Your staff spends
45 minutes on a workflow task
(e.g. prior auth, CDI etc.)
With AI assistant, this can be done in 5.
Healthcare workflows need cognitive thinking and doing. That's what agentic AI does.
What Is Agentic AI?
These are intelligent systems that understand your workflows, apply reasoning, and take action across your existing tools, EHR systems, databases, and clinical applications. Unlike traditional automation that follows rigid rules, agentic AI reasons through complex scenarios, handles exceptions, and learns from feedback.
With a Chatbot
With a Chatbot
You say:
You say:
"What's this patient's blood pressure?"
"What's this patient's blood pressure?"
It answers.
That's the end.
Your staff still does the work.
It answers.
That's the end.
Your staff still does the work.
With a RPA script
With a RPA script
You say:
You say:
"Follow these exact 47 steps."
"Follow these exact 47 steps."
It does.
Until step 48 is different.
Then it breaks.
It does.
Until step 48 is different.
Then it breaks.
With an AI agent
With an AI agent
You say:
You say:
"Complete this prior authorization."
"Complete this prior authorization."
We deploy the agentic workflow tailored to your specific health system. It retrieves patient data from your EHR. It looks up payer requirements. It generates the medical necessity letter. It presents it to your staff for approval, then submits and tracks.
We deploy the agentic workflow tailored to your specific health system. It retrieves patient data from your EHR. It looks up payer requirements. It generates the medical necessity letter. It presents it to your staff for approval, then submits and tracks.
The difference?
Agents reason and act.
They don't just answer via chat. They don't just follow rule based scripts. They think through what needs to happen, then do it.
The Four Capabilities
That Make AI "Agentic"
The Four Capabilities
That Make AI "Agentic"
The Four Capabilities
That Make AI "Agentic"
Why Healthcare Needs This
Why Healthcare Needs This
Your workflows resist automation for four reasons:
Your workflows resist automation for four reasons:
Your workflows resist automation for four reasons:
Here's what you've tried:
Here's what you've tried:
Here's what you've tried:
Offshore labor? You outsourced the problem, not solved it. Your staff still coordinates.
RPA? Works great until something varies. Then it breaks and your staff fixes it manually.
Chatbots? They answer questions. They don't complete work.
Process optimization? You've already optimized what can be optimized.
The bottleneck is that these workflows require human reasoning.
Until now.
Offshore labor? You outsourced the problem, not solved it. Your staff still coordinates.
RPA? Works great until something varies. Then it breaks and your staff fixes it manually.
Chatbots? They answer questions. They don't complete work.
Process optimization? You've already optimized what can be optimized.
The bottleneck is that these workflows require human reasoning.
Until now.
Offshore labor? You outsourced the problem, not solved it. Your staff still coordinates.
RPA? Works great until something varies. Then it breaks and your staff fixes it manually.
Chatbots? They answer questions. They don't complete work.
Process optimization? You've already optimized what can be optimized.
The bottleneck is that these workflows require human reasoning.
Until now.
Show Me a Real Example
Prior Authorization Today:
Your clinical staff gets a request. Opens the patient's chart. Clicks through tabs for diagnoses. Clicks through tabs for medications. Clicks through tabs for labs. Clicks through tabs for imaging. Searches the payer website for requirements. Copies information into a Word document. Writes medical necessity justification. Submits via portal or fax. Updates your tracking spreadsheet.
Time: 45-60 minutes per authorization.
With a AI Agent
Agent receives request via EHR integration.
Agent plans: I need patient data. I need payer criteria. I need to generate documentation. I need human approval. I need to submit.
Agent executes: Retrieves patient data from EHR, Queries payer database, Synthesizes clinical evidence,, and Generates medical necessity letter.
Presents to your clinical staff for review. They verify accuracy. Add context not captured in structured data. Edit if needed. Approve submission.
Agent submits to payer portal via API. Captures confirmation. Updates EHR tracking.
Time: 1-2 minutes agent execution + 3-5 minutes staff review = 5-7 minutes total.
Prior Authorization Today:
Your clinical staff gets a request. Opens the patient's chart. Clicks through tabs for diagnoses. Clicks through tabs for medications. Clicks through tabs for labs. Clicks through tabs for imaging. Searches the payer website for requirements. Copies information into a Word document. Writes medical necessity justification. Submits via portal or fax. Updates your tracking spreadsheet.
Time: 45-60 minutes per authorization.
With a AI Agent
Agent receives request via EHR integration.
Agent plans: I need patient data. I need payer criteria. I need to generate documentation. I need human approval. I need to submit.
Agent executes: Retrieves patient data from EHR, Queries payer database, Synthesizes clinical evidence,, and Generates medical necessity letter.
Presents to your clinical staff for review. They verify accuracy. Add context not captured in structured data. Edit if needed. Approve submission.
Agent submits to payer portal via API. Captures confirmation. Updates EHR tracking.
Time: 1-2 minutes agent execution + 3-5 minutes staff review = 5-7 minutes total.
You save 40-55 minutes per authorization.
Your staff maintains oversight.
The agent does the coordination.
What You Can Actually Do With This Today
What You Can Actually Do With This Today
What You Can Actually Do With This Today
Why Scalefresh
We build agentic AI systems exclusively for healthcare providers. Not financial services. Not retail. Healthcare.
We understand your workflows
because we've built prior authorization systems, clinical documentation agents, and denial management tools. We know Epic integrations. We know payer portal variations. We know medical necessity criteria.
We design governance first
because we know you can't deploy AI without it. Human-in-the-loop checkpoints. Audit trails. Guardrails. Continuous evaluation. Not features—architecture.
We prove it works before you scale
through structured pilots with defined metrics, staff feedback loops, and clinical leadership validation. No vaporware. No pilot purgatory. Measurable outcomes.
We give you transparency
on costs, timelines, and ROI. No black boxes. No magic. Clear cost modeling. Defined success metrics. Regular performance reviews with your leadership.
We understand your workflows
because we've built prior authorization systems, clinical documentation agents, and denial management tools. We know Epic integrations. We know payer portal variations. We know medical necessity criteria.
We design governance first
because we know you can't deploy AI without it. Human-in-the-loop checkpoints. Audit trails. Guardrails. Continuous evaluation. Not features—architecture.
We prove it works before you scale
through structured pilots with defined metrics, staff feedback loops, and clinical leadership validation. No vaporware. No pilot purgatory. Measurable outcomes.
We give you transparency
on costs, timelines, and ROI. No black boxes. No magic. Clear cost modeling. Defined success metrics. Regular performance reviews with your leadership.
Three Questions You Should Ask Any Vendor
How much does comprehensive evaluation cost compared to the AI system itself?
Can't our AI vendor handle evaluation?
When should we start evaluation?
What if we've already deployed AI without systematic evaluation?
How do we know if our evaluation is sufficient?
How much does comprehensive evaluation cost compared to the AI system itself?
Can't our AI vendor handle evaluation?
When should we start evaluation?
What if we've already deployed AI without systematic evaluation?
How do we know if our evaluation is sufficient?
How much does comprehensive evaluation cost compared to the AI system itself?
Can't our AI vendor handle evaluation?
When should we start evaluation?
What if we've already deployed AI without systematic evaluation?
How do we know if our evaluation is sufficient?