Turning Artificial Intelligence into Sales Value: Lessons from the FAZ “KI-Playbook” and the JTBD Framework
In its ongoing article series “DAS KI-PLAYBOOK”, Frankfurter Allgemeine Zeitung the author provides a compelling framework for how businesses should approach the use of generative AI. It’s not about placing AI on top of existing processes. The series encourages companies to go deeper and rethink what work really matters and where AI can generate bigger value.
This perspective underscores the necessity of focusing on value creation rather than process refinement. By reframing business challenges through the lens of experts evaluating the process framework in the company, organizations can unlock transformative potential where it matters most.
At the heart of the article is the concept of Jobs to be Done (JTBD). JTBD defines the kind of radical progress a business aims to achieve, whether on a strategic, operative or tactical level, enabled using AI.
The Blue Ocean concept (a term inspired by the concept “Blue Ocean Strategy” developed by R. Mauborgne and W. Ch. Kim) is closely linked to JTBD: It focuses on identifying high impact, often overlooked tasks where AI can unlock new value. The goal is not to improve existing processes but to rethink where and how much more value can be created through AI transformation. The author describes these as Blue Ocean Jobs, referring to high-value tasks that are sometimes known but often remain unidentified or unexecuted. In many cases, they are left aside because they seem too complex, too fragmented across systems or too demanding in terms of time and coordination. This is exactly where a first-principles approach is essential: to uncover these opportunities by breaking down processes into their core components. AI, when applied in a targeted way, can then make these tasks feasible and unlock new business value. While JTBDs can be found on all levels (strategic, operative, tactical) not all of them qualify as Blue Ocean Jobs.
Strategic, Operative and Tactical JTBDs
JTBDs can be found on different levels of the organization:
- Strategic JTBDs focus on company-wide goals. For example: “Identify high growth market segments so the sales organization can adjust resources accordingly.”
- Operative JTBDs relate to team or departmental workflows. For example: “Prioritize and assign inbound leads based on their sales potential.”
- Tactical JTBDs are tied to daily tasks and actions. For example: “Prepare a relevant follow-up message after a first sales call.”
To bring value through AI, the user has to break each process into three components:
Input → Transformation → Output. Only then can we decide which AI method is best suited to support or scale the task.
The following examples illustrate how JTBDs and Blue Ocean Jobs in sales can be broken down using the JTBD framework, focusing on the core intent and value of each task rather than detailed implementation steps.
Discovering New Market Niches
JTBD: Identify new customer segments early so that we can allocate sales resources more effectively and increase win rates in untapped markets.
- Input: e.g. Company data from sources like LinkedIn or Crunchbase
- Transformation: Use a web-scraping tool like PhantomBuster to collect company data across regions, industries or growth signals. Feed this into ChatGPT to group companies based on patterns (e.g. logistics startups in growth phase, B2B SaaS firms hiring in certain roles).
- Output: A prioritized list of promising market niches with concrete lead groups
- Value: This is not a traditional segmentation analysis. It uncovers market potential that would otherwise stay hidden in scattered web sources. The result is more focused sales efforts with a higher likelihood of early wins.
Mapping Relevant Stakeholders
JTBD: Identify the relevant stakeholders in complex accounts so that we can reduce sales cycles and increase the likelihood of successful deals.
- Input: Public org data from LinkedIn profiles and company websites.
- Transformation: Use PhantomBuster to extract job titles and names from target companies. Then apply a GPT-based prompt to analyze who likely holds decision-making power, who influences purchasing and who might block progress.
- Output: A structured stakeholder map with suggested messaging angles per role.
- Value: Instead of relying on assumptions or generic outreach, the sales team is equipped with a role-specific entry strategy. This shortens the sales cycle and improves win rates by addressing the right people from the beginning.
Prioritizing Leads Based on Fit and Potential
JTBD: Focus sales time on leads that align with our ideal customer profile and long-term strategy, so that we build a healthier and more scalable pipeline.
- Input: CRM data, lead profile information, recent interaction history
- Transformation: Create a scoring system (e.g. based on company size, industry match, level of interest). Use GPT to apply this logic consistently to a large set of leads. The output includes scoring explanations and confidence levels.
- Output: Categorized lead list with clear A‑B‑C priorities and assigned follow-up actions
- Value: Replaces inconsistent lead scoring done manually or not at all. Sales teams concentrate on the leads that matter most, reducing time waste and increasing the quality of customer interaction.
Drafting Personalized Proposals
JTBD: Deliver high-quality, personalized proposals without slowing down the sales process.
- Input: Customer pain points, key value proposition, pricing structure
- Transformation: Feed this data into ChatGPT or a Custom GPT trained on company templates and tone of voice. The model generates a proposal draft that includes relevant phrasing, product framing and structure.
- Output: A ready-to-review proposal aligned with the specific client situation
- Value: Reduces proposal preparation time from hours to minutes. More consistency in messaging. Stronger perception of professionalism and relevance from the client’s point of view.
A Practical Outlook: What to Do with This Framework
The real power of AI in sales does not come from “doing the same things faster.” It comes from recognizing and acting on tasks that were previously too complex, scattered or invisible to tackle at all. These are your JTBD and the Blue Ocean Jobs.
To begin working with this framework:
- Analyze your existing sales activities using first principles. What are the actual goals behind each task? What information flows into them? What results do they produce?
- Prioritize the tasks that show the biggest potential for value creation or the highest loss due to inefficiency or neglect.
- Match the right AI tools and methods to the transformation steps, this could involve prompt design, web automation, data augmentation or building custom GPT assistants.
- Integrate these solutions into the daily structure of your team. Make sure strategic JTBDs drive focus, operative JTBDs improve flow and tactical JTBDs benefit from smart execution.
AI is not a shortcut, it is a foundational enabler. When applied with intention and the right prompting methods, it helps uncover sales potential that previously remained out of reach. It supports the execution of high value tasks, streamlines core processes and enables new ways of working across the value chain. AI becomes the baseline for redefining how value is created in modern sales organizations.
One final point should not be overlooked: when breaking down processes into components, we must also consider how these elements interact. In practice, a well-designed process is often more than the sum of its parts. Organizational culture, legacy systems and informal routines play a major role in whether change succeeds or stalls. As the saying goes, “culture eats strategy for breakfast”.
This is why applying AI to a greenfield process is fundamentally different from integrating it into existing structures. In established environments, it’s not just about building smarter solutions, but also about embedding them in a way that respects how people work, decide and adapt. The best JTBD frameworks, AI tools or prompt systems won’t deliver value unless they are aligned with the reality of the organization.
As thinkers like Mintzberg, Hamel or Porter have shown, strategy, capabilities, culture and markets are deeply interconnected. A process, no matter how optimized or AI-powered, does not exist in isolation.
In other words: In established organizations, change creates value only when internal processes, culture and external market dynamics are aligned.
(Note: This article was created with conceptual and linguistic support from artificial intelligence)
Vor dem weißen Blatt der KI-Revolution
Von kognitiven Transformationen zu KI-Architekturen
The Fall and Rise of Strategic Planning
The Core Competence of the Corporation
What is Blue Ocean Strategy | About Blue Ocean Strategy
