AI audit workshop

AI workflows

AI Workflow Automation, Built and Run for You

AI workflows that read, decide and act across your systems, built and then run for you.

01

AI workflows that keep working after launch

An AI workflow is an automated process where an AI model handles the steps that used to need a person's judgement: reading an email or document, deciding what it is, extracting the details, and drafting a reply or record. Rules and ordinary automation handle everything around it, and a person reviews anything the AI is not sure about.

We build AI workflows on n8n, Zapier and Make or custom code, connected to the systems you already use. Then, unlike a one-off project, we keep running them: monitoring every day, fixing what breaks, tuning prompts as your cases change, and reporting what the workflows saved. For open-ended tasks that need an AI to plan its own steps, see AI agent development.

AI workflow: a trigger starts an AI step, a confidence check sends confident results to your systems and unsure ones to a person, all monitored and improved as a managed service

02

AI workflows we build and run

  • Email and inbox triage

    Incoming email read, classified, routed to the right person or queue, with a draft reply ready.

    • Intent and urgency detected
    • Attachments filed
    • Draft replies for approval
  • Document processing

    Invoices, orders, forms and contracts read, checked against your rules and entered into your systems.

    • Data extracted and validated
    • Mismatches flagged
    • Straight into ERP or CRM
  • Lead qualification

    New leads enriched, scored and routed, with a short summary for the salesperson.

    • Company and fit research
    • Scoring you control
    • CRM updated automatically
  • Support replies

    Common questions answered from your own help content, with harder ones handed to a person.

    • Answers grounded in your docs
    • Escalation rules
    • Every reply logged
  • Report generation

    Weekly and monthly reports drafted from your data, with the commentary written for you to check.

    • Figures pulled automatically
    • Narrative drafted
    • Sent on schedule
  • Data clean-up and enrichment

    Messy records standardised, deduplicated and enriched as they arrive, not in a yearly clean-up.

    • Names and addresses standardised
    • Duplicates caught
    • Missing fields filled

03

One-off build or managed AI workflow service?

AI workflows drift: inputs change, models are updated, new edge cases appear. That is why we offer them as a managed service as well as a one-off build.

One-off buildManaged AI workflow service
What you getThe workflow, documented and handed overThe workflow, plus us running and improving it
MonitoringYour teamDaily, by us, with alerts on failure
When something breaksYour team fixes it, or a new request to usFixed by us, usually before you notice
Prompt and rule tuningNot includedOngoing, as your cases change
New cases and small changesNew projectIncluded within the plan
ReportingNoneMonthly: volumes, time saved, exceptions
PricingFixed project feeSetup fee plus a monthly plan scoped to your workflows
Best forStable processes with an in-house technical ownerTeams that want the outcome without maintaining it

04

How we set up an AI workflow

Pick the workflow

The high-volume task where AI saves the most time, with examples of good output.

Build and test on real cases

Accuracy measured on your past examples before anything runs live.

Launch with a person in the loop

Low-confidence cases go to review; the threshold moves as accuracy is proven.

Run, monitor, improve

On the managed plan we watch it daily, fix failures, tune it monthly and report the results.

05

AI workflow automation questions

What is an AI workflow?
An automated process where an AI model handles the judgement steps, such as reading, classifying, extracting or drafting, while rules and ordinary automation handle the rest, and a person reviews uncertain cases.
What is the difference between AI workflows and agentic workflows?
An AI workflow follows steps you define, with AI inside some of them. An agentic workflow lets the AI decide its own next steps toward a goal. Most business processes are best served by AI workflows, with agents reserved for open-ended tasks.
How is AI workflow automation different from regular automation?
Regular automation follows fixed rules and breaks on anything unexpected. AI workflows can handle unstructured input, such as emails, PDFs and free text, and pass genuinely unclear cases to a person.
What does AI workflow automation as a service include?
We build the workflows, then run them for you: daily monitoring, fixing failures, tuning prompts and rules as your cases change, small changes and new cases, and a monthly report on volumes and time saved.
Which tools do you build AI workflows with?
n8n, Zapier, Make, Power Automate or custom code, connected to models from OpenAI, Anthropic or Google. We choose based on your systems, data sensitivity and volume.
Is our data safe in an AI workflow?
We use business API offerings that do not train on your data, can self-host the workflow platform in your own cloud, and keep sensitive steps inside your environment.

Tell us which task your team repeats every day

Describe the task and roughly how often it happens. We will come back with how an AI workflow would handle it, what it would save, and what a managed plan would cover.

A reply from a consultant, usually within one working day.

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Get started

Tell us where the week goes

Two weeks, fixed scope, a costed plan at the end. No obligation after it.

  • We map your workflows and where the time actually goes
  • You get the three that cost the most, with what automating them takes
  • Delivered as a document, in 5 to 7 working days

We reply from [email protected], usually within one working day. We do not add you to a mailing list.

Tell us where the week goes

A digital audit maps your workflows, names the three that cost the most time, and prices what it takes to automate them. No obligation after it.