80% of health systems are taking action on GenAI in the revenue cycle. READ THE NEW REPORT.

Man at laptop, AI and folder icons floating in the air. A visual representation of the AI working.

SOLUTIONS | PREBILL OPTIMIZATION SUITE

Accuracy for every encounter

The first unified platform that reviews 100% of inpatient encounters prebill. Powered by custom–trained generative AI (GenAI), the suite is uniquely capable of synthesizing the full patient record to surface documentation and coding opportunities — ensuring accurate, compliant reimbursement and complete quality capture before claims go out the door.

Close gaps. Protect revenue. Reduce risk.

SEE IT IN ACTION

Cleveland Clinic leads in GenAI accuracy

AKASA is processing 100% of Cleveland Clinic’s enterprise inpatient volume — recognized by HIT Consultant as “one of the most comprehensive real-world uses of GenAI in healthcare finance.”

READ ANNOUNCEMENT

Results from leading
health systems

$0.0M

net new revenue
(per 10k discharges)

$0K

net revenue lift
(per confirmed opportunity)

+0,000

additional quality indicators
(per 10k discharges)

I think what's really compelling is how you combine deep clinical indicators with AI. It's not just keyword matching.
CDI Director
I like using AKASA because it shows and links suggestions and referenceds to the documentation side by side. It also reviews more cases and finds more missed diagnoses than other vendors.
Medical Coder
I really like the inclusion of the clinical findings. Seeing everythiung together in the dashboard - vitals, labs, medications - makes review so much easier. It's helpful to have dashboards for all clinical conditions that I frequently query on.
CDI Manager
With AKASA, we're not seeing the same recycled suggestions over and over as with other vendors. The GenAI feels like its built for our health system. Coding and CDI each have their own tailored worklists, but they stay perfectly aligned - coordinated, not confused.
RCO Director
The reporting tools are a leader's dream. Even with everything we have in Epic and 3M, it can't do that.
VP of Mid-Cycle
The success of the AI coding platform has demonstrated the transformative impact of technology in enhancing efficiency and quality. With the launch of the CDI solution, we are excited to continue setting new benchmarks for how AI can support our teams, improve processes, and ultimately benefit our patients.
Ben Shahshahani, Ph.D.
Chief AI Officer at Cleveland Clinic
I think what's really compelling is how you combine deep clinical indicators with AI. It's not just keyword matching.
CDI Director
I like using AKASA because it shows and links suggestions and referenceds to the documentation side by side. It also reviews more cases and finds more missed diagnoses than other vendors.
Medical Coder
I really like the inclusion of the clinical findings. Seeing everythiung together in the dashboard - vitals, labs, medications - makes review so much easier. It's helpful to have dashboards for all clinical conditions that I frequently query on.
CDI Manager
With AKASA, we're not seeing the same recycled suggestions over and over as with other vendors. The GenAI feels like its built for our health system. Coding and CDI each have their own tailored worklists, but they stay perfectly aligned - coordinated, not confused.
RCO Director
The reporting tools are a leader's dream. Even with everything we have in Epic and 3M, it can't do that.
VP of Mid-Cycle
The success of the AI coding platform has demonstrated the transformative impact of technology in enhancing efficiency and quality. With the launch of the CDI solution, we are excited to continue setting new benchmarks for how AI can support our teams, improve processes, and ultimately benefit our patients.
Ben Shahshahani, Ph.D.
Chief AI Officer at Cleveland Clinic
I think what's really compelling is how you combine deep clinical indicators with AI. It's not just keyword matching.
CDI Director
I like using AKASA because it shows and links suggestions and referenceds to the documentation side by side. It also reviews more cases and finds more missed diagnoses than other vendors.
Medical Coder
I really like the inclusion of the clinical findings. Seeing everythiung together in the dashboard - vitals, labs, medications - makes review so much easier. It's helpful to have dashboards for all clinical conditions that I frequently query on.
CDI Manager
With AKASA, we're not seeing the same recycled suggestions over and over as with other vendors. The GenAI feels like its built for our health system. Coding and CDI each have their own tailored worklists, but they stay perfectly aligned - coordinated, not confused.
RCO Director
The reporting tools are a leader's dream. Even with everything we have in Epic and 3M, it can't do that.
VP of Mid-Cycle
The success of the AI coding platform has demonstrated the transformative impact of technology in enhancing efficiency and quality. With the launch of the CDI solution, we are excited to continue setting new benchmarks for how AI can support our teams, improve processes, and ultimately benefit our patients.
Ben Shahshahani, Ph.D.
Chief AI Officer at Cleveland Clinic
I think what's really compelling is how you combine deep clinical indicators with AI. It's not just keyword matching.
CDI Director
I like using AKASA because it shows and links suggestions and referenceds to the documentation side by side. It also reviews more cases and finds more missed diagnoses than other vendors.
Medical Coder
I really like the inclusion of the clinical findings. Seeing everythiung together in the dashboard - vitals, labs, medications - makes review so much easier. It's helpful to have dashboards for all clinical conditions that I frequently query on.
CDI Manager
With AKASA, we're not seeing the same recycled suggestions over and over as with other vendors. The GenAI feels like its built for our health system. Coding and CDI each have their own tailored worklists, but they stay perfectly aligned - coordinated, not confused.
RCO Director
The reporting tools are a leader's dream. Even with everything we have in Epic and 3M, it can't do that.
VP of Mid-Cycle
The success of the AI coding platform has demonstrated the transformative impact of technology in enhancing efficiency and quality. With the launch of the CDI solution, we are excited to continue setting new benchmarks for how AI can support our teams, improve processes, and ultimately benefit our patients.
Ben Shahshahani, Ph.D.
Chief AI Officer at Cleveland Clinic

