AI consulting services for finance and advisory firms, on the research, reporting, and compliance work that eats billable hours
Phos AI Labs builds and governs AI systems that run investment research synthesis, client reporting, compliance drafting, and reconciliation inside your existing operation. Every investment recommendation, fiduciary judgment, and regulatory sign-off stays with a licensed professional.
What are AI consulting services for finance and advisory firms?
AI consulting services for finance and advisory firms is the design, implementation, and governance of AI systems that run research synthesis, client reporting, compliance drafting, and reconciliation inside your operation.
Phos AI Labs defines the boundary between what AI prepares and what a licensed professional decides, then builds those systems inside a SEC and FINRA compliant environment so your advisors and analysts stay focused on the judgment calls that require their license.
What does AI implementation deliver for finance and advisory firms?
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95%
Of wealth and asset management firms have scaled generative AI to multiple use cases
Fewer than one in four executives report substantial business impact. The gap between adoption and outcome is an operational change problem, not a technology problem.
EY, Wealth and Asset Management AI Survey, 2025
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86%
Of wealth and asset management firms were surprised by the regulatory complexity of scaling AI
SEC supervision, books-and-records obligations, and disclosure rules stopped more builds than the model did.
EY, Wealth and Asset Management AI Survey, 2025
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15%
Of daily finance decisions will be made by agentic AI by 2030
Gartner projects that by 2030 agentic AI will make at least 15% of daily finance decisions, with 70% of finance functions using AI for real-time work. Firms building the governance foundation now are the ones with production systems when that shift arrives.
Gartner, Future of Finance AI Report, 2025
Trusted across 450+ builds by the LowCode Agency team
Why do most finance AI projects never leave the pilot?
Finance AI projects stall on regulatory complexity, unmeasured burden, and fiduciary risk debates that kill the administrative wins. The technology is rarely the reason. The work around it is.
The AI implementation decisions finance and advisory leaders are making right now
The firms moving fastest made the right calls early. These are the calls.
- Decision 01
Where does AI create the most value in our firm?
Back and middle office leads for a measurable reason: compliance, reporting, and reconciliation are high-volume, low-fiduciary-risk, and the hours are countable. Front office follows once the operational foundation is in place. Phos AI Labs identifies the right starting point in two weeks.
- Decision 02
Should a finance firm build, buy, or partner for AI implementation?
87% of firms rely on established closed-source models, per EY, and 62% prefer a hybrid of vendor AI and internal customization. Most still need a partner to govern those systems inside a compliant environment and build the recordkeeping layer around them.
- Decision 03
How do we keep a licensed professional on every regulated decision?
The boundary between where AI drafts and where a licensed professional reviews and signs must be defined before the build starts, and documented with the supervision record SEC and FINRA expect.
- Decision 04
How do we govern AI without slowing client-facing work?
Governance built as a foundation from day one is what makes front-office scaling possible. Added after the back-office build, it stops the next phase at the same compliance review that stopped the first one.
- Decision 05
How do we move from pilot to production?
Production readiness requires a defined fiduciary boundary, a redesigned workflow with a licensed review gate, and a named internal compliance owner. Most firms still in pilot are missing at least one.
Eight workflows Phos AI Labs runs so your licensed professionals stay on the decisions that require their judgment
From the research desk to the compliance queue, these are the analytical and administrative workflows delivering measurable time back right now. Every one keeps a licensed professional on the decision.
- 01
Investment and market research synthesis
Reads filings, research reports, and market data and produces a sourced summary ready for an analyst or advisor to review. The analyst owns the interpretation and the recommendation.
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02Client reporting and review prep
Assembles portfolio performance, account data, and talking points into a complete review packet before every client meeting. The advisor walks in prepared and owns every conversation.
- 03
Meeting notes and CRM updates
Captures the client meeting, drafts the follow-up actions, and logs the CRM update so advisors stop losing billable time to administrative work after every call.
- 04
Compliance and disclosure drafting
Drafts surveillance summaries, disclosure language, and regulatory correspondence from your policies and the existing record. A licensed compliance officer reviews and signs every filing before it goes out.
