Scaling Intelligent Automation: The Importance of Financial Discipline
Greg Holmes, the Field Technical Director for EMEA at Apptio, an IBM company, emphasizes that to achieve successful scaling of intelligent automation, organizations must exercise financial discipline. The common assumption that technology will be effortlessly adopted once developed often leads to budget shortfalls, particularly in automation initiatives.
From Pilot Programs to Sustainable Deployment
Many executives discover that while pilot programs seem successful, they fail to evolve into sustainable, enterprise-wide implementations. According to Holmes, this often occurs when financial modeling overlooks the complexities and costs associated with scaling up production.
Transforming Cost Management with FinOps
Holmes advocates for integrating FinOps capabilities with automation to shift from reactive cost management to a proactive approach focused on value engineering. This transformation allows engineering teams to monitor key metrics—such as cost per transaction and API call—right from the outset, offering real-time insights into resource consumption.
The Economic Realities of Innovation Projects
Holmes points out that innovation projects encounter a high failure rate, with around 80% of new initiatives not achieving their intended results. Often, this stems from a lack of transparency in financial accountability during the pilot phase. When evaluating success based on initial time savings, organizations might overlook the realities that arise when transitioning from pilot to production environments, revealing hidden costs.
Understanding Unit Economics
Organizations aiming to scale intelligently must track unit economics effectively. Monitoring metrics such as cost per customer or cost per transaction allows businesses to identify flaws in their models. For instance, in the case of Liberty Mutual, integrating consumer metrics led to significant savings by shifting focus beyond labor hours alone.
The Importance of Governance in Development Tools
Holmes insists that governance shouldn’t rest solely with financial departments. Instead, embedding governance within development tools empowers developers to manage costs proactively. Utilizing infrastructure-as-code tools, like HashiCorp Terraform and GitHub, enables teams to implement policies during deployment while providing immediate cost estimates.
Addressing Legacy Systems Wisely
For enterprises grappling with legacy ERP systems, Holmes warns against simply automating inefficient processes. A Total Cost of Ownership (TCO) analysis helps identify whether to automate as a fix or bridge to modernization, incorporating factors like infrastructure and ongoing maintenance into cost assessments.
Strategic Budgeting for Future Growth
To avoid financial surprises, organizations should adopt a budgeting strategy that aligns variable costs with long-term commitments. While variable costs offer flexibility, they can also lead to unpredictable fluctuations. Holmes advocates for a long-term perspective, suggesting that such commitments can enhance negotiation power and streamline infrastructure decisions.
By combining diligent variable cost management with strategic investment planning, companies can successfully scale intelligent automation, minimizing the risks that often hinder transformation efforts.
Join us at the upcoming Global Conference on Intelligent Automation in London on February 4-5, 2026, where Greg Holmes and other experts will share valuable insights. Don’t miss the session on “Scaling Intelligent Automation Successfully: Frameworks, Risks, and Real-World Lessons”.