The method

The old way is optional.

Rebel with a plan.
And a fallback.

A useful automation has an owner, a clear job, and a way to fail safely. Here is how we get it from an idea to something your team can rely on.

Find the bad clause
01

Find the friction.

We trace a real example through your process: who receives it, which tools it touches, where it waits, and who owns the next action.

You get: a short process map and a decision on whether a pilot is worth doing.
02

Write the rules.

We agree the inputs, outputs, integrations, access, review points, and failure paths. Scope, costs, responsibilities, and acceptance criteria go in writing.

You get: a bounded proposal with specific deliverables and exclusions.
03

Build for reality.

The normal path is only part of the job. We test duplicate events, missing data, expired access, stopped sequences, and tools that do not respond.

You get: a controlled workflow, an exception path, and a manual fallback.
04

Prove it. Then decide.

We compare the agreed measures with the baseline and review the effort needed to operate the system. Expansion follows evidence.

You get: a results review, documentation, and a clear support or handover plan.

What we refuse to skip

Production is where
the demo excuses end.

01

Permissions

Use the least access required, document ownership, and remove temporary access after handover.

02

Exceptions

Decide which failures retry, which stop, and which need a person before real events enter.

03

Visibility

Make failures, costs, usage, and manual interventions visible to the operating owner.

04

Exit

Document how to pause, replace, export, or retire the system without trapping the business.

No mystery.
No disappearing act.

Before the first live run, you should know what the system does, what it costs to run, what it cannot do, and who responds when something breaks.

  • Process map and agreed scope
  • Access and permission record
  • Test cases and exception paths
  • Operating notes and manual fallback
  • Results review and handover decision

Before
we begin.

What do you need for the first conversation?

One real workflow example, the tools involved, an approximate frequency, and the thing that keeps going wrong. No customer database or passwords.

How long does an implementation take?

That depends on access, integrations, and the scope of the decision-making. We give an estimate after the audit and identify dependencies before committing.

What if the pilot does not justify continuing?

We review the evidence and remaining limitations. The agreed handover is part of the scope; expansion is a separate decision.

Who owns the accounts?

Ownership, credentials, exports, and documentation are agreed before the build. Client-owned accounts are preferred where practical.

What happens after launch?

The support plan identifies monitoring, response expectations, changes included, running costs, and the owner of manual exceptions.

From workflow audit to operation

The method is designed to
kill expensive ambiguity.

Most failed automation work is not caused by a missing API. It fails because the trigger was vague, the source data was unreliable, the exception path was ignored, or nobody owned the system after launch.

Our process turns those assumptions into written decisions. Each stage creates an artefact your team can inspect before more money or access is committed.

01

Current-state workflow map

We follow a real item through the process and record the trigger, inputs, systems, human decisions, waits, duplicate work, failure points, and final outcome. The map reflects what actually happens rather than the policy people remember.

02

Automation boundary and specification

The specification states what the system may do, what it must never do, the data it needs, the rules or AI judgment involved, the approval points, the integrations, and the expected behaviour when information is missing.

03

Test plan and pilot evidence

Normal cases are not enough. We test duplicate events, partial data, timeouts, expired access, opt-outs, conflicting updates, unexpected model output, and manual takeover. The pilot is measured against the agreed baseline.

04

Operating guide and ownership

Before handover, the team needs alert routes, pause controls, account ownership, access notes, usage-cost visibility, support boundaries, and a change process. Production automation is an operating responsibility, not a finished presentation.

What you can stop before building

Discovery can reveal that the process should be simplified manually, the data is not ready, the expected value is too small, or the risk is too high. Stopping at that point is a useful outcome.

What earns a second workflow

Expansion should follow evidence: reliable operation, visible exceptions, adoption by the responsible team, and an outcome that justifies the running cost. One successful path does not automatically justify automating the entire department.

Enough circling back.

Start with the process.

One conversation. One workflow. A clearer way forward.

Let’s kill the busywork