Modera Wealth Management Launches Mira: A New Era of Agentic AI for Financial Advisors

Modera Wealth Management has launched Mira, a proprietary agentic AI platform designed to unify fragmented data and automate advisor workflows. For fintech professionals, this move signals a shift from surface-level AI tools toward deep enterprise integration, aiming to reclaim advisor capacity and streamline the integration of acquired firms through a centralized intelligence layer.

What was announced

Mira is an "always-on" platform that functions as a household-level system of record, integrating data from Modera’s existing wealth technology stack along with metadata and content from the firm’s document management system. The platform is built on an AI-enabled intelligence and orchestration layer intended to eliminate the need for advisors to toggle between disparate systems—a common industry pain point. This integration is designed to generate dynamic business insights that assist professionals in delivering bespoke planning and investment services to individuals, families, and institutions.

The development of Mira follows two years of strategic investment in technology leadership, data restructuring, and the creation of AI governance protocols. To ensure the accuracy of the platform’s outputs, Modera has established a dedicated working group to review and validate internal data and implemented a technology layer that restricts AI agents to specific, authorized datasets. This move addresses a specific efficiency gap; a 2025 Fidelity study reported that advisors spend, on average, only 41% of their time with clients and prospects.

Modera partnered with OnTrade to develop the digital agents powering the system. These agents are designed to assist teams with investment research, financial planning, and proposal generation by drawing on governed data to surface opportunities and evaluate scenarios. Beyond daily operations, Mira is designed to support the firm’s acquisition strategy, allowing newly joined firms to consolidate their data onto a common platform for AI-assisted risk monitoring and strategy reviews. The platform has been available firmwide since July 2026.

The companies involved

Modera Wealth Management, LLC is a fee-only wealth management firm that provides services to a broad client base, including individuals, families, business owners, and nonprofit organizations. The firm, which maintains a digital presence at parsecfinancial.com and moderawealth.com, emphasizes a human-led approach to financial planning and investment governance, utilizing technology to support rather than replace professional judgment. Modera’s leadership includes CEO Tom Orecchio and President Joe McCuine, who led the internal technology team during Mira’s two-year development cycle.

OnTrade is the technology partner responsible for powering the AI infrastructure behind the Mira platform. Led by CEO Raji Subramanian, OnTrade specializes in building adaptive platforms that integrate with a firm's distinctive operational workflows. The collaboration focuses on creating digital agents that draw on governed data to automate manual tasks while maintaining human oversight. By partnering with an external AI specialist, Modera aims to move beyond individual AI tools toward a broader enterprise strategy that connects workflows across planning and research departments. This partnership allows Modera to maintain an orchestration layer that draws on governed data across its entire system, rather than relying on fragmented tools that offer limited enterprise-wide benefits.

What this means

The launch of Mira highlights a growing trend in wealth management where firms are no longer content with off-the-shelf AI "assistants" and are instead building proprietary orchestration layers. By focusing on "agentic" AI—systems that can navigate multiple workflows and take action—Modera is addressing the productivity gap where advisors spend less than half their time with clients. This puts significant pressure on traditional wealth-tech vendors; if large firms successfully build their own intelligence layers, the value of standalone software seats may diminish. The success of this model hinges entirely on data governance, raising the stakes for firms with legacy data debt.