Applied AI consulting for business applications and workflows

I help identify suitable use cases, assess data quality and permissions, and compare implementation options. The work defines what success looks like before a model or platform is selected.

I can help design assistants for document search, summarization, extraction and drafting using approved information. Source grounding, representative evaluation and human review are part of the design.

For multi-step workflows, I define the tools an agent may use, the data it may access and the actions that need approval. Exception handling, activity records and a recovery path are included before production access expands.

I can assess and implement intelligent capabilities within a business application, such as document processing, knowledge assistance or guided task execution. Integration with existing roles, business rules and support procedures remains part of the scope.

I use AI assistance where appropriate for codebase orientation, documentation, test preparation and repetitive development work. I remain responsible for reviewing the work and validating changes against the actual system.

I also help define evaluations, permission boundaries, quality and cost monitoring, escalation procedures and change controls for AI capabilities.

A scoped engagement can produce a use-case assessment, data-readiness findings, a prototype or application feature, representative evaluations and an operating plan. For agents, the design also specifies allowed actions, approval points and how a failed or incorrect action is handled.