AI-Resilient IT Services: Where Value Holds for Operators & Investors

AI is not a death sentence for IT services. Unlike disintermediation risks facing software, AI's impact on IT services is as much an opportunity as a risk. It is redrawing the competitive lines, and the providers that pair software efficiency with service accountability are positioned to succeed.  

IT service delivery models are evolving

What distinguishes leaders in IT services is no longer whether they use AI, but how far along they are in three sequential stages. Each stage redefines how services are sold and delivered. 

Stage 1: AI inside legacy delivery 

In this stage, providers fold copilots and simple agents into existing workflows. The commercial model remains human-centric, billed by the hour or per seat. Investment is light, and use cases are siloed. In 2026, this is table stakes and no longer differentiates. 

Stage 2: Productized delivery and outcome-based commercials 

Here, a smaller cohort transforms delivery itself by rebuilding processes, with AI handling the repeatable work. This takes real investment in both building AI into the delivery engine and implementing change management to industrialize it across teams. Owning a broader slice of the process changes the economics: a provider that owns the outcome end-to-end can price for performance rather than time, moving from time-and-materials models to fixed-fee and outcome-based models. This is where the leaders are now, most visibly in managed services. 

Stage 3: Services as Software (SaS) 

Today, a few providers at the leading edge no longer sell services with software inside; they sell software that performs the service, with humans in governance roles only. Distributed and priced like SaaS, early examples are emerging in observability, application testing, and security operations. 

A widening competitive set, an offensive opportunity 

Competition has shifted from integrator-versus-integrator to human-led versus software-led delivery. Three categories now contest the market:  

• Traditional service providers transitioning to productized models  

• Established software vendors extending native automation into work once delivered by integrators 

• AI-native entrants spanning single-function product vendors and consultancies that deliver through software rather than headcount 

The pressure is not uniform. It follows the structure of the work. Highly repetitive, high-volume managed services are the most exposed, while technology strategy, governance, and risk advisory remain largely insulated, where judgment and accountability stay in human hands. Software-only vendors are constrained in exactly the places good integrators excel: fragmented environments, accountability when things break, and the trust to advise on high-stakes decisions. The opportunity is to build the "best of both" position rather than concede it to either side. 

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What this means for operators and investors 

The questions facing every operator and investor are the same: where does AI erode value, and where does it create defensible value, in that order. For operators, the agenda ranges from automating aggressively and productizing delivery to realigning commercials, driving the cultural shift, and moving up the value stack. For investors, it means judging recurring revenue by the work behind it rather than the label, underwriting the technology roadmap, and pricing the model transition into the thesis rather than current EBITDA.  

How Altman Solon can help 

Altman Solon applies the AI Resilience Diagnostic across the investment lifecycle, both to inform diligence and to translate findings into product, pricing, and growth value-creation priorities. Typical applications include: 

• Integrated commercial and technical diligence anchored in category and company drivers of sustainable differentiation. 

• Pre- and post-deal AI resilience diagnostics that inform product, pricing, and growth value-creation priorities. 

• Operator repositioning playbooks for moving from Stage 1 to Stage 2/3 economics — productizing offers, restructuring commercials, and sequencing AI investment across the portfolio. 

Our AI Resilience Series 

Altman Solon's experts have built the AI Resilience Diagnostic, a proprietary framework applied to AI in IT services, software, cybersecurity, and adjacent technology categories. Discover our series of insights below: 

Investing in AI-Resilient Software: A Moat-First Path to Outsize Returns 

AI-Resilient Cybersecurity Software: A Moat-First Framework for Investors