Production AI workflow development
Turn one manual workflow into a production AI workflow.
I help product teams automate or assist one expensive manual workflow in a way buyers and operators can understand before we get into model details.
Sprint boundary
- — Existing product and one manual workflow to automate or assist
- — Clear buyer-visible outcome: records, extracted fields, classification or next action
- — Inputs, outputs and review boundaries that can be made explicit
Outcomes
What this sprint can cover
- Conversations or emails become validated structured product records
- Documents become extracted fields with human review before use
- Support or lead requests become classification, context and a proposed next action
- Structured outputs and schema validation around the AI step
- Deterministic business rules, human approval and failure handling
- Evaluations, logs, monitoring and cost controls so the workflow can be operated
What you receive
- Workflow implementation with typed/validated boundaries
- Prompt, schema and business-rule documentation
- Evaluation cases for expected and failure behaviour
- Logging, monitoring and cost-control notes
- Deployment and handover notes
Not included
- Generic chatbot development
- Open-ended AI transformation strategy
- Training custom foundation models
- Autonomous agents without product guardrails
FAQ
Questions before scoping
Is this chatbot development?
No. The offer is for one product workflow with clear inputs, outputs, validation and ownership.
How do you keep AI output reliable?
By treating model output as untrusted: validate schemas, apply deterministic rules, log failures and add human approval where appropriate.
Can this integrate with external APIs?
Yes. API integration is part of the sprint when it is necessary for the bounded workflow.
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