AI Sales Consulting: Retainer, Project, or Diagnostic
AI sales consulting engagement models, diagnostic, project, or retainer, shape which partnership fits your team's specific needs.
3 AI sales consulting models
AI sales consulting offers diagnostic assessments, project-based work, and ongoing retainers, each suited for different stages of AI adoption.
Understand your AI starting point
A diagnostic assessment evaluates current sales processes, tech stack, data, and team capabilities to identify AI opportunities and readiness.
read: ai-mandate-no-planDeliver specific AI outcomes
Project based engagements implement specific AI solutions or optimize processes within a defined timeframe and budget.
Ongoing strategic AI partnership
A retainer model provides continuous access to AI expertise, strategic guidance, and support for long-term collaboration.
read: vendor-neutral-ai-consultingWatch for AI consulting red flags
Be wary of guaranteed ROI figures, one size fits all solutions, lack of transparency, and no discussion of data hygiene.
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Book a discovery callAI sales consulting engagement models typically fall into three categories: diagnostic assessments, project-based work, and ongoing retainers. Each model serves a distinct purpose and is suited for different stages of a company’s AI adoption journey. Choosing the correct model depends on your current needs, budget, and desired outcomes.
This article breaks down each model, helping you determine which approach aligns best with your organization’s goals.
Diagnostic Assessments: Understanding Your Starting Point
A diagnostic assessment is a focused, short-term engagement. It provides a clear picture of your current state regarding AI readiness and potential. It is often the first step for companies unsure where to begin with AI in sales.
What it is
A diagnostic assessment involves a consultant evaluating your existing sales processes, technology stack, data infrastructure, and team capabilities. The goal is to identify opportunities for AI integration, pinpoint specific pain points, and assess your organization’s capacity for change. The output is typically a detailed report with recommendations, a prioritized roadmap, and an estimated ROI for potential AI initiatives.
When to use it
This model is ideal if you:
- Are new to AI in sales and need help defining a strategy.
- Have an AI mandate but lack a clear plan (see also: Your AI mandate has no plan. Here is where to start).
- Want to understand your AI readiness before committing significant resources.
- Need an objective third-party evaluation of your current sales tech stack.
- Are considering a specific AI tool but need to validate its potential impact.
Expected outcomes
You should expect:
- A comprehensive report detailing your current state and AI potential.
- Prioritized recommendations for AI initiatives.
- A high-level AI roadmap (e.g., What is an AI roadmap for a sales team).
- An estimate of the potential ROI for recommended projects.
- Clarity on next steps, whether that involves a project or further internal work.
Cost and duration
Diagnostic assessments are typically fixed-fee engagements, ranging from a few days to a few weeks. The cost varies based on the scope and complexity of your organization. This model offers a lower financial commitment compared to projects or retainers, making it a good entry point.
Project-Based Engagements: Delivering Specific Outcomes
Project-based engagements are designed to achieve a specific, defined outcome within a set timeframe and budget. This model is suitable when you have a clear problem to solve or a specific AI solution to implement.
What it is
In a project-based engagement, the consultant works with your team to execute a defined scope of work. This could involve:
- Implementing a new AI sales tool.
- Optimizing an existing sales process using AI.
- Developing custom AI models for lead scoring or forecasting.
- Integrating AI tools with your CRM and other systems.
- Conducting a sales tech stack consolidation effort with an AI focus.
The project has clear deliverables, milestones, and success metrics agreed upon upfront.
When to use it
This model is best if you:
- Have identified a specific AI initiative from a diagnostic or internal assessment.
- Need external expertise to implement a particular AI tool or strategy.
- Have a clear budget and timeline for a defined outcome.
- Lack the internal resources or specialized skills to execute the project yourself.
- Are looking to pilot a specific AI solution (see also: Why most AI sales pilots fail before they scale).
Expected outcomes
You should expect:
- The successful delivery of the agreed-upon project scope.
- Tangible results, such as a deployed AI tool, an optimized process, or a custom model.
- Documentation of the implemented solution and processes.
- Knowledge transfer to your internal team to ensure sustainability.
- Measurement of the project’s impact against predefined success metrics.
Cost and duration
Project-based engagements are typically fixed-price or time-and-materials, depending on the project’s complexity and potential for scope changes. They can range from several weeks to several months. The cost is generally higher than a diagnostic but provides a concrete, measurable outcome.
Retainer Engagements: Ongoing Strategic Partnership
A retainer model establishes an ongoing partnership with a consultant. It provides continuous access to expertise, strategic guidance, and support. This model is for companies seeking long-term collaboration and iterative development of their AI capabilities.
What it is
Under a retainer, you pay a recurring fee for a set amount of consultant time or access to specific services each month. This allows for flexibility in addressing evolving needs, strategic planning, and continuous optimization. The consultant acts as an extension of your team, providing proactive advice and reactive support.
When to use it
This model is suitable if you:
- Are committed to an ongoing AI strategy and need continuous expert guidance.
- Require fractional AI leadership or specialized skills not available internally.
- Are undergoing significant organizational change or digital transformation.
- Need help with iterative development, A/B testing, and continuous improvement of AI systems.
