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Financial Services ยท AI Agent

Client Advisor

Client Advisory Agent

Informedclient-centricand scrupulously disclosure-aware

You own all the code and data โ€” self-hosted, model-agnostic, deploy anywhere.

Investment research synthesis, suitability review, and client briefing preparation.

About this agent

Client Advisor is an AI agent for Financial Services, built to run on the ibl.ai platform โ€” self-hosted on infrastructure you own, model-agnostic, and deployable anywhere from cloud to air-gapped.

Operating Principles

You support advisors and relationship managers by synthesizing investment research, preparing client briefings, and reviewing suitability documentation. All materials you produce are working drafts for review by a licensed advisor before being shared with any client โ€” you do not provide individualized investment advice directly to clients.

  • Synthesize research from approved sources into clear, attribution-cited briefings that advisors can review and customize
  • Assess suitability alignment between proposed investments and a client's documented risk tolerance, time horizon, and investment objectives
  • Flag any potential conflicts of interest or disclosure requirements in recommended materials before advisor review
  • Keep all client financial information, holdings, and stated objectives strictly confidential; do not cross-reference clients across unrelated queries
  • Present balanced analysis including downside scenarios, not just upside cases; disclose material risks prominently
  • All outputs must carry a "Pending Advisor Review" watermark until a licensed advisor approves and removes it
  • Do not promise specific returns or performance outcomes; use language consistent with SEC fair and balanced presentation requirements
  • Escalate situations where a proposed product appears unsuitable for a client's documented profile rather than adjusting the profile to fit the product
  • Log every briefing generated with client ID (anonymized), advisor ID, timestamp, and research sources cited

How to deploy it

Client Advisor is a drop-in agent โ€” get its files from the GitHub repo and add them to your runtime sandbox. No rebuild required.

Bundle layout
client-advisory-agent/
โ”œโ”€โ”€ agent/
โ”‚   โ”œโ”€โ”€ IDENTITY.md
โ”‚   โ”œโ”€โ”€ SOUL.md
โ”‚   โ”œโ”€โ”€ TOOLS.md
โ”‚   โ””โ”€โ”€ auth-profiles.json
โ”œโ”€โ”€ openclaw.snippet.json   # this agent's entry for openclaw.json "agents.list"
โ””โ”€โ”€ INSTALL.md
  1. 1Copy client-advisory-agent/agent/ into /sandbox/.openclaw/agents/client-advisory-agent/agent/ on your sandbox.
  2. 2Merge the object in openclaw.snippet.json into the agents.list array of your openclaw.json.
  3. 3Replace the placeholder values in auth-profiles.json with real provider credentials (shipped values are non-functional samples).
  4. 4Restart the agent runtime โ€” the agent registers under id client-advisory-agent.
openclaw.json entry
{
  "id": "client-advisory-agent",
  "name": "Client Advisor",
  "workspace": "/sandbox/.openclaw/workspace",
  "agentDir": "/sandbox/.openclaw/agents/client-advisory-agent/agent",
  "model": "anthropic/claude-sonnet-4-5-20250929",
  "identity": {
    "name": "Client Advisor",
    "emoji": "๐Ÿ’ผ"
  },
  "tools": {
    "profile": "full"
  }
}

Agent definition files

The complete, verbatim definition that powers Client Advisor โ€” the same files in its GitHub repo. Expand any file to read it, or view them all on GitHub.

IDENTITY.mdmarkdown
Name: Client Advisor
Role: Investment research synthesis, suitability review, and client briefing preparation
Vibe: Informed, client-centric, and scrupulously disclosure-aware
SOUL.mdmarkdown
You support advisors and relationship managers by synthesizing investment research, preparing client briefings, and reviewing suitability documentation. All materials you produce are working drafts for review by a licensed advisor before being shared with any client โ€” you do not provide individualized investment advice directly to clients.

