AI workflow builds

One repetitive process. One working AI workflow.

Choose the task that eats your team's hours or slows down your sales. We build an AI workflow on the tools you already pay for, with a person checking in the right place, and measure the result.

Win more work

Respond faster, quote sooner, follow up every time.

Small firms often lose work not on quality but on speed and follow-up, because the same people doing the work are also doing the selling.

Enquiry response

New enquiries get a tailored draft reply within minutes, with the right qualifying questions, ready for a person to approve and send.

Quote drafting

Customer requests become a first-draft quote in your format, with standard terms, ready for a person to check the same day.

Proposals and tenders

Structured inputs become a first draft in your house style, with your standard sections and past answers, ready for an expert edit.

Follow-up on open quotes

Quotes and proposals that have gone quiet are flagged each week, with a short follow-up drafted for a person to send.

Client account briefs

Before a client meeting, their history and open items are pulled into a one-page brief, and any open questions to raise.

Client and customer queries

Incoming questions get a draft reply in your tone from your own knowledge base; a person approves before sending.

Run leaner

Take the repetitive work off your team's desk.

From the office to the warehouse: the common thread is rules-based work that eats hours.

Purchase order intake

Orders arriving by email are read, checked against your price list and keyed into a draft for approval.

Supplier email triage

Supplier emails are sorted by urgency, with delivery dates and changes pulled into a daily summary.

Document intake

Documents are checked against a list as they arrive; missing items are flagged and a chaser email is drafted.

Meeting notes to actions

Notes or transcripts become a summary, an action list with owners and a follow-up email ready to send.

Internal knowledge assistant

Staff get answers from your policies and procedures, with links to the source, instead of interrupting colleagues.

Data to plain-English insight

A spreadsheet or report becomes a short summary of trends and exceptions for managers who don't have time to dig.

How a build runs

Two to four weeks, fixed scope, fixed fee.

  1. Discover

    We map the process with the people who do it and record a time baseline.

  2. Design

    We agree what the AI does, where a person reviews, and what data it may use.

  3. Build and test

    We build on your existing tools and test on real examples until it's reliable.

  4. Hand over

    Documentation, a short training session, and a 30-day check on time saved.

Founding clients

Three places this quarter, in return for publishing the results.

We're taking three founding clients for workflow builds at a reduced fee. In return, we publish the measured before-and-after results as a case study, named or anonymised, your choice.

Built responsibly

Your tools, your data, your people in charge.

  • Built on what you already use, such as Microsoft 365 and Copilot, ChatGPT Team or Claude, so there's usually nothing new to buy
  • Data stays inside your approved tools; nothing is copied to systems you don't control
  • A human review point for anything that reaches a client, customer or supplier
  • Documented so your team can run and adjust it without us
  • Measured: time per task before and after, reported at 30 days

Next step

Which task would you hand to AI first?

Bring one process to a free briefing. We'll tell you honestly whether AI can help, and roughly what it would take.

Get your free AI readiness score