Skip to content
Advisory

ISG Autonomy-Level Pricing™

Pricing that reflects how AI-enabled services are actually delivered.
REQUEST AN ASSESSMENT
Sourching

AI is changing how work gets done. Pricing has not kept up.

Traditional models still assume human execution, static delivery and fixed commercial units. As AI agents move from assisting people to executing work end-to-end, the gap between delivery reality and contract economics widens.

That gap is expensive on both sides. Enterprises overpay for work that is increasingly automated. Providers go undercompensated for higher-maturity AI-enabled delivery. Sourcing teams lack the transparency to connect price, performance, risk and governance.

ISG Autonomy-Level Pricing™ aligns commercial models with execution maturity, risk ownership and embedded governance.
CONTACT US
Background image

The Pricing Gap

Traditional pricing models were not designed for autonomous execution.

As AI takes on enterprise service delivery, conventional pricing breaks down. Most models cannot answer the questions that now decide commercial value:

  • What level of autonomy was used?

  • Who owned the risk?

  • What governance controls were in place?

  • How should price change as automation and maturity advance?

Without structured answers, price stays disconnected from how work is delivered.

As AI-enabled delivery scales, four pressure points are emerging.

EXECUTION BLINDNESS

Resource units such as per ticket, per invoice, per VM or per user measure volume. They do not capture whether the work was done by a human, an AI-assisted process or an autonomous agent.

CONTRACT RIGIDITY

Static models require constant renegotiation as scope, delivery and autonomy change. This slows transformation and creates friction between buyers and providers.

 

RISK MISALIGNMENT

Autonomous execution changes accountability. When AI performs the work and a human verifies it, risk sits differently than when an agent executes end-to-end with escalation fallback.

GOVERNANCE EXPOSURE

AI-enabled services demand traceability, documented controls and transparency. Pricing models that ignore governance create compliance gaps.

A Commercial Framework for AI-Enabled Services

Autonomy-Level Pricing links price to how work is performed.

Autonomy-Level Pricing aligns contract value with the autonomy used to deliver a service, factoring in human oversight, SLA ownership, execution complexity and embedded governance controls.

It does not replace familiar enterprise pricing structures. It enhances them. Resource units remain the foundation. Autonomy-Level Pricing adds an intelligence layer that makes each unit more transparent, auditable and commercially relevant.

The Five Levels of Autonomy-Level Pricing

AL0

Fully Manual Execution

Work is performed entirely by humans with no AI involvement. AL0 remains appropriate for high-risk, high-sensitivity environments such as finance, healthcare, legal and regulatory domains where full human control is required.

AL1

AI Suggests, Human Executes

AI assists with recommendations, analysis or data preparation. A human makes the final decision and performs the action. This is the typical copilot model.

AL2

AI Executes, Human Verifies

AI performs the work. A human reviews, validates and approves before completion. AL2 introduces partial autonomy.

AL3

AI Executes, Human Audits Exceptions

AI performs work independently. Humans audit periodically or by exception. Governance shifts from direct oversight to policy, performance management and exception control.

AL4

Fully Autonomous Execution with Escalation Fallback

AI executes end-to-end and escalates only when policy thresholds are breached. Pricing can evolve toward token-based models, agent subscriptions, or outcome bundles.

From static units to intelligent pricing signals

A traditional resource unit tells you what was delivered. An Autonomous-level Pricing-enhanced unit tells you how it was delivered, who owned the risk and what controls were in place.
TALK TO AN ISG ADVISOR
Background image
Sourching

How ISG helps

ISG helps enterprises design and operationalize pricing models built for AI-enabled service delivery. We bring depth in benchmarking, sourcing, provider ecosystems, contract design, governance and AI advisory.

Pricing Framework Design
Conventional models price volume, not autonomy. A model matched to your service portfolio and provider landscape that closes the gap, with autonomy levels defined, resource units mapped and value tracking built in.

Contract and SLA Integration
A pricing model changes nothing until it reaches the contract. Built into your service levels and performance terms, it makes price reflect execution maturity, oversight, risk ownership and accountability.

Intelligent Pricing Operations
Price set once falls behind as autonomy advances. A repeatable operating model keeps it current across sourcing, supplier governance and performance management.

Most firms will model AI's impact on cost

ISG’s Autonomy-Level Pricing links price to execution maturity, risk and governance. We bring <<data point like volume of AI spend tracked through Index, or data points surveyed  to every pricing decision, so the model reflects what work actually costs as autonomy advances.
GET STARTED

Meet Our Team

Steve Hall

Steve Hall

Chief AI Officer

Steve Hall

Steve Hall

Steve Hall is Chief AI Officer, leading the firm’s work to help clients create an AI strategy, select the right business partners and deliver meaningful value and outcomes. His industry-leading expertise in navigating the complexities of adopting technology at scale is helping both clients and ISG leverage AI to drive value into every aspect of their operations. Steve joined ISG in 2005 and has led ISG Digital Advisory Services, Emerging Technology Services, Global Product Engineering and Application Development & Maintenance. Trained as a software engineer, he serves on the Advisory Board of Consortium for Information & Software Quality (CISQ). He holds a bachelor’s degree in computer science from Regis University.

View Profile

Frequently Asked Questions

What is Autonomy-Level Pricing?

Autonomy-Level Pricing is a commercial framework that aligns pricing with the level of autonomy used to deliver a service. It factors in human oversight, AI execution, SLA ownership, risk and governance controls across five levels, from fully manual execution to fully autonomous execution with escalation fallback.

Why do traditional pricing models fail under AI-enabled delivery?

Traditional models measure volume, usage or outcomes. They rarely capture how work is executed, who owns the risk or what controls are in place. As AI agents take on more delivery, this creates pricing gaps, contract friction and accountability issues.

Does Autonomy-Level Pricing replace resource-unit pricing?

No. Autonomy-Level Pricing enhances it. Familiar units such as per ticket, per invoice, per VM or per user remain in place, with each tagged for autonomy-level context. That makes the unit more transparent, auditable and aligned to execution maturity.

How does Autonomy-Level Pricing support AI governance?

Autonomy-Level Pricing embeds autonomy and governance controls into the pricing model. It helps enterprises document where AI is used, how much human oversight is required, who owns accountability and how AI-enabled delivery aligns with risk and compliance expectations.

Who benefits from Autonomy-Level Pricing?

Buyers gain transparency and better risk alignment. Providers gain recognition for higher-maturity delivery. Sourcing, finance, legal and operations teams gain a shared model connecting price, performance, governance and value.

When should an enterprise use Autonomy-Level Pricing?

When AI is materially changing how services are delivered, especially in outsourced services, managed services, business process operations, technology operations or agentic AI workflows. It is most valuable when pricing, SLAs and accountability need to evolve with automation maturity.
Decorative color bar

Do you have a question, comment or suggestion?

Contact Us