Salesmate vs Planhat
Side-by-side trajectory, velocity, and editorial themes.
Salesmate ships at a slow drumbeat with Sandy AI as its most directional move.
Salesmate's release cadence is sparse — roughly one update every couple of months — and most entries are small UX or workflow tweaks rather than platform changes. The most directionally significant move in the last year was Sandy AI, which folded an assistant for scheduling and summarization into the CRM. Recent work has tightened the existing surface: knowledge base consolidation, surveys, mobile navigation, name-field customization.
Salesmate is positioning as a quietly maturing all-in-one CRM rather than chasing a dominant trend. AI is being added narrowly (scheduling, summarization) rather than as a full agentic layer. Mobile and data-quality work suggest the priority is making the current product stickier for existing teams, not breaking into new categories.
Expect Sandy AI to expand further into deal-stage automation or pipeline summaries within the next two quarters, since that is the obvious next step from chat/email summarization. The slow cadence likely continues unless competitive pressure forces a step change.
Planhat doubles down on automation — Portals, Task dependencies, AI steps, OAuth — for scaled CS ops.
Planhat's recent stream skews heavily toward automation infrastructure for customer-success teams. New advanced Task dependencies, automated end-to-end Portal setup, full execution logs for Automation Runs, and live company-field merge tags in Dashboards and Presentations all reduce the manual per-account work that defines mid-tier CSM tooling. OAuth connections enter Labs, replacing API-key plumbing for integrations.
The product is moving from a health-score-and-playbook CS platform toward a low-code automation backbone for customer-success orgs. Recent additions of frontier LLMs (Claude Sonnet/Opus 4.6, GPT 5.4) into AI Automation steps, combined with portal-creation building blocks, position Planhat as a CS workflow engine that runs without per-account human babysitting.
Expect more native AI step types (action-taking, deeper retrieval), OAuth graduating out of Labs into the standard integrations surface, and continued investment in automation observability — failure analytics, retry policies, version history.
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