Give Every RM a Cape

An AI agent designed to streamline workflows, reduce tool fatigue, and turn every RM into high performing, insight powered superhero

The Problem

The Problem

Too many tools. Too much context switching.

RMs use multiple platforms every day — Salesforce for opportunities, Altiore for portfolios, Insights for reporting, PowerBI for performance, and WealthWiki for product knowledge.

Multiple tools

Manages Salesforce, Altiore, Insights, PowerBI, and WealthWiki—just to get through the day.

Reports & reviews

Spends hours customising performance updates for every client interaction.

Endless context switching

Jumps between platforms to piece together client notes and meeting briefs.

The Solution

The Solution

Meet the Cape. A smart assistant built for Wealth Managers.

A trusted sidekick that understands their world, speaks their language, and gets things done — instantly.

Summarise Client Portfolios Before a Meeting

Generate a quick performance snapshot and investment insights across all holdings before every client meeting.

Summarise Client Portfolios Before a Meeting

Generate a quick performance snapshot and investment insights across all holdings before every client meeting.

Search Past Meeting Notes by Client Name

Retrieve summaries or notes from previous meetings using just the client’s name

Search Past Meeting Notes by Client Name

Retrieve summaries or notes from previous meetings using just the client’s name

Search Past Meeting Notes by Client Name

Retrieve summaries or notes from previous meetings using just the client’s name

Get Compliance-Approved Product Summaries

Fetch the most recent, compliant summaries for any investment product, ready to be shared with clients.

Get Compliance-Approved Product Summaries

Fetch the most recent, compliant summaries for any investment product, ready to be shared with clients.

Get Compliance-Approved Product Summaries

Fetch the most recent, compliant summaries for any investment product, ready to be shared with clients.

Set Reminders for Client Follow-Ups

Cape sets reminders for future client interactions based on context, actions, or goals

Set Reminders for Client Follow-Ups

Cape sets reminders for future client interactions based on context, actions, or goals

Set Reminders for Client Follow-Ups

Cape sets reminders for future client interactions based on context, actions, or goals

Draft Follow-Up Emails Based on Conversation

Automatically generate professional follow-up emails summarising key discussion points and next steps.

Draft Follow-Up Emails Based on Conversation

Automatically generate professional follow-up emails summarising key discussion points and next steps.

Draft Follow-Up Emails Based on Conversation

Automatically generate professional follow-up emails summarising key discussion points and next steps.

Retrieve Internal Process Docs Instantly

Cape surfaces onboarding checklists, SOPs, and compliance guidelines on request—no need to browse folders.

Retrieve Internal Process Docs Instantly

Cape surfaces onboarding checklists, SOPs, and compliance guidelines on request—no need to browse folders.

Retrieve Internal Process Docs Instantly

Cape surfaces onboarding checklists, SOPs, and compliance guidelines on request—no need to browse folders.

Here’s How Cape Works for RMs

Understands Natural Language

Ask anything like: “Show me my top opportunities this week”

Turns human language into action

Client's Insight

Report Builder

Knowledge Base

Reduce Effort

Unified Access

Turns human language into action

Client's Insight

Report Builder

Knowledge Base

Reduce Effort

Unified Access

Executes Tasks Instantly

Prepares meeting briefs, fetches reports, tracks performance, shares documents — all in seconds

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

Integrates with Internal Tools

Salesforce, Altiore, Insights, WealthWiki, PowerBI — unified under one conversational interface

Cape Ai

Your stack

Cape Ai

Your stack

One Click Interface

Run client insights, reports, and workflows — from a single interface.

Assistant Engine

Boosts Productivity

Task Runner

Executes RM workflows in real-time

Opportunity Tracker

Always aligns with latest

Assistant Engine

Boosts Productivity

Task Runner

Executes RM workflows in real-time

Opportunity Tracker

Always aligns with latest

The Impact

The Impact

Engagement, Delight & Speed – All in One Click

For the RM: The Supercharged Hero

Saves 1–2 hours a day, closes deals faster, cuts through tool fatigue, and enters every client meeting with clarity and confidence.

For the RM: The Supercharged Hero

Saves 1–2 hours a day, closes deals faster, cuts through tool fatigue, and enters every client meeting with clarity and confidence.

For the Client: The VIP Experience

Receives hyper-personalised advice, faster access to reports and recommendations, and seamless engagement at every touchpoint.

For the Client: The VIP Experience

Receives hyper-personalised advice, faster access to reports and recommendations, and seamless engagement at every touchpoint.

For the Business: The Multiplier Effect

Accelerates revenue through faster conversion, reduces manual load on support teams, and builds a scalable model driven by smart automation.

For the Business: The Multiplier Effect

Accelerates revenue through faster conversion, reduces manual load on support teams, and builds a scalable model driven by smart automation.

It’s power, precision, and presence
all in one place.

Measure

Measure

That Reflect Real Impact

RM Productivity

Track time saved per RM each day, measure how many tasks are automated through the AI assistant, and monitor the reduction in tool-switching across their daily workflows.

RM Productivity

Track time saved per RM each day, measure how many tasks are automated through the AI assistant, and monitor the reduction in tool-switching across their daily workflows.

Client Engagement

Assess improvement in post-meeting satisfaction scores, monitor faster turnaround times for reports and product notes, and track the increase in meaningful client touchpoints each week.

