Data entry is not the problem. It is the symptom. The problem is that your business runs on five systems that do not talk to each other, so a person sits in the middle re-typing. Automate the typing without fixing the seams and you have built a faster way to keep the systems disconnected. Here is the honest guide: where Zapier is enough, where Power Automate breaks, and where a custom integration ships in three weeks for less than the annual UiPath licence.
Walk into any UK SME and somebody is doing data entry that does not need to exist. A bookkeeper copying figures from a bank statement into Xero. A recruiter retyping a CV into Bullhorn. A property manager keying tenancy data into Reapit, then again into the deposit scheme, then again into the right-to-rent compliance log. A retail manager counting stock on a clipboard and typing it back at the till at 9pm. None of these people trained for the job they are doing. None of these tasks would survive a competent integration audit. All of them persist because nobody costed them.
The maths is consistent across sectors. A person doing data entry full-time costs roughly £28,000 to £42,000 fully loaded, and they do the work of an AI extraction pipeline that costs £4,000 to ship and £50 to £200 a month to run. The investment pays back in four to eight months on a single role's worth of work. The second-order benefit (the person now does the thing they actually trained for) is harder to value but usually larger.
Before any data-entry automation, there is almost always a workbook (sometimes a shared Google Sheet) acting as the intermediary between two systems that should be talking directly. Common shapes:
This workbook breaks at predictable points: the source system changes its export format, the destination system tightens validation, the person who built the mapping leaves, anybody attempts to do it from holiday, and the audit asking "how do you know the data in system B matches system A". The workbook is a fragile, undocumented integration layer that nobody is paid to maintain.
These are illustrative shapes drawn from UK SME workflow patterns. The fixed-quote bands are the real ranges we quote for builds of this shape; the workflows described are the patterns that fit each context. The pattern that creates payback is the volume of repeated entries times the cost per entry, minus the cost of the residual exception queue.
Profile: a 10-staff practice doing outsourced bookkeeping for around 150 clients, spending 25 to 40 hours a week on data entry that is not Dext-shaped. Client-side adjustments, intercompany journals, payroll postings, manual VAT corrections. The shape that fits: an automation that pulls from the practice's source systems (bank feeds, client portals, payroll software), structures the data, drafts the journal, posts to the client's Xero or Sage. Typical band: £5,000 to £10,000 fixed quote. Expected outcome: a junior's worth of capacity recovered inside three months.
Profile: a 6-fee-earner conveyancing firm opening 30 to 80 files a month. Each one needs client details, property details, lender details, fee scale, ID-check data and disbursement budget entering into the case management system (Proclaim, LEAP, ALB), often from email instructions and PDF attachments. The shape that fits: an automation that reads the inbound instruction, extracts the structured data, populates the matter file, and surfaces the bits that need a fee-earner to check. Typical band: £6,000 to £12,000 fixed quote. Expected outcome: file-opening admin cut from 90 minutes to 15.
Profile: a 12-consultant agency receiving 200 to 600 CVs a week (inbound applications, sourced candidates, referrals). Bullhorn or Vincere will parse a CV but the parsing is imperfect, and the cross-checking against existing records, the LinkedIn enrichment, the skill-tagging and the role-fit scoring are still manual. The shape that fits: an automation that does all of it end-to-end and surfaces a ranked shortlist per live role. Typical band: £6,000 to £12,000 fixed quote. Expected outcome: time-to-shortlist cut from days to hours and placement velocity lifted.
Profile: a letting agent with 600 managed properties signing 15 to 40 tenancies a month. Each one needs data entered into the management system (Reapit, Acaboom, Goodlord), the deposit scheme (DPS, MyDeposits, TDS), the right-to-rent compliance log, and the rent-protection insurance system. The shape that fits: an automation that reads the signed tenancy agreement and the ID documents once, then populates all four destinations. Typical band: £6,000 to £14,000 fixed quote. Expected outcome: the property manager freed from a Friday spent re-keying, and compliance drift between systems stopped.
Profile: a 5-site specialist retailer or a wine merchant running stock counts weekly or monthly. Most use a clipboard, then type it back into Shopify, Lightspeed or a custom inventory system at the end of the day. The shape that fits: an automation that lets staff count on a phone with barcode scanning and voice input, reconciles against the system in real time, surfaces variances against shrinkage thresholds. Typical band: £4,000 to £10,000 fixed quote. Expected outcome: stock-take time cut 60 to 80 percent and routinely uncovers £5,000 to £30,000 a year of unbooked shrinkage that was hiding in the manual reconciliation.
