Agentic AI in Action: Industry-Specific Use Cases and Roadmaps
Agentic AI is redefining what’s possible for enterprises, moving beyond content generation to orchestrate complex, end-to-end business processes with autonomy, adaptability, and intelligence. Powered by Bodhi—Publicis Sapient’s enterprise-scale agentic AI platform—organizations in retail, financial services, and healthcare are already realizing measurable value. This page explores concrete, sector-specific use cases and provides practical roadmaps for business and technology leaders ready to move from experimentation to enterprise-scale transformation.
What Is Agentic AI?
Agentic AI refers to systems composed of multiple collaborating AI agents that can perceive context, make decisions, and execute multi-step tasks with minimal human intervention. Unlike traditional automation or generative AI, agentic AI:
- Sets its own goals and breaks down complex tasks
- Integrates with enterprise systems (ERP, CRM, SCM, EHR, etc.)
- Makes real-time decisions and adapts to changing data
- Operates with built-in compliance, security, and ethical guardrails
This leap in capability enables agentic AI to orchestrate end-to-end business processes, delivering transformational value across industries.
Retail: Dynamic Pricing, Inventory Optimization, and Personalization
Dynamic Pricing and Inventory Optimization
Retailers operate in a world of razor-thin margins and volatile demand. Agentic AI, powered by Bodhi, autonomously monitors real-time sales, supply chain disruptions, and local consumer trends to adjust pricing and restocking schedules for each store location. For example, an AI agent can detect a surge in demand for a product due to a viral trend, cross-reference inventory levels, and automatically trigger restocking or price adjustments—without human intervention.
Benefits:
- Reduces stockouts and overstocking, minimizing lost sales and waste
- Optimizes margins and can boost revenue by 5–15%
- Frees up staff to focus on customer engagement and innovation
Personalized Content and Conversational Commerce
Agentic AI enables hyper-personalized marketing campaigns, product recommendations, and conversational shopping assistants. By integrating with customer data platforms, these agents tailor offers, generate dynamic content, and guide customers through the purchase journey via chat or voice interfaces.
Retail Roadmap:
- Data Foundation: Cleanse and unify customer and inventory data across channels.
- Pilot Micro-Experiments: Start with targeted agentic AI pilots (e.g., dynamic pricing for a product line or region).
- Integrate with Core Systems: Ensure seamless connectivity with POS, ERP, and e-commerce platforms.
- Scale and Govern: Expand successful pilots, implement human-in-the-loop oversight, and establish ethical guardrails.
Financial Services: Real-Time Risk, Personalized Advice, and Automation
Real-Time Risk Assessment and Proactive Financial Assistance
Agentic AI can monitor customer transactions, predict cash flow issues, and proactively recommend personalized loan options or financial products. For example, an AI agent may detect unusual spending patterns, assess risk in real time, and automatically initiate fraud checks or offer tailored financial advice.
Benefits:
- Increases loan approval efficiency and customer engagement
- Reduces fraud and operational costs
- Enables 24/7, always-on financial support
Intelligent Process Automation (Robo-Ops)
Agentic AI automates back-office operations—such as onboarding, compliance checks, and claims processing—by integrating with multiple internal systems and making decisions based on real-time data.
Financial Services Roadmap:
- Assess Data and Integration Readiness: Map out data flows and integration points across legacy and modern systems.
- Start with Low-Risk, High-Volume Processes: Automate routine tasks (e.g., KYC, transaction monitoring) with agentic AI pilots.
- Implement Human Oversight: Use human-in-the-loop frameworks for critical decisions.
- Expand to Personalized Services: Gradually introduce agentic AI for customer-facing advisory and risk management.
Healthcare: Automating Patient Intake, Claims, and Clinical Workflows
Automated Patient Intake and Claims Processing
Healthcare organizations are burdened by administrative complexity and data silos. Agentic AI automates patient intake by extracting information from unstructured documents, verifying insurance eligibility, and initiating claims—all while ensuring compliance with privacy regulations.
Benefits:
- Reduces administrative workload and errors
- Accelerates patient onboarding and claims resolution
- Improves patient and provider satisfaction
Clinical Decision Support and Workflow Orchestration
Agentic AI assists clinicians by summarizing patient histories, flagging potential risks, and coordinating care across departments. For example, an AI agent can monitor EHR data, identify patients at risk of readmission, and trigger follow-up actions automatically.
Healthcare Roadmap:
- Prioritize Data Interoperability: Invest in EHR integration and data standardization (e.g., FHIR/HL7).
- Pilot Administrative Automation: Start with claims or intake processes to demonstrate ROI.
- Expand to Clinical Workflows: Introduce agentic AI for care coordination and decision support, with strong compliance and audit trails.
- Establish Governance: Implement privacy, security, and ethical frameworks to ensure trust and regulatory compliance.
Building Your Agentic AI Roadmap: Key Considerations
- Integration Is Everything: Agentic AI’s power lies in its ability to connect and act across systems. Assess your current tech stack for interoperability and invest in APIs, event-driven architectures, and cloud-native platforms.
- Start Small, Scale Fast: Begin with focused pilots in high-impact, low-risk areas. Validate value, then expand to more complex workflows.
- Human-in-the-Loop: Maintain oversight, especially for high-stakes decisions. Design workflows where humans can intervene, audit, and continuously improve AI performance.
- Security and Ethics: Build in data privacy, compliance, and ethical guardrails from the start. Use audit logging, access controls, and bias detection to ensure responsible AI use.
- Upskill Your Workforce: Invest in training employees to work alongside AI agents, focusing on oversight, quality control, and creative problem-solving.
Why Publicis Sapient?
With decades of digital transformation expertise and a proven track record in AI integration, Publicis Sapient partners with organizations to design, build, and scale agentic AI solutions tailored to industry-specific needs. Our proprietary platforms, such as Bodhi and Sapient Slingshot, accelerate system integration and workflow automation, while our human-centered approach ensures that technology augments—not replaces—human brilliance.
Whether you’re in retail, financial services, healthcare, or beyond, the future of business is agentic. The organizations that act now—experimenting, integrating, and scaling agentic AI—will define the next era of industry leadership.
Ready to put agentic AI to work in your industry? Let’s connect.