AI systems for modern financial services firms.

Operational AI infrastructure for KYC, compliance, client reporting, surveillance, and advisor operations — built for audit-grade environments.

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Financial Operations for the AI Era Scroll to Explore more

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You are losing time and revenue in predictable places

We have mapped operations at RIAs, fund administrators, family offices, and broker-dealers. The specifics change. The friction points do not.

01

Investor onboarding takes weeks, not minutes

KYC, accreditation, suitability, AML — each step asks for documents the investor has already sent twice. Forms get re-collected, signatures get re-chased, and a $5M commitment waits two weeks while ops chases a missing W-9.

Operational signal Onboarding cycle · 7–21 days, friction-loaded
02

Compliance is a paper trail held together with spreadsheets

Disclosures, attestations, supervisory reviews, trade attestations — every line of policy maps to a row in a spreadsheet that someone reconciles by hand once a quarter. Audit-ready only on Audit Day.

Operational signal Comp/audit prep · multi-week sprints, recurring
03

Client reporting is a manual assembly job

Quarterly reports require pulling positions, fees, attribution, and commentary across three systems. Analysts spend a week formatting PDFs that clients open, scan, and forward to their accountants without comment.

Operational signal Reporting prep · 40–80 hrs / quarter / team
04

Data lives in silos that do not talk

CRM, portfolio accounting, custody, document management, compliance — five systems, three vendors, two homegrown extracts. Asking 'how exposed are we to X?' takes a week and a senior analyst.

Operational signal Cross-system question lag · days, not seconds
05

Advisor and PM time goes to assembly, not advice

Senior people spend hours each week pulling prep packets, writing meeting notes, and reconciling positions. The work that earns the fee — judgment, relationships, strategy — gets the leftover time.

Operational signal Advisor admin · 30–45% of working week
06

Fraud and surveillance signals lag the activity

Suspicious trading, unusual transfers, anomalous communications — reviewed days after the fact, in batches, by exception. Recovery is a fraction of prevention.

Operational signal Detection latency · days to weeks behind activity

The operational lifecycle of a financial services firm

Before we talk about AI, we map the machine. Every firm we work with starts here — the four operational surfaces every client and entity touches, and the work that happens on each.

Stage 01

Onboarding & KYC

From first touch to funded account. Where new business is won — or lost to friction.

  • Investor intake Suitability, accreditation, qualification
  • KYC / AML Identity, screening, source of funds
  • Document collection Subscription, W-9/W-8, ID, formation
  • Account opening Custodian, sub doc, entity setup
  • Funding & confirmation Wires, confirmations, welcome
Stage 02

Compliance & operations

The systems of record that keep the firm audit-ready and the regulators satisfied.

  • Disclosures & attestations Quarterly, annual, employee-level
  • Surveillance & monitoring Trade review, comms, transfers
  • Policy & procedure Updates, distribution, attestation
  • Books & records Retention, retrieval, e-discovery
  • Audit prep Sampling, evidencing, response
Stage 03

Client servicing & reporting

The ongoing relationship — quarterly cycles, statements, queries, and the work between meetings.

  • Statements & confirms Generate, deliver, archive
  • Performance reporting TWR, IRR, attribution, commentary
  • Client requests Distributions, statements, queries
  • Meeting prep Packets, talking points, materials
  • Investor portals Self-serve documents and data
Stage 04

Investment & advisory ops

The work that actually moves the portfolio — and the operational tail it leaves behind.

  • Research synthesis Memos, comparables, models
  • Trade workflow Allocation, execution, settlement
  • Cap table & SPV ops Issuance, ledgers, waterfalls
  • Cross-fund analytics Exposures, look-throughs, scenarios
  • Knowledge retrieval Internal memos, comps, policies

AI is infrastructure, not a replacement for your advisors and compliance team

We do not believe in an "AI advisor." We believe in an AI operations layer that takes the predictable, repetitive, system-to-system work off your team so your licensed staff can spend their time on the work the regulation requires.

AI handles

The predictable, the repetitive, the system-to-system.

