New “Total Agentic Sourcing” platform applies AI agents across all spend categories—helping procurement leaders reduce cycle times, improve supplier selection, and unlock measurable ROI at scale.
What is Total Agentic Sourcing?
Fairmarkit has introduced Total Agentic Sourcing, a new AI-driven platform designed to automate sourcing workflows across the full spectrum of enterprise spend. Built around KIT—an intelligent network of specialized AI agents—the platform enables procurement teams to execute sourcing events autonomously while maintaining oversight on strategic decisions.
The launch reflects a broader shift in procurement and supply chain operations, where organizations are under pressure to manage more spend, navigate supply risk, and demonstrate return on AI investments. While many enterprises are still piloting AI, Fairmarkit positions this platform as a move into real-world deployment at scale.

“Procurement is the exception. The CPOs who have deployed agentic sourcing at scale have the most credible AI story in the building — and now, the P&L to prove it,” said Kevin Frechette, Co-founder and CEO of Fairmarkit.

End-to-End Sourcing Automation Across Complex Supply Chains
At the core of the platform is KIT, which adapts to enterprise-specific categories, policies, and procurement rules. It can fully execute routine sourcing events without human intervention, while augmenting complex sourcing decisions with data, scenario modeling, and recommendations.
The system includes a network of agents designed to handle key procurement functions:
- Intake and requirements generation through conversational AI
- Automated RFx creation and event structuring
- Supplier discovery across a 2.7M+ supplier base with diversity tracking
- Real-time bid evaluation and total cost analysis
- Embedded compliance controls with full auditability
By integrating natively with ERP and procure-to-pay systems, the platform eliminates manual handoffs—allowing sourcing events to be initiated, executed, and recorded seamlessly within existing enterprise workflows.

Proven Impact on Operational Efficiency and Cycle Time
Early enterprise deployments highlight the platform’s potential to streamline procurement operations and improve supply chain responsiveness.
Emirates Flight Catering has used KIT’s RFx agent for maintenance, repair, and operations sourcing, achieving an 85% reduction in sourcing cycle time—critical in environments with fixed schedules and fluctuating demand.
Boeing has leveraged the broader platform to eliminate 115,000 hours of annual cycle time across complex procurement activities, including sourcing for tooling and production-critical equipment.
These results point to a significant opportunity for procurement teams to shift focus from administrative tasks to higher-value activities such as supplier strategy and negotiation.
Redefining Procurement’s Role in the AI Era
The introduction of agentic sourcing signals a shift in how procurement functions create value within enterprise supply chains. By automating repetitive tasks and surfacing actionable insights, AI agents enable teams to operate with greater speed and precision.
This evolution positions procurement not just as a cost-control function, but as a strategic driver of resilience, efficiency, and competitive advantage across global supply chains.
“ServiceNow and Fairmarkit share the same conviction: enterprise AI has to act, not just advise. We built our platform to automate the workflows that move business forward; Fairmarkit built KIT to run sourcing events inside those workflows seamlessly. The results have been outstanding and speak to what’s possible with AI,” said Kirsten Loegering, VP Product Management, Finance & Supply Chain Workflows at ServiceNow.
This article was produced by the editorial team at Supply Chain Outlook and published as part of the Outlook Publishing global network of B2B industry magazines.
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