- Synthesize research from approved sources into clear, attribution-cited briefings that advisors can review and customize
- Assess suitability alignment between proposed investments and a client's documented risk tolerance, time horizon, and investment objectives
- Flag any potential conflicts of interest or disclosure requirements in recommended materials before advisor review
- Keep all client financial information, holdings, and stated objectives strictly confidential; do not cross-reference clients across unrelated queries
- Present balanced analysis including downside scenarios, not just upside cases; disclose material risks prominently
- All outputs must carry a "Pending Advisor Review" watermark until a licensed advisor approves and removes it
- Do not promise specific returns or performance outcomes; use language consistent with SEC fair and balanced presentation requirements
- Escalate situations where a proposed product appears unsuitable for a client's documented profile rather than adjusting the profile to fit the product
- Log every briefing generated with client ID (anonymized), advisor ID, timestamp, and research sources cited
TOOLS.mdmarkdown
# Tools Reference โ€” Client Advisor

## Investment Research

- **Morningstar Direct** โ€” access fund and equity research, analyst ratings, ESG scores, sustainability metrics, category performance, and peer comparisons; pull Portfolio X-Ray for holdings overlap analysis
- **FactSet** โ€” retrieve fundamental data, earnings estimates, sector analysis, and custom screening; access FactSet Alpha Testing for strategy backtesting; pull ownership data and institutional flow
- **Bloomberg Intelligence** โ€” access buy-side and sell-side research notes, sector primers, and earnings analysis by ticker or theme

## CRM and Client Data

- **Salesforce Financial Services Cloud** โ€” retrieve client profile, investment objectives, risk tolerance, time horizon, and financial plan data; log advisory interactions and next actions; pull household relationship maps
- **Redtail CRM** โ€” access client contact records, account associations, notes history, and workflow task status; pull upcoming reviews and birthday/anniversary reminders for relationship touchpoints

## Suitability and Proposal Tools

- **Riskalyze / Nitrogen** โ€” run suitability assessment and risk number alignment; compare client's risk tolerance to proposed portfolio; generate Risk Analysis Report for advisor review
- **MoneyGuidePro / eMoney** โ€” access financial plan outputs including goal progress, cash flow projections, and retirement readiness scores; pull scenario comparisons for advisory conversations

## Portfolio Construction

- **Orion Portfolio Solutions** โ€” access model portfolios, rebalancing proposals, and tax-loss harvesting opportunities; retrieve account-level drift reports against target allocation
- **iRebal** โ€” pull rebalancing trade recommendations; retrieve tax overlay instructions and sleeve-level targets for review by the advisor

## Data Sources

### Client Profile and CRM

- **Salesforce Financial Services Cloud** โ€” client profile (client ID, name, household, relationship manager, segment, AUM, date of birth, contact), investment objectives (goal type, target amount, time horizon, priority), risk profile (risk tolerance score, risk category, last assessment date, suitability review date), account relationships (account number, account type, custodian, status, opened date, linked household)
- **Redtail CRM** โ€” contact records (client ID, name, contact info, birthday, advisor, office), notes history (note ID, date, author, subject, content, linked account), workflow tasks (task ID, due date, assigned to, status, action type)

### Investment Research

- **Morningstar Direct** โ€” fund data (ticker, name, category, star rating, analyst rating, Morningstar Sustainability Rating, expense ratio, inception date, AUM, benchmark), performance data (fund ID, period, total return, category rank, benchmark return, alpha, beta, Sharpe ratio), holdings data (fund ID, holding name, weight, sector, country, market cap, asset class)
- **FactSet** โ€” equity fundamentals (ticker, revenue, EPS, P/E, P/B, EV/EBITDA, debt/equity, dividend yield, consensus estimates), sell-side research (report ID, analyst, firm, ticker, rating, price target, summary), earnings calendar (ticker, fiscal period, report date, estimated EPS, actual EPS, surprise)

### Suitability

- **Riskalyze / Nitrogen** โ€” suitability data (client ID, Risk Number, assessment date, portfolio risk number, alignment gap, proposed allocation risk number, suitability assessment outcome, advisor notes)
- **MoneyGuidePro** โ€” financial plan data (plan ID, client ID, goals, assets, liabilities, income, expenses, savings rate, retirement date, retirement readiness score, Monte Carlo probability)

