Consolidates spend data across all sources, categorizes transactions automatically, identifies savings opportunities and anomalies, and delivers actionable insights—turning scattered data into strategic intelligence. All on your infrastructure.
"Board wanted to know our total IT spend. Sounds simple. We pulled data from our ERP, our procurement system, our AP system, and 14 departmental P-card accounts. Spent 3 weeks reconciling. Got to a number: $47 million. Then someone found $8 million in IT consulting buried in 'professional services.' Then another $3 million in SaaS subscriptions on expense reports. Our $47 million was actually $58 million. We were 23% wrong on a simple question about our own spending. That's when I realized we had no idea where our money was actually going."
— CPO, Financial Services Company ($4B revenue)
Deploy an AI that consolidates spend data from all sources, automatically classifies every transaction, identifies savings opportunities, and delivers insights in real-time—not quarterly.
Ingests data from ERP, AP, procurement, P-cards, and expense systems. Normalizes supplier names. Resolves duplicates. Creates single source of truth for all spend.
Categorizes every transaction using AI trained on your taxonomy. 98%+ accuracy. Handles edge cases. Learns from corrections. No more "miscellaneous."
Identifies consolidation opportunities, price variances, maverick spend, duplicate payments, and contract leakage. Quantifies savings. Prioritizes by impact.
Spend breakdown by category, subcategory, and commodity. Year-over-year trends. Budget variance.
Spend by supplier, concentration risk, fragmentation opportunities, relationship health.
Spend by division, department, cost center. Cross-BU comparison. Allocation accuracy.
Spend by region, country, location. Currency exposure. Local vs. global sourcing.
Spend under contract vs. off-contract. Contract utilization. Maverick spend identification.
Payment terms, early payment discount capture, duplicate payment detection, payment method mix.
Spend velocity, seasonality patterns, growth rates, anomaly detection over time.
Supplier concentration, single-source exposure, geographic risk, financial health indicators.
IT spend growing faster than headcount. Everyone buying their own tools. Marketing has 3 project management tools. Sales has 2 CRMs. Nobody knows what we already own. Classic SaaS sprawl, invisible in the data.
"Spend analysis alert: SaaS Redundancy Opportunity. Analysis performed: All IT software spend across ERP, P-cards, expense reports, and direct contracts. Finding: 247 unique SaaS subscriptions identified across organization. Redundancy detected: Project management: 3 tools (Asana, Monday, Basecamp) = $847K combined. Video conferencing: 2 tools (Zoom, Teams) = $234K combined (Teams included in M365). CRM: 2 tools (Salesforce, HubSpot) = $1.2M combined. Design: 3 tools (Figma, Sketch, Adobe XD) = $189K combined. Total redundant spend identified: 47 tools with overlapping functionality. Annual spend on redundant tools: $2.4M. Recommended consolidation: Standardize on primary tool in each category. Projected savings: $1.8M annually (75% of redundant spend). Implementation: IT governance + procurement policy update. Detailed report: Tool-by-tool comparison with user counts, costs, and recommended keeper."
You have preferred suppliers. You have negotiated contracts. But 23% of spend is going to non-preferred suppliers anyway. Departments buying off-contract. Nobody enforcing compliance. Savings evaporating.
"Maverick spend analysis: Contract Compliance Review. Total addressable spend: $247.3M. Spend under contract: $190.4M (77%). Off-contract spend: $56.9M (23%). Maverick spend breakdown: Office supplies: $1.2M off-contract (Preferred: Staples @ -18% discount. Actual: 34 different suppliers at retail). IT hardware: $3.4M off-contract (Preferred: CDW @ -22% discount. Actual: Amazon, Best Buy, direct from manufacturers). Travel: $2.1M off-contract (Preferred: Corporate Travel @ negotiated rates. Actual: Personal bookings reimbursed). Savings opportunity: Redirect office supplies to preferred: $216K savings. Redirect IT hardware to preferred: $748K savings. Redirect travel to corporate program: $420K savings. Total maverick savings opportunity: $1.38M. Quick win (no negotiation needed): $890K by simply enforcing existing contracts. Action required: Update procurement policy. Enable preferred supplier catalogs. Block non-preferred in P-card system."
