The fifteen hours a week you did not know you were losing

Nobody starts a business to retype an address into a second system. The unglamorous middle, the invoicing, the scheduling, the copy-paste between tools, the documents, the reminders, the onboarding checklist that lives in someone's head, is where the hours go, and none of it is billable, visible or interesting enough to fix. It is also the easiest thing to automate and the fastest to pay for itself.

How the system works

01

We map where the hours actually go

Not a survey. We sit inside the current process, follow a job from first contact to paid invoice, and write down every handoff, every re-key and every step that only happens because someone remembered.

02

We pick the steps worth automating first

Frequency times minutes times how badly it breaks when it is missed. That ordering usually surprises people, because the annoying task and the expensive task are rarely the same one.

03

Events replace reminders

A form submit, a booking, a status change, a paid invoice: real events in systems you already run become the triggers, so the workflow starts itself instead of waiting for someone to notice.

04

Documents and data move themselves

Records written to every system that needs them, documents generated, parsed or filed, and information passed between tools without a human as the transport layer.

05

People get told, with context

When a human genuinely needs to act, the system says so, to the right person, with everything they need attached. Silence means it handled it.

The workflows that pay for themselves first

Invoicing and payment chasing. Invoices generated from the job record rather than retyped, sent on completion, and chased on a schedule until they are paid. Late payment is mostly a follow-up problem, and follow-up is exactly what nobody has time for.

Scheduling and reminders. Bookings confirmed, reminded and rescheduled without phone tag, and no-shows caught by a sequence rather than noticed after the fact. In appointment businesses this is usually the single highest-value flow.

Data entry between systems. The same customer, job or product typed into a CRM, a spreadsheet, an accounting tool and a calendar. One record, written everywhere, is the most boring and most reliably profitable automation there is.

Document handling. Quotes, contracts, work orders and receipts generated from real data, and inbound documents parsed instead of read. An AI layer handles the reading where the format is inconsistent, which is most of the time.

Review requests and onboarding, done as systems

Review requests are the clearest example of a task that only works as a system. Asked at the right moment, in one tap, after the job is finished and while the customer still feels good about it, they arrive steadily. Left to whoever remembers, they arrive in bursts after someone reads an article about reviews. For a local business competing in map results, that difference compounds.

Customer onboarding has the same shape. Every business has a sequence that should happen after a sale, the welcome, the information gathering, the setup, the check-in, and almost every business runs it inconsistently. As a system it runs identically every time, and the parts that need a person arrive on their list rather than in their memory.

Both are examples of the general rule: the work that gets skipped is the work that depends on someone remembering, and the point of back office automation is to remove remembering from the critical path.

Why this is worth more than it looks

Back office work is undervalued because it is invisible. It does not appear on an invoice, nobody praises it, and the cost is spread thinly across every week, which is precisely why it goes unexamined for years.

Add it up honestly, though, and it is usually the largest recoverable block of time in an owner-run business, ahead of anything customer-facing. It also has the lowest risk profile of anything we build: the workflows are internal, the failure modes are visible, and there is no customer on the other end of a mistake.

That combination, high hours, low risk, is why we often start here even when the client came in asking about something more exciting. A team that gets its week back has capacity for the ambitious build. A team drowning in admin does not.

Where this runs

Every industry, which is exactly why it is a broad system rather than a niche one. In automotive it is work orders, deposits, invoicing and service reminders. In ecommerce it is order exceptions, supplier data, returns processing and review generation. In hospitality and events it is deposits, contracts, staffing schedules and post-event follow-up. Professional services, home services, real estate, and health and wellness are next, and back office automation is typically the first thing they need.

Who this is for

Automotive

Work orders, deposits, invoicing and service reminders that currently depend on someone at a desk between jobs.

Ecommerce and retail

Order exceptions, supplier data, returns processing and the review requests that never get sent consistently.

Hospitality and events

Deposits, contracts, staffing schedules and the post-event follow-up that always loses to the next event.

FAQ

Is this just Zapier with extra steps?
Connector tools are one of the ingredients and we use them where they are the right answer. The difference is the design: a mapped process, real error handling, an AI layer where judgment is needed, and documentation your team can act on. A pile of undocumented connections that nobody can debug is a liability, and rebuilding one of those is a frequent starting point for us.
How much time does back office automation actually save?
Enough that the mapping exercise is worth doing even if you stop there, because writing down every re-key and handoff usually surprises the owner. We scope against the hours you can actually count rather than a promised figure, and the first workflow is chosen so the payback is fast and obvious.
Which workflow should we automate first?
The one that is frequent, mechanical and expensive when missed. In practice that is usually invoicing and chasing, or scheduling and reminders. We rank them in the first call and start where the return arrives soonest.
Do we have to change our accounting or scheduling tools?
No. We build on top of what you already run and only suggest replacing something when it is genuinely the bottleneck. Most builds connect tools you already pay for.
What happens when something fails?
It tells you, with context, and it fails safely. Silent failure is the real risk in back office automation, so error handling, retries and alerting are part of the build rather than an afterthought, and there is always a visible record of what ran.
Can it handle documents that arrive in inconsistent formats?
That is where the AI layer earns its place. Supplier invoices, work orders and forms that vary from source to source get read rather than pattern-matched, which is what makes parsing robust when a source changes its layout.
Is our data safe in these workflows?
The data stays in accounts you own, and where AI providers are involved we configure them so your business data is not used for training. Loi 25 obligations are designed in from the start, including retention and purpose, which matters more here than people expect because back office flows touch payroll, client and financial records.
How long does a back office build take?
A single workflow ships in one to two weeks. A broader programme covering several flows runs three to four and is phased, so the first one is saving time while the next is being built.
What do we get at handover?
The system, full access to it, documentation written for your team rather than for developers, and a view of what ran and when. Nothing about keeping it running should depend on us being available.

Tell us what’s slowing you down.

Five minutes to describe your operation, we come back with a concrete plan and a timeline.