Automation Experience Uplift
Grow agents across a company by lifting existing automated work up to agent-level operation, instead of building new agent systems from zero.
Description
Grow AI agents across a company by adding agent reasoning to work that is already automated, instead of building brand-new agents from scratch. Mature automation already holds the company's know-how, its exception handling, and its links to other systems. That kind of fixed-rule automation, which always does the same thing for the same input, is called Level 2. Adding agent reasoning on top turns it into a Level 3 system. Doing it this way is faster and safer than starting fresh. The idea is to treat the automation you already run as a strong starting point, not as old code to throw away.
When to apply
Use this when a company already runs real Level-2 automation, such as RPA bots, BPM workflows, or scripted pipelines, and is now investing in agents. The goal is broad agent coverage across the company, not one deep flagship agent. Don't apply it when the existing automation is poorly understood, undocumented, or itself broken. Lifting a broken process up only gives you a broken process with an agent on top. One exception: a single high-value new agent, such as a fresh customer experience, can justify its own ground-up build.
What it involves
- Inventory existing Level-2 automation
- Identify candidates with high agentic leverage
- Layer agentic reasoning onto the existing process
- Validate uplift against process-level metrics
- Scale across the portfolio
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