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Charlie
Client Reporting

Pipeline Reports Generated Automatically — Time-to-Fill Tracking, Source Analysis, and Client Dashboards Without Friday Afternoon Data Pulls

60% reduction in status reporting time, 100% client reporting SLA compliance, proactive risk flagging 3 days before SLA breach

Nobody does this consistently today — now it happens automatically Deploys in 4-6 weeks

The problem

Recruitment agencies live and die by client relationships, and nothing strains a client relationship faster than poor communication. Hiring managers want to know where their roles stand: how many candidates have been screened, who is in the pipeline, when interviews are happening, and whether the timeline is on track. Delivering this information requires consultants to compile data from the ATS, format it into a readable update, and send it to each client -- often weekly for active roles.

The time cost is substantial. A consultant managing 8 active clients might spend 3-4 hours every Friday afternoon pulling together pipeline status reports instead of making placements. The work is tedious: logging into the ATS, filtering by role, counting candidates at each stage, writing a summary paragraph, calculating time-to-fill trends, and formatting it into an email that looks professional. It is the kind of work that consultants resent because it feels like administration rather than recruitment.

The alternative -- not reporting -- is worse. Clients who do not hear from their agency assume nothing is happening. They start sourcing directly, brief competitors, or escalate to agency management. A missed status update can trigger a chain of events that ends with a lost client relationship worth $200K+ in annual fees. In an industry where client retention is paramount, consistent reporting is not optional, but the manual effort makes it unsustainable at scale.

Charlie is your AI Client Reporting specialist. He pulls real-time data from Greenhouse or Lever, generates professional pipeline reports for each active role, delivers them on a configurable cadence, and highlights any risks or blockers that need client attention. He also tracks time-to-fill against SLAs, analyzes source channel effectiveness, and generates the data your consultants need for client calls. At 8 AM Friday, you see: "All 8 client reports generated and scheduled for delivery. 2 roles flagged: Marketing Manager (no new candidates in 7 days -- recommend broadening search). Senior Developer (time-to-fill trending 20% over SLA -- recommend salary adjustment discussion)."

Nobody does this consistently today — now it happens automatically
That is why you need Charlie.

How it works

How Charlie works, step by step

Each step is automated. Charlie only escalates when human judgment is required.

1
Scheduled reporting cadence reached (weekly, bi-weekly) or consultant requests ad-hoc report

Charlie queries the ATS for all active roles under the client account, pulling candidate pipeline counts by stage, activity since last report, time-in-stage averages, and source channel data for each submission

2
Pipeline data assembled from ATS

Charlie generates a structured report: candidates at each stage with movement arrows, new submissions since last report, interview outcomes and pass-through rates, offers pending, time-to-fill tracking against SLA, and projected fill date based on current pipeline velocity

3
Report generated and formatted

Charlie formats the report for the delivery channel (professional email with inline charts, or Slack message for internal briefings). Client branding applied if configured. Report sent to client contact(s) with consultant copied

4
Weekly source effectiveness analysis cycle

Charlie generates a source mix report: applications and hires by channel (LinkedIn, Indeed, database, referrals), cost-per-hire by source, quality indicators (interview-to-offer ratio by source), and recommendations for budget reallocation based on ROI data

5
Risk indicators detected: no new candidates in 7+ days, all candidates rejected at interview, time-to-fill trending over SLA, or offer acceptance rate below benchmark

Charlie flags the risk to the consultant before report delivery, suggesting corrective action: broaden search criteria, schedule client alignment call, adjust compensation range, or expand geographic scope. Risk summary included in the client report with recommended next steps

6
Client responds to report with questions, concerns, or change requests

Charlie routes the response to the consultant with full context and suggested talking points, pausing automated reporting until the consultant confirms appropriate follow-up

What Charlie handles vs. what stays with you

Clear boundaries. Charlie works autonomously within defined limits and escalates everything else.

Charlie handles
  • Charlie queries the ATS for all active roles under the client account, pullin...
  • Charlie generates a structured report: candidates at each stage with movement...
  • Charlie formats the report for the delivery channel (professional email with ...
  • Charlie generates a source mix report: applications and hires by channel (Lin...
boundary
Your team handles
  • Client relationship management, commercial discussions, and contract negotiations are handled by consultants and account managers exclusively
  • Reports containing sensitive information (candidate withdrawals due to competitor offers, internal disputes) are reviewed by the consultant before delivery
  • New client onboarding and reporting preferences setup require human configuration
  • Strategic recommendations about sourcing approach or role viability are provided by consultants, not Charlie
  • Escalations from clients about service quality or dissatisfaction are routed to account managers immediately

Integrations

Works inside your existing tools

Charlie connects to the platforms you already use. No new software to learn.

Greenhouse Reads from
Lever Reads from
Email Writes to
Slack Writes to

Implementation

From zero to Charlie

Charlie is deployed gradually with measurable checkpoints at every stage.

Deploy time
4-6 weeks
Monitoring mode first, then gradual rollout
📋
Data required
  • ATS pipeline stage definitions and candidate status taxonomy in Greenhouse/Lever
  • Client reporting preferences (cadence, format, recipients, branding requirements)
  • Historical status reports for tone, format, and content reference
  • SLA definitions and time-to-fill benchmarks per role type and seniority level
  • Email delivery configuration and Slack workspace integration
🚀
Pilot process

Pilot generates Charlie reports for 5 client accounts (covering 15-20 active roles) in parallel with consultant-written reports for 3 weeks. Clients receive the Charlie-generated version with a feedback mechanism.

Full validation before production deployment

Your AI team

Works alongside Charlie

These AI employees share data and coordinate with Charlie to cover your full operation.

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Deploy Charlie for your recruitment operations

Start with a 90-minute discovery session. We will assess whether Charlie is the right fit for your workflows and show you exactly what changes.