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05Reconciliation and document extraction
Reads custodial statements, account documents, and portfolio data and reconciles them into your systems, surfacing only the exceptions that need a person to resolve.
- 06
RFP and proposal drafting
Assembles RFP responses and new-business proposals from your prior work and approved language so your team answers more opportunities without rebuilding every document.
- 07
Client communications and routine Q&A
Drafts responses to routine client questions and status requests so licensed staff spend their time on planning conversations rather than managing the inbox.
- 08
Company knowledge for advisors and operations
Product documentation, planning playbooks, and compliance policies made answerable in plain language with the source attached, in real time, for anyone on the team.
AI prepares:
- Investment and market research synthesized, sourced, and ready to review.
- Client reports and review packets drafted from your own data.
- Compliance and disclosure drafts assembled for a licensed reviewer.
Licensed professionals decide:
- Autonomous investment decisions or trades.
- Unsupervised financial advice to clients.
- Final compliance or regulatory sign-off by the model.
How Phos AI Labs delivers AI consulting services for finance and advisory firms: three steps
The canonical Phos AI Labs arc, with the fiduciary boundary built into step one: AI Readiness Audit, then AI Foundation, then AI Implementation. You decide how far to go.
- Step 1
AI Readiness Audit for finance and advisory firms (2 to 6 weeks)
We define the fiduciary boundary and recordkeeping requirements first, then map where billable and operations hours go across your firm, and rank workflows by value and readiness. Standalone: 2 weeks. Full multi-department: 3 to 6 weeks.
- Step 2
AI Foundation: building inside your existing systems before anything goes live
We start with the highest-volume, lowest-fiduciary-risk workflows: typically research synthesis, client reporting, or compliance drafting. Every model runs on a compliant data posture, with a licensed professional approving every output that carries a recommendation or a regulatory filing.
- Step 3
AI Implementation: live workflows, measured from week one
Your advisors, analysts, and operations staff work directly with every workflow Phos AI Labs runs, and we track billable hours returned, reporting turnaround time, and compliance cycle time from the first week of live operation.
What does responsible AI implementation require in a finance and advisory firm?
SEC compliance, FINRA supervision, and fiduciary human oversight are built into finance AI systems before deployment. In a fiduciary, regulated business, the governance layer is a legal requirement.
- 01
A licensed professional on every regulated and fiduciary decision.
AI drafts, synthesizes, and reconciles. Investment recommendations, client advice, and compliance sign-offs stay with a licensed professional, logged with the supervision record regulators expect.
- 02
SEC and FINRA recordkeeping built into every workflow.
Supervision, books-and-records, and disclosure obligations apply to AI-assisted outputs, and the audit trail is built into the architecture from day one rather than added when the next examination arrives.
- 03
Client and portfolio data stays inside your compliant environment.
Client PII, portfolio data, and material non-public information never leave a governed boundary or reach a public model. A governed rollout closes the consumer chatbot exposure before it becomes a regulatory event.
- 04
SOC 2 readiness and enterprise client security.
Every system Phos AI Labs deploys is built to move your SOC 2 certification path forward and to satisfy the security questionnaires that arrive with institutional and enterprise client relationships.
- 05
Human oversight on every fiduciary or regulatory output.
Generative models are probabilistic and can produce confident, wrong answers. Every AI output carrying fiduciary, regulatory, or client relationship risk passes through a licensed professional before it is sent or filed. The system drafts and assembles; the professional reviews and signs.
What your finance or advisory firm gets from a Phos AI Labs engagement
Every engagement produces something your team owns, understands, and can run from day one.
AI Readiness Report.
Where AI belongs in your firm, ranked by value and sequenced by readiness, with the workflows worth building first and the decisions that stay with your licensed staff.
Compliance and governance framework.
Your AI use mapped against SEC, FINRA, and SOC 2, with supervision documentation, books-and-records audit trails, and a runbook your compliance team can reference at any examination.
Built and deployed systems.
Research synthesis, client reporting prep, compliance drafting, reconciliation, or a knowledge base for advisors and operations. Live, tested, and adopted before engagement ends.
Team training and enablement.
Your advisors, analysts, and operations staff trained on the tools they use daily, built around your specific workflows and compliance requirements.
