The cost of 7 AI workflows over 12 months: cloud LLMs vs Avery NXR
· Avery NXR
If you wanted to build the 7 workflows that ship as templates in Avery NXR using cloud LLM APIs instead, what would it cost over 12 months? We did the math. The numbers below assume a typical mid-sized team — a few hundred employees, moderate volume on each workflow. Your specifics will differ, but the order of magnitude holds.
Workflow 1 — Daily AI news aggregator (Anna)
Volume: Once per day per user, scanning ~20 sources, classifying and digesting ~50 stories Per-run token usage: ~30K input + 4K output Cloud LLM cost per run: ~$0.15 Annual cost per user (cloud LLM): $55 For 50 users: $2,750/year
Avery NXR cost: flat license. The marginal cost is electricity.
Workflow 2 — Meeting notes to action items (Sophia)
Volume: Average knowledge worker has ~6 meetings per workday with transcripts Per-meeting token usage: ~10K input + 1.5K output Cloud LLM cost per meeting: ~$0.045 Annual cost per user (cloud LLM): $54 (240 workdays × 6 meetings × $0.045) — wait, that's about $65 actually Annual cost per user (cloud LLM): $65 For 50 users: $3,250/year
Avery NXR cost: electricity.
Workflow 3 — Resume screening (Marcus)
Volume: A growing company hiring 50 roles processes ~10,000 inbound resumes per year Per-resume token usage: ~8K input + 0.6K output Cloud LLM cost per resume: ~$0.033 Annual cost (cloud LLM): $3,300/year for one TA function
Avery NXR cost: electricity. Plus a meaningfully better compliance posture for the bias-audit conversation.
Workflow 4 — Customer support triage (Priya)
Volume: Typical mid-sized SaaS support team processes ~30,000 tickets/month Per-ticket token usage: ~10K input + 1.2K output Cloud LLM cost per ticket: ~$0.048 Annual cost (cloud LLM): $17,280/year
Avery NXR cost: electricity. Plus the privacy posture becomes structural rather than contractual.
Workflow 5 — Daily sales pipeline digest (Carlos)
Volume: Sales team of 20 reps, daily digests + weekly manager rollups Per-rep per-day token usage: ~5K input + 1K output Cloud LLM cost per rep per day: ~$0.030 Annual cost (cloud LLM): $150/rep × 20 reps = $3,000/year
Avery NXR cost: electricity. Plus deal data stays in your CRM and on your laptop.
Workflow 6 — Competitor monitoring (Yuki)
Volume: 25 competitor URLs visited daily, with weekly impact analysis Per-day token usage: ~50K input + 5K output (across all 25 sites + diff analysis) Per-week analysis: ~80K input + 10K output (rolled up) Annual cost (cloud LLM): ~$120/year for daily scans + ~$200/year for weekly analysis = $320/year
Avery NXR cost: electricity. Plus your competitor watchlist isn't visible to any third party.
Workflow 7 — Server health monitor (Liam)
Volume: Every 30 min, ~20 health checks, ~5 anomalies/day requiring LLM correlation Per-anomaly token usage: ~6K input + 1K output Cloud LLM cost per anomaly: ~$0.030 Annual cost (cloud LLM): $0.15/day × 365 = $55/year for a small infrastructure
For larger infrastructure with frequent alerts: $500-$2,000/year
Avery NXR cost: electricity.
The aggregate
Running all 7 workflows for a representative mid-sized team for 12 months:
| Workflow | Cloud LLM annual cost |
|---|---|
| Anna (daily news, 50 users) | $2,750 |
| Sophia (meeting notes, 50 users) | $3,250 |
| Marcus (resume screening) | $3,300 |
| Priya (support triage, 30K tickets/mo) | $17,280 |
| Carlos (sales digest, 20 reps) | $3,000 |
| Yuki (competitor monitoring, 25 sites) | $320 |
| Liam (server health, small infra) | $55 |
| Total | $29,955/year |
Avery NXR Pro is $29/user/month for the same team running these workflows. For a team of 50, that's $17,400/year — already cheaper than just the cloud LLM costs. And the Avery cost includes the platform, the agent builder, the connectors, the app generators, and everything else. The cloud LLM number is just the per-call API costs, with the orchestration platform on top of that.
The numbers people miss
The $30K vs $17K comparison is the obvious one. There are three other comparisons worth thinking about:
The 100x scaling case. If your support team grows from 30K tickets/month to 300K, the cloud LLM cost goes from $17K to $173K. The Avery NXR cost goes to whatever your per-user license is — the per-ticket cost is still zero. The architecture choice is the difference between "AI cost grows with the company" and "AI cost is flat."
The capability-unlock case. Several of these workflows have capabilities that aren't economically viable at cloud-LLM prices but are trivial at local-AI prices. Per-rep personalized sales digests (Carlos). Per-fan content (not in the 7 templates but applicable elsewhere). Real-time monitoring of every alarm instead of filtered subsets. Per-employee onboarding flows. The list compounds.
The data residency case. For several of these workflows (support tickets, resume screening, pipeline data, server logs), the privacy implications dwarf the cost question. Avery's local execution turns "we'd love to use AI for this but legal says no" into "AI is on our infrastructure, here's the audit trail."
What's actually in the box
A reminder, since we're talking about 7 workflows: Avery NXR ships these 7 templates pre-loaded on first launch. You don't build them — you fork them, plug in your connectors, and run.
If you want to try the math against your actual numbers, install Avery NXR (Free tier, no card) and run the templates. The audit log records every run; you can see exactly what each agent is doing and validate the volume assumptions against your environment.