Four routes get you to data entry automation. The honest comparison, no asterisks:
| Route | When it fits | Real cost |
|---|---|---|
| DIY (Zapier, Make / Integromat) | Both source and destination are clean SaaS with stable APIs. The data is already structured (form submissions, payment events, CRM updates). Simple if-then routing. Fragile at scale and prone to silent breakage. | £20 to £100/mo + your time |
| Power Automate (Microsoft 365) | You are already Microsoft 365, you have someone willing to own it, the source data lives in Outlook, SharePoint, Excel, Forms or Teams. AI Builder adds document extraction. Capable but slow to build and maintain. | £10 to £40/user/mo + build effort |
| Enterprise RPA (UiPath, Automation Anywhere) | Large enterprise with legacy systems that have no APIs. You have an internal automation centre of excellence. Bots mimic human clicks; fragile and expensive but the only route for some legacy environments. | £15,000 to £80,000/yr licence + implementation |
| Custom build (us, or an equivalent shop) | Data is unstructured (PDFs, photos, varied formats), or destination is a sector-specific system (Proclaim, Reapit, Bullhorn, an industry ERP), or you need confidence-thresholded routing with a human review queue. Cheaper and more reliable than enterprise RPA for SME scale. | £3,000 to £15,000 fixed quote |
We turn down data-entry automation work that does not fit. The patterns:
"Automate everything our admin team does." The honest answer is that 30 to 60 percent of admin work can be automated; the rest needs judgement, soft skills or local context an AI cannot have. Targeting the wrong 30 percent (the bits that have variation, exceptions or stakeholder management) produces a tool that gets in the way. Pick the highest-volume, lowest-judgement workflow and start there.
"Build the automation against the system we are about to replace." A common trap: scoping an automation against a legacy CRM or ERP that is already mid-tender for replacement. Six weeks after the build ships, the destination changes, the automation needs rebuilding, and the integrator looks like the bad guy. If a system migration is on the roadmap inside 18 months, automate the source side and wait for the destination.
"An RPA bot that types into the system the same way a human does." This is the UiPath pattern and we will almost always refuse it. UI-mimicking bots break on every cosmetic change to the destination system, are slow, and hide an underlying API that probably exists. Where the API truly does not exist, we will do it. Where it does, we use it.
Every project is scoped and fixed-quoted before any work starts. The bands below are the real ranges we quote for builds of this shape.
| What it is | Timeline | Fixed quote |
|---|---|---|
| Single focused workflow (one source, one destination) | 2 to 4 weeks | £3,000 to £8,000 |
| Document extraction with classification and routing | 3 to 6 weeks | £4,000 to £12,000 |
| Multi-system data entry assistant with review queue | 4 to 8 weeks | £6,000 to £15,000 |
| Sector-specific data platform (legal, property, recruitment) | 6 to 12 weeks | £12,000 to £40,000 |
| Ongoing tech partnership (we run, monitor, improve) | Monthly, no lock-in | £450 to £1,500 / month |
The general shape is on the AI implementation page. The ongoing version, where we keep the automation working as source systems change their formats, is on the tech partnership page. The bigger custom platforms sit on app builds and the broader portfolio is on projects.
Data entry is upstream of most other automation work. The two guides that come up most often in the same conversation:
A focused build that takes one data-entry workflow (CV parsing into your ATS, client books into Xero, tenancy data into your property system, stock counts into your inventory) off the team runs £3,000 to £8,000 fixed-quote. A broader build covering multiple systems and document types is £6,000 to £15,000. DIY routes (Zapier, Make, Power Automate) cost £20 to £100 a month plus your time and break when the data is irregular. RPA platforms like UiPath start at five-figure annual licences and assume an internal automation team.
Zapier is excellent for moving structured data between SaaS tools (a typeform submission into a CRM, a Stripe payment into an accounting system). It is fragile when the data is unstructured (PDFs, photos, varied document formats) and slow to recover when a source system changes a field. Use Zapier where the source and destination are both clean SaaS with stable APIs and the data is already structured. The custom build conversation starts when you are extracting from unstructured documents, normalising data from multiple systems, or running anything that needs a confidence threshold and human review.
RPA stands for robotic process automation: software that mimics a human clicking around a screen. UiPath and Automation Anywhere are the market leaders. For large enterprises with legacy systems that have no APIs, RPA can be the only option. For UK SMEs it is almost always the wrong tool. The licences are expensive, the bots are fragile (any UI change breaks them), and the underlying problem (system fragmentation) goes unsolved. We almost always recommend a properly-integrated API-based automation instead.
A single focused workflow (one document type, one destination system) ships in two to four weeks. A broader automation involving multiple document types or destinations takes four to eight weeks. The work is almost never the AI, which is mature and well-understood. It is the edge cases: the supplier whose PDFs are scanned upside down, the legacy system that needs SFTP not API, the document that comes in three different formats depending on the originator.
Yes, sometimes, and the design needs to assume it. Modern document AI gets field-level accuracy in the mid 90s on standard documents and higher on structured ones (well-laid-out invoices, forms, CVs). The honest design uses a confidence threshold: high-confidence extractions post straight through, low-confidence ones queue for human review with the suspect fields highlighted. The human queue ends up being 5 to 20 percent of the work the team used to do, and it is the work that actually needed human attention anyway.
Yes, and this is usually the point. The most valuable data entry automations are the ones that read from one place and write to several: a CV gets parsed once and lands in your ATS, your LinkedIn list and the candidate database; a tenancy agreement is read once and populates your property management system, the deposit scheme, and the right-to-rent compliance tracker. The build cost is mostly in the integrations, not the AI. We connect to whatever you already use: Xero, Sage, Bullhorn, Reapit, Salesforce, custom databases. Where an API does not exist, we work around it.
Tell us what the source is, what the destination is, and how often a person sits in the middle. We will tell you honestly whether Zapier or Power Automate gets you there, and if a custom build is the right call, scope and quote it before any work starts.
Email oliver@digitalsignet.com