How Fairmarkit is Powering ‘Total’ Agentic Sourcing

The discussion around procurement’s workload has been exhausted, but no one can deny its reality. Most teams running these operations are being asked to do more, but there are more challenges. More spend under management, more supply risk to navigate and more pressure to show AI ROI – with fewer resources to do it.

Technology, specifically AI, seems to be the answer most procurement leaders look towards, but only 12% have moved it beyond pilots.

Fairmarkit says its customers are in that 12%, and says: “The results they're reporting are chased by every enterprise department.”

Elevating aviation sourcing

A couple of aviation companies have all enlisted the help of Fairmarkit to help their function to soar:

Emirates Flight Catering has been leveraging KIT’s adaptive RFx agent for Maintenance, Repair and Operations contracts such as thousands of conveyor parts. The company has achieved an 85% reduction in sourcing cycle time in an industry where flight schedules are fixed, food safety is non-negotiable and demand shifts daily.

Boeing is also an early adopter of KIT’s RFx agent. Using the Fairmarkit platform as a whole, the company has already eliminated 115,000 hours of cycle time annually across a complex procurement ecosystem spanning many teams and categories, including the goods that keep production running: tooling, specialty equipment and machine supplies.

“Enterprise AI is long on promises, short on proof,” says Kevin Frechette, Co-Founder and CEO of Fairmarkit. “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.”

Its efforts have been noticed across the industry, as it was recognised by Gartner’s research notes: “How AI‑Enabled Machine Buyers Will Transform Procurement,” “Source-to-Pay Agentic AI Use Cases”, and “Innovation Spectrum: Agentic AI Leadership Requires Adaptive, Explainable & Collaborative Capabilities”.

These reports explore the emerging role of AI agents in procurement, as well as the essential differentiators AI companies need in the agentic age.

“Over the past year we’ve seen some of the world’s largest companies transform procurement by equipping their teams with AI agents that streamline strategic and tactical sourcing,” adds Victor Kushch, Co‑Founder and Chief Technology Officer at Fairmarkit.

“We’re seeing game‑changing results: faster cycle times, improved supplier diversity and measurable savings. It’s about reimagining procurement as an orchestrated system of people and AI working together.”

Inside the autonomous engine

Fairmarkit outlines how KIT is used, by adapting to each of an organisation’s categories, policies and buying rules, before executing across the full sourcing workflow. Fairmarkit highlights the example of a routine purchase, where it says that KIT runs the entire process without human intervention.

When looking at how it handles complex strategic events, Fairmarkit says the tool accelerates the work while category managers make the calls on risk, relationships and trade-offs.

Under the hood, KIT is backed by a network of specialised agents, each built to support distinct sourcing workflows:

• Intake Agent: A conversational AI copilot captures and helps generate requirements via guided dialogue so requesters submit complete, actionable requests the first time.
• RFx Agent: Auto-constructs the right tactical, strategic, complex or auction event. Bundles similar RFQs and embeds compliance requirements into the event structure.
• Supplier Agent: Matches against 2.7M+ suppliers using category fit and response probability scoring, with real-time diversity tracking across MWBE, WOSB, SDVOSB and LGBTBE certifications. Monitors contract expirations and triggers competitive sourcing before auto-renewals.
• Evaluation Agent: Provides role-based visibility controls and scenario modelling by cost or supplier mix, with real-time TCO calculations and a chat interface for interactive bid analysis.
• Auto Compliance: Compliance rules auto-apply by category, region and spend threshold. Full audit trail, explainable AI, SOC 2 Type 2 certified, zero LLM data retention.

KIT’s toolkit includes built-in memory, MCP support and full observability. The company notes that native ERP and P2P integrations pick up requisitions, run the sourcing event and write results back with no manual handoffs.

There is benefit in the way of tangible results for Fairmarkit’s partner ecosystem.

Kirsten Loegering, VP Product Management, Finance & Supply Chain Workflows at ServiceNow, says: “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.”