Workflow automation

Area: AI & Automation · Usual shape: rules, triggers and scheduled jobs · The principle: a rule where a rule is enough

A lot of what gets called AI today is really rules and scheduling — which is good news, not a criticism: a rule is cheaper, more precise, and its decision can be explained. We start from the steps a member of your staff repeats every day and turn them into something that runs on its own and leaves a trail you can check.

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What this solves

Data is copied between two systems every morning.
A report is assembled by hand on a schedule.
Reminders are sent manually, or not at all.
Approvals are late because nobody chases them.

What we build

A map of the current manual procedure as it actually happens.
Explicit, written rules and triggers.
Scheduled jobs with their timings agreed.
Notifications and escalation when something is late.
Approval paths with defined roles.
Connection of the steps to the systems involved.
Failure handling and retries, because a silent failure is worse than none.
An execution log showing what ran, when and why.

Where it is used

Data copied between two systems every morning.
Reports assembled by hand on a schedule.
Reminders sent manually.
Files arriving from a supplier and processed by hand.

What this does not include

We do not promise headcount reduction, and it is not the point of the project.
We do not guarantee a third-party tool will permit automation before checking.
We do not automate a decision that affects a person without human review.
Automation does not fix a bad procedure, it speeds it up — and we say so before starting.

How the work goes

We watch the manual process before we describe it, because the written version is always tidier than the real one.
We simplify the procedure before automating it, where simplifying is possible.
We automate one step end to end and leave the rest manual until it is proven.
We make what ran visible, so trust is based on a log rather than on hope.

System & service integrations
when the systems need connecting before work can flow between them.
Document & text processing
when the trigger is a document that has to be read first.
Custom business systems
when the process should live inside a system rather than beside one.
AI assistants & conversational interfaces
when people need to ask rather than a step needing to run.

Questions about this service

Do we need AI for this?

Usually not, and we raise it before you do. If the condition is fixed and the input is structured, a rule is better: cheaper, more precise, and its decision can be explained afterwards.

What happens if a step fails?

It retries where retrying is safe, and escalates to a person where it is not. A silent failure is the worst possible outcome, so nothing is designed to fail quietly.

Can work be automated across external tools we do not own?

Only if those tools genuinely permit it, which we verify before agreeing. Plenty do not, and finding that out early is cheaper than discovering it mid-project.

How do we know what actually ran?

An execution log records every run with its inputs and outcome. Automation you cannot inspect is automation you will eventually stop trusting.

Can it be paused?

Yes, and it should be possible without a developer. Month-end, audits and unusual weeks are real, and a process with no off switch gets worked around instead.

Tell us what your team does every morning.

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