COI.
search Request for Consideration arrow_forward menu
close Submit Innovation
close
Banking TRL TRL 9

Predictive Cash Management & Churn Analytics

domain Client: Canadian Multinational Bank handshake Provider: C3.ai schedule Deploy: 6 Months
86 Impact
Enterprise Ready
Evidence Score: 7/10
Strength: Tier 2

Executive Summary

ANALYST: COI RESEARCH

Deployment of enterprise AI applications to predict customer churn and optimize cash liquidity in branch networks.

rate_review Analyst Verdict

"Demonstrates value of AI in physical operations optimization; scaling across regions can be challenging due to data variability."

lock
Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Managing physical cash across a vast branch and ATM network is an expensive logistical challenge. The bank faced high costs associated with idle cash sitting in vaults (dead capital) and emergency armored truck deliveries for stock-outs. Simultaneously, the retail bank needed better visibility into customer attrition risk, as traditional churn models were reactive and often identified dissatisfied customers only after they had already moved their funds.

psychology The Solution

The bank deployed the C3.ai platform to unify data from ATM sensors, branch transactions, and customer interactions. For cash management, they built a predictive model that forecasts daily cash demand per location with high precision, optimizing delivery schedules and reducing idle balances. For churn, the system analyzes behavioral signals (e.g., declining transaction volume, complaints) to flag at-risk customers to relationship managers, suggesting specific retention offers.

settings_suggest Technical & Deployment Specs

Integrations
Branch Operations Systems
Deployment Model
SaaS
Data Classification
Internal
Estimated TCO / ROI
Platform license fees
POC Summary (2019-01-01 to 2019-06-01)

"Mexico branch network pilot."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Model Drift Medium Quarterly retraining

trending_up Impact Trajectory

Audited value realization curve

Improved Forecast Accuracy Verified Outcome
Primary KPIReduced Idle Cash Levels
Audit CycleProactive Retention Triggers

policy Compliance & Gov

  • Standards: OSFI
  • Maturity (TRL): TRL 9
  • Evidence Score: 7/10
  • Data Class: Internal

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 3
lock
verified_user
Technical Audit
PDF • Audited
lock

Related Intelligence

article
Competency-Based Education (CBE) Model
View Outcome →
article
Global HR Shared Services Optimization
View Outcome →
article
Dynamic Discounting & Supplier Portal
View Outcome →
Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for Canadian Multinational Bank without exposing sensitive IP or identities.

Private
lock_person

1. Raw Evidence

Audit ID: #PRIV-342
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-342

Strategic Action Center

Identify your current stage and take the next step.

rocket_launch
Replicate This Success
Want similar results? Request a deployment consultation.
psychology_alt
Submit Challenge
Have a different problem? Submit your problem statement.
publish
Publish Case Study
Submit your own verified evidence.
thumb_up
Verify Impact
Audit your existing solution.