Creatio has launched Unlimited Enterprise, an AI-native operating model and pricing plan that eliminates per-user, per-agent, and per-workflow limits, aiming to redefine how organizations scale automation and digital transformation [1]. This move directly challenges the legacy economics of enterprise software, placing pressure on established vendors to rethink their own licensing and platform strategies. As organizations prioritize flexibility and AI-driven workflows, the question is whether execution-based pricing will become the new enterprise standard.
What is Covered in This Article:
- Creatio’s Unlimited Enterprise model and its challenge to legacy per-user licensing
- The rise of execution-based pricing and AI-native platform design
- What all-in pricing means for SaaS vendors navigating AI economics
- Strategic implications for CRM and workflow automation leaders
- Risks and opportunities for enterprises working through platform consolidation
The News: Creatio has introduced Unlimited Enterprise, a new AI-native platform and pricing model that removes traditional licensing barriers tied to user counts, agent seats, or workflow limits [1]. The model is built on five pillars: integrated human and AI agent collaboration, agentic and human-led workflows, industry-specific CRM with AI, a unified no-code platform, and a focus on customer success. The Unlimited pricing plan offers organizations unrestricted access to all platform features, including unlimited users, custom agents, applications, workflows, and API calls, positioning Creatio to appeal to midsize and large enterprises seeking to consolidate fragmented systems and scale automation rapidly. This strategic pivot signals a direct challenge to conventional enterprise software models, where pricing is still typically anchored to access rather than execution.
Creatio’s Unlimited Enterprise Goes All-In On Unlimited Pricing
Analyst Take: Creatio’s Unlimited Enterprise is banking on enterprises’ desire to orchestrate outcomes at scale. As AI agents proliferate and organizations demand more flexibility, the old per-user economics look increasingly out of step with enterprise priorities. The strategic risk for incumbents is that execution-based models will force a reckoning on value, not just access.
Why Execution-Based Pricing Is a Direct Threat to Legacy Vendors
Unlimited Enterprise’s elimination of per-user and per-agent limits is a direct challenge to established CRM and workflow automation vendors such as Salesforce, Microsoft, and ServiceNow. These incumbents have historically relied on seat-based pricing, which becomes structurally misaligned as enterprises deploy AI agents alongside human workers. According to Futurum Group’s 1H 2026 Enterprise Software Decision Maker Survey (n=830), 30% of buyers now prefer consumption-based pricing, while outcome-based and per-user-per-month models follow at 21.7% and 20.1% respectively [2]. This signals a real shift in buyer expectations, with pricing model now cited by 52.2% of buyers as a key purchase decision criterion [2]. Notably, agentic AI capabilities are now cited by 51.6% of buyers as a decision criterion—tied with support—underscoring that pricing and agent-readiness are now inseparable in the enterprise buying calculus [2]. Vendors clinging to legacy access-based models risk losing relevance as enterprises seek to scale AI-driven execution without artificial gating (Futurum Research in ‘As Enterprises Demand AI ROI Proof, Are Value-Linked Approaches Gaining Steam?,’ March 2026) [3].
What All-In Pricing Means for SaaS Vendors
Creatio’s move to all-inclusive, unlimited pricing represents a fundamental bet that the SaaS industry’s dominant monetization model is reaching its expiration date. As AI becomes a must-have and must-use feature, SaaS vendors are taking a wide variety of approaches to pricing AI features, including built-in pricing, seat-license approaches, consumption models, outcome-based offerings, and hybrid models. However, the data shows buyers are increasingly hostile to per-user AI add-ons: according to Futurum Group’s 1H 2026 Enterprise Software Decision Maker Survey, only 18.9% of buyers prefer per-user-per-month pricing for GenAI functionality when it is not included in the core offering, while 42.9% prefer consumption-based and 26.8% prefer outcome-based models [2].
Critically, 11.4% of buyers want to renegotiate their contracts to include AI as part of the core offering, essentially demanding all-in pricing [2]. Meanwhile, 26.1% of buyers report their current vendor already delivers GenAI as part of the core offering, indicating that the market is already moving toward inclusive models [2].
