The last week of February has brought a blizzard of fintech updates, from new announcements by Orion out of its annual Ascent conference to more platforms with AI launches and integrations, plus a couple of leadership appointments thrown in.
Orion is expanding its Unified Managed Household strategy and rolling out an enterprise version of its Denali AI platform, moves aimed at helping advisors manage more complex client relationships without adding head count.
At its Ascent 2026 conference this week, the firm outlined a roadmap for Unified Managed Household, or UMH, that will let advisors manage assets across an entire client household through a single coordinated portfolio. The expanded service, expected later this year, builds on Orion’s previous work on unified managed account tax overlay technology.
The updated architecture will extend Orion’s custom indexing and trading tools across multiple accounts and registrations in a household, supporting tax overlay, cash and risk management, and values-based investment strategies. The company says UMH will integrate AI-enabled custodian statement analysis, AI-generated proposals, and digital account opening capabilities.
Ron Pruitt, president of Orion Wealth Management, said the UMH give advisors "real-time visibility and control across the full household portfolio" as it connects to the platform's trading, planning, and data capabilities.
On the AI side, Orion has gone live with an enterprise version of Denali AI, positioning it as a firm-ready “intelligence layer” that sits inside its platform and taps permissioned data from portfolio management, planning, CRM, reporting, and other systems. The tool is designed to give advisors and support teams a single prompt interface that can surface information, generate drafts, and automate prep work while preserving firm controls and human review.
Reed Colley, president of Orion Advisor Technology, framed Denali AI as a tool to let advisors “spend less time searching for answers and more time advising.”
The firm has also introduced two AI assistants, Report Assistant and Query Studio, to automate report creation and simplify data queries.
Other fintech providers are betting that AI’s next wave in wealth management will be less about prospecting and more about mining existing client data.
Hamachi.ai, an AI-powered wealth intelligence platform built for advisors and asset managers, announced a new integration with Orion’s Redtail Technology that brings policy-driven AI workflows into the CRM environment many RIAs already use.
Through the integration, advisors can use Hamachi to generate AI-assisted email drafts, household briefs, daily summaries, and workflow intelligence, using Redtail’s household, contact, activity, event and account data as structured context.
Redtail remains the system of record, while Hamachi applies firm-specific policies and controls designed to align with SEC and FINRA requirements and protect client data.
"Our AI supports clearer communication, stronger relationships and smarter decisions – without introducing new compliance risk," said Hamachi co-founder Brian McLaughlin.
Advisor CRM, an AI-native CRM platform focused on advisory firms, is taking a similar approach with Trove, a new opportunity discovery tool that sits on top of existing infrastructure. The company describes Trove as a system that monitors data across CRMs, custodians, email, meeting notes, insurance policies, and other sources to surface time-sensitive opportunities such as maturing CDs, annuity surrender dates, life events, and concentrated stock positions.
While Trove is currently in a closed beta with firms that collectively manage $6 billion in assets, Advisor CRM is pitching it as a way to find growth inside current client relationships rather than through external lead generation.
“Trove is designed to observe and surface opportunities without disrupting how firms operate, and without ever compromising data privacy," stressed Leibel Sternbach, partner and CTO. "Firms choose exactly which data the platform can access, and nothing is shared with third parties."
On the leadership front, Docupace and iPipeline are both reshaping their executive teams as they position for growth in a more data- and AI-driven market.
Docupace announced it has acquired InvestEdge, a long-standing provider of regulatory compliance software for bank trust departments, broker-dealers, and RIAs. With that move, it has named industry veteran Brian Filanowski as chief executive officer.
The deal folds InvestEdge’s ComplianceEdge platform into Docupace’s back-office and compliance suite, giving the combined company a footprint that spans automation, advisor workflows, onboarding, and enterprise compliance.
Outgoing CEO David Knoch called the acquisition “the natural evolution of our platform strategy,” stating that combining InvestEdge’s trade surveillance and fiduciary compliance expertise with Docupace’s operations technology “create[s] tremendous upside for any financial institution looking to move faster with less risk.”
Filanowski, who previously held senior roles at Dun & Bradstreet, Fitch Group, Bloomberg, and Thomson Reuters, will lead the integration and growth strategy. He said he plans to build on Docupace’s market position by developing new products that leverage AI, expanding the customer base and pursuing additional strategic acquisitions.
Meanwhile, iPipeline has added two senior executives to support its revenue growth and services delivery. The firm appointed Loren Brockhouse as chief revenue officer, overseeing North American sales, marketing, revenue operations, and customer experience, and Mike James as executive vice president of professional services, leading services delivery and operating models.
Describing Brockhouse as “a proven, people-first leader with deep experience building revenue systems," CEO Pat O'Donnell said his expertise will be important as iPipeline scales in an environment defined by rapid technological change and AI-driven opportunity.
James, who has led large-scale transformations at several enterprise software and services companies, said there is “a tremendous opportunity to build scalable delivery models that enhance customer outcomes, strengthen margins, and support the company’s long-term growth strategy.”
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