Process #1Core Operating Framework

Leads & Sales

How high-value opportunities are generated, qualified, and converted into partners.

Process HealthTarget > 80%
82%composite score
End-to-End Cycle Time
14 dayslead time

From trigger to completion handoff

Cost / Acquisition
$847

Primary unit economics indicator

Founder InvolvementTarget < 10%
12%of weekly hours

✓ Delegated to Sarah Chen

🎯 Process Purpose

Predictably generate and convert high-fit client engagements while minimizing non-value qualification time.

📥 Process Inputs

Target accounts, inbound inquiries, referral introductions, website signals.

📤 Process Outputs

Signed contracts, defined engagement scope, deposit confirmation, onboarding kickoff trigger.

Execution Architecture

Step-by-Step Workflow Visualizer

Process Steps Flow(5 total steps)

Click any step to inspect checkpoints, tools, and AI opportunities.

1⚡ Automated
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Inbound Signal & Ingestion

Capture inbound lead submissions and enriched firmographic profile data.

SCSarah Chen
5m work+15m wait
2✨ AI-Assisted
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AI Lead Scoring & Context Prep

Autonomous evaluation of ICP fit, operational maturity indicators, and context summary generation.

AI Opportunity

Automated ICP Evaluation & Dossier

SCSarah Chen
2m work+3m wait
3👤 Manual
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Discovery & Bottleneck Assessment

Structured 30-minute diagnosis of current operational friction, systems sprawl, and target outcomes.

MMMike Mars
45m work+2h wait
4⚙️ Semi-Auto
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Architecture & Solution Proposal

Synthesize discovery findings into an interactive MARS-OS solution blueprint and commercial terms.

AI Opportunity

Structured Proposal Assembly

MMMike Mars
60m work+12h wait
5⚡ Automated
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Contract Execution & Deposit Kickoff

Countersign agreement, verify initial retainer deposit, and trigger automated client onboarding workflow.

SCSarah Chen
10m work+30m wait
Active Steps5 Steps
Touch Time2.0 hrs
Queue / Delay Time14.8 hrs
AI & Auto Leverage100%
💡Related Operational InsightSOP-001

Lead data must be typed and validated at ingestion. Messy unstructured records cause autonomous agent scoring to hallucinate.

Before You Implement AI, Clean Up Your DataRead: Before You Implement AI, Clean Up Your Data →
Contextual Learning

How to Build & Optimize This Process