HOW TO
WORK WITH COXWELL & GAIN
Our method for installing AI Visibility Governance
Coxwell & Gain helps organizations act when AI reveals risks their structure, incentives, and decision paths aren’t built to confront.
OUR ROLE IS TO
Design, install, and govern the organization-wide execution system required for AI-era recommendability, and steward it until the work sticks.
We step in when AI exposes risks your organization isn’t designed to resolve, govern, and prevent.
OUR METHOD FOR INSTALLING
AI VISIBILITY GOVERNANCE
STEP 1
STATE OF THE UNION
AI NARRATIVE RISK PROFILE™
A governance-level diagnostic revealing how AI platforms currently evaluate your brand and where recommendability exposure truly lives.
STEP 2
SYSTEM STANDUP
AVM GOVERNANCE & EXECUTION MODEL™
Design and install the discipline that governs AI-era visibility including ownership, cadence, liability triage, decision-paths, and cross-functional execution.
STEP 3
COXWAIN STEWARDSHIP
RUN THE SYSTEM
DRIVE CROSS-FUNCTIONAL CHANGE
We serve as your AI-era Coxswain and lead cross-functional execution, remediation, and momentum until the system runs cleanly on its own.
STEP 4
TURN COXSWAIN PLANS INTO AI-READY EVIDENCE
NARRATIVE & EVIDENCE EXECUTION
Translate Coxswain decisions into detailed, function-specific execution plans that enable Marketing, Support, Legal, and other teams to produce the trust and fit evidence AI requires to recommend your brand.
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STATE OF THE UNION
AI NARRATIVE RISK PROFILE™
PURPOSE:
Reveal how AI platforms currently interpret your brand and where liability patterns, trust gaps, and contextual risk truly live.
OUTCOME:
Leadership sees AI perceptions they didn’t know that are shaping AI narratives. You’ll see how your brand’s recommendability is being shaped, and where revenue is at risk.
IMPORTANT DISTINCTION:
This is the State of the Union. It establishes a shared, executive-level understanding of AI narrative risk and recommendability exposure. The governance system and response plans are installed in the steps that follow.
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SYSTEM STANDUP
AVM GOVERNANCE & EXECUTION MODEL™
PURPOSE:
Turn State-of-the-Union findings into a governed operating system that can receive, prioritize, and execute corrective actions across the enterprise.
OUTCOME:
AAI narrative risks are no longer trapped in reports or meetings.
They are governed by clear ownership, decision pathways, monitoring, and execution workflows so the organization can respond in a coordinated, repeatable way.
IMPORTANT DISTINCTION:
This installs the operating system that makes continuous, cross-functional action possible. This step does not operate it. That requires an active Coxswain.
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COXSWAIN STEWARDSHIP
RUN THE SYSTEM + DRIVE CROSS-FUNCTIONAL CHANGE
PURPOSE:
Direct and coordinate cross-functional action so that AI narrative risks are addressed through prioritized decisions and operational change, not stalled due to bandwith constraints, analysis, or debate.
OUTCOME:
Negative AI narratives are systematically converted into trusted, recommendable positions as teams execute against a single, governed set of priorities.
IMPORTANT DISTINCTION:
Coxwell & Gain serves as the AVM Coxswain, leading alignment, sequencing, and monitoring so action continues, trade-offs are made, and progress does not stall inside functional silos.
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NARRATIVE & EVIDENCE EXECUTION
TURN COXSWAIN PLANS INTO COUNTER-CONTENT
PURPOSE:
Translate Coxswain decisions into detailed, function-specific execution plans that enable Marketing, Support, Legal, Product, and other teams to produce the trust and fit evidence AI requires to recommend your brand.
OUTCOME:
AI narratives shift as new, verifiable evidence replaces gaps, contradictions, and uncertainty. The brand becomes safer to recommend across buyer types, use cases, and platforms.
IMPORTANT DISTINCTION:
This is not generic content creation or messaging work. It is governed evidence production driven by Coxswain-led priorities so every asset produced directly reduces disqualification risk and increases AI-era recommendability.
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