You know which hour of the day is copy-paste, and nobody on the team can build the fix.
The same emails, the same spreadsheet, the same template — every day, in the same order.
CRM updates, follow-up emails and meeting scheduling eat the time you would spend selling.
Data entry, status updates, onboarding checklists and the monthly report in Excel.
Numbers from office-work surveys — most of the repetitive work people describe is email, data entry and status updates, which is exactly what a workflow does well.
of office workers feel they constantly repeat the same tasks; 4.5 hours a week go to work that could be automated.
UiPath, 4,500 office workers ↗to key one email into a spreadsheet by hand, against about 40 seconds with automatic extraction — 17 hours a week at 200 documents.
Humans Behind Automation ↗of employees want email automated; 59% say data entry and 57% say scheduling calls and meetings.
UiPath ↗want data collection automated, 36% approvals and 32% sending status updates.
Smartsheet ↗admit manual data entry has led to costly errors, delays or missed opportunities.
Parseur, 2025 ↗of employees experience burnout because of repetitive tasks.
Parseur, 2025 ↗Put your monthly volume into the calculator and see hours and dollars.
Automating repetitive tasks means taking the work that follows the same rule every time — sort the inbox, copy the numbers from a PDF into a spreadsheet, fill in the quote template, send it, set a reminder, update three systems with the same status, build the Friday report — and handing it to a workflow that runs it on its own. Office-worker surveys put hours a week per person into this kind of work. Almost none of it is judgement; it is transport between an inbox, a document and a system.
Wireclad builds custom workflows around the tools you already use — Gmail or Outlook, Google Sheets, HubSpot or Pipedrive, Slack, DocuSign — rather than a new platform. Workflows in n8n connect them through their APIs; a language model classifies messages, extracts fields from any layout, drafts follow-ups and writes the summary on top of the numbers. Anything a client will read is approved by a person with one click, and anything the model is unsure about is checked rather than guessed.
Data is in the right place within seconds of arriving, and nobody retypes it. Quotes and contracts come from the template in minutes instead of being rebuilt. Follow-ups go out on time, statuses agree across systems and the weekly report writes itself. Your team keeps the conversations, the exceptions and the decisions.
The run path of a typical routine: an email or a file comes in, data goes where it belongs, documents go out and the status is mirrored everywhere. Anything unusual stops and goes to a person.
The Gmail or Outlook inbox and the shared drop folder — every message, PDF or scan starts its own run.
Order, invoice, enquiry, complaint or noise — the model labels it, picks the owner and the route, and applies the label in the inbox.
Emotional, unusual or legal-sounding messages go straight to a human with a summary. Routine items continue.
OCR plus a language model read names, amounts, dates and items into a fixed schema, on any layout.
Appends the row to Google Sheets or Airtable and updates the deal in HubSpot or Pipedrive.
Low-confidence fields are highlighted and sent for a quick check instead of being saved silently.
Quote, invoice or contract from your Google Docs or Word template with data from the CRM, exported to PDF.
The document goes to its owner in Slack for a one-click OK, then to the client — or to DocuSign for signature.
A meeting request gets a Calendly or Cal.com link; the invite lands in Google Calendar without the back-and-forth.
No reply after the set number of days: the model drafts a short personalised follow-up and the CRM task moves on.
A status change in one system is written to every other — CRM, task tracker, spreadsheet.
Pulls the numbers from the APIs, builds the table and writes a plain-language summary for Slack or email.
A new hire triggers accounts in Google Workspace, the Slack invite and tasks in Asana or ClickUp.
Typical minutes per document in a small team. Your own numbers go into the calculator below.
Based on 22 min by hand and 2.5 min with the flow per item, from the table above.
The flow sorts, extracts, drafts and reminds. People keep the judgement and everything a client will read.
Quotes and contracts are drafted by the flow and approved by a person before they leave.
The classifier hands them over with a summary instead of answering.
Fields the OCR or the model is unsure about are checked, not guessed.
Anything that needs judgement goes to the owner of the deal.
A short periodic review of the automatic results, with a log of every run.
When the routine changes, the rules change with you — the workflow is yours to adjust.
Flip a switch to hand a step to the flow or take it back.
Benchmarks from UiPath’s office-worker study, Smartsheet’s automation survey and Parseur’s data-entry report: hours of routine a week handed to a workflow, with people checking rather than typing.
We map the process as it runs today, count the minutes and agree what the flow must never do on its own.
A working flow on your real data, in a sandbox. You see every run and every exception.
Edge cases, approvals and alerts, then the switch-over — with the old way kept as a fallback.
Monitoring, fixes when a vendor changes a format, and a monthly report of hours saved.
The ones you can describe as a rule: sorting the inbox, copying data from emails and PDFs, filling templates, follow-ups and status updates. They are frequent, measurable and boring, so the gain is visible in the first week.
Zapier is fine for simple two-step links. n8n handles branching, loops, language-model steps and large volumes, and can run on your own server with no per-task fee. We use what fits the task; the workflow stays yours.
It depends on volume, so we do not promise a figure. Surveys put the automatable routine at several hours a week per person; the calculator above with your own volumes gives a range for your team.
No. The flow is documented, every run is logged, and errors stop with a message that says what happened. Small rule changes are made in a visual editor; we handle anything structural.
Yes. The language model can run locally or through an API with no-training terms, and the workflow runs on your own server or cloud account. Documents never leave your environment unless you choose a hosted model.
There is no platform fee from us; you pay only for the tools you already use and any model usage. When the process changes, the rules change with it — nodes are edited, not rebuilt.
Anything a client will read is approved by a person first — the flow drafts, a human clicks OK. Automatic replies are limited to the cases you define, and everything else is handed over with a summary.
Describe it in two sentences — we reply within a day with a workflow sketch.
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