• Pricing
Book a demo

Detect and notify priority talent in Clockwork Recruiting

Swiftask turns Clockwork Recruiting into a proactive recruitment engine. Your recruiters receive instant alerts on strategic profiles.

Result:

Gain market reactivity and secure your most critical hires.

The hidden cost of missed recruiting opportunities

In executive search, every minute counts. Waiting for a recruiter to manually open Clockwork Recruiting to spot an ideal candidate means risking losing that talent to competitors.

Main negative impacts:

  • Sourcing latency: Qualified profiles go unnoticed in the database until a manual search is performed.
  • Recruiter cognitive load: Teams spend hours manually filtering lists instead of engaging candidates.
  • Loss of strategic hires: Lack of reactivity during critical sourcing phases leads to expensive hiring failures.

Swiftask analyzes entries in Clockwork Recruiting in real time. As soon as a talent matches your priority criteria, the AI agent triggers an immediate alert to your team.

BEFORE / AFTER

What changes with Swiftask

Reactive recruiting

The recruiter checks Clockwork Recruiting twice a day. They scan new profiles. They identify the ideal candidate 6 hours after entry. The candidate has already been contacted by a competitor.

Proactive recruiting with Swiftask

The candidate is added to Clockwork Recruiting. Swiftask detects the match with your criteria instantly. A push alert is sent to the recruiter within 30 seconds. First contact is made before the competition.

Setting up your intelligent talent alerts

STEP 1 : Clockwork integration

Connect Swiftask to your Clockwork Recruiting instance via secure API.

STEP 2 : Criteria definition

Set the keywords, experience, or skills that define a 'priority' talent.

STEP 3 : Notification channel choice

Select where to receive alerts: Slack, Teams, Email, or directly in Swiftask.

STEP 4 : Agent activation

The AI agent immediately starts monitoring candidate streams.

Advanced detection capabilities

The agent reviews resumes, job history, and tags in Clockwork Recruiting to validate priority status.

  • Target connector: The agent performs the right actions in clockwork recruiting based on event context.
  • Automated actions: Intelligent filtering, rich alert delivery, candidate profile summary, integration with communication tools.
  • Native governance: All alerts are timestamped and traceable in your Swiftask activity log.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-clockwork-recruiting@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Operational benefits of automated sourcing

1. Market reactivity

Engage top talent before anyone else.

2. Focus on high-value work

Free your recruiters from repetitive monitoring tasks.

3. Improved precision

Reduce human errors during initial qualification.

4. Organizational agility

Adjust search criteria in just a few clicks.

5. Full traceability

Keep a record of all alerted and processed talents.

Security and data compliance

Swiftask applies enterprise-grade security standards for your clockwork recruiting automations.

  • Secure integration: Uses official Clockwork Recruiting APIs.
  • GDPR compliance: Data processing strictly limited to the automation scope.
  • Access control: Granular management of alert access rights.
  • Enterprise compliance: Robust and auditable infrastructure.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your recruiting KPIs

MetricBeforeAfter
Reaction timeSeveral hoursUnder one minute
Initial contact rateLow (delays)High (instant)
Sourcing timeManual / DailyFully automated

Take action with clockwork recruiting

Gain market reactivity and secure your most critical hires.

Supercharge proactive sourcing with Clockwork Recruiting and AI

Next use case