Make the review easier.
Work from source records to checks, exceptions and a decision. Start with the illustrative month-end walkthrough, then examine your own close and reporting work.
Guides from the Clerq team for finance, operations and customer service. From month-end to a supplier review, a return or a customer query: find the inputs, checks and ownership before deciding what to automate.
Choose a starting point
Work from source records to checks, exceptions and a decision. Start with the illustrative month-end walkthrough, then examine your own close and reporting work.
Make the records, owner and next action clear. Use supplier and reporting guides to examine the checks and hand-offs in your own process.
Bring the message, order record and relevant policy together. Decide what can be routed or drafted and what needs a person to resolve it.
Use these guides to improve a process yourself, assess what is worth changing or discuss a scoped build. They explain approaches and illustrative examples; they are not customer case studies. For a new project, start with planning and cost guides.
Build the close around evidence and review. These guides cover the checklist, ledger inputs, recurring reconciliations and reports that support the decision.
A controlled sequence for evidence, reconciliations, exceptions, review and sign-off.
AI workflows around the ledger, not instead of it, with least-privilege access and human sign-off.
Capture, coding, matching and payment runs with approvals, segregation and an audit trail.
A chase ladder that protects relationships, and the collections work that should stay human.
Build the weekly view, govern assumptions and turn variance into decisions.
Receipt capture, policy rules, approval routing and card matching, with duplicate detection across both channels.
Bounded finance and operations tasks, the controls an agent needs and the decisions that still need a named reviewer.
Bring evidence, ownership and the next action into view. Start with the free contract register, then use the guides to examine supplier decisions and shared reporting.
Track dates, evidence, decisions and human review without pretending to provide legal advice.
Ownership, verified dates and reminders: decide what your process needs before selecting a tool.
Start with decisions, govern KPI definitions and expose data quality.
Follow the enquiry and the records behind it. These guides cover routing, escalation and checking a return across the teams that handle it.
Classify, enrich and route enquiries with meaningful human escalation.
Match order, carrier, warehouse, refund, inventory and finance records.
Start with the recurring job, compare the cost of changing it, and define what a useful result must prove. Inspect the fictional workflow assessment, then work through scope, controls, implementation and adoption.
Why AI projects stall before they produce anything useful, and how to choose a first workflow that finishes.
The seat-licence floor, what a first workflow actually costs, and why a single number is always a guess.
A practical way to calculate workflow payback without treating estimates as evidence.
A weekly trading-report example shows how data, review effort, ownership and maintenance determine whether an AI workflow becomes useful everyday work.
A straight answer on what a controlled 90-day implementation should establish, measure and hand over.
A minimum viable AI policy, the UK regulatory reality and supplier questions that matter.
Should the next hire be a person or a workflow? The cost inputs, the controls and the work that stays human-led.
A sourced statistics roundup with denominators, caveats and a plain reading of each number.
Supporting guides from the Clerq team and the AI at Work series: prompts, email, meetings, spreadsheets, tools and safety. Begin with the practical starting point, then choose the task you need.
One task, a decent brief and the habit of checking the output - the whole method in one article. Read this one first; the other everyday guides expand on it.
Seven briefs that cover most of an office week, and how to adapt each one to your job.
Keep your own voice, handle the four difficult emails, and know which ones AI should never write.
Transcript or scrawl into minutes in a minute, plus the three checks before anything circulates.
Three jobs AI does well, the prompts for each, and the checking habit that keeps numbers honest.
The three kinds of tool, why the one you already have usually wins, and four questions before paying.
What is actually happening to office jobs, which tasks are moving, and the moves that protect you.
A chatbot answers, an agent acts - what that means in practice, minus the keynote hype.
The five places the minutes actually come from, and the four ways AI quietly costs time instead.
The never list, the anonymising technique, and what to do when something has already gone in.
The Sequoia "sell work, not software" thesis, the agentic adoption gap, and what it changes about the job you do.
These articles show the thinking. AI at Work turns it into a practical, hype-free guide for your own working week - PDF and EPUB, from £17.
Next step
Choose a time in Calendly to discuss what keeps coming back onto your team’s desk. Any assessment or build is agreed separately.
Prefer email? stephen@aiclerq.com
Assessment £499 with a two-hour systems walkthrough and report. Simple workflow £995; connected workflow £1,500-£3,000; bespoke work individually quoted. Basic care £150-£250/month; active improvement from £750/month. Scope and final price agreed first.
Start with a free introductory call. Choose a time in Calendly. The optional £499 assessment includes a two-hour walkthrough of one team and its systems, preparation, a prioritised report and a short follow-up call. A defined build can be quoted directly.
We start with your current tools. We confirm suitable connections, access and file hand-offs before agreeing a build. The Xero example does not establish support for every accounting platform.
Payments, supplier decisions and customer replies stay under human approval. We agree the inputs, secure sharing method, access permissions and responsibilities before work starts. Use only a brief description in the public enquiry form. Do not send confidential records. See our privacy policy for website data handling.
Sometimes AI is not worth it yet. If the process is unclear, automating it makes it faster and worse, and we will tell you so. Try the readiness check.