Client Engagement

Assess improvement in post-meeting satisfaction scores, monitor faster turnaround times for reports and product notes, and track the increase in meaningful client touchpoints each week.

Client Engagement

Assess improvement in post-meeting satisfaction scores, monitor faster turnaround times for reports and product notes, and track the increase in meaningful client touchpoints each week.

AI Assistant Adoption

Measure active usage rates among RMs, identify the most frequent use cases by task type, and track model improvements driven by continuous RM feedback.

AI Assistant Adoption

Measure active usage rates among RMs, identify the most frequent use cases by task type, and track model improvements driven by continuous RM feedback.

AI Assistant Adoption

Measure active usage rates among RMs, identify the most frequent use cases by task type, and track model improvements driven by continuous RM feedback.

Outcomes

Track growth in new product penetration across client segments, measure increase in wallet share from existing clients, and monitor uplift in revenue generated directly through AI-assisted meetings and recommendations.

Outcomes

Track growth in new product penetration across client segments, measure increase in wallet share from existing clients, and monitor uplift in revenue generated directly through AI-assisted meetings and recommendations.

Outcomes

Track growth in new product penetration across client segments, measure increase in wallet share from existing clients, and monitor uplift in revenue generated directly through AI-assisted meetings and recommendations.

Technology

Technology

Built to Integrate, Learn, and Scale

System Integration

The assistant connects seamlessly with core systems like Salesforce, Altiore, Insights, PowerBI, and WealthWiki, enabling unified access to client data, reporting, and opportunities through a single conversational interface.

System Integration

The assistant connects seamlessly with core systems like Salesforce, Altiore, Insights, PowerBI, and WealthWiki, enabling unified access to client data, reporting, and opportunities through a single conversational interface.

AI Engine & Language Intelligence

A natural language model, trained on RM workflows, interprets plain-text queries and converts them into structured actions, delivering real-time insights and triggering tasks in a context-aware manner.

AI Engine & Language Intelligence

A natural language model, trained on RM workflows, interprets plain-text queries and converts them into structured actions, delivering real-time insights and triggering tasks in a context-aware manner.

AI Engine & Language Intelligence

A natural language model, trained on RM workflows, interprets plain-text queries and converts them into structured actions, delivering real-time insights and triggering tasks in a context-aware manner.

Security & Compliance

The platform is built with enterprise-grade security, including role-based access, encryption, and audit logs, while aligning with internal compliance and regulatory standards.

Security & Compliance

The platform is built with enterprise-grade security, including role-based access, encryption, and audit logs, while aligning with internal compliance and regulatory standards.

Security & Compliance

The platform is built with enterprise-grade security, including role-based access, encryption, and audit logs, while aligning with internal compliance and regulatory standards.

Scalability & Flexibility

A modular architecture enables phased rollout starting with RM use cases, with the flexibility to expand across functions and deploy via web, desktop, or inside mobile.

Scalability & Flexibility

A modular architecture enables phased rollout starting with RM use cases, with the flexibility to expand across functions and deploy via web, desktop, or inside mobile.

Scalability & Flexibility

A modular architecture enables phased rollout starting with RM use cases, with the flexibility to expand across functions and deploy via web, desktop, or inside mobile.

Achievements

Achievements

How We'll Build Cape

Train for Enterprise Needs

We’ll use leading LLMs like GPT-4o and Mistral-7B, then fine-tune them with enterprise-specific prompts, data workflows, and retrieval pipelines to reduce hallucination and boost accuracy.

Train for Enterprise Needs

We’ll use leading LLMs like GPT-4o and Mistral-7B, then fine-tune them with enterprise-specific prompts, data workflows, and retrieval pipelines to reduce hallucination and boost accuracy.

Integrate With Your Stack

Our plan is to securely connect internal tools — CRMs, reports, knowledge bases, and compliance systems — using RESTful APIs and Retrieval-Augmented Generation (RAG) architecture.

Integrate With Your Stack

Our plan is to securely connect internal tools — CRMs, reports, knowledge bases, and compliance systems — using RESTful APIs and Retrieval-Augmented Generation (RAG) architecture.

Integrate With Your Stack

Our plan is to securely connect internal tools — CRMs, reports, knowledge bases, and compliance systems — using RESTful APIs and Retrieval-Augmented Generation (RAG) architecture.

Prototype, Test, Repeat

We’ll rapidly prototype using tools like Framer, gather real user feedback (especially RMs), and continuously iterate based on usage data.

Prototype, Test, Repeat

We’ll rapidly prototype using tools like Framer, gather real user feedback (especially RMs), and continuously iterate based on usage data.

Prototype, Test, Repeat

We’ll rapidly prototype using tools like Framer, gather real user feedback (especially RMs), and continuously iterate based on usage data.

Build for Scale & Security

Security-first from the start — we'll layer Cape with RBAC controls, SOC 2-aligned processes, and tokenized API access to ensure it meets enterprise-grade standards.

Build for Scale & Security

Security-first from the start — we'll layer Cape with RBAC controls, SOC 2-aligned processes, and tokenized API access to ensure it meets enterprise-grade standards.

Build for Scale & Security

Security-first from the start — we'll layer Cape with RBAC controls, SOC 2-aligned processes, and tokenized API access to ensure it meets enterprise-grade standards.

The Prototype

The Prototype

Get a glimpse of Cape

Your AI partner for sales workflows, reporting, and insights—in seconds.

Let Cape do the work, so you can scale faster