The systems are built in your tools, around your processes and your controls, with the people who own the work. Your team receives the documented workflow and handover. Required software and ongoing support responsibilities are agreed before work starts.
About Clerq
Automation for the work
Automation for the work
behind your business.
Clerq is an operator-led AI delivery practice in London. We automate recurring work across finance, operations and customer service, connecting the tools, records and people each process depends on.
Month-end, supplier follow-ups, returns and customer queries each need different checks. We build around those differences, with clear outputs and a named person for exceptions. Explore our workflow builds or inspect a fictional assessment example.
The practice
From recurring manual work to a working system.
Clerq takes on a small number of engagements at a time, building AI systems inside UK businesses - finance functions, operations teams and customer service. Service fees are published on the homepage menu, from a £499 assessment to full implementation - and every engagement starts with a conversation about what is actually slowing the business down.
The £499 workflow and systems assessment reviews one team across its tools in a two-hour session, with preparation, a comprehensive report and a short follow-up. Suitable opportunities receive an individual scope, price, timing and ongoing-cost estimate. A separately commissioned build delivers the working workflow, checks and handover.
Explore illustrative finance, operations and customer service workflows, each with inputs, outputs and review points. The month-end page separates built capabilities from its synthetic walkthrough. The fictional assessment shows the systems review and individually priced workflow recommendations. None is a customer-results claim.
Reading our work
What the examples prove.
Our workflow pages separate built capabilities from synthetic examples. An illustrative report shows the shape of an output; it does not establish a customer result, a live integration or time saved.
For a build, we agree representative inputs, expected outputs, exception handling and the review points before acceptance. Your team checks the result and receives a documented handover. The finance, operations and customer service examples make those boundaries visible.
Guides carry company authorship and source references. Use the stated assumptions and limitations, and check current provider information where a tool or service has changed. For the investigation stage, inspect the worked assessment example.
Our books and editorial standards
Editorial standards
How the books are made.
A guide about using AI honestly should be honest about how it is produced. These are the standards every Clerq title is held to.
01
Honest about how the books are written
We use AI tools in producing the books, exactly as the books teach: drafted with AI assistance, under human editorial direction, with every method, claim and example checked by the Clerq team before publication. We practise the briefing-and-verification discipline we sell - and we would rather say so plainly than let you assume otherwise. If that disclosure changes how you read the books, it should be on the first page, not buried.
02
Judge us on the free work first
We publish a library of free articles on using AI in real office work - the same voice, the same method, the same refusal to oversell. Read a few before you spend anything. Start with how to use AI at work, which carries the whole method in a single piece - it is the truest sample of the standard you would be paying for. They are the work sample; the books are the same thing organised, extended and finished.
03
Corrections and updates, free
AI tools change fast; the method is written to outlast them. When something goes stale, or you spot an error and tell us - reply to any email from us - the confirmed fix ships in updated files, free, to everyone who bought that edition.
04
No oversold capabilities
If AI is unreliable at a task, the book says so and shows the check that catches it. No guarantee of outcomes, no "10x yourself", no revolution talk - just what works, and how to know when it has not.
The series promise
One flagship guide. Role editions that go deeper.
AI at Work: The Practical Method runs to four editions - Everyday Office Work, Finance and Accounting, Managers and Team Leads, and Marketing. All four share the same eight-chapter method, then carry three chapters written for that job family, so a role edition is the complete book plus role-specific depth rather than an abridged one. Each runs to roughly 25,000 words across about 70 pages. Our books are available on Amazon. The PDF and EPUB offers described on the books page are direct editions from Clerq; direct checkout remains closed.
Work with Clerq
Tell us what is slowing you down.
A few sentences are enough. Every enquiry is read by the founder and answered personally - and if the honest answer is that you do not need us, that is the answer you will get. The first conversation is free. Any paid assessment or build is agreed separately.