Book a Consultation

Find out whether your marketing operations are ready for AI.

Most teams are under pressure to adopt AI but cannot say whether their data, workflows, permissions, reporting, and platform processes are ready for it. The AI Readiness Audit answers that. It identifies what you can safely automate now, what needs better governance first, and what should stay human-controlled.

OverviewAI Readiness AuditGoverned MCP Access
Request an AI Readiness Audit →AI Enablement overview

Enablement can go wrong in three predictable ways.

Why this matters

There are three ways this usually goes wrong: bad data was the foundation for scaling causing poor outcomes, write-access was granted to the wrong users causing damage, or necessary human oversight steps were removed causing mistakes to needlessly occur. Knowing which of those you are exposed to, before you automate anything, is the whole point of the audit.

What we review, and what you walk away with.

What we review
  • MarTech stack data quality
  • Lifecycle and routing logic
  • Campaign intake and execution workflows
  • Reporting and attribution readiness
  • User permissions and access risks
  • API and MCP readiness
  • Template and asset governance
  • Human review and QA processes
  • Agent and prompt design, including efficiency opportunities
  • Near-term AI use cases with real value, and areas where automation would create risk
What you get
  • A readiness scorecard
  • A risk and opportunity map
  • Recommended AI and MCP use cases, sequenced by value and safety
  • Data quality and governance recommendations
  • A human-in-the-loop model
  • Guidance on where agent and prompt design can keep platform consumption efficient

In our clients' words.

“

RightWave transformed our marketing operations. We no longer have to manage employee absences, product training, and technical recruitment.

Marketing Operations HeadGlobal SaaS Company
“

RightWave got our MarTech stack running, integrated, and operational in less than four weeks to meet a highly anticipated and publicized launch date.

Marketing HeadSaaS Startup
“

RightWave's audit and action plan were game-changers. They streamlined our marketing tech, improved data quality, and enhanced our team's capabilities.

Marketing HeadGlobal Software Company

Frequently asked questions.

What does the AI Readiness Audit review?
MarTech stack data quality, lifecycle and routing logic, campaign intake and execution workflows, reporting and attribution readiness, user permissions and access risks, API and MCP readiness, template and asset governance, human review and QA processes, agent and prompt design and its efficiency opportunities. We do this to determine near-term AI use cases with real value versus areas where automation would create risk or not deliver meaningful value.
How long does the audit take?
Once we have login access to your systems, our audit team gets to work. Generally speaking, we are ready to present our findings and recommendations within three weeks. Prior to that, we may schedule one or more calls with your team to ask questions and even get preliminary feedback to ensure our recommendations align with your team’s needs and priorities.
Why do we need an audit before adopting AI?
Because most teams cannot say whether their data, workflows, permissions, reporting, and platform processes are ready. The audit identifies what you can safely automate now, what needs governance first, and what should stay human-controlled, protecting you from scaling bad data, opening ungoverned access, or running inefficient agents.
Does the audit commit us to a specific AI rollout?
No. It prioritizes use cases by value and safety with a “human-in-the-loop” model. You then decide what to enable, in what order, and with what governance in place.

See what is ready to automate now.

Request an AI Readiness Audit →AI Enablement overview