  • KYC packet collection
    Conversational intake, doc parsing, gap detection
  • Document classification
    Subs, IDs, W-forms, entity docs — auto-filed
  • Disclosure & attestation cycles
    Distribute, track, escalate, evidence
  • Surveillance signal aggregation
    Trade, comms, transfer pattern detection
  • Reporting assembly
    Performance, attribution, draft commentary
  • Cross-system retrieval
    Single-question answers across CRM/PA/custody
  • Investor communications
    Statements, confirmations, lifecycle nudges
Humans handle

The advice, the execution, the sign-off.

  • Suitability & advice
    What the client should do — and why
  • Investment decisions
    Allocation, position sizing, exits
  • Compliance sign-off
    CCO approves attestations and policies
  • Trade execution authority
    PM directs, trader executes
  • Client relationships
    Tough conversations, lifecycle planning
  • Audit & regulator response
    Final answers, attested by an officer
  • Anything irreversible
    Trades, transfers, accepted KYC, signed reports
Anything regulated passes through a human.

Trades, transfers, KYC sign-off, compliance attestations, accepted disclosures. The AI drafts, organizes, and surfaces — your licensed advisors and CCO decide and sign.

What we actually build

Six systems that map to the operational realities of running an audit-grade firm. None of them are chatbots in the marketing sense. All of them are operational infrastructure.

KYC & Onboarding Engine

01 · Onboarding

Conversational AI walks investors through KYC, AML, accreditation, and subscription — collecting ~150 compliance variables per investor and pushing structured data to ops.

Greet Profile Collect docs Verify Risk score Hand off
Cycle time Days → hours (typical)
Compliance variables ~150 per investor
Human checkpoint CCO/ops approves file
Touches: Web portal · DocuSign · CRM · Custodian

Disclosure & Attestation Cycles

02 · Compliance

Quarterly and annual disclosure cycles run as orchestrated workflows — distributed, attested, evidenced, and audit-ready without spreadsheets.

Schedule Distribute Collect Escalate Archive evidence
Coverage Employees, advisors, entities
Audit evidence Auto-archived per cycle
Human checkpoint CCO approves cycle close
Touches: HRIS · Compliance system · E-sign · Drive

Client Reporting Assembly

03 · Reporting

Quarterly performance, attribution, fees, and commentary drafts assembled from portfolio accounting and custody — analysts review and polish instead of pulling and pasting.

Pull positions Compute attribution Draft commentary Compile packet Review
Prep time 40 hrs → < 8 hrs / cycle
Source PA + custody + CRM
Human checkpoint Analyst approves draft
Touches: Portfolio accounting · Custody · CRM · Report builder

Investor & Cap-Table Operations

04 · Operations

Subscription tracking, SPV ledgers, waterfall calculations, and investor communications run as a system — every event has a state, every action has an audit trail.

Event Validate Update ledger Notify Reconcile
Scale Hundreds → thousands of SPVs
Audit trail Per investor, per event
Human checkpoint Ops approves distributions
Touches: Cap-table mgmt · Ledger · Email · Investor portal

Cross-System Knowledge Assistant

05 · Knowledge

Advisors and PMs ask questions of the firm's actual data — exposures, comps, prior memos — and get cited answers in seconds, not days.

Index Retrieve Cross-reference Cite Answer
Index scope Memos · positions · comps · policies
Citation policy Always cite source doc
Access control Role + entity ACLs respected
Touches: Drive · CRM · Research repo · Vector DB

Surveillance & Anomaly Aggregator

06 · Operations

Suspicious trades, communications, and transfers are surfaced to compliance with cited reasoning — pre-trade where possible, near real-time everywhere else.

Ingest Pattern detect Score + explain Route Resolve
Coverage Trade, comms, transfer activity
Reasoning Cited signals, not black box
Human checkpoint CCO/SIU adjudicates
Touches: OMS · Email/IM archive · Custody · BI

One investor, end to end

This is what the first twenty minutes of a new investor onboarding look like once the operational layer is in place. No ops triage, no back-and-forth, no audit-day scramble.

