Agentic AI for Financial Services: From Discovery to Responsible Automation
Financial services leaders are being asked to move on two timelines at once. The market is accelerating expectations for AI-enabled efficiency, faster decisions and more personalized experiences. At the same time, banks, payments providers, insurers and wealth firms must operate within a landscape shaped by governance, explainability, security, auditability and human accountability. In this environment, speed matters—but only if it is paired with control.
Publicis Sapient’s Agentic AI Discovery Workshop for Financial Services is designed for that reality. In just a few hours, we help cross-functional teams move from broad AI ambition to a practical, prioritized path forward. The workshop brings together leaders from business, operations, technology, risk and compliance to identify where agentic AI can create measurable value, assess what is feasible in your current environment and define the next steps toward pilot, MVP and scaled execution.
This is not an abstract AI brainstorm. It is a focused working session built for regulated transformation—helping your organization find the right opportunities, align the right stakeholders and move quickly without compromising trust.
Why financial services needs a different AI conversation
Agentic AI goes beyond generating content or answering questions. It can help organizations find relevant information, understand complex context and take action across multi-step workflows. In financial services, that opens up meaningful opportunities to streamline onboarding, strengthen fraud response, support compliance teams, improve servicing operations and create more responsive advisory experiences.
But high-value financial workflows also carry higher stakes. They often involve sensitive customer data, model risk, interconnected legacy and modern systems, operational controls and regulatory scrutiny. That means the goal is not simply to automate more. The goal is to identify where automation and augmentation can work responsibly, where human review must remain in place and what governance is required to support adoption at scale.
Our workshop is built to help financial institutions think big, start small and act fast—while keeping control functions engaged from the start.
What your team can explore in the workshop
The session is tailored to your business model and priorities, but common areas of focus across financial services include:
KYC and onboarding
Agentic AI can help orchestrate onboarding journeys across channels by gathering required information, extracting and validating data from documents, identifying gaps, routing exceptions and triggering next-best actions. The result can be faster cycle times, reduced manual effort and a more seamless customer and employee experience—while preserving the controls required for regulated decision-making.
Fraud and transaction monitoring
Fraud teams need to detect meaningful risk quickly without overwhelming investigators with noise. Agentic AI can support this by surfacing suspicious patterns, coordinating investigative steps, summarizing relevant context and escalating the right cases for human intervention. This can help institutions improve responsiveness, reduce operational burden and strengthen risk management in real time.
Claims and servicing automation
For insurers and service-heavy financial businesses, many core workflows are document-intensive, repetitive and dependent on multiple systems and handoffs. Agentic AI can help ingest information, summarize case context, coordinate follow-up tasks and guide service professionals through next actions. That can improve consistency, service quality and speed, while keeping people in control of judgment-based outcomes.
Compliance support
Compliance teams manage growing volumes of policies, rules, cases and reporting requirements. Agentic AI can help gather information, prepare summaries, support review workflows and produce more traceable, audit-ready outputs. Rather than replacing expertise, it helps skilled teams focus attention where risk and impact are greatest.
Personalized advisory journeys
In banking and wealth management, timely, relevant engagement depends on the ability to connect signals, context and action. Agentic AI can support advisors by surfacing next-best actions, monitoring client signals and preparing context-aware recommendations. With the right guardrails and human oversight, firms can create more responsive and personalized journeys without losing the trust-based relationships at the heart of financial advice.
How the workshop journey works
Our approach mirrors the practical decisions financial institutions need to make before moving from experimentation to implementation.
1. Landscape mapping
We begin by understanding your current environment—systems, workflows, pain points, teams, constraints and dependencies. This includes where sensitive data lives, which processes are fragmented, where manual effort is slowing outcomes and which controls already shape the way work gets done. For regulated organizations, this stage is critical because it reveals not just where agentic AI could help, but where readiness gaps or risk considerations must be addressed first.
2. Use case discovery
Next, we identify where agentic AI can create practical value across the spectrum of find, understand and act. We look for opportunities where AI can surface information faster, improve decision support, coordinate actions across systems and reduce friction in high-volume workflows. Just as important, we examine where AI should augment human judgment rather than replace it.
3. Prioritization
Not every attractive use case is the right place to begin. Together, we evaluate options against business value, operational feasibility, integration complexity, governance needs and organizational readiness. We help teams ask the questions that matter: Which opportunities can deliver value quickly? What data and system access are required? Where is explainability essential? Which workflows demand escalation or human approval? What monitoring, auditability and controls will be needed for scale?
The outcome is a focused shortlist of two to three use cases with the strongest combination of value, readiness and strategic fit.
4. Action planning
Finally, we turn alignment into momentum. We define pilot candidates, identify key enablers and outline practical next steps toward validation, prototyping and MVP planning. That may include data and integration considerations, governance requirements, success metrics, ownership decisions and the operational changes needed to support delivery. The goal is to leave the session with more than ideas—with a credible path forward.
Built for alignment across the functions that matter
In financial services, AI initiatives do not succeed when they are owned by a single team in isolation. The most valuable opportunities usually sit across business lines, shared operations, core platforms and control functions. That is why the workshop is designed for a small, focused, cross-functional group—typically three to five stakeholders from relevant areas such as business leadership, operations, technology, digital, data, risk, compliance and service teams.
Bringing these perspectives together early helps institutions expose dependencies, resolve assumptions faster and make smarter prioritization decisions. It also helps build the stakeholder alignment needed to move from workshop output to real execution.
Responsible automation starts from day one
Financial institutions cannot separate innovation from control. Responsible automation is part of the discovery process, not something added later. Throughout the workshop, we help teams consider the foundational questions that shape successful adoption: How will access to sensitive data be managed? Which actions can be automated and which require human review? How will outputs be explained, monitored and audited? What security, privacy and governance guardrails need to be in place? How ready is the organization to adopt new workflows and ways of working?
This balance is what allows organizations to move with confidence. Some use cases may be ideal for rapid validation and low-risk experimentation. Others may offer larger long-term value but require more preparation across architecture, workflow redesign or controls. Our role is to help you see both clearly so you can invest where momentum and responsibility can move together.
From discovery to execution
The workshop is an effective starting point because it is designed to produce action, not just alignment. By the end of the session, your team will have a clearer view of where agentic AI can create value, a prioritized shortlist of practical use cases, stronger alignment across stakeholders and a next-step plan that supports responsible execution.
For financial services leaders, the question is no longer whether agentic AI has potential. It is where to begin, how to prioritize and how to build a path that meets the standards of a regulated enterprise.
If your organization is exploring AI for onboarding, fraud, claims, compliance or advisory journeys, Publicis Sapient can help you move from discovery to responsible automation—with clarity, speed and control.
Workshop essentials
- Your team: A cross-functional group of 3–5 stakeholders from business, operations, technology, risk, compliance and relevant financial-services functions
- Your time: A dedicated 4–5 hour session for collaborative discovery, prioritization and action planning
- Your input: Openness about current workflows, constraints, objectives, governance considerations and readiness factors
- Pre-work: Completion of a short survey to tailor the session and maximize value
Ready to identify the right agentic AI opportunities for your financial services business? Let’s define the use cases, roadmap and governance approach that can help you move faster—responsibly.