Staffing Intelligence for Mid-Market Consulting

Put the right people on the right engagements —
before the SOW is signed.

Kelpmont reads the signals in your client engagement data to surface staffing recommendations your partners actually act on.

Kelpmont staffing intelligence dashboard showing consultant-to-client match recommendations with confidence scores
23% Average reduction in mis-staffed engagements
4.1× Faster partner utilization decisions
~30 Consulting firms in active evaluation

The Staffing Problem

Gut feel still drives most staffing decisions in consulting.

When a new engagement lands, partners default to who's top of mind: whoever spoke up in the last meeting, whoever is available, whoever has seniority. Actual client-fit data exists — in your CRM, your timesheets, your past SOWs — but no one has the bandwidth to surface it.

The result: mis-staffed engagements that erode client relationships, rack up out-of-scope revisions, and quietly drain the firm's reputation for delivery excellence.

Kelpmont closes the gap between your data and your staffing decision, before the engagement kicks off.

CRM Data Salesforce / HubSpot Timesheets Billable hours Past SOWs Engagement history Email / Meetings Client signals Data sits unconnected ? Kelpmont Signal engine Partner Decision Before SOW signing

How Kelpmont Works

From engagement data to staffing confidence in three steps.

No manual data prep. No consultant surveys. No custom models that require data science. Kelpmont connects to what your firm already has.

Step 01

Connect Engagement Data

Kelpmont integrates with Salesforce, HubSpot, your timesheet platform, and historical SOW data. Setup typically takes one business day.

Step 02

Surface Staffing Patterns

The pattern engine reads engagement trajectories, client communication signals, and partner performance history to identify fit dimensions that billable hours alone can't reveal.

Step 03

Recommend with Confidence

Partners receive ranked staffing recommendations with supporting rationale — which analyst's background matches this client's tech stack, which partner's style fits their decision culture.

Early Feedback

From firms putting signal over seniority.

Before Kelpmont, our staffing decisions were basically whoever Sarah thought of first. Now we have actual signal on which partner clicks with which type of client.

Marcus Chen

COO, Thornbridge Advisory

We were leaving engagement pattern data on the table in our CRM for years. Kelpmont was the first tool that actually surfaced it in a form partners use.

Priya Nair

Principal, Ridgemont Consulting Group

Get Started

Smarter staffing starts with better signal.

Kelpmont is in active evaluation with ~30 mid-market consulting firms. Request early access to join them.