Automation technology buying failures rarely happen because an organization selects the wrong hardware or software platform. They occur much earlier — when companies begin the RFP process without clear strategic alignment, defined operational goals or a shared vision for how automation should transform their operations.
Today’s industrial environments are experiencing unprecedented change. Robotics, AI-driven control systems, digital twins and integrated automation platforms are evolving rapidly. Vendors promise end-to-end visibility, predictive decision-making and autonomous operations, often creating pressure for organizations to move quickly in order to remain competitive.
Most automation buyers, however, only experience a limited range of operating models during their careers — often within the same facility, industry or automation maturity level. While they understand their own environments deeply, they may have limited visibility into what best-in-class automation strategies look like across industries or operational contexts.
As a result, many organizations treat the request for proposal (RFP) as a starting point rather than the culmination of strategic planning. They focus heavily on current operational pain points and technical specifications, which can lead to predictable and costly mistakes.
Below are ten common ways automation technology buyers get it wrong before the RFP even begins — and how a strategy-first approach produces stronger results.
1. Starting with a system instead of a business outcome
Many automation initiatives begin with a predetermined conclusion: “We need robotics,” “We need an AI-driven control platform” or “We need a new automation architecture.”
When technology is treated as the objective, requirements focus on features rather than outcomes. Organizations spend time defining technical capabilities instead of clarifying what they truly need to achieve — higher throughput, reduced downtime, improved safety or more flexible production capabilities.
A strategy-first approach begins with operational goals and works backward, ensuring automation investments directly support business priorities.
2. Treating today’s pain as the real problem
Automation discussions often focus on visible issues such as labor shortages, production bottlenecks,or manual processes. While these challenges are real, they are frequently symptoms of deeper issues such as poorly designed workflows, unclear decision ownership or outdated operating models.
Implementing automation without addressing these underlying problems often leads to systems that replicate inefficiencies at greater speed and scale.
3. Assuming technology will fix broken processes
Automation does not fix flawed processes — it accelerates them. Automating inefficient workflows increases the speed at which those inefficiencies occur. Organizations may gain enhanced visibility through dashboards and analytics, but they remain locked into ineffective operational models. Redesigning workflows first ensures automation amplifies effective processes rather than flawed ones.
4. Skipping the target operating model
Many organizations struggle to define how they want operations to function in the future as automation becomes more sophisticated.
Without a clear target operating model, automation requirements often combine legacy practices with aspirational goals. Vendors are asked to support conflicting priorities such as human oversight versus autonomous decision-making. Defining future roles, decision rights and escalation processes provides essential clarity for automation investments.
5. Letting one function drive the RFP
Automation initiatives are often led by a single function—engineering, IT, operations or maintenance. While each group plays a critical role, optimizing from a single perspective frequently creates unintended consequences elsewhere, such as improved local performance but reduced coordination across systems. Cross-functional alignment ensures automation solutions support enterprise-wide performance.
6. Overloading Feature Lists Instead of Decision Support
Automation RFPs frequently include extensive technical specifications and feature lists. However, these do little to improve decision quality. Organizations may select platforms capable of numerous functions but unable to meaningfully improve operational decision-making, responsiveness or adaptability. Evaluating automation solutions based on their ability to support better decisions produces stronger outcomes.
7. Ignoring change management until after selection
Change management is often treated as an implementation issue rather than a strategic input. Advanced automation systems frequently require new workforce skills, revised workflows and changes to organizational culture. Without adequate preparation, adoption may stall and expected benefits may not be realized. Aligning automation ambitions with organizational readiness significantly improves success rates.
8. Assuming data is 'good enough'
Automation systems rely heavily on accurate and consistent data from sensors, control systems and operational processes. When data quality is poor or governance is weak, even advanced automation technologies struggle to deliver reliable performance. Assessing data maturity early helps organizations plan necessary improvements before implementation.
9. Treating the RFP as a documentation exercise
RFPs often become static documentation exercises rather than strategic decision tools. When organizations focus on collecting information rather than testing assumptions and clarifying priorities, they miss opportunities to strengthen their automation strategies. Using the RFP process to challenge thinking and surface tradeoffs leads to better decisions.
10. Rushing to 'show progress'
Pressure to demonstrate progress can lead organizations to issue RFPs before strategic alignment exists. While this may create short-term momentum, shortcuts taken early frequently result in delays, rework and missed performance expectations later. Investing time in strategic planning ultimately accelerates automation success.
The bottom line
Most automation technology failures are not the result of poor vendor selection. They stem from organizations being unprepared to make strategic automation decisions in an increasingly complex and rapidly evolving environment. A strategy-first approach ensures automation investments support long-term operational goals, improve performance and deliver sustainable value.
