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Plenful automates pharmacy operations by offering a SaaS platform that connects with existing data sources like Electronic Health Records (EHRs) and Pharmacy Management Systems (PMSs) to streamline workflows. Its system centralizes data and uses a mix of AI and rules-based logic, along with proprietary OCR, to automate manual tasks and reduce errors. The platform provides pre-configured workflows built from industry best practices and requires zero-code integration, making it easy to deploy within healthcare settings. Compared to generic automation tools, Plenful focuses specifically on healthcare and pharmacy operations, helping clients improve financial, operational, and care-related ROI through increased efficiency and data accuracy. The company’s goal is to lessen the burden on healthcare staff, optimize staffing, and offer clear transparency into operations.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Healthcare
Company Size
51-200
Company Stage
Series B
Total Funding
$76M
Headquarters
San Francisco, California
Founded
2020
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Total Funding
$76M
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Health Insurance
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Where AI is working for 340B programs: lessons from Coalition. 340B teams are running lean while compliance and regulatory scrutiny only tighten. Manufacturer data demands are expanding, MFP reconciliation has landed on already-stretched teams, and experienced 340B talent is hard to find and harder to keep. At 340B Health's Summer Coalition Conference, Plenful's SVP of Pharmacy Tim L'Hommedieu made an encouraging case for AI in 340B programs. Instead of piling more manual work onto stretched teams, AI is already safeguarding compliance, surfacing missed savings, and speeding up decisions for 340B programs today. Where AI creates the most impact. Across the programs that have adopted AI, the impact tends to concentrate in three places. 1. Safeguarding 340B compliance. AI can monitor for documentation gaps, audit exposure, and compliance risk continuously, so a program stays defensible without a person manually checking every claim. Instead of sampling a fraction of claims and hoping the rest hold up, a program can screen everything and catch exposure before an auditor does. As manufacturers tighten their reporting protocols, that always-on layer of protection matters more, not less. 2. Surfacing missed 340B savings. AI identifies savings that manual processes can't reach at scale, from uncaptured referrals to misclassified claims. It also catches value that quietly slips away, like therapies that were administered but never made it onto a claim. With a rebate model looming, that kind of financial oversight becomes even more critical. 3. Accelerating decision-making. AI absorbs the reasoning load of pattern recognition and data synthesis, so teams reach decisions faster and spend less of their day on tedious, low-value work. The point isn't to make the decision for anyone. It's to hand staff a clear, organized picture so the judgment call is the only part left to make. Referral capture: investigating what manual review can't reach. A large share of eligible savings hides in EHR documentation that's challenging to investigate at scale: progress notes, discharge summaries, or long PDFs where a person would have to physically comb through every line to find the evidence that connects a prescription to an eligible encounter. Most health systems don't have the resources to invest here meaningfully, so the savings are simply left on the table. AI tools like its Referral Agent solution can scan that documentation at roughly 98 times the volume a manual team can manage, then point staff to the highest-value opportunities first, ranked by drug cost and referral specialty. The compliance loop closes on its own: documentation is generated and routed back to referring providers through EHR integrations, building a defensible, audit-ready record automatically. "Plenful combs through the chart, identifies key words and phrases, and links all the pieces together to show the closed loop referral pathway. What's even better - it goes beyond detecting referrals to generating documentation you can stand up in an audit." Chief Pharmacy Officer Leading Mid-Atlantic Academic Medical Center MFP and rebate reconciliation: closing a 20% gap. Maximum Fair Price reconciliation is manual, and extraordinarily tedious. Plenful customers are reporting that as much as 20% of expected MFP refunds are missing, underpaid, or absent from the Medicare Transaction Facilitator entirely. Recovering them means reconciling across multiple platforms, filing good faith inquiries before deadlines close, and chasing outliers one at a time. Automation changes the math here. Its MFP Intelligence solution, featuring GFI Agent, organizes and submits the required data elements to manufacturers accurately and completely, eliminating the manual assembly across fragmented sources that delays or forfeits payments. It surfaces missing refunds, duplicate situations, and delayed reimbursements, then runs the good faith inquiry (GFI) and ESP submission workflow to recover them automatically. And finance and compliance leaders get real-time visibility, reconciling claims, refunds, and missing amounts in a single view instead of scattered spreadsheets. How to adopt AI in your 340B program: 4 change-management principles. The most common reason AI adoption fails in 340B has nothing to do with the technology. It's skipping the groundwork. Tim's advice for where to begin came down to four principles. * Map before you build. Define the current-state workflow before layering automation on top of it, or you'll just automate confusion. * Define success before you go live. Set baseline metrics upfront, and make sure your systems can actually report on the outcomes you care about. * Start narrow and prove impact fast. Pick one high-visibility use case, show the value, then expand. Momentum matters more than scope. * Build champions across functions. Compliance leads, 340B analysts, and CFOs each need a different reason to care. AI adoption is a team sport. AI gives scarce, experienced staff their time back for the work that needs their expert judgment, and takes the repetitive, tedious tasks off their plates. For 340B teams, that means faster savings recovery, reduced staff burnout, and more room to serve the patients who depend on the program. Explore AI solutions for your pharmacy team
Plenful Announces GFI Agent to Automatically Close the Loop on Missing MFP Refunds. July 8, 2026 San Francisco Biotechnology Network News News, Syndication Comments Off on Plenful Announces GFI Agent to Automatically Close the Loop on Missing MFP Refunds GFI Agent automates Good Faith Inquiry submission and ESP reporting, helping pharmacy teams recover every refund owed without the manual chase. SAN FRANCISCO, July 8, 2026 /PRNewswire/ - Plenful, the leading AI workflow automation platform for pharmacy teams, today announced GFI Agent, a... Discover more Tourist Destinations Geographic Reference Demographics
Plenful has launched Referral Agent, the first AI solution designed to identify and capture referral-based savings within the 340B Drug Pricing Program. At a leading Mid-Atlantic academic medical center, the platform expanded referral claim review from 130 claims monthly to 12,700, a 98-fold increase, with average savings of more than $1,850 per claim. Referral Agent uses large language models to analyse structured and unstructured electronic health record data, including clinical notes and PDFs, to match referrals to downstream claims. The system provides auditable records with source documents and confidence signals for regulatory compliance. The platform joins Plenful's 340B Audit and Optimisation suite, currently used by over 95 healthcare organisations. The 340B program covers nearly 50% of US hospitals and generates billions in savings for underserved patient care.
