Enable AI in company workflows and business processes

Map task frequency, handling time, input quality, exception rate and consequences of an error. Ask the people doing the work where they wait or repeat themselves. Separate the useful task from an attractive demo: summarising a document is only valuable if it changes a real next step.

For intake, identify which fields staff copy, which rules they apply and which documents need specialist review. A suitable first pilot extracts and proposes fields for review. It does not approve payments or make a consequential eligibility decision.

• Prefer a repeated, bounded task with a clear owner and a manual fallback.
• Check that approved sample data and tool access are available.
• Compare a non-AI option before accepting model operating costs.

Identify source owners, quality issues and access restrictions. Decide what may be sent to a provider and what must stay inside existing systems. Mask unnecessary identifiers in evaluation examples. Define retention for documents, generated proposals and feedback.

Write an action map: read a document, draft a field, propose a record update, execute a write, send a message. Authorise each separately. Access to a CRM API does not imply permission to edit every customer record or contact every customer.

If the process lacks an agreed rule, the pilot should expose the uncertainty. It should not encode a guessed policy that becomes harder to challenge once staff see it in a polished interface.

1. 01Define the input, expected output, review owner and success measure.
2. 02Use approved examples to compare an existing tool, a custom integration and a rules-based baseline.
3. 03Run the selected approach without committing business writes.
4. 04Show proposals beside the source so reviewers can verify them efficiently.
5. 05Introduce approved execution only after error handling, permissions and duplicate prevention have been tested.
6. 06Review net effort and quality before widening the audience.

Connect existing tools where useful, with idempotent processing and visible failure status. A repeated webhook must not create duplicate records. When a source or model is unavailable, preserve the original manual route and label the task as unprocessed rather than silently dropping it.

A missing purchase order can be a real exception, not a model error. Reviewers need both the proposed value and the source evidence. Validate formats and business rules using deterministic checks, and require a person to resolve conflicts. Do not rely on a model-supplied confidence score as the sole permission to execute.

When execution is enabled, the server verifies the reviewer’s authority, the record version and the approved proposal. Log the decision and result. A model-generated “writeAuthorised” field must never be trusted by the executor.

Use examples of a correct proposal, an unsupported value, a missing field and a failed integration. Show what staff must check, when they should stop and how to report a problem. Give the process owner a feedback queue with categories that can inform changes.

Measure adoption through completed tasks and review experience, not just account activation. If staff copy the proposal into another tool and then redo the work, the pilot may have shifted effort rather than reduced it. Include time spent correcting suggestions and handling exceptions.

Keep a human route for customers or colleagues affected by a decision. The process should not require them to argue with an assistant before someone can inspect the source.

Compare baseline handling time with assisted handling plus review, correction and exceptions. Use observed adoption and task volume. Separate released capacity from cash savings: time saved does not automatically reduce expenditure. Report quality changes alongside cost, including mistakes that create downstream rework.

Recurring costs include licences or model usage, document processing, hosting, integration maintenance and the reviewers’ time. Credential expiry, source changes and tool API changes need an owner. Re-evaluate when expanding the task or granting new actions; a successful drafting pilot does not validate autonomous execution.

Use the AI costs and ROI method for a worked hypothetical estimate. The commercial scope is AI in business processes; an enquiry can start with one task and approved examples.

Data and input-risk sources checked 11 October 2026: OpenAI: API data controls and OWASP: prompt injection. These controls support a pilot decision; they are not a claim of legal compliance or guaranteed savings.