Business
Diagrams | Matrices | Thinkers
What does the future of good business look like?
Shouldn't technology make it easier for anyone to start and run a successful business?
Operating Model
Use First Principles to build systems that deliver optimum outcomes and create a positive flywheel of goodwill.
- Principles: The fundamentals of business.
- Strategy: How you provide a valuable point of difference.
- Models: Systems you use to make money.
- Playbook: How you execute business models.
- Workforce: Coordinate for maximum effect.
- Records: Single source of truth.
- Problems: Opportunities to improve
The Lean Playbook
Optimize Strategy to build an operating platform of best tools, processes, and people to innovate at the speed on inspiration to maximize gains with minimum waste.
| Cost Centre | Intent | Mindset | Activities Count | AI Agent% | SaaS Tools |
|---|---|---|---|---|---|
| Strategy | Growth | Imaginative | 0 | 0 | |
| Product Development | Growth | Inventive | 0 | ||
| Sales | Revenue | Human | 0 | ||
| Marketing | Revenue | Innovative | 0 | ||
| Customer Success | Growth | Human | 0 | ||
| Management | Costs | Logistic | 0 | ||
| Procurement | Costs | Compliance | 0 | ||
| Process Optimisation | Costs | Innovative | 0 | ||
| Property Management | Costs | Routine | 0 | ||
| Compliance | Costs | Routine | 0 | ||
| Legal | Costs | Routine | 0 |
Digital Platform
Imagine if the discipline of manufacturing improvement were applied to global a standardized set of business workflows.
Digital Mycelium: An Open Platform for Business Innovation through balancing the Yin of AI Exploration and the Yang Blockchain Integrity to deterministically drive meaningful progress across metrics that quantify success. By creating an interconnected network of crypto protocols and AI agents that can support emerging businesses. Just as mycelium forms the underlying network of fungal threads that connect and nourish an ecosystem, this digital platform would provide the foundational infrastructure for entrepreneurs to rapidly test and implement business ideas.
Decentralized Technology
Crypto Protocols: These would serve as the trustless verification spine of the platform, ensuring integrity, transparency, and secure value exchange without centralized intermediaries. They would handle:
- Smart contracts for automated business logic
- Tokenized incentive structures
- Decentralized identity and reputation systems
AI Agents: These would function as dynamic intention-orchestrators within the system:
- Predicting market needs and trends
- Automating routine business processes
- Providing insights and analytics
- Facilitating connections between complementary business ideas
Tokenized Ownership
Tokenization is the process of determining value through digital tokens, unlocking liquidity and enabling fractional ownership in areas like real estate, art, or even supply chains.
- Stablecoins: Digital currencies pegged to stable assets, enabling low-cost global transactions and reducing financial volatility for businesses.
- Industry: Decentralized Physical Infrastructure Networks that monetize underused assets (e.g., sensors, servers) through blockchain-based systems, creating new revenue streams.
Advantages
- Minimal Wasted Effort: By providing pre-built, modular components, entrepreneurs can focus on their unique value proposition rather than rebuilding technical infrastructure.
- Market-Focused Development: The platform would enable rapid testing of business hypotheses, allowing founders to quickly determine if their idea satisfies a real market need.
- Sustainable Business Models: The combination of efficient resource use and market validation would lead to businesses that are economically sustainable in the long term.
- Open Collaboration: Engineers could contribute to and improve the platform, creating a positive feedback loop where successful implementations strengthen the underlying infrastructure.
Interoperable Protocols
- Blockchain Standards: Know where to innovate at the edges
- Proof of Creativity: Register your IP on-chain and add usage terms to it in seconds
- Model Context Protocol: Ensures AI Agents operate effectively by providing relevant contextual capabilities.
- Agent Commerce Protocol: Facilitates secure transactions between AI agents and decentralized marketplaces.
Opportunities
Opportunities for AI Augmented Workflows
- Predictive Analytics Sophisticated machine learning algorithms can analyze massive datasets to uncover hidden patterns and emerging trends, providing accurate predictive insights for better planning. Financial institutions use AI for personalized investment options, while airlines predict customer needs like preemptive re-booking options or lounge access.
- AI and HR AI streamlines human resource processes like recruitment, training, and performance evaluation by automating resume screening and matching candidates to suitable job roles.
- Generative AI Generative AI can automatically generate text, images, and videos from natural language descriptions, transforming content marketing and creative processes by producing product photos, social media posts, blog articles, and ad copy.
- Decision Intelligence Decision intelligence leverages predictive analytics and integrated AI systems to directly inform business actions, automating and optimizing decision-making and operational processes.
- Swarm Learning Swarm learning enables interconnected AIs to share learnings and insights to rapidly achieve higher capability and improve performance across departments.
- AI-driven Marketing AI enables brands to anticipate customer needs through predictive analytics and allows for real-time adjustments in campaigns based on browsing behaviors and review trends.
Greater Collaboration and Coordination
- Culture and Social Glue: The human element of decentralized systems—shared values and trust mechanisms that bind communities together in Web3 ecosystems.
- Coordination Games: Game-theoretic approaches to incentivize collaboration and align interests in decentralized systems, fostering innovation and productivity.
- Incentive Engineering: Designing reward structures to drive desired behaviors in customers, employees, or decentralized communities.
Challenges
Challenges and Considerations
- Data Quality AI's power depends on the quality of its training data; incomplete or biased data can lead to unreliable outputs and flawed decisions.
- Ethical Concerns Ensuring AI models are fair, explainable, and accountable is crucial for building trust.
- Cost and ROI The high costs of AI adoption can be a barrier, especially for smaller organizations with unclear returns on investment.
- Workforce Impact Addressing employee fears of job displacement and up-skilling people to work alongside AI is essential.
Strategy
Explore, catalogue and the audit every workflow that runs business to build a database for competition.
- Which activities are most important?
- Which activities can be replaced by AI?
- Which activities can AI assist humans best?
- Which activities do humans add the most value? What capabilities do they require?
- What can responsibly, ethically and effectively be outsourced to AI?
- How will crypto primitives change the rules of business operations?
- Are you using the best tech choice? Buy or build?
- Do you have the talent mix to mitigate risk and maximize opportunity?
- Are you regularly looking at the numbers you need to and can trust?
See Strategy Questions for a more comprehensive review.
Implementation
Start with low risk and internal facing operations, then expand AI integration as you prove confidence in your systems that validate: