Insights from a recent DataArt webinar, aligned with Gartner® research, point to a fundamental shift in how organizations evaluate, procure, and scale AI-enabled software delivery.
According to Gartner, many organizations are already realizing productivity gains from AI, but struggle to convert those gains into measurable business value. While delivery is accelerating, commercial models, governance frameworks, and value measurement approaches are not evolving at the same pace.
For a deeper dive into these findings, explore the full Gartner report here.
Executive Summary
AI introduces nonlinear productivity gains, breaking effort-based pricing models
Outcome-based pricing for AI services is emerging as a preferred model for aligning value
Most organizations face a gap between AI adoption and commercial model transformation
AI agents and asset-backed delivery are prerequisites for making outcome-based models viable
Platforms like Artisyn help operationalize how business outcomes are defined, tracked, and delivered
Why AI Forces a Shift from Effort to Outcomes
Traditional delivery models are built on a simple assumption: more effort equals more value.
AI breaks this relationship.
With capabilities such as AI-augmented coding, automated testing, and accelerated solution design, delivery timelines are compressing significantly.
As highlighted during the webinar:
We can deliver things that used to take six weeks in about seven days.
Yuri Gubin
Chief Innovation Officer, DataArt
The clear consequence is a structural disconnect:
Clients invest in AI to increase efficiency
Vendors continue to operate on effort-based models
Faster delivery does not automatically translate into better business outcomes unless value is explicitly defined, measured, and managed.
This aligns with Gartner’s perspective: organizations must evolve not only how they deliver AI, but how they define and govern value across the lifecycle.
How Artisyn Makes Outcome-Based Delivery Operational
While outcome-based models are conceptually appealing, they often fail in practice due to lack of structure.
The key challenge is not defining outcomes—it is maintaining alignment between goals, execution, and results as conditions change.
Artisyn addresses this by structuring delivery around outcomes rather than activities.
It enables teams to:
Define outcomes before solutions, ensuring delivery is tied to business goals rather than tasks
Maintain visibility as goals evolve, preventing business intent from being lost in execution
Detect inconsistencies across goals, problems, and solutions in real time
Context is incredibly important. Goals, problems, solutions, and milestones all define what matters at any given point, and different agents need different context to operate effectively.
Allan Wellenstein
SVP DataArt Solution Advisors
This structured approach is what makes outcome-based delivery viable—not just as a commercial model, but as an operational reality.
In practical terms: Artisyn does not guarantee outcomes; it enables teams to consistently deliver and manage against them.
From AI Capability to Business Value
A key takeaway from both the webinar and Gartner research is that productivity gains alone do not create competitive advantage.
Organizations often experience:
Faster development cycles
Increased engineering productivity
But fail to systematically capture:
Business impact
ROI
Measurable outcomes
To close this gap, organizations must:
Define KPIs tied directly to business objectives
Align delivery with measurable outcomes
Establish shared accountability across stakeholders
As Olesya Khokhoulia noted:
We’re not just discussing outcomes from a technology or domain perspective, we’re establishing a real dialogue about the business outcomes the customer wants to achieve.
Olesya Khokhoulia
VP, Global Enterprise Accounts
Q&A: Key Questions from the Webinar
Can You Provide Examples of Outcomes-Based Projects That DataArt Has Already Delivered?
Allan Wellenstein shared a travel industry example where a client needed to migrate from a third-party online booking platform after it was acquired by a competitor.
The engagement was structured around a clearly defined outcome:
moving approximately 80% of core users to a new proprietary platform
Rather than defining scope upfront, the team:
aligned on goals first
explored the problem space iteratively
kept the solution path flexible
This allowed delivery of a complex MVP on schedule over an 18-month period—while improving the system rather than simply replicating it.
What Are the Quantifiable Results and Impact of Artisyn and Agentic Development?
According to Allan Wellenstein:
delivery timelines are compressing significantly
the traditional bottleneck—the solution space—is collapsing
A key implication:
When the problem is clearly defined, execution can be dramatically accelerated.
This represents a broader shift:
value is no longer constrained by build capacity
it is determined by how effectively the problem is defined
What Contractual and Governance Mechanisms Mitigate Risks in Outcome-Based Models?
Olesya Khokhoulia outlined several critical practices:
defining clear methodologies for measuring outcomes
aligning on systems of record (not separate dashboards)
establishing KPIs tied to business results
creating authorized stakeholder groups responsible for validation
implementing measurement windows and staged acceptance
These elements reduce ambiguity and ensure alignment.
However, a critical point emerged: Even the most structured governance model depends on trust.
Outcome-based delivery requires both rigor and partnership.
Conclusion
AI is not just accelerating delivery—it is redefining how value is created.
However, many organizations are still trying to capture that value using outdated models.
The shift to outcome-based delivery is not only a commercial change, but an operational one. It requires:
structured delivery frameworks
clear outcome definition and measurement
alignment between execution and business value
As highlighted by Gartner, the organizations that will lead are not those adopting AI the fastest, but those that can consistently translate AI-driven productivity into measurable outcomes.
To see how this can be operationalized in practice, explore Artisyn page.
Gartner, AI Vendor Race: How to Evolve Your Pricing Model for AI Services, Danny Ryan, Robert Brown, 13 October 2025. Gartner is a trademark of Gartner, Inc. and/or its affiliates. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Subscribe to Our Newsletter
Subscribe now to get a monthly recap of our biggest news delivered to your inbox!
Please note: While we aim to provide accurate and up-to-date information, AI-generated responses may occasionally be incomplete or incorrect. See Terms of Use.
Related Content
April 23, 2026
AI and the Rise of the Lifelong Learning University
By clicking 'Accept All Cookies', you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. More information
Privacy Preference Center
When you visit any website, it may store or retrieve information on your browser, mostly in the form of cookies. This information might be about you, your preferences or your device and is mostly used to make the site work as you expect it to. Because we respect your right to privacy, you can choose not to allow some types of cookies. More information
Manage Consent Preferences
Strictly Necessary Cookies
Always Active
These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information.
Functional Cookies
These cookies enable the website to provide enhanced functionality and personalisation. They may be set by us or by third party providers whose services we have added to our pages. If you do not allow these cookies then some or all of these services may not function properly.
Targeting Cookies
These cookies may be set through our site by our advertising partners. They may be used by those companies to build a profile of your interests and show you relevant adverts on other sites. They do not store directly personal information, but are based on uniquely identifying your browser and internet device. If you do not allow these cookies, you will experience less targeted advertising.
Performance Cookies
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. All information these cookies collect is aggregated and therefore anonymous. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
