Agentic AI: From discovery to deployment

Artificial Intelligence (“AI”) and its agentic capabilities places organisational transformation as a key strategic consideration for organisations across all sectors.

KPMG’s Global AI Quarterly Pulse Survey Q2 2026 found that approximately 7 percent of organisations surveyed are experiencing established Return on Investment with organisations planning to invest an average of $188 million over the next year on AI investments.

Organisations are reimagining the art of what is possible and are facing fears of being left behind or missing out on opportunities to expand revenue streams and enhance efficiencies.

Where to begin

The biggest challenges facing AI strategy being risk management, quality of organisational data, lack of measurable Return on Investment (“ROI”), employee adoption, and integration with other emerging technologies. This poses the question to all organisations: Where to begin and how to align?

KPMG provide a tailored approach to your organisation’s needs on how to structure and approach envisioning a future where agentic AI is embedded across workflows, redefining every layer of your organisation and unlocking new sources of value.

Leading players in the technology sector, are rapidly preparing and engaging in a world in which they serve as the primary gateway for discovering, deploying, governing, and monetising AI agents. The key players in the technology sector are offering extensive libraries of AI agents across their marketplaces.

As dominant leaders carve out their slice of the pie, discovery mechanisms, interaction experience, level of integration effort, security and compliance, scalability and strategic partnerships with vendors are key considerations at play. Immersed in age of high-profile legal cases spanning across regions and regulations where the competitive and regulatory landscape continues to shift at pace, organisations implementing agentic AI cannot afford to get this wrong.

Scaling to achieve value

There is an expanding gap between deployment and scaling of AI and creating tangible organisational value. Organisations successfully scaling AI now will be dependent on the effectiveness of aligning agentic AI strategies, governance embedded across operations and their effective ability to evaluate for trust and performance.

Designing such an agentic AI strategy requires meticulous alignment of strategic ambition, operating model design, technology integration, and regulatory readiness.

The ultimate goal is to create a frictionless agentic AI journey from discovery to deployment embedding trust, governance and scalability at every juncture. Organisations that act now will shape the standards and value flows of this evolving ecosystem, while slower movers risk falling behind as the market matures.

KPMG can support your organisation in translating your strategic ambition into a structured, scalable operating model. The KPMG Framework outlined in the next section can be leveraged to structure your organisation’s thinking and approach throughout the design, development and implementation of your agentic AI strategy, from defining your ambition to shaping business and operating models.

This can support your organisations in determining what good looks like and the consequences of getting your agentic AI strategy wrong.

Agentic AI has the capability to amplify success but the same stands for failure in the event of poor design and/or implementation of an agentic AI strategy.

Getting this wrong can impact every tier of the organisation and can give rise to loss of control, loss of trust, regulatory implications, disruption to business activities, litigation exposure and competitive disadvantage which can generate a loss on returns, diminish market share and erode organisational credibility.

This outlines the key considerations for successfully unlocking value from an Agentic AI strategy, including the introduction of KPMG’s Target Operating Model (‘TOM’), which defines how an organisation structures its people, processes and technology to deliver its strategy effectively.

What to achieve?

A clearly defined long‑term agentic AI strategy
2. Where to play?

A defensible market position
How to win?
- A clearly defined Agentic AI TOM
- Regulatory compliance embedded end‑to‑end
- Stringent governance, risk and controls
- Capability for scaling and responding at pace
- Building and maintaining consumer trust
- Strong and trusted strategic partnerships
- Smooth user experience and seamless integration capabilities

What have leading organisations done?

Defined ambition

A clearly defined long‑term strategic ambition for their agentic AI strategy and an understanding of how that ambition translates into financial objectives.
Clarified viability

A clear view of the total revenue opportunity and the market share required to make the strategy viable.
Identified consumer need

Identified what consumers value, how those expectations will evolve, and how agentic AI can be leveraged to support long‑term value creation.
Understood agentic AI

A clearly defined concept of agentic AI to bring their strategic ambition to life
Defined trends

Identified and defined the key drivers and trends shaping adoption, with a clear response strategy.

Agentic AI strategy readiness checklist

Competitor analysis

Have you completed a competitor analysis? Have you set out how your organisation will differentiate itself?
Requirements gathering

Have you considered and defined end‑to‑end technical and organisational requirements for the agentic AI strategy?
Monetisation

Have you considered and defined the monetisation strategy that your organisation can adopt to win in the market?
Current vs future state

Have you set out your current versus future state across every layer of the organisation to successfully launch an agentic AI strategy.
Regulatory

Have you considered the jurisdictional regulatory requirements for designing, developing and deploying an agentic AI strategy?
Talent

Do you have the necessary in‑house skills, capabilities and expertise dedicated to designing, developing and deploying your agentic AI strategy?
Resources

Do you have dedicated resources, defined roles and responsibilities, and governance structures in place for launching an agentic AI strategy?

How KPMG can help

As organisations accelerate their adoption of agentic AI and explore designing, developing and implementing agentic AI strategy, they face a common set of challenges, from defining strategic ambition to navigating regulatory complexity, designing scalable, measurable, operating models, and maintaining global consistency.

KPMG supports leadership teams to translate strategic ambition into practical, scalable operating realities that can support your organisation in envisaging a sustainable, trusted and competitive agentic AI strategy.

Strategy

Agentic AI strategy

KPMG’s Consulting practice advises organisations in designing, developing and implementing strategy supporting you in defining a clear long‑term ambition for your agentic AI strategy.
Agentic AI key competitor assessment

KPMG can provide a structured assessment of key competitors, analysing AI‑driven or agent‑based solutions.
Agentic AI strawman

KPMG offers a structured strawman to support your organisation in drafting a preliminary proposed approach to designing, developing and implementing an agentic AI strategy to stimulate discussion and brainstorming amongst key stakeholders.

Execution

Agentic AI Target Operating Model (“TOM”)

KPMG can support your organisation in designing a Target Operating Model (“TOM”) translating your strategic ambition into a scalable, measurable operating model.
Framework design and implementation

Our team supports organisations in designing and refreshing governance, risk and internal control frameworks to establish robust procedures for agentic AI.

Regulation

Agentic AI regulatory readiness assessment

KPMG supports organisations in completing regulatory readiness assessments, assessing the organisation’s current position versus future regulatory compliance position, identifying gaps and prioritising actions aligned to organisational objectives.
Agentic AI global regulatory playbook

KPMG works with organisations to design global regulatory playbooks for assessing the regulatory impact for organisation’s agentic AI strategy.