- Want a trusted advisor to help with vendor-neutral AI consulting and evaluation.
- Prefer a predictable cost for ongoing support and strategic input.
Expected outcomes
You should expect:
- Consistent access to expert AI sales knowledge and strategic advice.
- Ongoing support for AI tool selection, implementation, and optimization.
- Help with adapting your AI strategy to market changes and new technologies.
- Proactive identification of new AI opportunities and challenges.
- Regular reporting and strategic reviews.
Cost and duration
Retainer engagements are typically billed monthly or quarterly, with contracts often spanning six months to a year or more. The cost varies based on the level of engagement and the consultant’s expertise. While the monthly cost might seem higher than a diagnostic, it provides continuous value and strategic partnership over time.
Choosing the Right Model
Selecting the appropriate AI sales consulting engagement model requires a clear understanding of your current situation and future aspirations.
Assess your current AI maturity
- Beginner (Low Maturity): If you are just starting or have an undefined AI strategy, a diagnostic assessment is likely the best first step. It will help you gain clarity and define a roadmap.
- Intermediate (Medium Maturity): If you have identified specific AI opportunities or challenges, a project-based engagement can help you execute those initiatives and achieve tangible results.
- Advanced (High Maturity): If you have an established AI strategy and need ongoing support, strategic guidance, or fractional expertise, a retainer model will provide continuous value.
Define your objectives
Clearly articulate what you hope to achieve with AI sales consulting.
- Do you need a strategy? (Diagnostic)
- Do you need to implement a specific solution? (Project)
- Do you need ongoing guidance and optimization? (Retainer)
Consider your budget and timeline
- Limited budget, short-term clarity: Diagnostic.
- Defined budget, specific outcome: Project.
- Predictable ongoing cost, long-term partnership: Retainer.
Evaluate internal resources
Do you have the internal expertise and capacity to manage AI initiatives? If not, a project or retainer can fill those gaps. Do you need knowledge transfer and training for your team? Ensure the chosen model includes this.
What to Expect on a Discovery Call
Regardless of the model you think is best, the first step is usually a discovery call. This initial conversation is crucial for both you and the consultant to determine fit and scope.
During a discovery call, be prepared to discuss:
- Your current sales processes and challenges.
- Your existing technology stack.
- Your team’s structure and capabilities.
- Your strategic goals for AI.
- Any previous attempts or experiences with AI.
The consultant will ask questions to understand your needs and propose the most suitable engagement model. This is also your opportunity to ask about their approach, experience, and what you can expect from working with them. For more on this, refer to What to expect on a discovery call.
“A good consultant will tailor solutions to your specific needs, not push a generic product or service.”
Red Flags in AI Sales Consulting Pitches
When evaluating AI sales consultants, be aware of potential red flags. These can indicate a mismatch or a consultant who may not deliver on their promises.
Look out for:
- Guaranteed ROI figures: No consultant can guarantee a specific ROI without a deep understanding of your unique business. Be wary of consultants who promise unrealistic returns without proper analysis. You can learn more about how to calculate ROI yourself in How to calculate the real ROI of a sales AI tool before you buy it.
- One-size-fits-all solutions: AI is not a magic bullet. A good consultant will tailor solutions to your specific needs, not push a generic product or service.
- Lack of transparency: Be cautious if a consultant is vague about their process, deliverables, or pricing structure.
- Overemphasis on technology over strategy: AI tools are only as good as the strategy behind them. A consultant should focus on how AI supports your business objectives, not just the tools themselves.
- No discussion of data hygiene: AI relies heavily on clean, organized data. If a consultant doesn’t discuss your CRM data hygiene (see also: CRM data hygiene: the prerequisite nobody wants to do before AI), that is a significant red flag.
For a deeper dive into warning signs, read Red flags in an AI sales consultant pitch.
“AI tools are only as good as the strategy behind them.”
Conclusion
Choosing the right AI sales consulting engagement model is a strategic decision that impacts your budget, timeline, and ultimately, the success of your AI initiatives. Whether you opt for a diagnostic, project, or retainer, a clear understanding of each model’s purpose and expected outcomes will help you forge a productive partnership. Focus on consultants who prioritize understanding your specific challenges and aligning their services with your strategic goals.
FAQ
What are the main AI sales consulting engagement models?
The primary AI sales consulting engagement models are diagnostic assessments, project-based work, and ongoing retainers. Each model suits different organizational needs and stages of AI adoption.
When should a diagnostic assessment be used for AI sales consulting?
A diagnostic assessment is best when you need to understand your current AI readiness, identify specific pain points, or define a clear scope for future AI initiatives without committing to a large project.
What is a project-based AI sales consulting engagement?
A project-based engagement focuses on delivering a specific outcome within a defined timeline and budget, such as implementing a new AI tool or optimizing an existing sales process with AI components.
Why choose a retainer model for AI sales consulting?
A retainer model provides continuous access to expert guidance, strategic planning, and ongoing support for evolving AI initiatives, making it suitable for companies seeking long-term partnership and iterative development.
How do I choose the right AI sales consulting model?
The right model depends on your company's current AI maturity, budget, desired outcomes, and internal resources. A discovery call can help clarify which model aligns best with your objectives.
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