revenue-ops-coach is an ARCHITECT-tier AI blueprint that connects to your CRM, analyzes pipeline health, scores deals with AI precision, forecasts revenue, and identifies coaching opportunities for your sales team — all from a terminal prompt.

**TL;DR:** `revenue-ops-coach` is an ARCHITECT-tier AI assistant that connects to Salesforce, HubSpot, or any CRM via API, analyzes pipeline health, AI-scores every deal, forecasts revenue with confidence intervals, and surfaces specific coaching actions per rep. Runs in under 90 seconds.

The 10-Second Pitch

**AI deal scoring** — reads call notes, email threads, and engagement history to score each deal 0-100 with rationale
**Pipeline health analysis** — detects late-stage stalls, champions at risk, and competitive deals mislabeled as committed
**Revenue forecasting** — generates commit/most-likely/downside forecast with confidence intervals per segment
**Rep coaching cards** — per-rep action items derived from deal patterns: "Sarah's enterprise deals stall at legal review — create objection-handling card"
**CRM auto-enrichment** — fills in missing firmographics, contact social data, and technographic signals via Clearbit/Apollo integration

Setup Directions

Step 1 — Install

mrt install "revenue-ops-coach"

Step 2 — Connect Your CRM

Create `revops.config.json`:

{

"crm": "salesforce",

"api_key_env": "SF_CLIENT_ID",

"api_secret_env": "SF_CLIENT_SECRET",

"forecast_period": "FY2026Q2",

"coaching_enabled": true,

"enrich_providers": ["clearbit", "apollo"]

}

Step 3 — Run Pipeline Analysis

claude -- blueprint revenue-ops-coach --mode analyze --forecast Q2

Step 4 — Generate Coaching Cards

claude -- blueprint revenue-ops-coach --mode coaching --rep "sarah.chen@acme.com"

The Exact Prompt for Mid-Quarter Pipeline Review

Run a full pipeline review for Q2. Score every deal over $50K ACV

using deal velocity, champion engagement, and competitive signals.

Generate a commit forecast with ranges per segment. Flag any deal

where champion hasn't engaged in 14+ days. Output coaching cards

for each at-risk deal with specific rep-level actions.

Pros & Cons

Pros	Cons
AI deal scoring is grounded in actual CRM data, not gut feel	Requires CRM API access — governance approval may be needed

Revenue forecast with confidence intervals is board-ready	Salesforce API rate limits can throttle large org scans

Coaching cards are specific and actionable, not generic	Requires clean CRM data — dirty data produces noisy scores

Auto-enrichment via Clearbit/Apollo fills data gaps automatically	Apollo/Clearbit API costs add to operational budget

Verdict

`revenue-ops-coach` earns the ARCHITECT badge by doing what most revenue ops tools do separately: CRM analysis + deal scoring + forecasting + rep coaching — unified under one blueprint and driven by AI that reads the actual deal data. If you're running a sales team without this, you're making coaching decisions on gut feel instead of signal.

**Best for:** Revenue ops leaders, sales managers, and RevOps analysts who want AI-assisted pipeline management without buying another SaaS tool.

**Alternative:** For lightweight deal tracking without AI scoring, use standard Salesforce/Workspace reports. For enterprise revenue intelligence with ZoomInfo and Gong integration, look at the Enterprise plan instead.

*ARCHITECT-tier blueprint. Available at [mr.technology/blueprints](/blueprints). Pro access required.*

#revenue-ops #CRM #sales #ARCHITECT #forecasting #pipeline #salesforce #HubSpot

ARCHITECT tier handles multi-CRM reconciliation (SF + HubSpot hybrid)	Doesn't yet support Microsoft Dynamics natively

revenue-ops-coach: The ARCHITECT AI That Runs Your Revenue Stack