Industries · Asset & Wealth + Capital Markets

AI for the firms that allocate and execute capital.

Asset managers, wealth managers, broker-dealers, capital-markets infrastructure. AI is already moving through research, CIO-assistant workflows, trade surveillance, client communications, and post-trade operations under the eyes of SEC, FINRA, and global capital-markets supervisors.

Built for capital-markets-grade auditability: traceable workflows, regulator-defensible evidence, and AI outputs tied back to the policy perimeter.

Definition

AI for asset and wealth management has to stand up inside research, advisor, trade-surveillance, client-communication, and post-trade workflows. The AI Audit gives the operating read: where AI is running, where it creates value, where it creates risk, and what the next workflow should be.

Sub-sectors

Four sub-segments. One regulatory perimeter.

Sub-segmentBuyer profile
Asset managersCOO / Head of Technology; research and operations AI.
Wealth managersCOO / Head of Advisor Tech; client-comms and advisor-copilot AI.
Broker-dealersCTO / CCO; trade surveillance, communications surveillance, client intake.
Capital-markets infrastructureCTO / Head of Engineering; post-trade, market data, cross-venue analytics.
Workflows we transform

Where AI is moving the needle.

  • Research. investment-research synthesis, document ingestion, summarization with source attribution.
  • CIO assistant / advisor copilot. portfolio analysis, scenario generation, allocation drafting (with strict policy boundaries).
  • Trade surveillance. pattern detection, exception triage, regulatory query response.
  • Communications surveillance. pattern detection across email, chat, and call transcripts.
  • Client communications. drafting, personalization, suitability checks.
  • Post-trade operations. exception handling, reconciliation, settlement-fail diagnostics.
Compliance posture

SEC + FINRA. MiFID II for global. SR 11-7 where relevant.

EU AI Act for global subsidiaries. Trade surveillance and communications surveillance both live under regulator-accessible audit trails; the evidence pipeline is built for this exact shape.

How we sequence

Start with Audit. Sequence the workstreams.

One order, applied across the engagement. The AI Audit produces the operating read, then AI Transformation, AI Governance, and AI Fluency sequence per the customer's priority.

Sequence: research or trade surveillance usually leads transformation
  1. AI Audit
    See use, value, and risk.
  2. AI Transformation
    Ship value workflows.
  3. AI Governance
    Produce audit evidence.
  4. AI Fluency
    Raise role-level capability.
Next step

Start with an AI Audit baseline.

Discovery call. Calendar link within 60 seconds.

FAQ

Frequently asked.

Yes. Hedge funds sit under asset managers; the buyer profile and workflow shape are essentially the same.

The evidence pipeline produces the suitability + disclosure artifacts. We don't substitute for your compliance team; we feed them.

The evidence trail maps to whichever regulator is in scope: FCA, BaFin, MAS, ASIC, or another supervisor configured at engagement kickoff.