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Operations & Reporting

Operations that stop running on spreadsheets.

Connected systems, automated workflows and reports that build themselves.

Solutions · Applied AI

Organizations often run on a few fragile workarounds: a shared spreadsheet, an inbox, a report someone rebuilds every Friday.

We connect the systems behind them, automate the repetitive steps, and turn reporting into something people act on.

Why the spreadsheet exists

The gap it fills

Two systems don’t talk to each other, so a person copies information between them. Or the official system is too rigid for how the work really happens, so the real process lives beside it.

Until it breaks

The workaround mostly works, until the person who understands it is on holiday, the volume doubles, or someone moves a column.

Why now

Custom software used to make sense only for big projects, so smaller processes stayed manual. The build threshold has dropped a long way: a tool for twenty people, or an automation that saves someone a day a week, is now worth building, and quick to build.

Start where the right answer is already known

Automation makes a good first project because the result is easy to check: the report has a set shape, and an order has set steps.

  1. Watch

    We begin by observing the process as it really runs, including the workarounds, the exceptions and the steps nobody wrote down.

  2. Pick

    We pick a process with a clear owner, a clear output and enough repetition to matter.

  3. Automate

    Automating a process shows what it really involves. Every exception has to be uncovered and handled deliberately, instead of falling to someone who remembers (or doesn’t).

  4. Improve

    Once the routine work runs on its own, the time goes into the output. For reporting, that can mean a short summary of the few findings that matter, drafted with AI and checked by a person before it’s sent, with an audit trail when it’s needed. For a media agency whose dashboards now build themselves, we’re turning the monthly report into a short issue with the one to three findings that matter.

What we build

  1. Connections between systems

    Your CRM, project tools, finance system, forms and ad platforms, joined so information is entered once. Where tools allow it, AI assistants can use the same connections.

  2. Automated workflows

    Multi-step processes that run on their own when triggered by real events: a new order, a signed contract, a form submission.

  3. Data in one place

    Every source gathered into one warehouse, cleaned and labelled, so reporting doesn’t start with an export.

  4. Small custom tools

    An approval queue, an intake form that routes itself, a dashboard for one team. When a process needs its own screen, we build it and connect it to the systems you already use.

Good automation is mostly plain plumbing.

AI comes in for the parts that need reading or judgment: pulling details out of emails and documents, drafting summaries, routing requests.

When something breaks

Automation that fails silently is worse than the manual process it replaced.

Monitored

Each workflow gets the monitoring and logs it needs, and a named person who is told when something fails.

Permissions

Permissions and data handling are set up from the start, especially for personal or financial information.

Documented

We document how it works, so it doesn’t become the new spreadsheet only one person understands.

Some of what we build only needs to last a year.

Disposableorpermanent?

It solves this year’s problem

It’s disposable.

Building costs less now, so a tool that gets replaced when the organization changes can still be worth creating.

It needs to last a decade

It’s permanent.

Some pieces, often the connections and data underneath, are meant to last for years. We say up front which ones.

What changes

  1. Time back

    The hours spent copying between systems could go to work that needs judgment, the work people were hired for.

  2. Reports that start the conversation

    The Friday report could say what changed and why, so the meeting starts with the decision.

  3. A process anyone can pick up

    New staff could learn it from the documentation, instead of from the one person who built it.

  4. Room for the next build

    With the connections in place, the next tool or automation could be quicker to add.

Related

The expertise behind it

All expertise