How long does AI implementation take?

First, agree what the finish date means

A demonstration with selected examples can finish before anyone has permission to connect to the live systems. A production release must also work with real inputs, respect access boundaries, handle exceptions, and have someone available when it fails. Comparing the two dates tells you little about delivery speed.

Write the milestone as an observable result: ‘The operations team can use the workflow for the agreed case types, with review coverage and a tested manual fallback.’ List excluded cases separately. A second department, another system, or permission to act without review is additional scope even when the interface looks the same.

What does a 4–6 week sprint cover?

PlatformBridge’s published Production Sprint covers integration, testing, and launch for one use case, typically in 4–6 weeks. Our AI Opportunity Sprint is a separate 1–2 week engagement to assess the opportunity and define the work. These describe our engagement scope; they are not industry benchmarks or a fixed duration for every implementation.

Before scheduling a build, agree whether the clock starts at contract signature, a kickoff meeting, or the point when required access and examples are available. Ask what happens to the date if a dependency misses its commitment. A proposal that excludes approval delays needs to show those delays somewhere in the overall business plan.

Put waiting time on the schedule

For each workstream, record the deliverable, the person responsible, the work it depends on, hands-on effort, and expected elapsed time. Ten hours of security review spread across two committees can occupy more calendar time than several days of engineering. Adding engineers will not necessarily shorten that wait.

Use the table below in the kickoff meeting. Replace role names with actual people, reserve their review time, and attach evidence to each completion condition. Some work can run together; anything that requires the same person or an unfinished input may need to run in sequence.

A worked example: 30 business days

Consider a hypothetical internal request-triage workflow. Assume scope and test preparation take five business days, while access approval takes ten. Both start on day one with separate owners. Implementation then takes ten days, acceptance and correction take five, and a limited rollout takes five. These are invented planning inputs, not measured delivery times.

Because scope preparation and access approval overlap, the planned duration is max(5, 10) + 10 + 5 + 5 = 30 business days. Adding every estimate would incorrectly produce 35. With a five-day working week and no holidays, this example occupies six weeks.

If access takes fifteen days, the finish moves to day 35 unless later work can genuinely be shortened or started earlier. If acceptance uncovers a material failure, the release waits for correction and another check. Record that uncertainty rather than quietly assuming every test will pass the first time.

Shorten the work that controls the date

Start access requests and collect representative cases while defining scope. Book operator review sessions before the build finishes. Use existing software capabilities when they satisfy the requirements, and keep the first release to one useful outcome. Each choice removes a specific dependency or reduces the amount of work to validate.

If the deadline is fixed, agree which case types or integrations can move to a later release. Do not trade away permission checks, acceptance, or support coverage to preserve the original slide. A draft-only workflow may be a viable first milestone; automatic execution needs its own tested scope.

At each review, update the remaining duration, unresolved dependency, responsible person, and decision needed. That gives a sponsor something they can act on when the date changes.