Agentic AI Discovery for Healthcare and Life Sciences
In healthcare and life sciences, the opportunity for agentic AI is real—but so are the constraints. Provider organizations, payers and life sciences companies are under pressure to improve experiences, reduce administrative burden and modernize operations, all while protecting sensitive data, preserving trust and meeting strict compliance requirements.
That is why a generic AI ideation session is not enough. You need a focused, cross-functional workshop that helps your teams identify where agentic AI can create measurable value in regulated environments—and what it will take to move forward responsibly.
Publicis Sapient’s Agentic AI Discovery Workshop for Healthcare and Life Sciences is a hands-on, collaborative session designed to help your organization rapidly identify, prioritize and align on the highest-value agentic AI use cases for your business. In just a few hours, we help you move from broad ambition to a practical action plan grounded in operational reality.
Why healthcare and life sciences teams need a different approach
Agentic AI can do more than generate content or summarize information. It can connect insights to action across complex workflows, integrating with enterprise systems, coordinating multi-step tasks and supporting decisions in real time. In healthcare and life sciences, that opens up powerful possibilities across administrative, service and content-heavy processes.
But in regulated environments, speed alone is not the goal. Success depends on the ability to design AI-enabled workflows with privacy, auditability, governance and human oversight built in from the start. Teams must think carefully about interoperability across core systems, the quality and accessibility of data, the role of human review in high-stakes moments and the guardrails needed to support responsible adoption.
Our workshop is built for exactly that challenge: helping organizations think big, start small and act fast—without losing sight of compliance, operational feasibility or patient and customer trust.
What this workshop helps you achieve
By the end of the session, your team will have:
- A clear view of where agentic AI can create value across your most complex and time-sensitive workflows
- 2–3 prioritized use cases tailored to your organization and ready for deeper validation
- Cross-functional alignment and stakeholder buy-in across business, operations, technology, data and compliance teams
- A practical path forward with next steps, feasibility considerations and pilot planning guidance
This is not about chasing hype. It is about identifying the right places to apply agentic AI so you can reduce friction, improve quality and create momentum toward production.
Areas of focus for healthcare and life sciences
The workshop is customized to your organization, but common areas of discovery include:
- Patient intake and access: automating intake workflows, extracting data from unstructured documents, verifying eligibility and improving onboarding experiences
- Claims and prior authorization: streamlining documentation review, routing decisions, exception handling and claims-related workflows across legacy and modern systems
- Care coordination: supporting follow-up actions, surfacing relevant patient context and orchestrating next-best actions across teams and channels
- Content operations: improving the speed and scalability of content creation, localization, reuse and repurposing for healthcare and life sciences organizations managing complex content supply chains
- Compliance-heavy workflows: enabling AI-supported review, summarization, workflow orchestration and audit-ready process support where governance and traceability matter most
Across these areas, we focus on use cases that balance business value with responsible delivery. That means considering not only impact and ROI, but also system integration, privacy requirements, audit trails and where human-in-the-loop review should remain essential.
What to expect
Our workshop follows a proven structure, adapted for the realities of healthcare and life sciences.
1. Landscape mapping
We begin by mapping your current environment: systems, workflows, pain points, teams, constraints and dependencies. This includes understanding your data landscape, interoperability needs and the operational bottlenecks that limit speed, quality or scalability.
In regulated environments, this stage is critical. We look at where sensitive data is involved, which workflows require traceability and how existing tools, processes and controls may support—or hinder—agentic AI adoption.
2. Use case discovery
Next, we identify where agentic AI can create the most meaningful impact. We explore opportunities across the “find, understand, act” spectrum, from surfacing information and summarizing complex context to coordinating actions across systems and teams.
For healthcare and life sciences organizations, this often means uncovering opportunities in workflows shaped by high volume, fragmented data, repetitive manual effort and frequent review cycles. We also examine where agentic AI should augment human expertise rather than replace it.
3. Prioritization
Not every promising idea is the right place to start. Together, we evaluate potential use cases against your strategic goals, operational feasibility and compliance considerations.
We help your team prioritize based on questions such as:
- Where can we create measurable value quickly?
- What data and integrations are required?
- Which workflows demand human approval or escalation?
- How will privacy, security and auditability be maintained?
- What governance and monitoring capabilities are needed for scale?
The result is a focused shortlist of 2–3 use cases with the strongest combination of value, readiness and organizational fit.
4. Action planning
Finally, we translate discussion into momentum. We align on pilot candidates, outline key enablers and define practical next steps toward validation, prototyping and implementation.
This may include recommendations related to data readiness, workflow redesign, governance, stakeholder ownership, measurement and production planning. The goal is not just to identify ideas, but to create a credible path from workshop to execution.
Designed for cross-functional teams
The most valuable agentic AI opportunities in healthcare and life sciences sit across functions, not inside silos. That is why the workshop works best with a small cross-functional group of stakeholders—typically 3–5 participants from areas such as operations, IT, data, digital, compliance, customer or patient experience, claims, medical, marketing or content.
In a focused 4–5 hour session, we bring these perspectives together to build shared understanding, expose dependencies early and accelerate decision-making. A short pre-workshop survey helps maximize time and tailor the session to your priorities.
Why Publicis Sapient
Publicis Sapient brings together digital business transformation expertise, AI strategy, engineering and human-centered design to help organizations move from exploration to enterprise value. Our approach is grounded in strategy, product, experience, engineering and data and AI—so opportunities are evaluated not just for technical possibility, but for business relevance and real-world execution.
We help organizations qualify high-value AI opportunities, assess readiness, reduce implementation risk and build roadmaps that connect discovery to action. Our broader experience spans healthcare modernization, enterprise AI transformation and AI-enabled content operations in regulated settings.
That includes helping healthcare organizations accelerate claims-related modernization with human-in-the-loop validation, as well as helping life sciences teams transform complex content operations to improve speed, reuse and compliance readiness at scale. Across engagements, our focus remains the same: practical AI, responsible governance and measurable outcomes.
Ready to uncover your highest-value agentic AI opportunities?
If your healthcare or life sciences organization is looking to move beyond AI experimentation and identify where agentic AI can deliver real business value, our discovery workshop is a practical place to start.
Bring your priorities. Bring your constraints. Bring the stakeholders who need to align.
We’ll help you map the landscape, identify 2–3 high-value use cases and define the next steps to move forward with confidence.