A governance owner and runbook.
A named internal compliance owner and the documentation to keep AI governance running as models and regulations evolve.
Why finance and advisory firms choose Phos AI Labs over a generalist AI consultant or in-house build
450+ systems built. Claude (Anthropic) Partner. Select OpenAI Partner. That track record matters in finance AI consulting because the gap between a compliant governance document and a system running inside a regulated advisory operation is where most builds collapse.
- 01
We replace a hire you cannot make.
The person you need understands advisory workflows at the process level, knows how to build AI inside a SEC and FINRA compliant environment, and can manage implementation without disrupting active client relationships or triggering a compliance review. That role does not exist on a job board. Phos AI Labs is that capacity on a monthly engagement, without the headcount, the six-month ramp, or the $250K+ senior-hire cost.
- 02
We build the systems we govern.
Phos AI Labs ships systems with supervision requirements, books-and-records audit trails, and licensed review gates built in from day one. We govern from the inside because we know where production systems break under examination.
- 03
We define the fiduciary boundary before anything ships.
Most AI consulting engagements in finance fail at compliance review because nobody documented what the model prepares and what a licensed professional decides. Phos AI Labs defines that line during the AI Readiness Audit and builds it into every workflow before deployment.
For you if:
- You're a wealth or asset manager, RIA, advisory firm, or finance team feeling analytical and administrative overload.
- Research, reporting, or compliance paperwork is consuming time that belongs in client work.
- You need AI that works inside SEC, FINRA, and SOC 2 requirements.
- You will keep a licensed professional on every recommendation and regulatory sign-off.
Not for you if:
- You want AI making investment decisions or executing trades on its own.
- You want AI giving unsupervised financial advice to clients.
- You can't keep client data inside a compliant environment.
How much do AI consulting services for finance and advisory firms cost?
Scoped on a call, priced by firm size, structured so each phase funds the next.
Every engagement starts by finding where current spend, on manual research, rekeyed reporting, and compliance rework, can be redirected into systems that compound. The AI Readiness Audit finds that budget before we ask you for new budget.
- Explore the audit
Tier 1
AI Readiness Audit
from $10,000 fixedThe starting point.
Maps where billable and operations hours go and delivers a prioritized roadmap with SEC and FINRA governance, the fiduciary boundary, and compliant data posture defined. 2 weeks standalone, 3 to 6 weeks for a full multi-department audit.
- Explore AI Foundation
Tier 2
Phase 1 Build
from $15,000 /mo.Research synthesis, client reporting prep, compliance drafting, or reconciliation. Built, deployed, and adopted.
- Explore AI Consulting
Tier 3
Embedded AI Department
up to $50,000 /mo.Phos AI Labs as your finance AI team: strategy, implementation, governance, and iteration as your AUM and client base grow.
- Explore Nexus →
Nexus, the Private AI Workspace
From $500/mo per company, plus tokens.Playbooks, compliance policies, and product documentation answerable in plain language for your advisors and analysts. Client data stays inside your compliant boundary.
- Explore AI Employees →
AI Employees
$2,500/mo per role, all-inclusive.Autonomous agents running complete administrative workflows end to end, such as reconciliation or reporting prep.
Keep going
- 01
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Explore → - 04
AI Consulting
AI consulting that starts where your team already is. Phos AI Labs audits where AI belongs, builds the highest-value systems, and embeds as your AI team. Audit from $10K.
Explore → - 05
AI Governance
AI governance is the set of rules, access controls, and review steps that decide who can use AI, on what data, and how it gets shipped, installed inside a company's own tools and data.
Explore → - 06
Nexus, the Private AI Workspace
Nexus is a private, company-owned AI workspace grounded in your business knowledge. Rolls out in a couple of weeks. From $500/mo, priced by company.
Explore → - 07
AI Employees
An AI Employee is a trained digital worker that runs your recurring work inside your own tools. Rolls out in 3 to 4 weeks. From $2,500/mo per role.
Explore → - 08
AI Readiness Scorecard
Two free tools to benchmark your AI readiness: a 10-step scorecard and a 3-minute voice audit. Personalized priorities, no sales call required.
Explore → - 09
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