AI-Powered Search for Financial Services

From Data Overload to Competitive Advantage

Financial institutions don’t have a data shortage. They have a data access problem. Research reports, client communications, regulatory filings, market intelligence, deal room documents, compliance records — it all exists, somewhere across ECMs, CRMs, shared drives, research databases, and compliance systems that were never built to work together. The result: analysts searching instead of analyzing, advisors duplicating work instead of advising, and compliance teams manually pulling documentation that should be instantly retrievable.

Sinequa’s AI-powered search platform gives every employee a single, intelligent access point to all of it — connecting knowledge across every system in the firm and turning fragmented data into actionable insight.

Proven Impact: $4.6M in Savings, $16.8M in Future Cost Avoidance

A leading American multinational financial holding company deployed Sinequa to solve a problem that was directly affecting customer service: finding information and assets had become virtually impossible, making it hard for employees to respond to customers with timely, relevant information. With Sinequa’s AI-powered search, employees can now locate company information right when they need it — with simplified, streamlined search across all content sources.

The measured impact: an estimated $4.6M in operational savings, and a projected reduction in future customer-facing hires of 10%, saving an additional $16.8M — driven by improved employee efficiency and reduced need to scale headcount to compensate for slow information access.

Five Use Cases Across the Financial Services Firm

Analysts and Advisors Instantly retrieve research, financial models, client history, and market insights across internal and external sources simultaneously — without switching between systems. Advisors go into client conversations with complete context; analysts spend time on analysis, not search.

Compliance and Risk Management Surface relevant policies, regulatory updates, audit trails, and historical decisions in seconds. Sinequa connects compliance teams to all relevant MiFID II documentation, KYC records, AML transaction histories, and regulatory guidance from a single interface — reducing audit preparation time and accelerating regulatory responses.

Asset and Wealth Management Sinequa gives wealth and asset managers a unified view of clients and portfolios — connecting CRM data, client communications, investment records, and compliance documentation. Sensitive data is protected through role-based access control inherited from source systems.

Operations Eliminate duplicated work and time-consuming manual searches across disconnected systems. When all firm knowledge is searchable from one place, operational teams stay informed, respond faster, and spend their time on the judgment calls that actually require human expertise.

Client Service Give relationship teams immediate access to client data, documents, and expertise. The ability to surface complete client context instantly — without asking clients to repeat information or putting them on hold — is measurable in client satisfaction and retention.

How Sinequa Works

• Connect — Break down knowledge silos and unify content from any source and in any format: ECMs, CRMs, deal rooms, research databases, compliance systems, shared drives, email archives, and more, through 200+ ready-to-use connectors.
• Organize — Automatically classify and enrich content using NLP and machine learning so information surfaces in context, not just as a list of results.
• Converse — Sinequa Assistant lets employees ask natural language questions of the entire firm’s knowledge base and receive synthesized, grounded answers — not generic AI outputs.
• Optimize — Search relevance improves over time based on user behavior, ensuring the platform becomes more accurate as the firm’s workflows and content evolve.

From AI-Powered Search to Agentic AI in Financial Services

Sinequa’s search foundation is what makes agentic AI in financial services trustworthy — every AI-generated answer is grounded in authorized enterprise data, not generic model outputs. For firms building their next-generation AI strategy, that’s the difference between a system compliance teams can audit and one they can’t deploy.