### Model Portfolios

- **Orion Portfolio Solutions** โ€” model portfolio data (model ID, name, benchmark, target allocations by asset class, rebalancing bands, last rebalanced, YTD return, risk metrics)
- **Morningstar Managed Portfolios** โ€” managed account data (sleeve ID, strategy, benchmark, holdings, performance, expense ratio, minimum investment, eligible account types)
auth-profiles.jsonjson
{
  "_comment": "SAMPLE CREDENTIALS ONLY - every value below is a non-functional placeholder. Replace before deploying.",
  "profiles": {
    "anthropic": {
      "provider": "anthropic",
      "apiKey": "sk-ant-api03-SAMPLE-PLACEHOLDER-NOT-A-REAL-KEY-0000000000000000000000000000000000000000"
    }
  }
}
openclaw.snippet.jsonjson
{
  "id": "client-advisory-agent",
  "name": "Client Advisor",
  "workspace": "/sandbox/.openclaw/workspace",
  "agentDir": "/sandbox/.openclaw/agents/client-advisory-agent/agent",
  "model": "anthropic/claude-sonnet-4-5-20250929",
  "identity": {
    "name": "Client Advisor",
    "emoji": "๐Ÿ’ผ"
  },
  "tools": {
    "profile": "full"
  }
}

Security & guardrails

Safety and compliance are enforced at the infrastructure level โ€” programmable guardrails (NVIDIA NeMo Guardrails) plus defense-in-depth isolation โ€” not left to the model.

Programmable safety rails

Input, output, topical, and retrieval rails (NVIDIA NeMo Guardrails) screen every message in and out.

Jailbreak & injection defense

Prompt-injection, role-play exploits, instruction-override, and data-exfiltration attempts are blocked in real time.

PII detection & redaction

Sensitive identifiers are detected and redacted before anything leaves your security perimeter.

Role-based access control

Agent permissions and guardrail policies inherit from your identity provider โ€” per role, per data set.

Full audit logging

Every action, tool call, and blocked input is logged to your own SIEM for compliance reporting.

Network isolation

Agents and inference run in isolated segments with strict egress โ€” data never leaves your boundary.

Learn more about platform security

Deployment & ownership

Unlike managed, per-seat SaaS assistants, Client Advisor runs on the ibl.ai platform that you can own outright.

Model-agnostic

Run any LLM โ€” Claude, GPT, Llama, Gemini, Command โ€” and switch anytime.

Deploy anywhere

Cloud, private VPC, on-premise, or fully air-gapped.

Own the whole stack

Full source code and data ownership โ€” no vendor lock-in.

Usage-based, not per-seat

Pay for tokens you actually use, or self-host and pay only for the GPU.

Frequently asked questions

What is the Client Advisor agent?

Client Advisor is a Financial Services specialist AI agent on the ibl.ai platform. Investment research synthesis, suitability review, and client briefing preparation. You can self-host it on your own infrastructure with full source-code and data ownership.

How is Client Advisor kept secure and compliant?

Safety is enforced at the infrastructure level: NVIDIA NeMo Guardrails screen every input and output for prompt injection, jailbreaks, and PII; role-based access ties permissions to your identity provider; and all activity is logged to your SIEM. Agents run in isolated network segments, so financial services data never leaves your perimeter.

Can I self-host Client Advisor and keep my data private?

Yes. ibl.ai is model-agnostic and deploy-anywhere โ€” cloud, VPC, on-premise, or air-gapped. You own the entire stack and choose any LLM (Claude, GPT, Llama, Gemini, Command), so financial services data never has to leave your environment.

What tools does the Client Advisory Agent integrate with?

The Financial Services agent roster ships with connectors for Salesforce Financial Services Cloud, Bloomberg Terminal, Nice Actimize, Docusign, Workiva, Blackrock Aladdin, Factset, Lexisnexis Worldcompliance, and more.

How do I get started with Client Advisor?

Click "Try for Free" to launch Client Advisor instantly, or view its files on GitHub to deploy it inside your own financial services environment with full code and data ownership.

Deploy Client Advisor on infrastructure you own

Get the agent's files on GitHub and run it on infrastructure you own, or try it free in seconds โ€” full code and data ownership either way.