Thursday 9:18 PM +20 min · subscription sent
Lane 01 Main flow
F.01 · +0s
Investor arrives
Subscription portal, off-hours
System
F.02 · +5s
Profile captured
Entity type, jurisdiction, accreditation
AI
F.03 · +30s
Docs collected
W-9, ID, formation, source of funds
AI
F.04 · +45s
Screening
Sanctions, PEP, adverse media
AI
F.05 · +1m
Risk score
Tiering for review depth
AI
F.06 · +15m
Ops review
CCO approves on exception only
Human
F.07 · +20m
Sub doc sent
Pre-filled, e-sign requested
AI
F.08 · +20m
CRM + custodian sync
Investor record created end-to-end
System
Lane 02 Parallel
+1m AI Reminder cadence: 24h · 72h · 7d if doc gaps fire-and-track
+1m AI Advisor notified: "New investor onboarding queued" fire-and-track
+20m System Audit evidence packet archived to compliance vault fire-and-track
< 20m
Submission to sub doc
0
Ops hours required (clean files)
~150
Compliance variables captured
1
Place the investor lives (CRM)

Diagram is illustrative. Production traces include retries, fallbacks, and human-checkpoint pauses not shown here.

Fits into the stack you already run

We do not ask firms to migrate. We build the operational layer on top of the systems you have already invested in — your CRM stays the relationship system, your PA stays the portfolio system, and the AI lives in the seams between them.

CRM & client data
  • Salesforce
  • HubSpot
  • Wealthbox
  • Redtail
  • Affinity
  • Custom CRM
Portfolio & accounting
  • Addepar
  • Orion
  • Black Diamond
  • Tamarac
  • SS&C
  • Allvue
Compliance & docs
  • ComplySci
  • MyComplianceOffice
  • DocuSign
  • iManage
  • NetDocuments
  • Drive
Workflow & data
  • Custodian APIs
  • Plaid
  • n8n
  • Slack
  • Vector DB
  • Airtable
Read where the data lives

We do not replace your PA, CRM, or custody system. They stay systems of record. The operational layer is additive.

Audit-grade by default

Every AI write is timestamped, attributed, and reversible. SOC 2 / SEC examinations see a clean trail.

Custom systems welcome

Internal portals, fund ledgers, legacy accounting — we integrate where your work already lives.

How we think about AI inside a financial services firm

01

AI is operational infrastructure.

Not a feature, not a chatbot, not a magic button on a marketing page. The work it does is the same work your staff has always done — moved into a system where it runs reliably.

02

Accuracy is the floor.

Financial services is a regulated, audited business. If a system is not measurably more accurate than your current process, we do not ship it. We measure, calibrate, and disclose drift to compliance.

03

Operational fit beats novelty.

The best AI system is the one that disappears into the firm's actual workflow. If staff have to change how they work to use it, it is the wrong system.

04

Humans stay in the loop on advice and execution.

Suitability, allocation, trade execution, KYC sign-off, attestations — all go through a licensed human. The AI prepares, drafts, and surfaces.

Financial Services · Featured Deployment

KYC Onboarding Automation for Fund Administration

How a fund administration firm replaced fragmented, manual investor onboarding with a custom AI-powered KYC chatbot and multi-portal platform — automating KYC across 200+ LLCs and 300+ entities, built to scale to 1,000+ SPVs.

Read the case study

Ready to get started?

Book a consultation to discuss your AI strategy and see how we can help.

Get Started Now
How long does an engagement actually take?
A first system — typically KYC/onboarding or reporting assembly — is in production inside 4 to 8 weeks. We start with a workflow audit, ship a single high-leverage system end-to-end, and only then expand.
What does this look like for the firm during build?
A weekly working session with the CCO, COO, or head of ops, async access to advisors or analysts for workflow questions, and read-only credentials into the systems we are integrating with. No new platform to learn until the system is live.
How is client and investor data protected?
Data stays inside your existing systems. We do not store firm data in our infrastructure. Models we use are configured to not retain prompts, access is scoped per role and per entity, and audit trails are written to your CRM, PA, and compliance system.
What happens when the AI is wrong?
Every system has a human checkpoint at the regulated decision — submitting a KYC, sending a statement, attesting a disclosure, executing a trade. The AI surfaces and drafts; a licensed person accepts.
Do we need to switch off our current CRM or PA system?
No. Your CRM, portfolio accounting, custody — all stay systems of record. We build on top of them. The operational layer is additive.
How is this priced?
Fixed-fee for the initial audit and the first system. Retainer for ongoing operations, optimization, and additional systems. We do not bill hourly for AI work — outcomes, not seat time.

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