Scalefresh AI

Agentic AI

Services

Architechture

Use case

Insights

About Us

Contact Us

Scalefresh AI

Scalefresh AI

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.

Get in touch

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"

01.

Multi-Step Reasoning & Planning

Agentic AI breaks down complex tasks into sequences of steps, reasoning through each one dynamically.

02.

Tool Use & Action Execution

Agents don't just generate text, they take actions in the world. They call APIs, query databases, access your EHR system, submit forms, send messages, and trigger workflows.

03.

Autonomous Decision-Making with Guardrails

Agentic AI can make decisions without human intervention at each step, but within clearly defined boundaries. It leverages "human-in-the-loop" for critical decisions

04.

Perception & Adaptability

Agents observe the results of their actions and adjust course. If a database query returns unexpected results, the agent doesn't crash. It reasons about what went wrong and tries a different approach.

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:

1

They require clinical reasoning.

You can't template "diabetic patient with hypertension and prior stroke now presenting with new neurological symptoms needs MRI." Each case is unique. Each requires clinical context.

2

They span multiple disconnected systems.

Your staff navigates EHR, payer portals, lab systems, imaging platforms. Copying data. Switching screens. Losing hours to coordination overhead.

3

They're highly variable.

Different patients. Different payers. Different clinical scenarios. Different evidence required. Fixed scripts can't handle this.

4

They're compliance-critical.

You need documentation. Audit trails. Professional accountability. Human oversight.

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

Non-Clinical Workflows

Non-Clinical Workflows

Prior Authorization

Medical Coding

Denial Management

Non-Clinical Workflows

Prior Authorization

Medical Coding

Denial Management

Clinical Support (Assistive, Not Autonomous)

Clinical Support (Assistive)

Clinical Documentation

Literature Review

Discharge Summaries

Critical Distinction

Clinical Support (Assistive, Not Autonomous)

Clinical Documentation

Literature Review

Discharge Summaries

Critical Distinction

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

Do you work with health systems that are still early in their AI journey?

How is Scalefresh different from the large consulting firms that also offer AI services?

Do you replace our internal IT or data teams?

What does a typical engagement look like?

How do you handle AI safety and regulatory compliance in healthcare?