Portfolio proof

AI-Driven Budget Tier System

Intelligent budget approval with measurable time savings

An AI-assisted budget tier system that automates routine approvals while keeping finance teams in control of exceptions and policy.

75% Automation rate
40 hours/month Time saved
$50K+/year Cost reduction
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At a glance
  • 75% Automation rate
  • 40 hours/month Time saved
  • $50K+/year Cost reduction

Key metrics from live delivery and platform registry.

Challenge

Finance operations teams spend hours classifying transactions and routing approvals that follow predictable patterns month after month.

Approach

Statistical tier assignment, variance modeling, and workflow automation integrated into existing finance operations—with clear human override paths.

Outcomes

  • High automation rate on routine tier assignments
  • Material monthly hours returned to finance staff
  • Sub-second processing for classification at scale

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Live walkthrough built for institutional buyers — metrics, proof points, and implementation detail you can evaluate before a consultation.

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ROI by organization size

AI-driven tier system automates 75% of approvals, reducing costs and improving efficiency

Automate routine approvals, reduce approval bottlenecks

320% in Year 1 · 3 months

  • Cost savings: $25K/year
  • Time saved: 20 hours/month

Multi-department automation, tier-based routing

450% in Year 1 · 2 months

  • Cost savings: $75K/year
  • Time saved: 60 hours/month

Enterprise-scale automation, compliance integration

600% in Year 1 · 6 weeks

  • Cost savings: $200K+/year
  • Time saved: 200+ hours/month

Why teams choose it

Data-driven tier assignment with human override paths.

Uses real transaction history to classify categories, not hardcoded rules

  • 95%+ Accuracy
  • Self-Learning

$1.49M in transactions analyzed, 50+ categories classified automatically

  • $1.49M Processed
  • 50+ Categories

Built on Django/PostgreSQL, deployed on Heroku with 99.9% uptime

  • 99.9% Uptime
  • SOC 2 Ready

Evaluating CODA for your institution?

Start with a consultation — we map your operating context to relevant platform capabilities and walk through live proof where appropriate.