Why you need GenAI and the Optimization Suite

100% encounter review

Not just samples — every chart, every service line

Customer–specific GenAI

Proprietary LLMs trained on your data for unmatched accuracy and compliance

Integrated CDI + coding workflows

Coders and CDI specialists collaborate seamlessly in one platform

Epic/Cerner-ready integration

Dedicated integration team enables smooth, reliable deployment with major EHRs

Performance-based pricing

No upfront fees — AKASA only invoices after measurable financial improvement is realized

Built with trust and compliance in mind

HIPAA-compliant, HITRUST-certified, and SOC 2-certified

Protect your reputation for delivering quality care

START THE CONVERSATION

Protect your reputation for delivering quality care

START THE CONVERSATION

Protect your reputation for delivering quality care

START THE CONVERSATION

How the AKASA Optimization Suite works

GenAI continuously learns from your mid-cycle experts, resulting in unmatched accuracy.

Custom model training

AKASA ingests a comprehensive dataset to train each custom LLM.

Custom model training

AKASA ingests a comprehensive dataset to train each custom LLM.

AI-powered review

AKASA’s LLM re-codes and re-analyzes every encounter, flagging documentation gaps, unsupported codes, and optimization opportunities.

AI-powered review

AKASA’s LLM re-codes and re-analyzes every encounter, flagging documentation gaps, unsupported codes, and optimization opportunities.

Actionable recommendations

Each suggestion comes with clinical evidence, coding references, and confidence scores.

Empowering your staff

Coders and CDI staff accept or reject recommendations directly in the platform.

Empowering your staff

Coders and CDI staff accept or reject recommendations directly in the platform.

Actionable recommendations

Each suggestion comes with clinical evidence, coding references, and confidence scores.

Actionable recommendations

Each suggestion comes with clinical evidence, coding references, and confidence scores.

Continuous learning

Every review helps the tool adapt to your workflows, provider styles, and evolving coding guidelines.

Continuous learning

Every review helps the tool adapt to your workflows, provider styles, and evolving coding guidelines.

Continuous learning

Every review helps the tool adapt to your workflows, provider styles, and evolving coding guidelines.

AI-powered review

AKASA’s LLM re-codes and re-analyzes every encounter, flagging documentation gaps, unsupported codes, and optimization opportunities.

AI-powered review

AKASA’s LLM re-codes and re-analyzes every encounter, flagging documentation gaps, unsupported codes, and optimization opportunities.

One prebill platform

Two dedicated views: Coding and CDI

Coding Optimizer

Re-codes every encounter across all service lines from scratch using source clinical documentation — identifying unsupported codes, sequencing improvements, and missed CC/MCCs to ensure precise, compliant reimbursement.

EXPLORE CODING OPTIMIZER

CDI Optimizer

Analyzes patient vitals, labs, flow sheets, medications, clinical notes, and other complex data sources to surface clinically contextual documentation gaps and evidence-based clinical queries — helping teams tell the complete story of care.

EXPLORE CDI OPTIMIZER

Get full credit for the incredible care you've delivered

Documentation gaps. Missed codes. Manual reviews that slow your teams down. The AKASA Mid-Cycle Prebill Optimization Suite unites CDI and coding into one intelligent and efficient workflow — reviewing 100% of encounters prebill to ensure every claim reflects the true quality of care delivered.

Fill out the form to connect with an AKASA AI expert and see how accuracy at scale looks in action at your organization.