AI Readiness Audit
RightWave's AI Readiness Audit looks at the data, workflows, reporting, permissions and operating processes behind your MarTech stack. We identify where AI can add value now, what needs work first and where human review should remain part of the process.
What we assess
Data & MarTech Readiness
We review the quality, consistency and usability of the data AI will depend on, along with how information moves across your marketing stack.
The goal is simple: make sure AI is not learning from, acting on or scaling problems that already exist.
Lifecycle & Workflow Readiness
We look at lead lifecycle, routing logic, campaign intake and execution workflows to understand where automation could genuinely reduce manual work.
We also identify processes that need to be simplified or fixed before AI is introduced.
Reporting & Measurement Readiness
AI is only useful if you can tell whether it is helping.
We review reporting and attribution foundations, the availability of useful performance data and whether teams can measure the impact of the AI use cases being considered.
Permissions, API & MCP Readiness
Connecting AI to live marketing systems changes the access conversation.
We assess user permissions, API access, MCP readiness and where read and write access should be separated so people and agents can access what they need without having unnecessary control.
Governance & Human Oversight
Not every decision should be automated.
We look at approval processes, QA, asset and template governance and the points where human review should remain in the workflow, especially when an action could affect customers, data or live campaigns.
AI Use Case Prioritization
Not everything that can be automated should be.
We identify near-term opportunities where AI can reduce repetitive work, improve access to information or help teams operate more efficiently, then separate them from use cases that create more complexity, risk or cost than value.
What you get
- AI Readiness Scorecard — where your current Marketing Operations environment is ready and where gaps remain.
- Risk & Opportunity Map — the areas where AI can help and the areas that need attention first.
- Prioritized AI & MCP Use Cases — recommendations ordered around practical value and appropriate levels of control.
- Data & Governance Recommendations — the improvements needed to create a stronger foundation.
- Human-in-the-Loop Model — where people should review, approve or remain directly involved.
- Agent & Prompt Efficiency Guidance — opportunities to keep AI interactions useful without unnecessary platform consumption.
Testimonials
RightWave transformed our marketing operations. We don't have to manage employee absences, product training, and technical recruitment anymore.
Marketing Operations Head
Global 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 Head
SaaS 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 Head
Global Software Company
FAQs
We look across the Marketing Operations foundation that AI will depend on, including data quality, lead lifecycle and routing, campaign workflows, reporting and attribution, user permissions, API and MCP access, governance, QA and human review.
We then use those findings to identify where AI can deliver useful near-term value and where introducing automation would create unnecessary risk or complexity.
Once the required system access is available, we generally expect to present our findings and recommendations within approximately three weeks. We may speak with members of your team during the audit to clarify processes and make sure the recommendations reflect your actual priorities.
No. In many cases, the value of the audit is helping you decide where to start. It can help separate useful opportunities from projects that should wait until the underlying data, processes or controls are stronger.
No. The audit identifies and prioritizes opportunities. You decide what to move forward with, in what order and with what level of governance and human oversight.
For existing RightWave retainer customers, AI enablement can be incorporated into the broader Marketing Operations engagement rather than treated as a completely separate service. That can include foundational readiness work as well as practical automation, agents, MCP access and related enablement where it makes sense for the customer.