Same invoice paid twice. Once via AP, once via P-card. Once in December, once in January. Supplier didn't complain. Nobody noticed. Money just... gone. Until the agent found it.
"Duplicate payment detection: Recovery Opportunity. Scan performed: 847,291 transactions over 24 months. Matching criteria: Invoice number, amount, supplier, date proximity. Potential duplicates identified: 847 transactions flagged. Verification performed: 412 confirmed duplicates, 435 false positives (legitimate repeat orders). Duplicate categories: Same invoice, different payment methods: 187 cases ($234K). Same invoice, different periods (month-end/beginning): 124 cases ($98K). Same invoice, different supplier codes (name variations): 67 cases ($52K). Same service, double-billed by supplier: 34 cases ($26K). Total confirmed duplicate payments: $410K. Recovery status: $312K: Recovery letters sent to suppliers. $67K: Credit memos already received. $31K: Disputed (supplier claims not duplicate). Prevention recommendation: Implement 3-way match on all invoices. Consolidate supplier master (reduce name variations). Add duplicate check to P-card reconciliation."
New category manager takes over logistics. Needs to understand the spend landscape. Current suppliers. Pricing trends. Contract expirations. Opportunity areas. Old process: 3 months of data gathering. New process: comprehensive view in hours.
"Category deep dive: Logistics & Transportation. Request: New category manager onboarding—complete spend landscape. Generated in: 2 hours 14 minutes. Total category spend: $44.5M (18% of total). Subcategory breakdown: Freight (LTL): $18.2M across 12 carriers. Freight (FTL): $14.1M across 8 carriers. Parcel: $7.8M (87% FedEx, 13% UPS). Warehousing: $4.4M across 4 3PLs. Supplier analysis: Top 5 suppliers = 78% of spend. FedEx: $9.8M (up 12% YoY, above market +3%). Preferred carriers: 3 contracts expiring Q2 2025. Opportunity assessment: FedEx premium vs. market: $340K annual opportunity. LTL fragmentation: 12 carriers, top 3 could handle 90% = consolidation play. Parcel split: UPS offering -8% to increase share—worth $624K. Contract timing: 3 renewals in 6 months—negotiate together for leverage. Recommended actions: Immediate: Request UPS proposal for increased allocation. Q1 2025: Issue RFP for consolidated LTL. Q2 2025: Renegotiate FedEx with competitive pressure. Total opportunity: $1.2M potential savings. Playbook attached: Full category strategy document."
Connects to ERP, AP, procurement, P-cards, expense systems. Normalizes and deduplicates. Single source of truth.
AI categorizes every transaction to your taxonomy. 98%+ accuracy. Learns from corrections.
Resolves supplier name variations. "IBM" = "International Business Machines." Clean supplier master.
Finds consolidation, price variance, maverick spend, and contract leakage opportunities.
Flags unusual spend patterns, duplicate payments, and budget overruns in real-time.
Drill-down visualizations. Slice by category, supplier, BU, geography, time period.
Year-over-year comparisons. Seasonality patterns. Growth rate tracking. Forecasting.
Auto-generates category reports, supplier reviews, and executive summaries.
Notifies on budget thresholds, contract expirations, and savings opportunities.
Reports to: Procurement / Finance
Availability: 24/7 (continuous analysis)
Scope: All organizational spend
Complete specification including data mapping, classification taxonomy, and savings calculation methodology.
Download .docxConnect your financial systems, configure your category taxonomy, and customize dashboards for your organization.
Pay once. Own the asset. Full source code on Google ADK. Deploy, modify, extend.
All financial data, analysis, and reports never leave your infrastructure. Complete confidentiality.
New classification models, integration updates, and analysis improvements. You own agents; you subscribe to safety.
Configure your category taxonomy, connect your systems, and customize dashboards for your needs.
Deploy the Spend Analysis Agent on your infrastructure. Total visibility. Continuous insights. Real savings.
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