Gartner® Report: How to Evolve Your Pricing Model for AI Services

Driven by shifting client expectations and AI disruption, the IT Services industry is changing fast, with billable hours being replaced by outcomes as the core driver of pricing.

Gartner^® “AI Vendor Race: How to Evolve Your Pricing Model for AI Services” report recognizes DataArt as a case in point in this evolution, referencing our AI-enabled delivery assets, industry expertise, and outcome-based pricing as ways we’re contributing to this market shift.

5 Pillars of Our Data & AI Strategy Recognized by Gartner®

We believe the Gartner® report reinforces several pillars of DataArt’s long-term strategy – pillars we have already begun scaling across our global organization.

Industry-Specific Expertise

From our point of view, this Gartner® research reinforces that AI can have the biggest impact when applied to specific industry use cases with well understood business outcomes.
DataArt’s commitment: Building deep domain expertise by developing specialized practices in verticals such as finance, healthcare, retail, media, and travel.

Outcome-Aligned, Transparent Pricing

The report explores how pricing models must adapt to reflect accelerated delivery and higher value expectations from clients connected to results, such as cost savings, revenue growth, or risk reduction.
DataArt’s commitment: Expanding outcomes‑based pricing and co‑innovation models that align incentives and accelerate ROI.

Asset-Backed AI Service Delivery

Gartner® stresses that the integration of AI agents and reusable assets into service delivery marks a transformative shift in how services are designed, delivered, and priced.
DataArt’s commitment: Delivering high-quality software solutions faster with Artisyn, our AI-enabled service delivery platform that integrates reusable AI components and agents.

Governed AI Adoption & Compliance

Gartner® notes how new delivery models offer flexibility, transparency, and alignment with client goals. However, they also require robust governance, clear metrics, and trust between parties, particularly regarding the use and impact of AI adoption.
DataArt’s commitment: Governing the compliant orchestration of AI accelerators and agents, auditability, and centralized control, helping enterprises manage the complexity of AI adoption.

Continuous Innovation & Investment

The report explores how service providers must assume the position of innovation partners with their clients, co-investing in data, AI, and other capabilities for transforming businesses.
DataArt’s commitment: Committing $100M over three years to advance our data & AI capabilities and help clients innovate over the next decade of digital transformation.

Download the Report

Get a complimentary copy of the Gartner® report for the full story on how AI Services pricing is evolving and why DataArt was mentioned as a case in point.

Gartner, AI Vendor Race: How to Evolve Your Pricing Model for AI Services, Danny Ryan, Robert Brown, 13 October 2025.

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