Back-office automation built on documents and structured data: OCR with human-in-the-loop, RAG over internal docs, vector-store choices, vision-model extraction, catalogue scraping, and the finance, HR and compliance workflows that run on top of them.
The guides other posts cite most. Read these first if you are new to the topic.
Case studies from this pillar, with the numbers.
How a 35-person UK groundworks contractor reduced building regulations submission prep from 3 days to 4 hours per project using OCR extraction, vision-model parsing, and an automated assembly pipeline
Read guideFrom raw Zoom recording to formatted minutes, action log, and Companies House-ready resolutions in under 10 minutes — the pipeline a 22-person UK professional services firm runs after every board meet
Read guideUK ops managers spend 4 hours/month generating payslips manually in Xero. The LLM pipeline that produces HMRC-compliant payslips from approved timesheet data in under 30 minutes.
Read guideUK ops managers spend 90 minutes per employee change drafting variation letters from outdated Word templates. The LLM pipeline that generates legally correct variation letters from HRIS data in under
Read guideUK SMEs leave £1.2B in Innovate UK grants unclaimed each year. The LLM-assisted application pipeline that cuts 40-hour bids to under 8 hours of founder time.
Read guideA 40-person UK firm spent 11 hours fortnightly reconciling timesheets, project codes, and payroll entries by hand. The extraction pipeline that reduces this to under 20 minutes.
Read guideA UK distributor with £180k in 60-day overdue invoices spent 3 hours weekly writing the same five chase letters. The automated dunning pipeline that recovers 40% of aged debt.
Read guideUK SMEs auto-renew 34% of supplier contracts they intended to renegotiate. The pipeline extracting renewal dates, key clauses, and obligation triggers from PDF agreements automatically.
Read guideUK SMEs filing quarterly VAT returns manually spend 8 hours on a deterministic process. The Xero-to-HMRC MTD pipeline that handles it in under 30 minutes.
Read guideUK ops teams spend six hours a week extracting orders, enquiries, and requests from email by hand. The LLM extraction pipeline that processes an inbox in seconds per message.
Read guideThe automated client onboarding pipeline for UK professional services: engagement letters, KYC questionnaires, and signed SOWs delivered in under 30 minutes.
Read guideUK ops managers spend 4 hours a week on manual expense processing. The OCR and HMRC-validation pipeline that handles a 120-claim month in under 30 minutes.
Read guideThe document automation pipeline taking FCA-regulated UK customer KYC from 5 days to under 4 hours: ID checks, AML screening, and an audit trail that passes inspection.
Read guideThree-way PO matching for UK SMEs: the AI pipeline that validates purchase orders against invoices and delivery notes to stop bad payments before they run.
Read guideUK SMEs spend 6–9 hours of ops manager time on every new hire's paperwork. The pipeline that auto-generates offer letters, right-to-work checks, and policy packs in under 30 minutes.
Read guideUK finance directors spend 12 hours manually assembling board packs. The pipeline pulling live KPIs from Xero, HubSpot, and Sheets into a branded PDF.
Read guideTranscript-to-CRM pipeline: extract BANT, action items, and next steps from sales calls automatically and write structured fields to HubSpot or Salesforce.
Read guideThe DSAR pipeline that UK SMEs miss: automated request intake, data extraction across systems, redaction, and ICO-compliant response within 30 days.
Read guideLLM-assisted tender responses for UK SMEs: question mapping, compliance library reuse, and the review layer that stops hallucinated capability claims.
Read guideAI invoice extraction beyond OCR: multi-field validation, PO matching, anomaly detection, confidence queues, and ERP integration for UK SMEs at scale.
Read guideHow to build a proposal generation pipeline that assembles scoped, priced documents in minutes from discovery inputs, and why speed-to-proposal drives win rate.
Read guidepgvector runs on Postgres you already pay for, Pinecone auto-scales, Qdrant wins on filtered retrieval. The wrong choice costs a refactor six months later.
Read guideA GPT-4o pass over an NDA costs £0.02 and flags 80% of the clauses a junior solicitor would raise, leaving a structured human review queue for the rest.
Read guideHow to build a production RAG knowledge agent over HR policies, SOPs, and compliance docs: chunking, metadata filters, and hallucination guardrails.
Read guideArchitecture for scraping, normalising, and deduplicating product catalogs at SME scale: selectors, schedules, dedup hashing, and anti-block strategy.
Read guideBuild a document classification layer that routes PDFs, images, and scans to the right extraction model, with confidence thresholds and fallback queues.
Read guideWhy 99% extraction accuracy still fails in production, and the queue-and-confidence pattern that makes hybrid OCR genuinely usable for UK SMEs.
Read guideVector search isn't always the right call. A field guide for UK SMEs deciding when pgvector earns its complexity and when Postgres LIKE wins.
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