Wealth Management Executive AI Toolkit - Assets to unlock AI transformation

This product contains 12 unlocked, editable, and ready-to-deploy assets designed to accelerate your firm's AI transformation while actively mitigating regulatory risk. Stop paying tech consultants to build your roadmaps, and to research AI vulnerabilities. Download the blueprints and start building today.

• AI FinOps ROI Calculator
• What it is: An interactive financial model to quantify your AI investment.
• Why you need it: Enterprise AI requires SaaS seats, API tokens, and integration overhead. Plug in your firm’s advisor headcount, average hourly rates, and manual task volume to instantly generate a hard-dollar ROI projection. Use this to prove the business case to your CFO.

• AI Native Transition Project Plan
• What it is: A complete, 5-Phase Agile project management roadmap ready to import directly into Asana, Jira, or Monday.com.
• Why you need it: Takes the theory of AI integration and turns it into assignable tasks. Provides the exact milestones, task owners, and success metrics needed by your IT and Operations teams to execute the rollout seamlessly.

• AI Takeover vs Augmentation Mapper
• What it is: An interactive diagnostic matrix to map out your firm's automation boundaries.
• Why you need it: Input your firm's top manual workflows and score them on "Fiduciary Liability" and "Contextual Complexity." The tool automatically graphs exactly which tasks should be given full autonomy, and which require strict human oversight to prevent regulatory violations.

• Agentic AI Pitch Deck
• What it is: A 15-slide, professionally designed pitch deck for your C-Suite or Board of Directors.
• Why you need it: Don’t build your presentation from scratch. This white-label deck synthesizes the core strategic arguments for adopting Agentic AI. Drop in your firm’s logo, and you have a persuasive narrative covering the capability divide, ROI, and risk management.

• SOP 1: Above the Loop Supervision
• What it is: A Standard Operating Procedure for managing deterministic AI agents (e.g., fee billing, performance reporting, CRM entry).
• Why you need it: FINRA requires strict supervision of automated systems. This SOP provides the framework for operations staff to safely steer and audit AI agents, ensuring execution accuracy without slowing down the workflow.

• SOP 2: Within the Loop Collaboration
• What it is: A Standard Operating Procedure for advisors collaborating with AI on probabilistic tasks (e.g., portfolio proposals, tax memos, estate planning).
• Why you need it: The ultimate defense against "Automation Bias." Provides advisors with a mandatory "Fiduciary Pause Checklist" to ensure human empathy and factual verification are applied before any AI-generated advice reaches a client.

• System Prompt Engineering Blueprint
• What it is: A library of highly engineered, production-ready "System Harnesses" designed specifically for wealth management.
• Why you need it: Generic ChatGPT prompts fail in enterprise environments. This blueprint includes strict XML-tagged instructions for a Meeting Synthesizer (with PII guardrails), a Legal PDF Extractor, and a Fiduciary Control Agent whose only job is to audit other agents for math and compliance errors.

• Technical Brief for AI Policy Design
• What it is: The technical translation blueprint designed to be handed directly to your Chief Compliance Officer and outside legal counsel.
• Why you need it: Your lawyers don't intuitively understand "prompt injection" or "RAG poisoning." Save thousands in legal billable hours by handing your counsel this exact breakdown of technical vulnerabilities, so they can draft an Acceptable Use Policy that actually protects the firm.

• The AI Vendor Architecture DDQ
• What it is: A brutal, 30-point Due Diligence Questionnaire (DDQ) for vetting AI software and MCP plugins.
• Why you need it: Consumer-grade security questions won't cut it. This checklist forces vendors to answer the hard questions about Enterprise Private Cloud boundaries, zero-data-retention guarantees, and model training opt-outs before your firm signs a contract.

• The Agentic Audit Logging Architecture
• What it is: A system design specification for capturing AI audit trails.
• Why you need it: Solves the "Black Box Problem." Gives your IT developers the exact data schema required to log prompts, tool calls, and human reviews, ensuring you can explain every AI-generated recommendation to SEC or FINRA examiners.

• The Foundational Data Ontology Dictionary
• What it is: A Master Data Management (MDM) dictionary standardizing 15 core wealth management definitions for AI consumption.
• Why you need it: If your CRM defines "Household AUM" differently than your billing system, your AI will confidently hallucinate. This establishes the "Golden Record" definitions required to feed clean context to your models.