Posted On November 10, 2025

AI in Procurement

Johan 0 comments
AI

Procurement functions are moving beyond cost control to influence resilience, sustainability, speed to market, and innovation. Teams face challenges from market shifts, supply disruptions, inflation, and data overload, leading to slow sourcing and fragmented insights. Suppliers adopt AI six times faster, widening the gap.

This is a leadership issue. Agentic AI can reimagine processes, making it essential. Procurement ROI – total value created (savings, avoided leakage, working capital, risk benefits, revenue enablement) versus costs (talent and tech) – could become a board metric. Agentic AI delivers improvements in months.

From Analytical to Agentic AI

Traditional tech automated transactions like POs and invoices but left decisions manual. Agentic AI shifts from “show me the data” to “do it for me,” emulating judgement, handling multi-step tasks, and learning.

It acts as a digital colleague: analysing bids overnight, monitoring markets, flagging deviations, preparing negotiations. It orchestrates end-to-end; from opportunity identification to performance tracking – creating hybrid teams where humans focus on strategy and relationships, agents on scale and speed.

Rewired Operating Model

Embed AI in a new system with four shifts:

  • Data as asset: Unified view of spend, suppliers, contracts, benchmarks.
  • Agents as infrastructure: Integrated into workflows, e.g., strategy agents for costs, negotiation agents for supplier approaches.
  • Human-agent teaming: Roles shift to orchestration, needing prompt engineering and change skills.
  • End-to-end integration: Across source-to-pay for faster decisions, lower costs, reduced risk.

This repositions procurement as a competitive advantage. Vision: Agents in five domains (strategy, sourcing, negotiation, purchase-to-pay, value preservation) plus control centre, with benefits like 5-10% savings in strategy, 2-10% in sourcing.

Real Impact, Quick Delivery

Leaders see:

  • 5-10% extra savings via should-cost analysis, market monitoring.
  • 20-40% productivity from automating data work, RFx, communications.
  • 2-4% less leakage through compliance tracking.
  • 3x faster insights for volatile environments.

From prototype to pilot in weeks, scale in under a year. Mix build, tailor, buy—buy for mature agents, build for custom IP. Targeted interventions, not full ERP overhauls.

C-Suite Actions

Opportunity for procurement to drive growth and resilience. Requires:

  • Reskilling for strategy and oversight.
  • Data investment – edge from domain context amid ubiquitous Large Language Models.
  • Embedding change with KPIs, rituals.
  • Aligning with enterprise goals like innovation.

Roadmap

  1. Define vision, value case – focus outcomes.
  2. Activate no-regret agents in weeks: category copilot, RFx analytics, contract optimisation, compliance, tail repricing.
  3. Start in 2-3 high-impact areas, scale.
  4. Build cross-functional team: procurement, data, AI, change.
  5. Upskill now.
  6. Establish learning loops – systems improve with use.

AI is procurement’s foundation, redefining cost management, collaboration, agility. Build data spine, deploy agents, rewire roles. Leadership challenges legacies but compounds value. Seize it to elevate procurement or risk lagging suppliers.

Johan
Author: Johan

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