Agentic AI for Financial Services on AWS

Autonomous AI is moving from experimentation to enterprise execution. For financial institutions, that shift creates a compelling opportunity: apply intelligent, self-operating systems to the compliance-heavy, workflow-intensive operations that define banking, insurance, capital markets and wealth management. But in a regulated environment, value only emerges when AI is grounded in secure cloud architecture, trusted governance, enterprise context and modernization at scale.

Publicis Sapient helps financial services organizations make that transition with the combined strength of deep industry expertise, AWS-validated credentials and enterprise AI platforms built for production. As an AWS Financial Services Competency Partner, with additional AWS Migration & Modernization and Generative AI capabilities, Publicis Sapient helps firms move beyond isolated pilots to implement agentic systems that reason, plan, orchestrate tasks and improve business outcomes across the enterprise.

Financial institutions operate through dense networks of rules, approvals, handoffs and exceptions. Advisors need fast access to contextual knowledge. Operations teams manage high-volume, repetitive workflows. Risk and compliance leaders need transparency and control. Customer service teams must balance efficiency with trust. And all of this often sits on top of legacy platforms that were not designed for AI-native ways of working.

Agentic AI changes the equation. Instead of using AI only for point-task assistance, firms can deploy intelligent agents that collaborate with people and systems to execute complex workflows end to end. These systems can retrieve relevant enterprise knowledge, use tools, apply guardrails, hand off work when needed and maintain observability across the process. The result is not simply faster automation, but more adaptive operations that are aligned to business context and regulatory expectations.

In wealth management and advisory businesses, speed and relevance matter. Publicis Sapient has already helped a leading wealth management firm build a contextual search experience that ingests real-time financial data from multiple sources and improves how advisors guide clients. After migrating the solution to AWS, the firm was able to scale the platform to more than 20,000 advisors while meeting security requirements. Search response times were reduced by 80%, and more than 90% of advisors rated the contextual search experience as their favorite feature.

This is a strong foundation for agentic AI. The next step is to evolve search into agentic knowledge operations: systems that not only retrieve information, but also synthesize firm-approved insights, surface relevant product or policy context, prepare meeting briefs and support next-best-action workflows within governed boundaries.

Financial operations are rich with repeatable, rules-based work that often spans documents, data sources and downstream systems. Publicis Sapient’s documented agentic AI capabilities on AWS already include financial operations automation as a core use case category. With AWS-native services and enterprise orchestration, firms can apply agentic systems to activities such as operational case handling, exception routing, reconciliation support, document-intensive back-office processes and internal workflow coordination.

These are especially high-value opportunities because the work is both costly and sensitive. Agentic systems can reduce manual intervention, accelerate throughput and improve consistency, while keeping humans in the loop for critical decisions or complex exceptions.

In regulated industries, autonomy without control is a nonstarter. Financial firms need AI systems that can operate within explicit policy, security and compliance boundaries. Publicis Sapient’s approach is built around that reality. On AWS, Bodhi leverages Amazon Bedrock and agent capabilities to build secure, production-ready AI systems with safeguards, data protections and responsible AI principles. With guardrails, observability and enterprise controls embedded into the architecture, organizations can design agentic workflows that are traceable, governable and aligned to regulation-heavy operating models.

That makes agentic AI viable for use cases where process risk matters as much as process efficiency. Risk-aware orchestration can help institutions coordinate multistep workflows across functions, manage approvals and escalations more intelligently, and maintain visibility into how AI-supported decisions and actions were produced.

Customer operations are another natural fit for agentic AI in financial services. Publicis Sapient’s multi-agentic platform for customer services on AWS is designed to help organizations reimagine service through proactive, always-on AI-powered capabilities that augment human expertise with intelligent automation. The platform supports pre-built agent catalogues and workflow templates, customer-service-specific automation agents, observability and scalable deployment on AWS.

For banks, insurers and wealth managers, this opens the door to service models that move beyond isolated chat or call deflection. Agentic systems can support connected, multi-step service journeys, coordinate across enterprise systems and determine when human empathy or specialist review is required. That enables a shift from reactive service to more contextual, resolution-oriented experiences.

Many firms want agentic AI, but their architecture is not ready for it. Legacy mainframes, fragmented data and brittle workflows make it difficult for autonomous systems to access the context, tools and controls they need. That is why modernization is not separate from the agentic AI agenda; it is the enabler.

Publicis Sapient brings proven migration and modernization experience on AWS to help financial institutions build the right foundations. The company has achieved AWS Migration Competency and has shown how AI-powered modernization can accelerate complex change. In financial services, Publicis Sapient helped a major British retail and commercial bank modernize core COBOL-based systems, reducing manual effort for code-to-spec work by 70%, reaching 95% accuracy in generating specifications and increasing migration speed by 40% to 50%.

This kind of modernization work is what makes agentic systems practical at scale. When institutions modernize legacy applications, improve data access and establish cloud-native operating models, they create the environment where agents can securely integrate, reason and execute across real business processes.

Publicis Sapient combines strategic, product, engineering and data expertise through its SPEED approach to help financial institutions move from ambition to implementation. That matters because agentic AI is not just a model deployment challenge. It requires business process redesign, experience thinking, system integration, cloud engineering, governance and change management.

Publicis Sapient’s AWS credentials reinforce that capability. The company has achieved AWS Financial Services Competency, AWS Migration Competency, AWS Generative AI Competency and AWS Agentic AI Specialization, alongside AWS Premier Tier status. Together, these recognitions reflect the ability to build cloud-native, AI-enabled solutions for regulated enterprises and to deliver them at production scale.

At the center is Bodhi, Publicis Sapient’s enterprise-scale, framework-agnostic agentic AI platform. Built to help organizations develop, deploy and scale AI solutions with speed, efficiency and security, Bodhi supports specialized agents, industry context, workflow automation, decision support and enterprise governance. Running on AWS services such as Amazon Bedrock and related security and governance capabilities, it gives financial institutions the flexibility to innovate while maintaining the control their environment demands.

For financial services leaders, the question is no longer whether AI can support operations. The question is how to deploy autonomous systems responsibly in environments defined by risk, regulation and legacy complexity. The answer is to start with business-critical workflows, pair autonomy with governance and build on a modernization foundation that can sustain long-term change.

Publicis Sapient helps banks, insurers, capital markets firms and wealth managers do exactly that on AWS—turning agentic AI into a secure, observable and enterprise-ready capability that improves operations, empowers employees and transforms customer outcomes.

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