Services

Focused AI workflow pilot

AI workflow automation
consulting.

Turn a repeatable research or operational process into a workflow your team can run, inspect, and improve—without beginning with a promise of full autonomy.

01 / Good fit

Start where the work
already repeats.

The best starting point is not “we need an agent.” It is a process with recognizable inputs, decisions, and outputs that currently consumes meaningful time.

Signal 01

Repeated

The process happens often enough that improving it would matter.

Signal 02

Interpretable

Some steps require judgment; purely deterministic work may only need ordinary software.

Signal 03

Reviewable

A knowledgeable person can inspect important outputs while the first version proves useful.

Signal 04

Bounded

We can define where the workflow begins, what it produces, and when it is complete.

02 / The sprint

Method before
machinery.

The implementation may be a skill, runbook, integration, or small internal tool. That decision follows the workflow rather than leading it.

  1. 01

    Map

    Walk through the current process, inputs, decisions, exceptions, and useful output.

  2. 02

    Separate

    Keep interpretation with the model and put rules that must behave consistently into code.

  3. 03

    Build

    Implement one bounded workflow with the agreed data sources, tools, and review points.

  4. 04

    Handover

    Demonstrate the workflow, document its operation and limits, and identify the next sensible step.

Included in a typical pilot

A useful first version.

  • One workflow-mapping session
  • Defined input, output, and completion contract
  • Implementation and agreed integrations
  • Deterministic helpers where appropriate
  • Human approval before consequential actions
  • Documentation, demonstration, and handover

Scoped separately

Expansion after evidence.

  • Multiple unrelated workflows
  • A large custom interface or platform
  • Unrestricted autonomous operation
  • Complex production infrastructure
  • Additional integrations discovered later
  • Claims of guaranteed savings or model quality

03 / Public evidence

Review the engineering
before the conversation.

These are open-source projects, not claims of client adoption. They show the workflow, governance, deployment, testing, and documentation work available to inspect.

TypeScript tooling ↗

Pi Runbooks

Versioned workflows with approval gates, checkpoints, and output verification.

Deployment tooling ↗

Pi Ship

Private Linux deployment with terminal, Slack, or Telegram access.

A deliberate constraint

Not every process should use AI.

If conventional software, a script, or a simpler process change is the safer answer, I will recommend that instead. The purpose of the pilot is useful work—not adding an agent for its own sake.

Have one repeatable process in mind?

Start with the work.
Then choose the tool.

Describe the workflow