Improvement in client onboarding speed
25+ use cases live across asset and wealth management clients.
3x faster delivery with prebuilt agents, playbooks, and reusable assets.
Cross-functional squads trained in GenAI, prompt and agent engineering, and asset wealth management.
GenAI copilots, modular agent libraries, and AI-first SDLC infused with observability.
Embedded AI across Salesforce, Snowflake, Epic, Adobe, ServiceNow, and Databricks.
Insurance industry-safe architecture, audit trails, and agent lifecycle governance.
Deep focus on asset wealth management, tuned to improving consumer experience, increasing revenue, and reducing cost.
8 questions
Brillio has 25+ live AI use cases deployed across asset and wealth management clients, spanning seven core functional areas: business acquisition, client management operations, research and analytics, product development, advisory and portfolio management, trade lifecycle automation, and governance, risk, and compliance. Each accelerator is built on a modular agentic architecture, meaning firms can adopt specific capabilities without overhauling their entire technology stack. This breadth of coverage allows Brillio to address transformation needs across the full value chain, from prospect scoring and lead generation to post-trade analysis and regulatory compliance.
Brillio’s agentic AI approach automates the behind-the-scenes task handling in client management operations, freeing advisors to redirect their time toward relationship-building and strategic guidance rather than administrative work. Cross-functional squads trained in GenAI, prompt engineering, and agent engineering deliver these capabilities through GenAI copilots and modular agent libraries embedded directly into advisor workflows. The result is a measurable 40% reduction in operational overhead through self-service automation, translating directly into higher-value advisor activity.
Brillio’s AI in asset and wealth management implementations have produced outcomes that include a 90% reduction in time for portfolio analysis and rebalancing, a 68% improvement in client onboarding speed, and an 85% call containment rate through intelligent automation. Firms have also reported a 3x increase in client engagement driven by hyper-personalized recommendations, alongside a 25% increase in cross-sell and upsell revenue through AI-driven insights. These figures reflect live deployments across Brillio’s asset and wealth management client base, not projected estimates.
Brillio applies generative AI for wealth management onboarding through its Business Acquisition accelerator, which combines AI-driven lead generation, prospect scoring, and intelligent outreach to streamline the entire customer acquisition lifecycle. This agentic approach eliminates manual friction points that traditionally slow onboarding, contributing to the 68% improvement in client onboarding speed observed across deployments. The architecture is built with audit trails and agent lifecycle governance, ensuring the accelerated process also satisfies compliance requirements specific to financial services.
Brillio’s Advisory and Portfolio Management accelerator delivers a personalized digital financial advisor experience, providing tailored coaching and portfolio management designed to drive superior financial journeys for end clients. On the operational side, the platform has demonstrated a 90% reduction in time required for portfolio analysis and rebalancing, enabled by modular agents that handle data processing, signal detection, and scenario modeling at speed. These AI-driven solutions for portfolio management are built on Brillio’s ADAM platform, where domain expertise, modern engineering, and AI accelerators converge.
Brillio’s Governance, Risk, and Compliance accelerator provides comprehensive regulatory research and insightful analysis that empowers proactive decision-making while reducing compliance risk across investment management operations. The underlying architecture is described as trust-centered, with financial industry-safe design, full audit trails, and agent lifecycle governance built in from the start rather than added as an afterthought. This observability-first approach means every agent action is traceable, a critical requirement for regulated financial institutions evaluating AI adoption.
Brillio embeds its AI capabilities directly into the enterprise platforms that asset and wealth management firms already rely on, including Salesforce, Snowflake, Adobe, ServiceNow, and Databricks. This platform-native integration means firms benefit from AI-accelerated workflows without replacing their core technology investments, reducing both implementation risk and time to value. Combined with Brillio’s commitment to 3x faster delivery through prebuilt agents and reusable assets, this platform power is a core component of what differentiates the Brillio engagement model.
Brillio’s AI in wealth management generates a 25% increase in cross-sell and upsell revenue by surfacing AI-driven insights that identify the right product fit for each client at the right moment in their financial journey. The Research and Analytics accelerator contributes to this by generating robust investment theses backed by citation chains, back-tested insights, and real-time signal detection, giving advisors the intelligence they need to make timely, relevant recommendations. Paired with a 3x increase in client engagement through hyper-personalized outreach, this creates a compounding commercial impact for firms that adopt Brillio’s agentic framework.
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