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Prism vs. Cledara

Cledara approaches SaaS spend through procurement: issue a virtual card per tool, route purchases through approvals, and manage the catalog. Prism approaches it through detection: read the invoices you already receive and the usage APIs you already have, and surface what's really being spent — no workflow changes required.

[01] Side by side

CapabilityPrismCledara
Works without changing how you buySpend flows through Cledara cards
Per-model AI API cost breakdown
Approval workflows & procurement
Virtual cards per vendor
Detects existing/forgotten subscriptionsVisibility for card-routed spend
Catches AI usage spikes
Time to valueMinutesOrg-wide card migration
Designed forFounders & small teamsFinance/ops teams standardizing procurement

Based on public documentation as of June 2026. Spot an inaccuracy? Email zach@brightwayai.com and we'll fix it.

[02] The honest take

These tools can genuinely coexist: Cledara controls how new spend gets approved; Prism tells you what your current stack actually costs — especially metered AI usage, which no card-based tool can break down per model. If you're at the stage where a finance team enforces purchasing policy, look at Cledara. If you're at the stage where the problem is 'I don't actually know what we spend', start with detection.

[03] Which one is for you

Pick Cledara if…

  • You have a finance/ops team standardizing purchasing
  • You want approval workflows and card-level control
  • Procurement compliance matters more than usage analytics

Pick Prism if…

  • You want visibility this afternoon, not a card migration
  • AI API costs are a major, growing line item
  • The goal is finding waste in the stack you already have

Decide with your own numbers in front of you.

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