Introducing Referral Agent, the first agent built for 340B referral capture. Today Plenful Inc. is announcing Referral Agent - the first AI agent purpose-built for 340B referral capture. At a leading Mid-Atlantic academic medical center, Referral Agent expanded referral claim review from 130 claims per month to 12,700 - a 98x capacity increase. At more than $1,850 in average 340B savings recaptured per claim, the impact compounds with every future fill. A savings opportunity too cost-prohibitive to pursue. For most covered entities, referral capture is one of the largest untapped savings opportunities within 340B, and one of the hardest to operationalize. The challenge is structural. Referral evidence doesn't live in one place. It's buried in clinical notes, free-text fields, and faxes scattered across multiple systems. Traditional third-party administrator (TPA) matching logic only surfaces discretely coded data, leaving the majority of real-world referral evidence undiscovered. Manual chart review is expensive, inconsistent, and impossible to scale across the thousands of claims large health systems process each month. Most programs have never attempted a systematic referral capture strategy - the operational lift is simply too high. Plenful's Referral Agent finds what manual processes and TPAs miss. Plenful's Referral Agent acts as a force multiplier for 340B teams. Using large language models (LLMs) trained on clinical language, the agent analyzes both structured and unstructured EHR data - including clinical notes, PDFs, and other documentation - to find referrals and match them to downstream claims. FHIR integration simplifies secure access to patient data across systems, eliminating the friction of traditional data extraction. To close the documentation loop, Referral Agent automatically generates referral documentation back to the referring provider via major EHRs - giving pharmacy teams a defensible, HRSA-ready evidence record for every captured referral. For external referrals where encounter data lives outside the EHR, Referral Agent traces prescription claims, recovering scripts that would otherwise remain invisible to covered entities. Plenful's Referral Agent enables pharmacy teams to: * Uncover millions in missed 340B savings. Recover referral-based claims that manual processes couldn't reach. With average recapture exceeding $1,850 per claim, and covered entities reviewing thousands of claims per month, the impact adds up quickly. * Significantly scale referral review. Automate the scanning of clinical notes, summaries, and PDFs to uncover referral evidence that's often missed by manual review. At a leading Mid-Atlantic academic medical center, Referral Agent expanded referral claim review from 130 claims per month to 12,700 - a 98x capacity increase. * Act on ranked, high-confidence findings. Prioritize flagged claim review by drug cost and referral specialty to optimize for high-value work, with an 82% accuracy rate on flagged claims. * Closed-loop Referral Documentation. Automatically generate and send referral documentation back to the referring provider via major EHRs. Referral Agent closes the documentation loop, building a defensible, HRSA-ready evidence record for every captured referral. * Gain visibility into external referrals. Trace contract pharmacy claims to attribute referrals that exist entirely outside the health system's EHR. From cost-prohibitive to a scalable path. "One of our partners went from reviewing 130 referral claims a month to 12,700 - not by adding staff, but by letting AI do the work that was never possible to do manually. Most 340B programs weren't running a referral capture strategy at all - not because the savings weren't real, but because finding informal referrals buried in clinical notes is an infinite task," said Joy Liu, Founder and CEO of Plenful. "Referral Agent changes the equation entirely. It expands what your team can pursue beyond formal orders alone and makes a strategy that was too cost-prohibitive to run manually not just possible, but scalable." Referral Agent expands Plenful's 340B Audit & Optimization suite, which supports more than 95 health systems nationwide. To learn more about Plenful's AI workflow automation platform for 340B optimization, revenue optimization, and intake authorization solutions for infusion and specialty pharmacy teams, visit Plenful.com. Explore AI solutions for your pharmacy team
Plenful, an AI workflow automation platform for pharmacy teams, has launched its MFP Intelligence solution to help health systems recover missing Medicare Maximum Fair Price refunds. Early deployments with major health systems including Henry Ford Health and St. Luke's Health System have identified up to 20% of expected refunds as missing. The solution addresses challenges arising from Medicare's MFP programme, which launched on 1 January 2026 under the Inflation Reduction Act's Drug Price Negotiation Program. It reconciles expected versus received refunds at claim level, identifies discrepancies, and streamlines the recovery process. The new capability expands Plenful's Regulatory Compliance and Revenue Optimization suite, which currently supports more than 95 health systems nationwide. The platform integrates claims data across pharmacy systems to provide visibility into reimbursement workflows.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Healthcare
Company Size
51-200
Company Stage
Series B
Total Funding
$76M
Headquarters
San Francisco, California
Founded
2020
Find jobs on Simplify and start your career today