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Pulling data out of invoices, delivery notes, orders or forms and into your management software.
Tasks that eat hours today — copying data between programs, answering the same emails, preparing quotes, adding products — handled by AI connected to the tools you already use. With a human check wherever it matters.
Examples of what saves the most time in small and mid-sized businesses.
Pulling data out of invoices, delivery notes, orders or forms and into your management software.
Sorting incoming email and drafting replies so you only need to review and send.
Producing a draft quote from the customer’s request and your price list.
Writing titles, descriptions and attributes from technical data, ready to review and publish.
An assistant that answers using your own site and documents, and hands over to a person when it does not know.
Data flowing on its own from the website to the CRM, from the CRM to invoicing, or from a form to a spreadsheet.
Regular summaries of sales, orders or enquiries delivered to your inbox.
We look at how you work today, how much time each task takes and where manual errors happen.
We tell you which tasks are worth it, which are not, and how much human review each one needs.
We connect the AI to your tools and test it on real cases before it goes to work.
We review results, fix failures and refine the instructions so accuracy keeps improving.
It depends on the task and your systems. What matters most:
You get a fixed written quote with the scope and timescales spelled out. Free and with no obligation.
How much a website costs, explainedSorting emails is simpler than interpreting documents in wildly different formats.
If your software has an API or can export data, integration is far more straightforward.
AI models are paid per use. We estimate the monthly cost from your real volume before starting.
An automation that acts on its own needs more testing and safeguards than one that prepares drafts.
If the process is unclear to people, AI will get it wrong faster. Tidy it up first.
AI can be confidently wrong. Where customers or money are affected, there must be a review step.
Before passing personal data to an AI provider, check where it is processed and under what safeguards.
For some tasks the time saved does not justify the cost of building and maintaining them. We will tell you.
What can be automated, what happens to your data and what it costs to run.
Mainly repetitive tasks involving text and data: sorting emails, extracting data from invoices or orders, drafting replies or quotes, writing product descriptions, summarising documents and answering common customer questions.
No. We build them into the tools you already use, such as email, a spreadsheet or your CRM, and show you how to review what the AI does.
It can be, with the right provider and configuration. We check where data is processed, whether the provider uses it to train its models and what information is best not sent, and design with GDPR compliance in mind.
In the automations we build, AI takes over the mechanical tasks so your team can spend that time on customers and decisions. Tasks that need judgement or carry risk still go through a person.
Yes. An assistant that answers using your website and documents rather than making things up, and that passes the conversation to a person or to WhatsApp when needed.
Models from providers such as Anthropic, OpenAI or Google, connected to your software through their APIs. We choose based on the task, the cost and where data is processed.
There are two costs: usage of the AI model, which depends on task volume, and maintaining the integration when your software changes. You get a monthly estimate before we start.
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See serviceDescribe the process and we will tell you whether automating it makes sense, how we would do it and what it would cost.