FG Core Position Statement

Our Frantz Group AI practice is committed to helping our early adopter customers gain first user leverage of AI to efficiently grow sales resources, market coverage and revenue.

To become essentially, “The leader that others will later follow…” To learn the critical new “business capability” that everyone will need to learn sooner or later.

Our perspective is, AI is leveling the playing field in business sales. It’s not about who has the most resources anymore—it’s about who learns and leverages the smartest tools.

Businesses that embrace AI in sales today are creating systems that work 24/7, scale without limits, and drive decisions backed by data.

The opportunity is massive.

The question isn’t if AI will transform everyone’s industry—it’s whether you’ll lead the change in yours.

Stepping back and taking in the big AI picture, we all need to understand the industry is moving quickly toward Artificial General Intelligence.

Whether it arrives in two years or five years or less, it is coming.

So, it makes sense to get started with AI in sales as it exists today, to begin your learning journey that will build your fundamental business capability for when AGI arrives.

What’s AGI?

Artificial general intelligence (AGI) is a type of artificial intelligence (AI) that matches or surpasses human cognitive capabilities across a wide range of cognitive tasks. This contrasts with narrow AI, which is limited to specific tasks.[1] Artificial superintelligence (ASI), on the other hand, refers to AGI that greatly exceeds human cognitive capabilities. AGI is considered one of the definitions of strong AI.

Sam Altman, CEO of OpenAI, has outlined a five-level framework to chart the progression toward Artificial General Intelligence (AGI). This framework delineates the evolution of AI capabilities from basic conversational agents to systems capable of performing the functions of entire organizations. The levels are as follows:

  1. Level 1: Chatbots
    • Description: AI systems with natural conversational language abilities.
    • Capabilities: Engage in human-like dialogue, understand context, and provide relevant response. (e.g., ChatGPT and other current AI chatbots)
  2. Level 2: Reasoners
    • Description: AI systems with human-level problem-solving skills across a broad range of topics.
    • Capabilities: Solve complex problems in areas such as mathematics, science, and coding without external tools
    • Current Status: OpenAI is approaching this level with models like o1, designed to spend more time thinking before responding, thereby enhancing reasoning capabilities.
  3. Agents
    • Description: AI systems that can take actions independently or based on human instructions.
    • Capabilities: Operate autonomously over extended periods, performing tasks, making decisions, and adapting to new situations without human intervention.
    • Potential Applications: Autonomous personal assistants, AI-driven project managers.
  4. Innovators
    • Description: AI systems that can aid in the invention of new ideas and contribute to human knowledge.
    • Capabilities: Generate original ideas, create innovative solutions, and drive technological and scientific breakthroughs.
    • Potential Impact: Accelerate research and development across various fields.
  5. Level 5: Organizations (AGI)
    • Description: AI systems capable of performing all the work of an organization independently.
    • Capabilities: Manage complex workflows, make strategic decisions, and optimize operations without human oversight.
    • Significance: Represents the achievement of AGI, where AI matches or surpasses human intelligence across diverse tasks.

Altman has expressed confidence in OpenAI’s roadmap toward AGI, suggesting that AI agents could become integral parts of the workforce as early as 2025.

Our perspective is Sales AI technology today is at level one, approaching level two. Ready to be put to work in starter use case situations. So, let’s begin to think about where we would put it to work.

To begin to leverage AI in business sales, a firm must first decide what use case and tools will most likely provide the most reliable and largest return.

Then, an initial AI sales operation can be run in parallel to your legacy process. During the initial experience, we would use A – B testing results to reliably show us the best of breed operation.

When the AB testing results are in, we can begin to plan for scaling it up.

This is what we are here to do, help you select your first use case, execute it, learn from it and scale it up.

Let’s get started!

Who is The Frantz Group? What makes us the best choice to partner with on considering and implementing Sales AI technology?

31 years of experience

We have hired, trained and managed over 1200 Human BDRs in that time.

We have continuously maintained a library of work and management techniques used.

We can tie your business strategy to your sales AI strategy.

We can make your AI agent a lot more human

-John Frantz

Sales AI Agent Ramp Up Services Offered

Prior to any Sales Ai Agent Pilot to begin, the below preparation actions need to be completed.

  • Determination of the most impactful Sales Revenue Constraint that can be overcome with a Sales AI.
  • Program Objectives Definition
  • Ideal Customer Profile Documented, Working Data Compiled
  • Ideal Solution for Target Market Selected
  • Target Prospect Persona Characteristics Documented
  • Solution Benefits Library Started
  • Sales Agent Personality and Tone Selection
  • Full Sales Playbook Documentation Including Hand Off to Human Sales Reps (Appointments)
  • Human Sales Rep Lead Definition Completed
  • Clear Organization and Solution Value Proposition Development
  • Knowledge Base and Content Library Created
  • AI Agent Script Development
  • Pain Point Messaging Assembled
  • Call to Action Plan Completed
  • Objections Handling Procedures Completed
  • Sequence Planning Completed
  • Dashboard KPIs Design Completed
  • Quality Control Process Built and Documented
  • Agent Monitoring Process Defined
  • Agent Correction and Coaching Process Defined
  • A-B Testing Procedure Defined. Objective is Identification of Best Agent Practice.
  • AI Agent Program Roles and Responsibilities Documented.

Non-Sales AI Agency Solutions

Frantz Group specializes in providing artificial intelligence (AI) services and solutions to other businesses, institutions, or individuals. We leverage advanced AI technologies, such as machine learning, natural language processing, computer vision, and data analytics, to address a wide range of business needs and challenges.

1. AI Strategy and Consulting:

  • Assessing business needs and identifying opportunities for AI implementation.
  • Developing strategic roadmaps for AI adoption.
  • Providing guidance on AI best practices, tools, and technologies.

2. Custom AI Solutions Development:

  • Designing and building custom AI models and algorithms tailored to specific business challenges.
  • Implementing AI-powered applications, such as chatbots, recommendation systems, and predictive analytics tools.

3. Data Management and Analysis:

  • Collecting, cleaning, and preparing data for AI model training.
  • Conducting data analysis to derive insights and inform decision-making.

4. Machine Learning and Deep Learning:

  • Developing and deploying machine learning models for tasks like classification, regression, and clustering.
  • Creating deep learning models for complex tasks such as image and speech recognition.

5. Natural Language Processing (NLP):

  • Implementing NLP solutions for text analysis, sentiment analysis, language translation, and more.
  • Building conversational AI systems, including virtual assistants and chatbots.

6. Computer Vision:

  • Developing solutions for image and video analysis, object detection, facial recognition, and similar tasks.
  • Implementing visual inspection systems for quality control and monitoring.

7. AI Integration and Deployment:

  • Integrating AI solutions with existing business systems and workflows.
  • Ensuring the scalability and robustness of AI applications in production environments.

8. Training and Support:

  • Providing training programs for staff to effectively use and manage AI tools and solutions.
  • Offering ongoing technical support and maintenance for deployed AI systems.

Industries served include, but not limited to:

  • Healthcare: AI for diagnostics, patient care, and operational efficiency.
  • Finance: AI for fraud detection, risk management, and personalized banking.
  • Retail: AI for inventory management, customer insights, and personalized marketing.
  • Manufacturing: AI for predictive maintenance, quality control, and supply chain optimization.
  • Automotive: AI for predictive maintenance, and supply chain logistics.
  • Energy: AI for demand forecasting, energy management, and predictive maintenance.