Expected deliverables

Nearform pilots produce clear artifacts the client can use, not vague AI advice.

Core deliverables

Workflow summary: a plain-language explanation of the work so leaders can understand the process quickly.

Hierarchical task analysis: a structured breakdown of phases, tasks, decisions, exceptions, and handoffs so the team can see what the work actually requires.

Automation map: a classification of each step by automation readiness so the client knows what to automate first.

Human approval map: the points where a person must review or approve so automation stays safe.

Bottleneck report: time waste, friction, rework, and error points so the client can see where value is hiding.

Prototype or prototype spec: one supervised automation or a build-ready plan so the pilot becomes concrete.

Risk review: sensitive data, external actions, compliance, and failure risks so trust is established before deployment.

30-day roadmap: recommended next steps so the pilot turns into action.

Optional deliverables

Depending on the workflow, Nearform can also produce an SOP, checklist, training page, knowledge base article, report template, agent evaluation cases, screenshot or action log, dataset plan, labeling plan, or robotics and drone readiness note.

What a good deliverable feels like

A useful deliverable should let the client say: I understand the workflow better. I know what is safe to automate. I know where humans still matter. I know what to build first. This could save real time.

What we avoid

Nearform does not deliver generic slide decks full of AI buzzwords. Every deliverable should be tied to one real workflow, one real pain, and one next action.