For SaaS vendors, the implication is clear: agentic AI, which is becoming more autonomous and untethered from direct human processes or roles, is a key factor in the shift away from traditional seat-license-based pricing. Vendors that continue to layer per-agent or per-workflow fees on top of existing seat costs face a double risk: buyer pushback on pricing complexity and competitive pressure from all-in models such as Creatio’s. As Futurum has noted, pricing is likely to continue to evolve as technology advances and customer expectations change, with the shifting cost of AI compute and greater investor demand to see revenue tied directly to AI services adding further pressure.
AI-Native Platform Design Is Becoming Table Stakes
Creatio’s approach—unifying human and agentic workflows, no-code automation, and industry-specific CRM—reflects a broader trend: buyers now expect platforms to deliver integrated, AI-native capabilities out of the box. According to Futurum Group’s 1H 2026 Enterprise Software Decision Maker Survey (n=830), 79.3% of organizations now follow a platform-first approach (65.9% mostly platform with point solutions to fill gaps, 13.4% all-platform), with only 20.7% pursuing a best-of-breed strategy [2]. Among those consolidating their application stacks (41% of respondents), 55.3% are replacing applications with a suite or platform rather than a single point solution, with cost reduction (18.9%), workflow improvement (15.0%), and IT complexity reduction (15.0%) as the top drivers [2].
The implication is clear: enterprises want fewer vendors, deeper integrations, and native support for both AI and human collaboration. As embedded, pre-built, verticalized AI delivers the fastest and most predictable ROI, horizontal platforms that fail to verticalize or support agentic orchestration will struggle to meet enterprise demands (Futurum Research in ‘Should SaaS Vendors Prioritize AI for Vertical or Horizontal Use Cases?’, February 2026).
Execution Risks and the Platform Consolidation Paradox
While Unlimited Enterprise promises operational freedom, execution risks remain. Unrestricted access can lead to governance, security, and cost management challenges if organizations lack mature controls over both human and AI agents. As enterprises consolidate around platform-first vendors, they may trade flexibility for lock-in, especially if execution-based pricing models are not accompanied by transparent usage metrics and strong policy enforcement. The paradox: the more freedom a platform offers, the more critical it becomes to deliver granular governance and cross-system observability. The market is seeing the emergence of multi-step, governed agentic workflows, with SaaS vendors moving beyond isolated AI actions toward orchestrated systems that plan, act, verify, and adapt within core workflows, particularly in high-impact areas such as service escalation, case triage, approvals, and customer journeys. The winners will be those who balance unlimited execution with the controls large enterprises require.
What to Watch:
- Will Salesforce, Microsoft, or ServiceNow respond with their own execution-based or all-inclusive pricing by 2027?
- Do enterprises adopting Unlimited Enterprise actually achieve measurable ROI, or do hidden costs emerge?
- Will agentic AI adoption accelerate platform consolidation, or will integration complexity slow deployments?
- Can Creatio sustain differentiation as larger vendors retrofit AI-native, unlimited models?
- Will buyer demand for all-in AI pricing force a broader renegotiation wave across existing SaaS contracts?
Read the complete announcement on Creatio’s website.
Sources
1. Creatio Introduces Unlimited Enterprise for the AI Era
2. Microsoft Ignite 2026
3. Microsoft launches MXC, an OS-level sandbox for AI agents, with OpenAI and Nvidia already on board
Declaration of generative AI and AI-assisted technologies in the writing process: This content has been generated with the support of artificial intelligence technologies. Due to the fast pace of content creation and the continuous evolution of data and information, The Futurum Group and its analysts strive to ensure the accuracy and factual integrity of the information presented. However, the opinions and interpretations expressed in this content reflect those of the individual author/analyst. The Futurum Group makes no guarantees regarding the completeness, accuracy, or reliability of any information contained herein. Readers are encouraged to verify facts independently and consult relevant sources for further clarification.
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Read the full Futurum Group Disclosure.
Other Insights From Futurum
Sales, Marketing and Service Platforms – Futurum Signal
Author Information
Keith Kirkpatrick is VP & Research Director, Enterprise Software & Digital Workflows for The Futurum Group. Keith has over 25 years of experience in research, marketing, and consulting-based fields.
He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.
In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.
He is a member of the Association of Independent Information Professionals (AIIP).
Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.
