NextAutomation.
SAAS SPEND AUDIT

How much are you wasting on overlapping tools, dead seats & duplicate AI?

Industry benchmarks put SMB SaaS waste at 20–30% of total spend. Click the tools in your stack — get an itemized waste report with overlap detection, seat optimization, AI consolidation, and a curated map of cheaper alternatives. Rule-based, not LLM-guessed.

📉 ~25% avg waste · 90-second audit · 30+ tools mapped
Step 1
Click the tools you pay for
We'll auto-fill tier defaults — you can adjust below. Stack updates live.
Step 2
Your stack · tier & seats
Step 3 · optional
What hurts most?
Sharpens the audit. Pick any that apply.
Tools don't talk to each other
Paying for unused seats
Too many similar tools
AI tools we barely use
Manual handoff between tools
Surprise bills / overages
How the audit works. Tier prices pulled from each vendor's public 2026 pricing page and verified quarterly. Alternative recommendations are curated by NextAutomation from observed performance across 50+ stack rebuilds — not just based on sticker price but on whether the cheaper tool actually covers the use case at your tier. Overlap detection runs rule-based on shared categories. Seat-economics rules apply where vendors have meaningful tier breakpoints (per-seat tools with 3+ tiers). AI consolidation rules trigger when 2+ general-LLM subscriptions overlap. Integration-gap rule fires when 5+ tools are present without an automation platform. This is an estimate. Actual savings depend on your use cases, contract terms, and team workflows. Use the audit to anchor the conversation, then validate per-tool with a usage review.
NextAutomation. · Build Unstoppable Businesses · AI & SaaS Spend Audit v1

AI & SaaS Spend Audit — FAQ

How much do SMBs typically waste on SaaS?

Industry benchmarks (Productiv, Zylo, Vendr 2024 reports) put typical SaaS waste at 20–30% of total SaaS spend for SMBs and mid-market companies. The waste shows up in three places: overlapping tools (paying for two PMs, two CRMs), overprovisioned seats (everyone on Pro when most could be on Starter), and dead AI subscriptions nobody uses.

What does this audit actually detect?

Four dimensions: (1) Overlap — multiple tools in the same category (e.g. Notion + ClickUp, HubSpot + Pipedrive). (2) Seat economics — tools where tier downshift on most seats would save money. (3) AI consolidation — duplicate AI subscriptions (ChatGPT Team + Claude Pro + Perplexity covering the same use case). (4) Integration gaps — manual handoffs an automation platform would eliminate.

Where do the tool prices and alternatives come from?

Tier prices are pulled from each vendor's public pricing page as of 2026 and verified quarterly. Alternative recommendations are curated by NextAutomation based on deployed-client experience across 50+ stack rebuilds — not just based on price, but on whether the cheaper tool actually covers the use case.

Why can't I just ask ChatGPT to audit my stack?

Three reasons. (1) ChatGPT can't see your tool list, seats, or tiers — you'd have to know what to type. (2) ChatGPT hallucinates prices and alternatives, especially for newer or pivoting tools. (3) ChatGPT gives generic "audit your spend" advice instead of a real waste number with specific cancellations to make. This audit is rule-based on curated data, not generated text.

Will the audit recommend cancelling tools I love?

Yes, sometimes — but the goal is to surface the math, not force a decision. If you love a tool but the audit flags it as overlap or overprovisioned, the recommendation tells you what it would save. You decide if the productivity or familiarity is worth the cost.

Does the audit include AI agents and voice platforms?

Yes. The catalog covers AI consumer tools (ChatGPT Team, Claude Pro, Gemini, Perplexity Pro, Cursor), voice AI (Vapi, Retell, Synthflow), and AI sales tools (Apollo, Clay, Smartlead). For AI consumer tools specifically, the audit applies the consolidation rule aggressively — most teams don't need three LLM subscriptions when one covers 95% of the use case.