Workflow discovery
We document how the work happens now: inputs, owners, timing, handoffs, exceptions, and what a correct result looks like.
Improve a workflowFlowTrellis helps operations-led teams find the workflows worth improving with AI, then builds the software needed to run those workflows with less manual effort.
We document how the work happens now: inputs, owners, timing, handoffs, exceptions, and what a correct result looks like.
We identify where AI can read, extract, compare, classify, draft, triage, or route work without pretending every step should be automated.
We design and implement the practical screens, data model, controls, and review steps needed to run the workflow reliably.
We keep the first build narrow, prove the workflow, and make the next improvements from real use rather than speculation.
The first question is where the work breaks: repeated data entry, unclear ownership, manual review, slow routing, poor records, or decisions that depend on one person remembering the process. Once that is clear, the software shape is easier to define.

A workflow repeats often, carries real consequence, and currently depends on spreadsheets, inboxes, shared folders, PDFs, photos, messages, or manual handoffs.

A broad enterprise platform, a vague idea without a real workflow, or a one-off task that does not happen often enough to justify its own tool.
Send the messy version. We will review the process, look for the AI/software opportunity, and reply with a practical read on what should be built.