2-week AI Audit
AI AuditVisibility, risk, outcomes.AI TransformationCapture AI value across workflows.AI GovernanceContinuous evidence for live AI.AI FluencyWorkforce that compounds.All servicesThe full service map.
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By industry
Private equityPortfolio-wide value capture.Regulated financeThe finance umbrella.Banks & capital marketsRegulator-defensible under SR 11-7.FintechShip trusted AI fast.Asset & wealthFor advisors and ops.REITs / real estateAI-driven NOI uplift.InsuranceUnderwriting + claims, instrumented.
Guides, templates, frameworks
Field notesEditorial reads on where AI work stalls.GuidesFinance AI systems, controls, and evidence.FrameworksLevers, maturity models, and control maps.TemplatesAudit memos and reusable eval artifacts.ScorecardsFast reads on adoption, strategy, and governance.Case studiesProof from AI work in finance.Golden datasetsReusable test sets for AI evaluation.NL-to-SQL evalsAudit-grade evidence for finance data agents.AI Audit resourcesInventory, Shadow AI, and board evidence.All resourcesBrowse the complete editorial library.
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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.

The Audit lands as a structured audit memorandum (opinion, materiality threshold, scope, exceptions, remediation) on the first three pages. Same shape the audit committee already reads from external auditors. The working-paper package feeds the year-end framework audit unchanged.

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.

Research or trade surveillance usually leads transformation.
  1. 01
    AI Audit
    Map use, value, risk, and next move.
  2. 02
    AI Transformation
    Ship the priority workflow with measures.
  3. 03
    AI Governance
    Control what ships and prove what changed.
  4. 04
    AI Fluency
    Train owners on the workflows that changed.
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 and disclosure artifacts your compliance team needs. We do not substitute for legal or compliance judgment; we feed the team that owns it.

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