Automation & AI as a Service: Startups that combine AI + service are emerging. For instance, ProsperOps automatically manages AWS commitments. Another example is Cast AI which automatically scales down Kubernetes clusters to save costs. These automated services act as substitutes particularly for operational cost tuning in the cloud. Additionally, AI might one day handle negotiation support e.g. analyzing contracts and suggesting optimal terms. While this is early, we see glimpses: some software can parse contracts to find cost-related risks, potentially reducing reliance on human experts for initial analysis. In-House Cost Optimizer Roles: Many organizations are creating internal roles like IT Financial Management Officer or FinOps Analyst . If companies build significant internal teams for continuous cost optimization, they may only call consultants for very specific tasks or peak needs (like a one-time Oracle audit defense). For example, FinOps Foundations growth (thousands of members) suggests companies are investing in training their staff on cloud cost management. If an internal FinOps team plus a tool can achieve savings, they become an indirect competitor to external services. Similarly, CFO offices are paying more attention to tech ROI, sometimes bringing cost scrutiny in-house. A survey indicated 87% of IT decision-makers said their focus on cost optimization increased and many are trying to avoid layoffs by cutting tech waste instead . This trend could mean the expertise is more commonly found internally over time (particularly at cost- savvy companies or those whose main expense is IT, like SaaS companies). Managed Service Providers (MSPs) and Outsourcers offering cost guarantees: Some traditional IT outsourcers or cloud MSPs now differentiate by promising cost savings as part of their service. For example, a cloud MSP might say we manage your AWS environment and guarantee 15% savings through optimization. This bundling means the client doesnt separately hire a cost consultant its embedded in the operations contract. Similarly, telecom expense management firms historically handle telecom cost optimization as a managed service; some are expanding into cloud/SaaS. Indirect competition: If clients choose an MSP that includes cost optimization, standalone consulting projects might not arise. Consulting Adjacent Services (Procurement BPO, GPOs): We touched on GPOs (Group Purchasing Organizations) being an opportunity for RTC, but if others establish them first, they become competition. For example, a private equity firm might partner with a procurement outsourcing firm to run a group negotiation with Microsoft for all its portfolio companies. That would reduce each companys need to engage separate consultants like RTC because they get savings via collective bargaining. There are startups trying this collective approach (one example: Vendr for SaaS buying offering to handle all a companys SaaS purchases for a cut of savings). PE firms themselves sometimes act as cost optimizers for their portfolio they might hire an in-house IT cost advisor at the fund level who then competes with external consultants to deliver savings across portfolio companies. Freelance Networks and Communities: Platforms like GLG or expert networks sometimes match companies with ex-vendor experts for advice. A company could, say, pay for a few hours of an ex- Microsoft licensing experts time via a network instead of a full consulting project. This is not as comprehensive as a consulting engagement, but for highly targeted questions, its a cheaper indirect substitute. Additionally, community forums or peer groups (CIO forums, FinOps Foundation Slack channels) allow sharing of tips to cut costs effectively crowdsourcing advice that might otherwise come from a paid consultant. 27 26