflow, governance and success measures in place, the work often just shifts into quality review, exceptions, queries, denials or audit instead of disappearing. We help you get that right upfront, and validate the output after.


AI advisory and validation: end to end

  • Independent validation: accuracy and consistency of AI-generated coding, CDI and denial output
  • Readiness and use-case priorities: where AI makes sense, where the risk is and what needs to be in place first
  • 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

evalutate my AI

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

Validate my pilot

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

Audit for Accuracy

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

WORKING TOGETHER

We work with you to come up with the right solutions for your challenges!

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
  • Regular reporting on what we find and what it means for performance and compliance
  • When you want to go further, we can help you track ROI and compliance risk over time, not just validate a tool once and walk away.

FAQs

  • Why use an independent third party to validate AI?

    Your vendor knows its product, but it isn't a neutral judge of it. Independent validation shows how the tool performs on your cases, workflows and payers. 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.