AI as a Business Capability: What Changes in Strategy? The 5 Perspective Shifts

By Pedro Sonda, dooop

Treating AI as a business capability changes strategy in five ways: (1) the focus shifts from projects to reusable capabilities; (2) leadership moves from IT to the business, with IT as an essential partner; (3) the unit of change shifts from tools to processes; (4) planning moves from fixed annual plans to short review cycles; and (5) ambition shifts from isolated efficiency gains to business results and differentiation. A capability is something the company can do repeatedly, regardless of a specific tool or person. Strategy becomes about building that capability.

Updated October 2026.

Why the Capability Perspective

Data	Source
Nearly three-quarters of high-performing AI companies have redesigned workflows; these companies pursue growth and innovation beyond efficiency	McKinsey, 2026
In companies generating the most value, about 70% of effort goes to people and processes, and only about 10% to algorithms	BCG, 2024
45% of high-maturity organizations keep AI projects operational for three years or more, compared to 20% of low-maturity ones	Gartner, 2025
82% of leaders expect to use "digital labor" (AI agents) to augment workforce capacity in the next 12 to 18 months	Microsoft, 2025

Interpretation: Value and continuity depend on processes, people, and organization, and the next wave (agents) increases this dependence. Strategy focused on capabilities is better prepared for technology changes.

dooop Framework: The 5 Changes

#	From	To	What Changes in Strategy
1	Projects	Capabilities	Invest in data, rules, skills, and components reused across multiple cases
2	Led by IT	Led by the business, with IT	Business-responsible with vision; areas own the results
3	Tool	Process	Each priority describes the workflow before and after
4	Fixed annual plan	Review cycles	Quarterly review with criteria to continue, adjust, or stop
5	Isolated efficiency	Business results and differentiation	Part of the portfolio dedicated to growth and hard-to-copy advantages

The Capability Test

A simple way to know if the company is building capability: was the second use case on a topic faster and cheaper than the first? If each case starts from scratch, the company is accumulating projects. The pillars of this capability are in How to Build Organizational Capability in Artificial Intelligence.

What Changes in the Strategy Document

Section	Project Perspective	Capability Perspective
Objectives	Deploy X tools	Change business indicators and build capabilities
Investment	By project	Shared foundations + staged cases
People	One-time training	Continuous development and redesigned roles
Measurement	Deliverables	Results, reuse, and time to new cases

To avoid reverting to project logic, see How to Prevent AI Strategy from Becoming a Project List.

General Capability and Specific Capability

The capability to work with AI (methods, rules, skills) is general. When applied to data, processes, and knowledge unique to the company, it can become a specific and differentiating capability; see How to Turn AI into a Business-Specific Capability.

What to Do Now

Evaluate the current strategy against the five changes.
Identify two shared capabilities that, once built, would accelerate multiple cases.
Apply the capability test to topics with more than one case.

To build AI as a company capability, learn about dooop consulting.

Frequently Asked Questions

Does thinking in terms of capability delay results? The first case may take a bit longer. From the second case onward, it usually accelerates because data, rules, and skills already exist.

Does IT lose importance? No. IT becomes a partner in building shared technical capabilities rather than the sole party responsible for projects.

About dooop

dooop is a consultancy based in Caxias do Sul (RS) that prepares leaders and organizations to transform artificial intelligence into business capability through strategy, governance, and training.