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Define the scope of an AI automation project.
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The scope of an AI automation project depends on the process, available system access, quality of the inputs and consequences of mistakes. Define those first. A useful proposal explains the work, your team’s responsibilities and how you will decide whether the result is ready.
The factors that change the work
| Factor | What to establish before a proposal |
|---|---|
| Process | The beginning, expected result, exceptions and decision owner |
| Systems | Supported access, subscriptions, read and write permissions, and connection limits |
| Inputs | Document formats, versions, missing fields and representative examples |
| Review | Who approves which actions and how the decision is recorded |
| Testing | Expected answers, unacceptable mistakes and a comparison baseline |
| Operations | Monitoring, incident response, changes, support and handover |
A draft-only process has different controls from a workflow that changes records. A clean document collection requires different preparation from scanned files with conflicting versions. A tool’s API being available does not establish that every required action is supported.
Separate the first check from the full rollout
Agree a defined first use case and the evidence needed to continue. Start with approved examples; confidential material should wait until access, permission and data handling are settled. Review the outputs and exceptions before extending the workflow to a larger set of records or more systems.
The guide to choosing a first workflow provides a practical starting checklist. Where existing software already covers the job, AI implementation and adoption may fit better than a custom build.
Ask what you receive at handover
- Configuration and operating instructions for the agreed workflow.
- The test inputs and results, with failures and limitations visible.
- Ownership and access arrangements for code, prompts and connections.
- The procedure for reviewing changes, pausing work and recovering from failures.
- The responsibilities for future software, model and document changes.
These items should be explicit in the agreed scope. Do not infer ongoing support or an ownership arrangement from a demonstration alone.
Compare proposals on the same assumptions
Use the same process, input sample and acceptance criteria when assessing options. Ask which subscriptions and usage charges sit outside implementation, whether a third-party licence is required, and which dependencies can change the schedule. A generic savings estimate cannot replace your own baseline.
There is no universal project price or delivery time. Establish the process and software involved before comparing proposals.