30-60-90: the only AI roadmap that matters at $50M revenue
The Big-4 will quote you six figures and three months for a strategy document. At $50M in revenue, you don't need it. You need one painful workflow, one quick win in your first quarter, and a playbook to do the next one cheaper.
I've sat across the table from enough roadmaps to know what works at this size and what doesn't. The roadmaps that work fit on one page and have dates on them. The ones that don't are sixty pages and have phases.
Three principles
- Start with the pain, not the tech. The most common mistake is reading about a model release and working backwards. The pain comes first. The tech follows.
- Prove value in thirty to sixty days. Not in a year. Your CFO needs to see something working before the next budget conversation.
- Build a playbook, not a project. Every solved use case leaves behind patterns — for data, governance, change management, measurement. Those patterns are worth more than the use case.
Days 1–30: pick one and prove the math
Pick the workflow in your business that fits four criteria at once: high volume, rule- or pattern-driven, has structured-or-semi-structured inputs, and has a measurable success metric. Don't pick the most strategic one. Don't pick the most modern-feeling one. Pick the most painful one — the one whose breakage costs you sleep.
In the first thirty days, you don't ship. You instrument. You take the manual workflow as it exists today, measure it end-to-end (cycle time, error rate, throughput, cost per unit), and stand up the smallest possible POC against the same inputs. The output of day thirty is a working slice that produces the same answer the human does, on the same examples, with measurable accuracy.
If you can't get to a working POC in thirty days, the workflow isn't the right first one. Pick a different one.
Days 31–60: production-shaped, narrow scope
The POC becomes a production system: error handling, observability, audit trail, the unglamorous parts. Scope stays narrow on purpose. One workflow, end-to-end, with a real user who depends on it.
Resist every temptation to broaden. Adjacent workflow looks tempting? Note it down. Don't touch it. The discipline of finishing one thing is the entire point of this phase.
Days 61–90: harvest the patterns
By day sixty you have something running. By day ninety you've watched it run, fixed two things you didn't anticipate, and — most importantly — written down what it took. The patterns. How the data flowed. Where the human checkpoints belong. What broke. What you'd do differently.
That document is your playbook. The next workflow you tackle uses the same data pipeline pattern, the same observability harness, the same human-routing logic. The first one took ninety days. The second one takes forty-five. The third takes thirty. The fourth gets boring.
Why this beats orchestrator-first
Some teams hear 'orchestration' and decide to build the platform first, then plug use cases into it. Don't do this. The orchestrator is what the patterns look like after the third use case has shipped — not what you build before the first one.
Build toward the orchestrator. Don't build it as step one.
One last thing
The Big-4 deliverable model is structured around their billing rates. The 30-60-90 model is structured around your business getting better. These are different incentives. Don't confuse them.
Have a workflow that fits the patterns above?
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