Staffing Intelligence Module

Know which consultant fits before the conversation starts.

Staffing Intelligence reads the accumulated signal in your firm's engagement history — client industry, project complexity, communication style, and partner performance patterns — to surface ranked recommendations your partners trust and act on.

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Staffing Intelligence module showing partner-client fit scoring interface with engagement pattern analysis

Core Capabilities

Four dimensions of staffing signal, unified.

Most consulting firms have some version of each of these. Kelpmont connects them into a single scoring layer.

Pattern Detection

Automatically identifies which engagement types, client industries, and project phases each consultant has performed best in — using billable outcomes, client feedback signals, and repeat engagement rates.

Partner-Client Fit Scoring

Scores each potential partner-engagement pair on domain fit, communication style alignment, and sector familiarity. Ranks candidates with supporting rationale visible to the staffing decision-maker.

Availability-Aware Matching

Staffing recommendations account for current workload, scheduled leave, and pipeline commitments — so the top-fit candidate is actually available, not already committed to three other engagements.

Escalation Alerts

When engagement data signals a potential mis-staffing risk mid-project — scope drift, declining client responsiveness, partner utilization dropping — Staffing Intelligence surfaces an early warning before it escalates.

How Signal Becomes Score

Three data layers. One fit score.

Kelpmont doesn't ask you to build a new data model. It reads what your systems already have and computes fit in real time.

Engagement History Layer

CRM deal records, historical SOW data, timesheet history, and project closure reports form the longitudinal base of each consultant's pattern profile.

Client Signal Layer

Email response cadence, meeting acceptance patterns, and stakeholder engagement depth extracted from calendar and communications metadata — without reading message content.

Performance Signal Layer

Expansion revenue from engagements, referral patterns, repeat client engagement rates, and internal performance review correlations weighted by recency and relevance.

Setup & Integration

Live in one business day.

OAuth-based integrations with your existing stack

Connect Salesforce or HubSpot for CRM data, Harvest or Toggl for time data, and your Google or Outlook calendar for availability. No data export, no CSV uploads.

Salesforce HubSpot Harvest Toggl Google Calendar Outlook

Ready to see Staffing Intelligence in action?

We'll walk you through how pattern detection applies to your firm's specific engagement history.