The Problem

B2B management consultancies — firms with 10 to 50 employees, managing 8 to 20 active client accounts worth $500K to $5M in annual revenue — are operating client relationship health on memory, gut instinct, and periodic check-ins. When a client is about to leave, the consultancy finds out when the client sends the cancellation email.

By that point, the relationship is already over. The account manager's mental model of "things seem fine" was wrong for weeks before anyone noticed.

The reason this happens is not negligence. It is a structural impossibility. Watching 8 to 20 client relationships simultaneously — tracking email tone, meeting cadence, invoice timing, and informal signals from calls — requires more continuous attention than any partner or account manager can give it alongside actual client work. So nobody watches continuously. Everyone reacts.


Four Compounding Pain Points


Target User

Primary: Founders and managing partners at B2B management consultancies with $500K–$5M in annual recurring or project-based client revenue, 8–20 active accounts, no dedicated Client Success function.

Secondary (productized): Any relationship-based professional services firm — agencies, legal practices, financial advisories — where client health depends on distributed human signals rather than product usage telemetry.


The Real Problem Statement

The gap between a client relationship quietly deteriorating and a partner knowing about it, understanding why, and acting on it — that gap is where six-figure engagements are lost. Sentinel closes that gap by making the monitoring continuous, the diagnosis evidence-based, and the recovery outreach immediate.


Why Current Solutions Fall Short

Solution Limitation
Gainsight / Totango Built exclusively for SaaS companies with product usage telemetry. $50K+/year, 12–24 week implementation, requires a dedicated CS admin. A consultancy has none of the data model these tools assume.
CRM (Salesforce, HubSpot, Pipedrive) Records what happened. No predictive signal detection, no compound-pattern reasoning, no drafted recovery outreach.
Spreadsheets + memory The current reality. Backward-looking, manually updated, entirely dependent on someone remembering to check.
Generic AI tools (ChatGPT) One query at a time. No continuous pipeline, no persistent client history, no autonomous scoring or diagnosis.