SpendHQ’s strategic partnership with Sligo AI introduces the innovative Sligo 2.0 platform, leveraging autonomous AI agents and secure spend intelligence to transform procurement workflows and deliver faster, scalable decision-making.
SpendHQ, a notable provider of enterprise procurement intelligence, has announced a strategic investment in Sligo AI with the objective of introducing what they describe as the first Agentic Enterprise Procurement (AEP) platform. Acc...
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The collaboration is presented as a response to the increasing demands on procurement teams to drive cost savings, maintain supply chain continuity, and reduce risks under resource constraints. The companies contend that many AI initiatives in procurement have faltered due to data quality issues and security concerns. By integrating SpendHQ’s centralised spend analytics with Sligo AI’s autonomous agents, the joint solution claims to provide a system that is inherently data-ready and secure, tailored specifically to procurement needs.
SpendHQ’s CEO, Scott Macfee, is quoted emphasising the importance of clean, centralised data as a backbone for AI programmes, positioning this partnership as a transformative step that converts procurement from a primarily reporting function into an execution engine capable of faster decision-making and measurable impact. Meanwhile, Sligo AI’s founder and CEO, Matt McCarrick, notes the pragmatic approach of combining trusted data with autonomous agents to create an AI solution that scales securely and delivers practical value.
The platform, referred to as Sligo 2.0, offers three deployment models: on-premises within enterprise Virtual Private Cloud infrastructure (Sligo Enterprise), a fully managed cloud service (Sligo Cloud), and API integrations for embedding the AI capabilities into existing systems (Sligo API). This flexibility caters to varying enterprise needs concerning data sovereignty, compliance, and operational preferences.
The proposed benefits of the platform include minimised AI hallucinations through procurement-specific agent configurations, safeguarded data management either hosted by SpendHQ or deployed internally, and a human-centred design that supports professionals by automating repetitive tasks without supplanting human strategic oversight. SpendHQ suggests that existing customers can realise productivity improvements within a 4-6 week timeframe post-deployment.
While the launch and strategic investment have been widely reported as a pioneering initiative in procurement AI, it aligns with broader trends of increasing AI adoption in enterprise functions, particularly in spend management and supply chain optimisation. SpendHQ itself has recently demonstrated significant growth, onboarding numerous enterprise clients and expanding its Fortune 500 footprint, which may provide a supportive foundation for this new venture.
Nevertheless, broader industry experience underscores that AI integration in procurement has faced challenges with scaling and user trust, issues the companies claim to address through their clean data approach and tailored AI agents. The platform will be showcased publicly at the upcoming DPW Amsterdam event, suggesting an effort to gain early adopters and industry feedback.
In sum, this partnership reflects an emerging model of autonomous AI agents operating within procurement workflows, combining trusted data foundations with flexible deployment and enterprise-grade security features. Its success will likely depend on the platform’s ability to deliver tangible workflow efficiencies and measurable impact while maintaining data integrity and compliance in complex organisational environments.
Source: Noah Wire Services



