AI workflow engineering for technical operations

Make repetitive work more reliable.

Flying Fish Digital turns document-heavy processes into tested AI-assisted workflows—with evaluation, human review, and clear handoffs built in.

  • Bounded scope
  • Representative tests
  • Human approval
Flying Fish DigitalWorkflow, not magic
01 · Source Real workflow Documents · decisions · constraints
02 · Process Bounded AI chain Structure · tools · checks
03 · Result Reviewed output Evidence · exceptions · handoff

Prompt chains

Structured outputs

Document workflows

LLM evaluation

Human-in-the-loop design

Start with the problem

Practical help, without the “AI transformation” theater.

The right first step may be an AI workflow, ordinary automation, process simplification—or no new tool at all.

01

AI Workflow Audit

Map one repeated process, define what correct means, identify risk and approval boundaries, and make a written go/no-go recommendation.

  • Current-state workflow map
  • Failure and approval analysis
  • Prioritized next steps
03

AI Reliability Review

Test an existing AI feature against representative cases, expose repeatable failures, and turn findings into an actionable remediation plan.

  • Evaluation set
  • Failure taxonomy
  • Prioritized corrections

Evidence before automation

A disciplined path from messy process to usable system.

Good workflow engineering is less about choosing a fashionable model and more about understanding the real work, its failure cost, and the person responsible for the result.

“Plausible-looking” is not an acceptance criterion.
  1. 01
    Observe

    Walk through the actual process and representative inputs.

  2. 02
    Simplify

    Remove waste and clarify ownership before adding automation.

  3. 03
    Build

    Use the smallest mechanism that can do the job reliably.

  4. 04
    Evaluate

    Test representative cases, exceptions, and human review paths.

  5. 05
    Handoff

    Document operation, limits, and the evidence needed to maintain it.

Built for operational reality

Technical systems need field judgment.

Flying Fish Digital is led by Jared Hagadorn, whose background spans aviation electronics, commercial diving leadership, industrial inspection, safety-sensitive field operations, and building commercial software with AI.

That experience shapes a direct working style: define the job, protect the boundary, test the result, and leave the client with something they can actually operate.

A good first conversation is specific

What repetitive process is consuming skilled time?

Bring one workflow, a few representative examples, and the person who knows what a correct result looks like.

hello@flyingfishdigital.io