Blog2026-06-02T12:58:45-08:00

Blog

How to Build a Recruitment Automation System with Make.com and Keap

Connect Make.com™ and Keap to eliminate every manual handoff in your recruiting pipeline. Map your stages first, build webhook-triggered scenarios second, and deploy AI only after the deterministic layer is stable. Teams that follow this sequence cut time-to-hire by more than half and reclaim double-digit hours every week.

Keap & GDPR: 9 HR Compliance Strategies and Best Practices for 2026

GDPR compliance in Keap is the HR team's responsibility, not the platform's. Keap acts as a data processor — your organization is the data controller. These 9 strategies cover consent capture, data minimization, retention automation, subject-access-request handling, and audit logging so your talent workflows stay lawful, defensible, and operationally tight.

From Gut Feel to Growth: How People Data Transformed Executive Talent Strategy at a Mid-Market Firm

People data doesn't supplement executive talent decisions — it replaces the guesswork that makes mis-hires expensive and succession gaps catastrophic. This case study shows how a 45-person recruiting firm restructured its talent acquisition and development workflows around automated data pipelines, cut executive mis-hire exposure by six figures, and built a leadership bench that survived a sudden C-suite departure.

Executive Onboarding Strategy: Accelerate C-Suite Impact

Executive onboarding strategy is the structured, organization-wide process that integrates a new C-suite or senior leader into their role before and after day one — aligning them to strategic objectives, key stakeholders, and cultural context at a speed that generic HR checklists cannot match. It is the single highest-leverage variable in whether an executive hire succeeds or fails within the first 18 months.

Recruiting Automation with Make: 10 Campaigns for Strategic Talent Acquisition

Recruiting automation with Make works when you treat hiring speed as a process problem, not a technology problem. The firms cutting time-to-hire build structured workflows that handle sourcing, scheduling, follow-ups, and offers automatically, then drop AI only at specific moments where candidate judgment actually requires it, like pre-screening triage or offer personalization.

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