Act vs Folk
Side-by-side trajectory, velocity, and editorial themes.
Act! pivots from CRM-only to payment processor while modernizing its Cloud UX.
Act! is in the middle of a methodical Cloud modernization, rebuilding list views, navigation, and notifications to match the consistency users expect from modern CRMs. Alongside that polish work, Act! has just shipped Act! Payments via Propelr — turning the CRM into a place where credit card transactions close, not just leads. The product is still recognizably a small-business CRM, but its surface area is widening.
The release cadence shows two parallel tracks: weekly UX rationalization (notification center, list parity, faster task editing) and category expansion through embedded financial services. Act! is following the same playbook HubSpot and Pipedrive have run — keep the legacy users happy with quality-of-life work while quietly bolting on revenue-bearing features that compete with Stripe-adjacent SMB tools. Payments is the most directional move in years.
Expect deeper payments integration next — recurring billing tied to opportunities, dunning workflows from the contact record, and likely a payments-driven pricing tier that monetizes transaction volume rather than seats.
Folk wraps an autonomous AI layer around its CRM data hygiene work.
Folk is on a near-weekly cadence with two parallel arcs: AI-driven enrichment and outbound communication. Auto-fill AI in late April promises continuous, autonomous data cleanup and insight extraction. Email scheduling, send previews, and the Fireflies integration build out the relationship-management surface. Admin visibility and sender-control tweaks address compliance edges.
Folk is positioning as the CRM that keeps itself current without operator effort: AI fills records, conversation tools feed context, and scheduled outreach closes the loop. The directional bet is that small teams will pay for autonomy over data hygiene, not for more fields to fill in manually. Expect more autonomous workflows that span enrichment, segmentation, and outreach.
The next directional move likely turns Auto-fill AI into named, scopeable autonomous routines (lead-research agent, dedupe agent) rather than a single setting. Deeper Fireflies-style integrations with other meeting tools should follow.
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