OpSmith field guides

Make a better automation decision before you build.

Use these practical guides to choose the right process, map the real work, estimate its cost and design the controls that keep automation dependable.

Start here

Use repetition, volume, data quality, exceptions, risk and business value to find a defensible starting point.

Decision tool

Test whether the workflow is stable and understood well enough to move into design.

Working calculator

Estimate annual process labour and rework cost before discussing possible savings.

Planning guide

Document triggers, inputs, decisions, handoffs, approvals and exceptions without overcomplicating the map.

Reliability guide

Design the path for missing information, uncertainty, failures and unusual cases before launch.

Governance guide

Place human review where judgment, accountability or unusual commitments require it.

Operations guide

Define what to watch, who owns recovery and how a live workflow should change safely.

How to use the library

Follow the operating decision—not a content sequence.

Start with the question in front of your team. Each guide links to the next decision and the relevant OpSmith service only where it is useful.

Identify one costly, recurring workflow with a measurable outcome.

Map inputs, decisions, approvals and the exceptions that define real work.

Monitor the live workflow, recover safely and improve it from evidence.

These guides support OpSmith’s AI workflow automation methodology from opportunity selection through live operations.

The Operational AI Blueprint turns one recurring workflow into a current-state map, opportunity score and decision-ready implementation brief.