You've built the analytics layer. Now add the action layer.
Planhat is exceptional at NRR analytics and portfolio management. The insight layer is genuinely best-in-class. zeeproc is the platform that sits above it autonomous agents that act on those signals so your team doesn't have to bridge the gap manually.
Where Planhat leaves the last mile to your team
Planhat is the right choice if your primary need is analytics depth and portfolio-level NRR visibility. Where it asks more of your team is in the space between seeing the signal and acting on it.
zeeproc vs. Planhat
Planhat leads on analytics depth. zeeproc leads on autonomous execution. Here's the full picture.
| Feature | zeeproc | Planhat |
|---|---|---|
| Autonomous AI Agents | Health, cross-sell & advocacy agents | Automated workflows (config-heavy) |
| Health scoring | AI-driven, multi-signal, confidence caps | Highly configurable, requires CS Ops investment |
| Cross-sell / upsell signals | Dedicated autonomous expansion agent | NRR tracking strong, automation lighter |
| Customer advocacy automation | Dedicated NPS, CSAT & testimonial agent | Not a core feature |
| Time to value | Days: credits-based, no long onboarding | 4–6 weeks |
| Pricing model | Credits-based, no per-seat minimums | Modular, usage-based, not transparent |
| Admin overhead | Minimal: self-serve, CSM-first | Moderate: RevOps or CS Ops involvement needed |
| CSM day-to-day UX | Action-oriented, built for CSMs | Analytics-first; less intuitive for CSMs |
| BYO LLM support | Yes — connect OpenAI, Anthropic or any LLM | No — no LLM configuration |
| Integration depth | SF, HubSpot, Zendesk, Freshworks, Amplitude, Mixpanel, Slack + more | Strong, open API, data-model flexible |
From portfolio intelligence to autonomous action
Teams that bridged the analytics-to-action gap
"Planhat was giving our RevOps team incredible portfolio visibility. What we needed was for that intelligence to reach our CSMs in a usable format. zeeproc was the missing piece."
"We had all the NRR data in Planhat. But getting our CSMs to act on it consistently required a weekly ops meeting and a lot of Slack messages. zeeproc made it automatic."
Frequently asked
Both are valid paths. If your RevOps team depends on Planhat's data model and NRR dashboards, zeeproc can run as an action layer on top ingesting signals from your CRM and product data without requiring Planhat migration. For teams ready for a full switch, zeeproc covers the analytics requirements most mid-market teams actually need.
Planhat's portfolio-level NRR analytics are deep. zeeproc's focus is on the execution layer autonomous agents that act on revenue signals rather than reporting on them. For teams where NRR visibility is the primary need, Planhat may remain the better analytics tool. For teams where closing the action gap matters most, zeeproc is built for that.
For teams running zeeproc as an addition layer, there's no migration at all we connect to your CRM and begin generating agent outputs independently. For full migrations, onboarding typically takes one to two weeks including data transfer and workflow mapping.
zeeproc takes a different approach rather than a fully flexible data model requiring ops investment to maintain, we provide a structured agent framework that your team configures through an opinionated setup flow. Most teams find this faster to operate, though it trades raw flexibility for speed.
zeeproc uses credits-based pricing with no per-seat minimums. Planhat's modular pricing is not publicly disclosed but scales with usage and modules. For growing mid-market teams, zeeproc's model is typically more predictable at scale.
Your NRR data is telling a story.
Is your CS platform acting on it?
See autonomous CS agents working on your portfolio data in a 20-minute demo.