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Revenue2026-04-23

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

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.
Quick Access
Install command
$ mrt install revenue-ops
revenue-ops-coach: The ARCHITECT AI That Runs Your Revenue Stack
**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

```bash

mrt install "revenue-ops-coach"

```

Step 2 — Connect Your CRM

Create `revops.config.json`:

```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

```bash

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

```

Step 4 — Generate Coaching Cards

```bash

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 |

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

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.