Asset & Wealth Management

Advice at scale is an operations problem

The constraint on growth isn't insight — it's how many client-specific decisions an advisor can make well in a week. We automate the assembly around those decisions and leave the judgment where it belongs.

5–8 hrs

advisor time returned per week

25–40%

reduction in NIGO rework

Every

AI-assisted output logged for supervision

The decisions that matter

We start with the decision, not the technology

What should this client hear this quarter?

Personalization is limited by prep time, not by data. Agents assemble the household-specific narrative; the advisor owns the recommendation.

Is this account still suitable?

Drift in objectives, holdings, and life events is observable long before an annual review surfaces it.

Where is onboarding stalling?

Document chase and NIGO rework dominate time-to-funding far more than any investment decision.

Why now

  • The generational wealth transfer moving assets to a different buyer
  • Fee compression against rising service expectations
  • Advisor capacity constraints and succession gaps
  • Supervision expectations extending to AI-assisted communications

Where we start

Meeting prep and follow-up

Household context, portfolio changes, and open items assembled before the meeting and captured after it.

Onboarding and NIGO reduction

Document intake, validation, and chase sequences that shorten time-to-funding.

Supervision support

Communications review with citations, escalation rules, and a retained trail.

Common questions

What operators ask before the first call

How long before an advisor-facing agent pays for itself?
Meeting prep and follow-up automation typically returns measurable advisor hours within a single quarter, because the work being automated — pulling household context, summarizing portfolio changes — was pure assembly, not advice. The larger return shows up later, in capacity: advisors who get hours back can serve more households without the firm hiring ahead of revenue.
What data do we need before we can start?
Access to your CRM, portfolio accounting system, and whatever notes or call records advisors currently keep. Household-level history matters more than breadth — a firm with ten years of scattered notes on 200 households is in better shape than one with a clean system covering only new accounts. We work with what advisors already log rather than asking them to change behavior first.
How do we keep this compliant with supervision requirements?
Any AI-assisted client communication — a drafted email, a meeting summary sent to a household — is logged and routed through the same supervisory review your compliance team already applies to advisor communications. We don't treat AI output as exempt from existing controls; it's built to be reviewable within them, with citations back to the source data so supervisors can verify a claim without redoing the research.
Will clients know an AI helped prepare their meeting?
That's a disclosure and brand decision your compliance and marketing teams should own, not a technical constraint — the agent works in the background assembling what the advisor reviews and delivers. Most firms don't disclose research tooling any more than they'd disclose which portfolio analytics platform they use, but if your regulatory environment or client base expects disclosure, the workflow supports it without redesign.
Can this help with the succession and generational wealth transfer problem?
Indirectly and usefully: agents that maintain rich, continuously updated household context make it far easier for a successor advisor to pick up a book without months of relationship rebuilding, because the institutional memory lives in the system rather than only in the departing advisor's head. It doesn't replace the relationship, but it removes one of the biggest practical barriers to a clean handoff.
Tailored engagement

Advisor capacity diagnostic

We measure where advisor hours actually go, isolate the assembly work from the judgment work, and cost the first automation with a supervision model attached.