01 The next organization chart will not tell the whole story
An enterprise can put an agent in every department and still behave like a collection of departments. Sales can move faster while credit risk rises. Procurement can lower a unit price while inventory and service failures absorb the saving. Technology can shorten delivery while the business struggles to decide what deserves to be built.
Koko’s working hypothesis: through 2030 and 2035, more enterprise work will be organized around capabilities that deliver outcomes across functions. Leadership advantage will come from joining those capabilities through trusted knowledge, explicit authority and verified value.
A capability is a repeatable ability to achieve an outcome: fulfill a customer promise, launch a product, allocate capital, develop talent or recover from disruption. It combines people, process, data, technology, policy and partners. A department may contribute to several capabilities. An agent performs work within one; buying an agent does not create the capability.
McKinsey’s agentic-organization framework and BCG’s customer-journey examples point toward smaller teams coordinating work across traditional boundaries. These are directional frameworks and early cases, including projected outcomes. They do not establish that the functional enterprise disappears on a particular date. McKinsey ↗ BCG ↗
The organization chart becomes one view of the enterprise. The capability map, authority map and value record become equally important. This is Koko’s proposed management model, not a consensus forecast.
02 Convergence is plausible. Accountability does not converge automatically.
There is more here than a consultant’s diagram. In a preregistered P&G experiment, AI helped professionals bridge commercial and technical perspectives on product-innovation tasks. The finding supports testing broader team scope. It does not establish that sustained cross-functional execution, professional judgment or control independence can be collapsed into a generalist role. NBER ↗
Three distinctions matter:
- Tasks can converge. An operator may investigate demand, build an analysis and propose a commercial response with AI assistance.
- Expertise must still develop. Someone must recognize when the analysis is incomplete, the exception is material or the proposed action is outside the model’s competence.
- Authority must remain explicit. The ability to propose a price, approve credit and release payment should not become one undifferentiated permission.
Professional disciplines remain important homes for standards, career development and specialist challenge. Internal audit needs independence from the management activities it assesses. Coordination can improve without making assurance another delivery task. The Institute of Internal Auditors ↗
Koko’s hypothesis is therefore a capability-based enterprise with enduring professional accountability. That is a stronger proposition than a prediction of fewer boxes.
03 The C-suite becomes a system of partnerships
The CEO and board set enterprise direction and risk appetite. A business or capability owner remains answerable for an outcome. The CFO connects the outcome to economics and capital. The CIO and CTO make execution dependable. The CDO maintains meaning and evidence. The CAIO helps turn AI into a repeatable enterprise capability. The CISO secures delegated action. People, product, procurement, legal and risk leaders shape the operating conditions.
These contributions overlap in the work. Their responsibilities need to be agreed rather than inferred from titles. Forrester’s CIO perspective emphasizes governed outcomes; its CDO abstract emphasizes trusted data, semantics and context. Russell Reynolds argues that an AI leadership role should fit the enterprise’s need and existing strengths. Forrester ↗ Forrester ↗ Russell Reynolds Associates ↗
The scarce leadership skill may be the ability to resolve trade-offs across these mandates. Faster service can conflict with fraud controls; local autonomy can conflict with reusable architecture; short-term savings can undermine future expertise. The leadership map makes those partnerships concrete.
The CFO Future Guide remains a standalone companion. Its mandate—protect, create and orchestrate enterprise value, grounded in Trusted Finance—is an essential part of the enterprise model. It does not make the CFO the sole owner of every executive’s decisions.
04 What Koko adds to the emerging consensus
The literature already argues for redesigning work, investing in data, developing people and embedding governance. Koko should not claim those ideas as unique.
The differentiated point of view is a connected operating discipline:
Signal → evidence → hypothesis → scenario → resource decision → authorized action → verified outcome → learning and reallocation.
Each material capability should have an owner, an economic baseline, maintained knowledge, a delegation contract, a learning path and an explicit scale/stop decision. Enterprise leadership should resolve conflicts across capabilities rather than merely approve separate functional roadmaps.
That discipline changes the questions leaders ask. How much value survives review, rework, run costs and risk? Can the enterprise reconstruct a material decision? Does learning in one workflow improve the next? Can a capability move between suppliers without losing meaning or control?
The cross-firm comparison distinguishes the selected publications’ emphasis from Koko’s proposed contribution.
05 More than an agentic-AI story
Agentic AI can change coordination and execution. Physical AI can bring those changes into assets, logistics and production. Knowledge engineering can make enterprise meaning and policy usable across systems. Headless software can expose capabilities through interfaces used by agents. Quantum, energy systems, materials and biotechnology can alter particular industries’ economics.
These developments advance at different rates. Commercial quantum usefulness is distinct from post-quantum security preparation. A robot demonstration is distinct from reliable operations. Cheaper inference does not guarantee a lower total bill. The technology map draws on the connected CFO research and keeps those distinctions intact. KPMG ↗ McKinsey ↗ NIST ↗ International Energy Agency ↗ World Economic Forum ↗
Demographics, customer expectations, geopolitics, energy availability and changing obligations also affect the enterprise’s choices. An AI-only future view would miss important constraints and opportunities.
06 Prepare for 2030. Keep 2035 conditional.
2030 is a working design horizon: selected capabilities span functions; common foundations support them; people and agents work within defined authority; leaders can connect results to resources.
2035 is a scenario horizon: the combination of technical usefulness and institutional readiness can produce very different enterprises. Some may coordinate capabilities across organizational boundaries. Others may operate bounded automation within regional or professional constraints. Still others may accumulate impressive tools with disappointing economics.
The next action is to test one material capability and one shared foundation. Establish a baseline, an owner and a decision date. Expand only when the evidence supports the change. The action agenda turns the hypothesis into work that can begin now.