Historically, high labor costs and limited ROI made it difficult for organizations to uncover and manage many untapped savings. With the integration of GenAI and Agentic-AI, Conduent’s FastCap® Finance Analytics solution enhances contract and spend analytics to accelerate contract intake, verify compliance, and identify procurement savings and tariff-related exposures with greater speed and accuracy.
For example, with a global logistics provider, FastCap identified in six months:
- $6 million from supplier optimization through spend forensics
- $2 million in overspending identified with contract-to-spend compliance comparison using Agentic-AI
- $7 million in overpayments beyond what the client’s Electronic Recording Process and other third-party tools had previously detected.
FastCap is built with a continuous analysis and feedback loop that strengthens Finance, Accounting and Procurement systems by identifying root causes, thereby preventing recurring issues and improving long-term outcomes.
Adding Control to Unmanaged Spend
Conduent deployed an Agentic AI‑powered autonomous sourcing platform to optimize procurement workflows and manage tail spend across 21 procurement categories for a global automaker. These categories typically include thousands of purchase orders averaging less than $1,000 each.
The platform autonomously identified suppliers, managed 43,000 bid requests, selected cost-effective options, and processed orders. Within four months, the system identified more than $3 million in savings. As adoption scales, additional significant savings are expected as more transactions flow through the autonomous sourcing engine.
Executive Perspective
“CFOs are under constant pressure to manage costs and unlock working capital in an increasingly complex business environment. Conduent is at the forefront of implementing GenAI and Agentic-AI solutions that deliver real benefits for financial teams,” said George Wehbe, President, Commercial Solutions at Conduent. “Clients using FastCap are transforming their financial processes by capturing significant savings faster, improving spend management, preventing leakage, and identifying the root causes of spend errors.”
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