How long should an AI automation build actually take?

What do published timelines actually look like?

Search for how long an AI agent or AI automation build takes, and a small set of vendor pages exist specifically to answer it. Two we found: bananalabs.io quotes 8-16 weeks for a mid-complexity build, and viston.tech publishes both a 6-16 week range to reach something it calls production-ready and a narrower 3-5 months for a single bounded use case.

Worth being direct about what that evidence is and isn’t. It’s real published supply-side content, and it lines up with a real search pattern people type. It is not a documented account of a buyer who actually lived through one of those timelines and reported back. Treat the range as what vendors are willing to promise in writing on their own website, not as a verified norm.

Why does the range vary so much?

Two words are doing most of the work in those competitor pages, and neither one is standardized: “complexity” and “production-ready.”

A “production-ready” system in one page’s 6-week estimate might mean a single workflow with a clear trigger and a clear ending. In another page’s 5-month estimate, it might mean a system spanning several departments with data cleanup, custom integrations, and a phased rollout. Both are honestly labeled production-ready. They are not the same size of job.

That’s the same pattern this site’s cost guide found in pricing: the number moves less because of the AI itself and more because of how many workflows are in scope, how many systems they touch, and how clean the underlying data is before anyone starts building.

What does a longer-than-quoted timeline actually signal?

Not automatically a bad vendor. Some builds genuinely take longer, because the scope genuinely is bigger. The signal worth watching for isn’t length, it’s drift: a project that runs past the number it was quoted at.

A buyer thread on r/ITManagers, cited more fully in this site’s quote-evaluation guide, described exactly that: a project that took 14 months against an 8-month quote. The problem in that account wasn’t that 8 months was too optimistic in the abstract. It’s that nothing in the arrangement made the vendor carry the cost of running long, so the overrun landed entirely on the buyer.

That’s the actual question worth asking about any quoted timeline: not “is this number reasonable,” but “what happens to the number if it’s wrong.”

How long does SimplyCubed take?

Published, so it can be checked against whatever else you’re holding:

• Week 1: Discovery. The highest-ROI bottleneck gets identified, workflows get mapped across the relevant teams, and success metrics get defined together, in writing.
• Weeks 2-3: Build. One to three agents get built and trained on your data, integrated into the tools you already run, with guardrails and human-in-the-loop controls added as part of the build, not after.
• Week 4: Deploy and optimize. Live in production, performance monitored against the metrics from week one, iterated based on real usage.

Total: 2-5 weeks, depending on scope, fixed and agreed in writing before work starts, not a marketing range you discover was aspirational once you’re three weeks in.

The reason that’s credible as a number is the order of operations: discovery happens first, and the timeline gets set from what discovery finds, not the other way around. If your workflows genuinely need more than one to three agents or touch more systems than that, the honest answer is a longer Sprint, scoped as such before you sign, not a compressed promise that quietly expands.

How do you tell if a quoted timeline is realistic?

Four questions, the same shape as evaluating price:

1. Is the timeline tied to a written scope, or is it a range pulled from the vendor’s marketing page before anyone has looked at your systems?
2. What does “done” mean at the end of it: one workflow live, or the full system the sales conversation implied?
3. Who carries the cost if it runs long: extra hours billed to you, or a fixed price that doesn’t move?
4. Does the timeline include discovery, or does discovery happen first and the timeline only starts once real scope is known?

A vendor who answers all four specifically, before you’ve paid anything, is telling you the number is a commitment. A vendor whose timeline only exists on their homepage is telling you it’s a guess with a design team behind it.

Is a shorter timeline automatically better?

No, and it’s worth saying plainly. A 2-week promise for a build that actually needs six systems integrated and a data cleanup first is its own kind of red flag: it usually means the scope will expand later, quietly, once the real work surfaces. The honest signal isn’t the shortest number on the page. It’s whether the number came from looking at your actual workflows first.

If you want that scoping done before you commit to any build, with or without us, that’s what the $1,500 Audit produces: a readiness heatmap and a build-ready blueprint, with a real timeline attached, credited in full toward a Sprint if you proceed within 30 days.