Most small businesses treat AI adoption like a shopping spree—buying tools without a plan. A new roadmap published on DEV.to by Peter Jackman argues that for companies under 500 people, success depends on a strict, six-phase sequence. The key insight? Week one is about measurement, not software. If you’re skipping the baseline, you’re already behind.

Phase 1: The Unsexy Baseline

The first phase is 'Baseline,' and it is non-negotiable. Before you touch an LLM, you need to know where you are. This means auditing current processes, identifying bottlenecks, and establishing metrics. Most founders want to skip this because it feels like 'admin work,' but without a clear baseline, you cannot prove ROI later. As the article notes, this phase sets the stage for everything else.

Phase 2 & 3: Guardrails and Data Reality

Once you know your baseline, you move to 'Guardrails' and 'Data.' Guardrails are the policy and safety boundaries for AI use—critical for avoiding compliance disasters. Then comes the hard part: Data. The source material explicitly states that 'Data usually takes longest.' You need clean, accessible data to feed any model. If your data is a mess, your AI strategy is a fantasy. This is where most projects die.

Phase 4 & 5: Automation and Redesign

With the foundation set, you can finally deploy 'Conversation Automation' and 'Workflow Redesign.' This is where you start seeing tangible efficiency gains. But note the order: automation comes before redesign. You automate specific tasks first, then use those insights to redesign entire workflows. Doing it backward leads to automating bad processes. The article emphasizes that this sequence prevents wasted engineering hours on tools that don’t fit the actual business logic.

Phase 6: Agentic Operations

The final phase is 'Agentic Operations.' This is the frontier where AI agents autonomously execute complex, multi-step tasks. It’s not just about chatbots; it’s about systems that act. However, the source material warns that this is only possible if you’ve successfully completed the previous five phases. Trying to jump straight to agents without the baseline, guardrails, and clean data is a recipe for hallucination and operational chaos.

Why This Matters for Builders

The roadmap is grounded in reality, citing McKinsey’s 2025 survey which found that only 29% of respondents reported successful AI transformations. For a business under 500 people, resources are scarce. You cannot afford to fail at AI adoption. This phased approach minimizes risk by ensuring that each step builds on a solid foundation. It’s not about the coolest new model; it’s about operational readiness.

Key Takeaways

  • Week one is measurement, not tool procurement.
  • Data preparation is the longest and most critical phase.
  • Agentic operations are the final step, not the first.
  • Only 29% of businesses report successful AI transformations (McKinsey 2025).

The Bottom Line

Stop treating AI like a plug-and-play product. It’s an infrastructure project. If you’re a small business, follow the phases. If you skip the baseline, you’re just guessing.