From Insight to Implementation: The Missing Bridge 

McKinsey’s report lays out four clear stages of agentic evolution: 

1. Individual Augmentation – using agents to boost human productivity. 

1. Task & Workflow Automation – automating existing processes. 

1. Functional Agentic Workflows – re-engineering functions around agents. 

1. Cross-Functional Agentic Systems – agents coordinating entire value streams. 

The logic is sound — but the path between these stages isn’t mapped. 

Most enterprises are stuck in stage one or two, experimenting with agents that automate repetitive tasks.
Few have a repeatable process to redesign business architecture or operating models around agentic systems. 

That repeatable process is exactly what BusinessGPS.ai has built. 

BusinessGPS.ai’s O2O Framework: The Standard Process for the Agentic Enterprise 

At BusinessGPS.ai, we’ve developed what McKinsey’s framework implies but doesn’t define — the O2O (Opportunity-to-Operations) Changing Capability Process. 

It’s a standard, AI-embedded lifecycle that transforms a good idea into a continuously evolving business capability, bridging: 

• Strategy — defining where value and competitive advantage lie. 

• Portfolio Alignment — investing in the right transformation bets. 

• Execution — implementing agentic workflows and adaptive processes. 

• Operations — sustaining performance and learning loops through AI agents. 

Think of it as the ERP of Change — a single, intelligent framework that manages transformation as a measurable process, not an episodic event. 

Why McKinsey’s “Agentic Factory” Needs a Cognitive Upgrade 

McKinsey calls for CEOs to build Agentic Factories — teams that design, govern, and scale AI agents. 

BusinessGPS.ai agrees.
But factories need architecture, not just assembly lines. 

That’s why our framework adds a layer McKinsey only hints at — Cognitive Architecture. 

This layer brings together: 

• ExecMind — embedding leadership style, personality, and decision logic into AI tools. 

• CorporateMind — translating organisational culture, governance, and risk preferences into AI behaviour. 

Together, they ensure AI agents don’t just automate work — they amplify your way of working. 

In practice, this means your AI systems understand how your business thinks, decides, and learns — creating a genuine human-machine partnership. 

The Modular Adaptive Enterprise: From Rigid Silos to Living Systems 

McKinsey’s paper calls for companies to re-architect workflows and operating models.
BusinessGPS.ai builds the next step — the Modular Adaptive Enterprise (MAE). 

In this model: 

• Each Value Stream (e.g., Order-to-Cash, Record-to-Report) becomes an adaptive flow from Opportunity → Operation. 

• Each Capability Module can be independently automated, upgraded, or delegated to AI agents. 

• Each Agentic Node — whether it’s Athena, Arthur, or a process-specific AI — operates within a governed “Agentic Mesh Architecture”. 

It’s not about automating departments — it’s about turning the enterprise into a self-evolving ecosystem that senses, decides, and acts faster than competitors. 

This is how mid-market and SMB companies will compete head-to-head with global enterprises — not by scale, but by adaptability. 

From McKinsey’s Mindsets to Measurable Execution 

McKinsey identifies four essential mindsets for CEOs entering the Agentic Age: