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Your First 90 Days of AI Automation: An Illustrative Decision Plan

A flexible evaluation sequence for an SME automation project, with evidence gates rather than guaranteed timelines or results.

Your First 90 Days of AI Automation: An Illustrative Decision Plan

A planning example, not a delivery promise

The following sequence is illustrative. It is not evidence that a fixed cohort of Elevate clients achieved results in ninety days. Actual timing depends on access, complexity, people and supplier constraints. Stop or change the plan when the evidence does not support the next step.

First: understand and measure the work

Name a sponsor and process owner. Gather a representative sample of the recurring task and record volumes, handling time, errors, rework and waiting. Write down the exceptions. Agree what would count as a useful improvement and what must not get worse.

Then: compare options

Compare clearer process ownership, native software configuration and a separately scoped integration. Ask existing suppliers what the current subscription can do. Estimate full ownership cost, including internal time and maintenance. Use downside assumptions as well as an expected case. Defer the build if the opportunity is too small or uncertain.

Next: controlled validation

Only after scope and responsibilities are agreed, test the chosen approach with controlled examples. Include failed connections, missing data, duplicate requests and ambiguous inputs. Verify that the owner can review exceptions and use the manual fallback. No calendar date overrides an unresolved access or quality problem.

Finally: review adoption and decide on expansion

Compare like-for-like workload and review effort after users have adopted the process. Check reliability and whether the released time is used productively. Keep capacity, cash savings and revenue separate. Expand only where the result and operating support justify it; do not automatically start a second automation to meet a programme timetable.

What to agree before commissioning work

Start with a free fit discussion, then agree the scope, fee and deliverables of paid AI Consulting. The output is a prioritised, costed roadmap you own. Production implementation and ongoing support are separate decisions. You can use the roadmap with Elevate, your own team or an existing provider. The right recommendation may be a process change or native software rather than a build.

Inspect the engagement brief and fictional roadmap sample. See current pricing arrangements; this article is not a rate card.

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