Can it be faster than 13 weeks for one workflow?

Sometimes, if the workflow is narrow and the systems are clean. The constraint is rarely how fast we can build — it's diagnostic, training, and cutover scheduled with your team.

What slows it down most?

Data integration work, manager prep that didn't happen, and governance work deferred to 'later'.

How long should an enterprise AI strategy take?

Don't write one before shipping the wedge. After the wedge ships, a 4–6 week strategy effort is realistic.

What if we have a hard regulator deadline?

Different math. NAIC IGD-H1 in Nebraska, HIPAA, Section 1557 — each has its own deadline timeline. Compliance work usually has to land in 90–120 days from the deadline.

How do we know if our timeline expectations are realistic?

Three signals it's unrealistic: assumes data is already clean, assumes managers will pick up the change effortlessly, assumes governance can be done after launch.

AI rollout timing, plainly

How long does an AI rollout actually take?

For Lincoln mid-market leaders. The honest timeline numbers, what determines speed, and why the answer depends on whether you mean one workflow or enterprise-wide change.

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Definition

The honest answer depends on what you mean by "rollout."

**One workflow, in production, with a trained team: ~13 weeks.** Two weeks of diagnostic, six to eight weeks of build, two weeks of staged training and cutover, plus 30-day post-cutover support.

**Enterprise-wide AI scaling: 12–24 months realistic.** McKinsey 2025 found nearly two-thirds of organizations have not begun scaling AI across the enterprise. Deloitte Q4 2024 found over two-thirds of organizations report only 30% or fewer of their experiments will scale within 3–6 months.

**Governance program implementation: more than a year.** Deloitte Q4 2024 found 69% of respondents expect implementing a governance strategy will take over a year.

Why it matters for Lincoln companies

The "how long" question usually has an unstated subtext: "Can we ship something this quarter?" For one wedge workflow, yes. For enterprise transformation, no.

The pattern that fails: a 90-day plan to "transform" the company. The pattern that works: a 90-day plan to ship one workflow, governance work in parallel, and a 12–24 month roadmap.

Common follow-up questions

Can it be faster than 13 weeks for one workflow?: Sometimes, if the workflow is narrow and the systems are clean. The constraint is rarely how fast we can build — it's diagnostic, training, and cutover scheduled with your team.
What slows it down most?: Data integration work, manager prep that didn't happen, and governance work deferred to 'later'.
How long should an enterprise AI strategy take?: Don't write one before shipping the wedge. After the wedge ships, a 4–6 week strategy effort is realistic.
What if we have a hard regulator deadline?: Different math. NAIC IGD-H1 in Nebraska, HIPAA, Section 1557 — each has its own deadline timeline. Compliance work usually has to land in 90–120 days from the deadline.
How do we know if our timeline expectations are realistic?: Three signals it's unrealistic: assumes data is already clean, assumes managers will pick up the change effortlessly, assumes governance can be done after launch.

Sources

69% of respondents expect implementing a governance strategy will take more than one year — Now decides next: Generating a new future — State of Generative AI in the Enterprise Quarter four, Deloitte AI Institute, 2025
More than two-thirds of respondents report 30% or fewer of their experiments will be fully scaled in the next 3-6 months — Now decides next: Generating a new future — State of Generative AI in the Enterprise Quarter four, Deloitte AI Institute, 2025
Roughly two-thirds of organizations have not yet begun scaling AI across the enterprise — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025
AI high performers are nearly 3x as likely as others to say their organizations have fundamentally redesigned individual workflows — The state of AI in 2025: Agents, innovation, and transformation, McKinsey & Company (QuantumBlack, AI by McKinsey), 2025

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