Document automation for UK businesses
Stop editing the same template by hand and re-keying data off PDFs. We build the document automation that generates accurate documents from your data, and extracts data from the documents you receive.
Your team is a human mail-merge and a human OCR.
Two document problems quietly eat hours in every UK business. People generate documents by hand — editing the same contract, quote or report template, copying details in, getting the odd thing wrong. And people extract data by hand — reading invoices, forms and statements and typing the figures into a system. Both are repetitive, error-prone, and exactly what automation is good at.
- Generated by hand — The same quote, contract, engagement letter or report rebuilt from a template every time, with details copied in manually. Slow, inconsistent, and one fat-finger away from an embarrassing error in a client document.
- Extracted by hand — Invoices, forms, delivery notes and statements arrive as PDFs, and someone reads them and types the data into a system. Hours a week of pure data entry, with transcription errors baked in.
- Lost in inboxes & drives — Generated and received documents scatter across email and shared drives with no consistent naming, filing or version control. Finding the right version of a contract becomes its own job.
Documents from data. Data from documents.
Document automation runs in two directions: generating documents from your structured data, and extracting structured data from the documents you receive. We build whichever you need — usually both — with a human checkpoint wherever accuracy or judgement matters.
- Independent — no tool commissions — Zero kickbacks from any document or OCR vendor. We pick the right generation and extraction tools for your document types and volume.
- Confidence-scored, not blind — Extraction routes low-confidence reads to a human review queue rather than trusting everything. Generation keeps a human in the loop for anything non-standard.
- Flat fee, integrated & filed — Fixed price for the build. Documents flow from and into your systems, named, versioned and filed automatically — not left in an inbox.
Six document automations that remove the typing
The patterns repeat across finance, legal, HR and operations. Most engagements build two or three.
A four-phase engagement, priced flat
No hourly billing. No scope creep. You know what you're paying and what you're getting before we start.
We map your document flows — what's generated by hand, what's extracted by hand, where volume and errors concentrate. Output: a prioritised automation list with time-saved estimates.
We pick the highest-ROI builds first — usually whichever document type has the most volume. You see the case for each before signing off, including the human-checkpoint design.
We build the generation templates and/or extraction pipelines, wire in your systems and storage, and configure confidence scoring and review queues. Tested against real documents before rollout.
Documentation, training and a check-in 90 days after launch to measure time saved and error reduction. After that, fractional CAO retainer or done.
What document automation actually means
Document automation solves two distinct but related problems, and most businesses have both.
The first is generation: you have data and need to produce a document from it. A quote from CRM data, a contract from intake details, an engagement letter, a report from your database, a policy, a renewal notice. Today someone opens a template, copies the details in, and saves a new version — slow, inconsistent and error-prone. Automation merges the data into an approved template to produce a consistent, accurate document instantly.
The second is extraction: you receive a document and need the data out of it. An invoice to code, a form to process, a bank statement to reconcile, an application to log. Today someone reads the PDF and types the figures into a system. Automation reads the document with OCR or document AI and pushes the structured data into your systems, with a human checking only the uncertain cases.
A complete document automation setup usually runs in both directions.
Generation: documents from data
Document generation is one of the most reliable quick wins in automation, because the process is so repetitive and the templates already exist. The pattern:
- Intake — data comes from a form, a CRM, a spreadsheet or another system.
- Template — an approved template holds the fixed content and the merge fields.
- Merge — automation populates the template, applying any conditional logic (include this clause if X, this rate if Y).
- Output — to Google Docs, Word or PDF, ready to send or sign.
- Route — for e-signature (DocuSign, PandaDoc, Adobe Sign) and/or approval if needed.
- File — named, versioned and stored automatically.
The value isn't only time saved — it's consistency and error reduction. A generated document doesn't have the wrong client name left in from the last one, or the rate someone forgot to update. For legal documents specifically, this is covered in more depth on the legal & compliance and contract automation pages.
Extraction: data from documents
Document extraction uses OCR (optical character recognition) and modern document AI to pull structured data out of documents. The technology has improved dramatically: tools like Google Document AI, AWS Textract, Rossum, and finance-specific tools like Dext and AutoEntry, now extract key fields from structured and semi-structured documents with accuracy well over 90% after a short training period.
The critical design principle is confidence scoring. A cheap extraction setup pushes every read straight through and hopes for the best. A good one scores each extraction's confidence and routes the uncertain ones to a human review queue, where a person validates them once and the model learns. After a few weeks of feedback, the manual-review rate typically drops into single digits. We design for confidence-scored extraction, never blind trust — because a wrong figure silently entered into a finance system is worse than no automation.
The finance-specific case — extracting invoice data into your ledger — is covered in depth on the invoice automation page. The same technique applies to forms, applications, delivery notes, and any structured document flow, which is the operations view.
The tools
For generation: template engines and merge tools, usually driven from Make, n8n or a lightweight backend, outputting to Google Docs, Word or PDF, with e-signature via DocuSign, PandaDoc or Adobe Sign. For extraction: Google Document AI, AWS Textract, Rossum, or Dext and AutoEntry for finance documents specifically. The right combination depends entirely on document type and volume — we're tool-agnostic and take no commissions.
Cost
- Focused build (generation for one document type, or extraction for one flow): £4k–£8k fixed.
- Broader engagement (generation and extraction across several document types, integrated): £8k–£20k fixed.
Fractional CAO retainer afterwards: £5k–£15k per month. We bill flat fees, never hourly, and take no platform commissions. The £1,500 Discovery Sprint gives you a costed plan first. Estimate ROI with the automation ROI calculator.
When document automation isn't worth it
- Genuinely low volume. A handful of documents a month either direction may not justify the build.
- Every document is unique. If there's no repeatable template or structure, generation has nothing to work from.
- Messy source data. Generation from bad data just produces consistent bad documents. Fix the data first.
How this fits with the wider Watermelon model
Document automation is a capability that shows up across functions. It underpins contract automation and the legal & compliance function, the extraction side underpins invoice automation and the operations function, and generation supports sales (quotes, proposals) and HR (contracts, letters). To estimate ROI first, use the automation ROI calculator.
Ready to talk?
Bring the document you generate or process most often. The free 30-minute call will tell you what we'd automate first and what it would save.
Stop being a human mail-merge
30 minutes. No deck. Bring the document you generate or process most often. We'll tell you what we'd automate first and what it would save.