Operating Desks for Wealth.

Composable agentic blocks for operations, investments, growth and business management. Deployed on the stack you already own. Licensed as software.

 

Deploy one component. Add more as they earn their place.

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“The wealth management industry has a math problem. Advisors are retiring. Clients are more complex. The demand for advice is growing.
AI isn’t a threat — it’s the only way the math works. And it doesn’t arrive as one system. It’s software you switch on over time.”
– Dr. Vinay Nair

Capacity, function by function.

Agent Capacity - Traditional: 150 clients per advisors. Capacity with AI 1,000 clients per advisor

Client needs arrive faster than firms can serve them. TIFIN.AI changes the economics — and not only for advisors.

  • Advisors — 5–7x more client relationships
  • Operations — onboarding and servicing from weeks to under a day
  • Investment teams — the house view delivered to every advisor
  • Growth — coverage extended without added headcount
  • Firm leadership — profitability and capacity modeled continuously

Segments that were never viable to serve become viable.

Platform architecture.

Some assume a powerful enough model will figure out context and coordination. It won’t. Models don’t know when a client just lost a parent or has a tax liability, nor what matters in each workflow. That requires system architecture.

The more functions you run agents across, the more that matters — context has to survive every handoff.

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Human-System Experience

Proactive engagement across chat, documents, CRM, voice and mobile.

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Agent Orchestration

Coordinates multi-agent, multi-desk workflows — native and third-party.

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Agent Library

The components themselves, and what makes each one reliable.

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Context Layer

Unifies data, tools and business rules so agents act on goals.

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Enterprise-Grade Assembly

Privacy, compliance, observability, explainability.

Operational Workflows

Onboarding, account opening, transitions, monitoring and servicing.

Investment Workflows

Portfolio management, model delivery, research and reporting.

Growth Workflows

Marketing and distribution execution.

Business Management Workflows

Practice P&L, productivity, profitability, capacity and forecasting.

IN PRACTICE

A $10B+ RIA aggregator faced a bottleneck.

Onboarding new firms took 10-12 weeks of heavy operations work.

TIFIN.AI deployed onboarding and servicing agents to execute operational workflows including ACAT transfers, advisor support, and model monitoring.

  • Onboarding reduced from weeks to <1 day of human input
  • Operations teams reduced manual processes
  • Advisors receive automated client materials and meeting preparation

The aggregator now supports more RIAs with a smaller operations team.

Screenshot of client communicating with an agent.

Switch on one component. Measure it.

Questions?

What is AI for financial advisors, and how are AI agents used in wealth management?

AI for financial advisors refers to systems that use AI agents to automate and execute advisory, operational, and investment workflows. These agents handle tasks such as client onboarding, portfolio monitoring, meeting preparation, compliance checks, and account servicing. In wealth management, agents are orchestrated across workflows using shared data and context, allowing firms to scale service and deliver insights more efficiently.

How can AI agents help financial advisors serve more clients without increasing staff?

AI agents help financial advisors serve more clients by automating many of the operational and analytical tasks that normally require manual effort. Specialized agents can handle workflows such as client onboarding, portfolio monitoring, meeting preparation, compliance checks, and account servicing. By reducing time spent on administrative work and coordinating these processes in the background, AI agents allow advisors to focus on client relationships and strategic guidance—enabling teams to scale their capacity while still delivering personalized advice.

What is an agentic AI platform for wealth management?

An agentic AI platform for wealth management is a system that orchestrates multiple AI agents across advisory, operational, and investment workflows. Instead of standalone tools or chat interfaces, the platform coordinates agents using shared context, rules, and data infrastructure. This enables agents to execute tasks in sequence, integrate with enterprise systems, and operate within compliance requirements — with firms deploying the components they need, function by function, rather than adopting one all-or-nothing system.

How does AI improve operations for RIAs and wealth management firms?

AI improves operations for RIAs and wealth management firms by using AI agents to automate and orchestrate workflows such as onboarding, account transfers, reporting, and client servicing. Agents reduce processing time, standardize execution, and surface exceptions for human review. This allows operations teams to support more advisors and accounts while maintaining control and oversight.

Can AI help financial advisors deliver personalized advice?

AI enables financial advisors to deliver personalized advice by using orchestrated agents to analyze client data and portfolio holdings at scale. These agents generate tailored insights, prepare client materials, and monitor portfolios continuously. Advisors remain focused on relationships and decision-making while agents handle the underlying workflows, allowing personalized guidance to extend across a larger client base.

Is TIFIN.AI software or a services engagement?

Software. Sometimes headless. TIFIN.AI is a licensed platform of agent components that deploy into your existing environment and are configured to your data, rules and policies. Every customer runs the same components and receives the same releases. Implementation support comes with deployment — but the product is the software, not an engagement.

Do we have to replace our existing systems?

No. TIFIN.AI runs on top of the systems you already own — CRM, custodial platforms, portfolio accounting, research and market data. Agents connect through APIs and operate across those systems rather than replacing them. Your systems of record stay where they are.

Can we start with a single workflow?

Yes, and most firms do. Deployments start with the function where the bottleneck is clearest — onboarding, account transitions or meeting preparation — and expand from there. Because components share a context layer, each one added makes the others more effective.