A US-based global life sciences enterprise operating across the full pharmaceutical and medical products value chain, serving healthcare providers, patients and distributors worldwide in one of the most heavily regulated industries. The industries where complaint resolution carries direct implications for patient safety, regulatory standing and brand trust. The enterprise handles approximately 50,000 complaints annually across four regions (North America, EMEA, APAC and LATAM) and various business units.
As part of the client’s AAD (Automation, AI and Data) program, Persistent applied Agentic AI by combining LLMs, Generative AI and RPA. This enabled the transformation of complaint resolution from a manual, inconsistent and FTE-heavy process into a standardized, AI-driven system delivering faster, scalable and data-visible outcomes. As a result, 4,200+ hours saved annually, 70% faster resolution and a compliance-ready operation that scales without adding headcount.
When Complaint Volume Outgrows the Workforce Behind It
Complaint resolution in life sciences is not a back-office function; it is a compliance obligation. Insufficient product complaint handling is consistently among the top FDA 483 observations, meaning every inconsistency carries severe regulatory and reputational risk.
Operationally, the cost pressure was significant. According to Gartner, agentic AI is projected to autonomously resolve 80% of common customer service issues without human intervention by 2029, leading to a 30% reduction in operational costs. This forecast underscores just how much value organizations with manual, headcount-dependent resolution models are leaving on the table.
Before agentic automation, the enterprise complaint resolution process was manual, fragmented and dependent on human judgment. Complaints arrived through disconnected channels including emails, web portals and document submissions that required agents to manually read, interpret, classify and route every case. With no standardized decisioning logic, similar complaints were frequently handled differently, creating the kind of variability that draws regulatory scrutiny. The full resolution cycle – from complaint intake and logging, through triage, investigation, root cause analysis, documentation and customer closure averaged about three weeks with SLA miss rates running between 15-30% and error or rework rates as high as 25%. Each FTE was managing just 40-80 cases, at a cost of $80-$250 per complaint.
Every volume spike required an additional headcount, making scale structurally impossible without proportional cost increases. The cost of inaction was measurable across customer experience, compliance posture and operational efficiency, with no viable path forward without structural change.
An Agentic AI Model That Reads, Decides and Acts Without Human Intervention
Persistent, as a strategic AI and automation delivery partner within the client’s AAD program, designed and deployed an agentic automation solution powered by UiPath – enabling autonomous management of the full complaint resolution lifecycle.
Intelligent Intake and AI-Driven Classification
Agentic AI models read and interpret unstructured complaint inputs like emails, portal submissions and attached documents without human intervention. Using LLMs and Generative AI, agents extract key details, identify complaint types and determine customer intent, eliminating manual triage entirely.
Scenario-Based Decisioning at Scale
A structured decisioning layer maps every complaint to a predefined resolution path covering incorrect quantities, billing discrepancies, cancellations, SKU errors, missing shipment data, non-receipt of goods and more. Each scenario triggers a tailored, rule-driven workflow, enforcing consistent handling regardless of channel, volume or complexity. This directly reduced human error across audit findings, investigation quality and data mapping.
End-to-End Execution via RPA Integration
Once the AI agent classifies a complaint, integrated RPA bots execute all downstream actions autonomously: creating cases in the CRM, initiating resolution workflows, updating tracking systems and notifying customers with no manual handoff. A UiPath Apps frontend gives customer care agents real-time visibility into agent decisions and a streamlined interface to manage exceptions.
Human-in-the-Loop Safeguards
Edge cases and compliance-sensitive complaints are automatically escalated for agent review, preserving regulatory accountability while automation absorbs the high-volume routine workload.
Autonomous Complaint Resolution: Measured Over Two Quarters of Live Deployment
The solution was deployed to a limited set of CSRs over two quarters, benchmarked against the pre-automation baseline, with further gains expected as rollout expands. With Persistent, the enterprise was able to:
- Save 4,200+ hours of annual operational effort, freeing customer care agents from repetitive complaint classification to focus on complex case resolution, regulatory reporting and proactive customer engagement.
- Achieve 70-80% improvement in complaint handling accuracy through consistent AI-driven decisioning that eliminated variability caused by individual agent judgment, directly strengthening compliance posture. The error and rework rates fell from up to 25% to under 10%.
- Reduce complaint response turnaround time by 70%, compressing resolution from about three weeks to 2-7 days and measurably improving customer loyalty and Net Promoter Scores.
- Cut manual effort by 30%, delivering immediate cost savings and eliminating the structural dependency on headcount additions to absorb complaint volume growth.
- Strengthen SLA adherence with the miss rates dropping from 15-30% to 5-10% across all complaint types. This reduced regulatory exposure, positioning the enterprise to meet increasingly stringent FDA and industry compliance expectations.
- Double the FTE productivity, with each agent now handling 100-150 cases compared to 40-80 previously, while cost per complaint was reduced by 30-50%.
What the Client Says
Thanks for sharing the DEMO video on the CR issue & complaints process. Amazing job on completing the end-to-end flow! This is a fantastic process video and will certainly be beneficial for our end users. I really appreciate all the developers and architects for their amazing work.
— Director, AAD, Client Organization
From Operational Liability to Strategic Asset Without a Single New Hire
Persistent transformed complaint resolution from a manual, headcount-dependent liability into a scalable, intelligence-driven compliance asset. Through our strategic AI and automation partnership within the client’s AAD program, we enabled enterprise-wide intelligent automation powered by RPA, GenAI and agentic solutions.
With deep life sciences domain expertise, we enabled the enterprise to simultaneously reduce operational costs, strengthen regulatory adherence and elevate customer experience without adding a single full-time employee. The engagement demonstrates Persistent’s ability to convert high-volume operational challenges into strategic, measurable business advantages through responsible, enterprise-grade automation.
For client leadership, the measure of success was not just what was achieved but how quickly with significant, auditable gains across cost, compliance and customer experience realized within the first operational cycle. Agentic Complaint Resolution sets the stage for an end-to-end, AI-powered quality and compliance ecosystem shifting the organization from reactive issue resolution to proactive, predictive quality excellence.
