What Is The AI And ProcureTech Provider Overlap, And Why Do You Need To Know Much More About It?

Posted on May 8, 2025

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Here are the results from the second, third, and fourth models using a 4-model Agent-based assessment tool that leverages my RAM 1998 to 2025 framework architecture logic. You can view the results of the first model through the following link: BMC to Coupa, Laserfiche to Ivalua, and other connect-the-dots between AI and ProcureTech.

What’s The Connection Between AI and ProcureTech Providers?

Overlap and Integration

  • Overlap: Many ProcureTech providers integrate AI into their platforms, blurring the lines. For example, SAP Ariba uses AI for supplier risk scoring, but its core mission is procurement, not AI development.
  • Integration: AI solution providers often partner with ProcureTech firms to enhance their offerings. As noted in your earlier query, Dashworks could pair with ORO Labs to add S2P capabilities, while Certinia could leverage SAP Ariba for broader procurement automation.

Critical Perspective

The ProcureTech space is more specialized, with over 5,000 solutions competing to address procurement pain points (ProcureTech, 2024). AI solution providers, while innovative, often require significant customization to fit procurement needs, which can lead to slower adoption—60% of procurement leaders cite budget constraints as a barrier to automation (Procurement Magazine, January 2025). Meanwhile, ProcureTech providers like Coupa or Ivalua offer ready-to-use solutions but may lack the cutting-edge AI depth of pure AI providers like Dashworks. The best outcomes often come from partnerships, as seen in your earlier table, where AI and ProcureTech strengths combine.

MODEL 2

Here is a table listing each of the companies you mentioned — BMC, Certinia, Laserfiche, Make AI, HG Insights, Dashworks, and Pipefy — along with suggested best potential ProcureTech solution provider partners based on likely synergies in workflow automation, AI, procurement operations, integration capabilities, and data intelligence:

MODEL 3

MODEL 4

Identifying the Best Potential ProcureTech Solution Provider Partners

Based strictly on the presented data:

Pipefy is the only company among the initial eight Gen AI companies with a direct, proven, and flexible AI-powered procurement platform. Their solutions are validated by case studies showing measurable improvements in procurement efficiency, supplier evaluation, and inventory management.

Pipefy ZEISS Case Study 1 – (https://www.pipefy.com/zeiss-case-study/)

Pipefy Casas Pedro Case Study 2 (https://www.pipefy.com/case-study-casas-pedro/).

The leaders of best-in-class ProcureTech partners are Pipefy, Coupa, GEP, Zycus, and Ivalua. The selection among these depends on an organization’s specific priorities:

  • For rapid deployment, workflow flexibility, and GenAI-powered process automation: Pipefy.
  • For large-scale, data-driven spend management and analytics: Coupa.
  • For deep sourcing and end-to-end orchestration: GEP and Zycus.
  • For advanced contract analysis and no-code procurement automation: Ivalua.

Conclusion

  • Among the initial Gen AI companies, Pipefy is the clear candidate for ProcureTech partnerships, given its procurement-specific AI solutions and proven impact in real-world deployments.
  • For organizations seeking leading AI-powered procurement technology partners, Pipefy, Coupa, GEP, Zycus, and Ivalua all offer strong, differentiated solutions with varying strengths in automation, analytics, and workflow orchestration. Selection should align with the organization’s procurement priorities, scale, and technical requirements.
  • While general Gen AI companies focus on broad application areas, there remains a significant opportunity for these companies to adapt their AI capabilities specifically for procurement use cases, potentially bridging the gap between general AI innovation and procurement-specific automation needs.
  • The procurement AI landscape continues to evolve, with emerging trends pointing toward deeper integration of generative AI for supplier relationship management, contract intelligence, and predictive spend analytics across the procurement lifecycle.

ONE FINAL THOUGHT: In 1998, with funding from the government’s Scientific Research & Experimental Development (SR&ED) Program, I developed the procurement industry’s very first nascent ProcureTech native AI platform. Based on my theory of strand commonality, the platform went into a production environment and successfully delivered tangible and measurable outcomes for crucial KPIs.

In my next post, I will delve into what a native platform really is and how it is NOT solely based on technology.

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