Spendbase Segment Cost Management Tech Showcase

In the Spendbase segment of the Cost Management Tech Showcase, Shervin Fakhravar, Country Manager at Spendbase tackles software and AI spend in an environment of inflation, geopolitical shocks and ongoing economic uncertainty. The session positions Spendbase as a strategic partner for CFOs and finance leaders who need to turn sprawling SaaS and AI usage into a transparent, governable spend portfolio. Framed by the speaker’s background in credit management and cost reduction, the segment stresses that cost‑efficiency and disciplined spend management will remain board‑level priorities for the foreseeable future.

Spendbase’s proposition is structured around three core services: negotiated discounts across thousands of software vendors, a “ghost stack” clean‑up to eliminate unused tools, and a consolidated LLM API platform for AI cost management. Through a practical demonstration of the Spendbase app, the session shows how organisations can gain a single view of their software stack, automate procurement, issue virtual cards, and apply budget caps and usage controls to AI models—all while benefiting from volume discounts and improved transparency.

Highlights:

  • Three‑pillar offer: vendor discount negotiation, “ghost stack” clean‑up of unused tools, and an LLM API platform that consolidates AI services onto a single, discounted bill.
  • Ghost stack visibility via a SaaS management app that surfaces all licenses, usage levels and renewal dates to prevent paying for dormant subscriptions.
  • Embedded spend controls, including password management, procurement workflows and configurable approval processes to streamline how new tools and budgets are requested.
  • Virtual cards and financial services that let organisations allocate cards to individuals, projects or teams, with cashback and fine‑grained transaction tracking.
  • LLM API for AI cost management, providing a single API key, real‑time visibility, volume discounts, and budget caps across multiple AI models and providers.
  • Side‑by‑side AI model testing so teams can compare cost and performance and quickly switch models or providers without operational disruption.

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