AI Agent

Spend Analysis AI Agent

Find 15% cost savings hiding in procurement spend

Procurement spend analysis takes weeks and misses savings. AI analyzes 100% of spend continuously and identifies 15% savings opportunities.

Benefits

Stop Leaving Cost Savings on the Table

Manual spend analysis takes weeks using incomplete data and misses savings opportunities. Vendor consolidation potential goes unidentified. Maverick spend outside contracts wastes 20%+ annually. This agent analyzes 100% of spend continuously and finds 15% savings.

15%

Cost reduction

100%

Spend visibility

Real-time

Spend analytics

Agentic Flows

Complete Spend Analysis Automation

Automated workflow: spend data extraction from AP and procurement systems, AI-powered spend categorization and enrichment, vendor consolidation opportunity identification, contract compliance tracking and maverick spend detection, price benchmarking and savings quantification, executive reporting and recommendations.

How it works

AI-Powered Spend Intelligence

The agent extracts and categorizes all spend using AI classification across categories, suppliers, and business units, identifies savings opportunities including vendor consolidation and contract compliance, benchmarks pricing against market data and identifies overpriced items, tracks maverick spend and recommends preferred supplier adoption.

Self-learning agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart model switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

Self-learning agents

The agent improves with every task, adapting to outcomes, applying feedback, and self-correcting using Constitutional AI.

Upto 98% accuracy

As a result of constant feedback loops, Beam AI Agents refine their approach with every cycle, leading to 98% accuracy across flows.

Smart model switching

We call it ModelMesh. Each agent selects the right model for the task, balancing speed, accuracy, and cost in real time.

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

استخراج رقم الطلب، معلومات البائع، معلومات التسليم، وتفاصيل الدفع من نماذج الطلبات المرفوعة.

مكتمل

ID-0E48

Integrations

Analyzes Spend from All Sources

Direct integration with SAP, Oracle, NetSuite, Coupa, and Ariba for spend data. Connects to credit card and P-Card systems. External benchmarking via market pricing databases. Exports to Excel, Tableau, Power BI for reporting and analysis.

Implementation

Analyzing Spend in 1 Week

Connect AP and procurement systems for spend data. Configure categorization rules and savings thresholds. Most companies identify 15% savings within 7 days of deployment.

Step 1

Agent discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 1

Agent discovery

Conduct workshop(s) with relevant stakeholders to identify and prioritize use cases and map the requirements

Step 2

Agent setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 2

Agent setup

Develop and launch your first agent with basic logic and integration (process scoping and recording, test dataset of 30-50 examples, baseline agent running and testing with target output mapping)

Step 3

Agent training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 3

Agent training

Test performance and gather feedback from process users (agent optimization up to 80% against expected output, variable-level accuracy measurement and optimization, integrations setup, and feedback API interfacing)

Step 4

Agent live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Step 4

Agent live

Extend to more workflows and client teams (live and continuous monitoring, human-in-the loop interfacing, node auto-tuning for automated prompt enhancements, >90% accuracy improvement, weekly business logic improvements)

Key Features

Spend Intelligence Features

AI Categorization

Classifies 100% of spend automatically by category, supplier, and department. No manual coding required.

Savings Identification

Identifies vendor consolidation, contract compliance, and pricing optimization opportunities continuously.

Benchmarking

Compares pricing to market data automatically. Flags overpriced purchases and negotiation opportunities.

Demo

See Spend Analysis in Action

Watch the agent analyze $50M annual spend: categorize 100%, identify 200 vendors for consolidation, find $7.5M savings opportunities, detect $3M maverick spend—with recommendations.