How Bell Direct Cut Email Triage to Zero FTE with ClickUp AI Agents

Bell Direct, the online broking arm of Bell Financial Group, processes more than 800 client emails per day across service requests, client issues, and onboarding. The company deployed ClickUp AI Agents to fully automate email triage and task routing, replacing work that previously required two dedicated staff. The result was a 20% improvement in operational efficiency across the entire team.

Impact

20%

Operational efficiency gain

2 FTEs

FTE capacity freed by AI triage

800+

Daily emails handled by AI

Challenge

Bell Direct’s operations team was manually processing 800-plus client emails per day using two full-time staff, with work scattered across Microsoft Outlook, shared drives, a CRM, and spreadsheets—a structure that created routing delays, tool sprawl, and a ceiling on how much the team could scale.

Solution

The team deployed ClickUp as a unified operations workspace and built a Super Agent named Delegator that automatically ingests each incoming email, assesses urgency via AI-powered custom fields, classifies tasks by priority and client, and routes them to the correct team member in real time—eliminating the manual triage function entirely.

Tools & Technologies

What Leaders Say

The AI Agent has become part of the team. Previously, we needed two full-time employees just to triage and assign tasks. Now, the AI Agent does it all, instantly and accurately.

Jonathan Tan, Operations Manager, Bell Direct

Having the AI Agent integrated in the same workspace as our procedures and workflows is a game-changer. It can put its hands on the actual work item, move it, and control where it goes. Everything is consolidated into one hub.

Jonathan Tan, Operations Manager, Bell Direct

Anyone can start with AI Agents—you don’t need a development background. ClickUp has made it so easy to set up agents and introduce AI incrementally into our operating model.

Jonathan Tan, Operations Manager, Bell Direct
Get the full context.

Sign up to read complete case studies, access detailed metrics, and unlock all use cases.

Full Story

Bell Direct operates as the digital broking subsidiary of Bell Financial Group, one of Australia’s larger stockbroking and financial advisory firms. Serving private, institutional, and corporate clients across a high-volume platform, the operations team faces a continuous flow of incoming correspondence that must be categorized, prioritized, and directed to the right handler without delay. The speed and accuracy of that routing function directly affects client experience.

For years, Bell Direct managed its workflow across a patchwork of tools: Microsoft Outlook, shared drives, an internal CRM, and spreadsheets. This setup had served the team well enough for a decade, but as transaction volumes grew, the fragmentation became a constraint. Two full-time employees were assigned entirely to reading, categorizing, and routing the 800-plus daily emails that arrived from clients—work that consumed their capacity and left no room for higher-value tasks.

After a structured evaluation process, Bell Direct selected ClickUp as its central operations workspace. The initial implementation focused on consolidating documentation: all procedure manuals moved into ClickUp Docs so staff could answer process questions without relying on institutional memory or informal communication chains. ClickUp Brain was added to help client-facing staff write more precisely and efficiently. These early wins built confidence in the platform and set the stage for a more ambitious deployment.

The defining step was deploying a ClickUp Super Agent named “Delegator.” Each incoming email now becomes a task in the triaging queue. Delegator scans every message, assesses urgency using AI-powered custom fields that detect specific keywords, classifies the task by priority, client, and brand, and routes it to the appropriate team member—all in real time and without human intervention. The same agent that reads the email can move the task, update its fields, and direct it to the right queue because everything lives within the same workspace.

The results validated the approach. Two FTEs previously consumed by manual triage were freed to focus on analysis, exception handling, and client outcomes. Operational efficiency across the team improved by 20%. Urgent requests that previously sat in an inbox waiting for a human reviewer are now routed and flagged within seconds. Bell Direct is already developing additional agent use cases—document reading agents and OCR agents to extract structured data from forms—with the goal of extending automation further across the operations function.

Similar Cases

SB
State Bank of India
64 million
app downloads

State Bank of India partnered with IBM to build YONO, a comprehensive mobile platform combining banking, financial services, and marketplace that achieved 64 million downloads and a USD 40-50 billion valuation.

Financial ServicesIAIBM API ConnectICIBM Consulting
C
Campfire
3 days
reduction in monthly close time

Campfire embedded Claude into its accounting platform to automate monthly closes, bank reconciliation, and financial reporting. Customers now close their books 3 days faster, reconcile bank statements 90% faster, and generate reports 50% faster. Claude powers Ember, Campfire's AI chat interface for natural language financial queries.

Financial ServicesCAClaude API
N
nCino
3.5x
faster document filing

nCino, a cloud-based banking platform serving 2,800+ financial institutions, built domain-specific AI tools on Databricks and AWS leveraging 13 years of proprietary banking data. Their Banking Advisor delivers role-based AI insights natively within the platform, while Continuous Credit Monitoring automates risk alerts across the loan lifecycle. The result is 3.5x faster document processing and a shift from reactive to proactive portfolio management.

Financial ServicesAAWSSSalesforce
S
Stripe
1,370
engineers deployed

Stripe collaborated with Anthropic to create a signed enterprise binary of Claude Code, deploying it to 1,370 engineers with zero configuration. One team migrated 10,000 lines of Scala to Java in 4 days instead of 10 weeks.

Financial ServicesCCClaude Code
N
N26
70%
task automation in targeted processes

N26 deployed Claude via AWS Bedrock across 15+ internal use cases in its first year, automating up to 70% of tasks in targeted customer service processes and cutting manual processing by 50% across 24 European markets. New AI implementations now go from ideation to evaluation in 1–2 weeks.

Financial ServicesABAmazon BedrockCEClaude Enterprise
F
Fiserv
$10M
sla penalties avoided

Fiserv built safe, scalable AI automation on UiPath Platform with built-in governance, avoiding $10M in SLA penalties and onboarding 20,000+ QSR locations on schedule.

Financial ServicesUPUiPath Platform
TX
Terminal X
0.68 to 0.91
f1 retrieval accuracy improvement

Terminal X is a vertical AI platform for institutional investors that acts as a 24/7 research agent, processing millions of financial documents for hedge funds, asset managers, and private equity firms. By rebuilding its retrieval architecture on Pinecone’s vector database, Terminal X improved F1 retrieval accuracy from 0.68 to 0.91, cut average latency by over 35%, and doubled deployment velocity. Users now save approximately three hours per day, and investment memo preparation dropped from two days to half a day.

Financial ServicesTechnologyPPinecone
CC
Chipper Cash
95%+
selfie verification accuracy

Chipper Cash, a fintech serving over five million customers across Africa, deployed a Pinecone-powered facial similarity search system to detect and block fraudulent duplicate sign-ups in real time. The solution slashed identity verification latency from up to 20 minutes down to under 2 seconds, and reduced fraudulent sign-ups by 10x across all markets.

Financial ServicesGCGoogle CloudSSnowflake