Take the admin out of the day.

An AI agent is a piece of software that can carry out tasks on its own, reading emails, updating records, sending follow-ups, connecting systems. Think of it as a digital team member that handles the repetitive work so your people don't have to.

Yes. Happy Webs is based in Tameside, Greater Manchester, and works with ambitious UK SMEs across sectors. We build practical AI agents for professional services, retail, hospitality, trades, charities, manufacturers and any business with a repeated workflow worth improving.

Good first workflows include enquiry triage, quote follow-up, supplier invoice checks, document routing, job status updates, CRM cleanup, customer scheduling and recurring reporting. We start with one workflow so the return is clear before adding more automation.

Not at all. We set everything up and train your team. The tools we build are designed to be as straightforward as using email.

The aim is to free capacity by automating repeatable tasks. Some businesses can defer an admin hire; others still need a person for judgement, relationships or hands-on work. We compare the actual workload and costs first. See what to automate before you hire.

Simple automations can be live within 1 to 2 weeks. More complex setups covering multiple workflows typically take 4 to 8 weeks.

Most things, Sage, Xero, QuickBooks, Google Workspace, Microsoft 365, CRMs, job management tools, and more. If the system has an API or even an email interface, we can usually connect to it.

Before building, we agree which data the workflow needs, who can access it, where each provider processes it and how long it is retained. Sensitive actions have explicit approval points. We document those choices with you rather than assume every provider or workflow has the same protections.

We start with an audit before building anything. If AI isn't the right fit for a particular task, we'll tell you honestly and suggest alternatives. No hard sell.

It depends on the workflow, volume and exception rate. We establish a measured baseline during discovery, estimate the likely return, and compare the live result with that baseline before expanding the automation.

We built a production workflow engine for a manufacturing client that automates everything from manager assignment and customer scheduling to glass ordering and delivery notes. Jobs flow through 8 production stages with automatic triggers at each step, glass orders go to suppliers on schedule, customers get scheduling links automatically, and managers only get involved when a genuine decision is needed. The result: nothing falls through the cracks, even when the team is flat out. See the full Kingsland Fabrications case study.

Yes, we built a conversational AI assistant for a fabrication business that shop floor staff use every day. They ask questions like "where's job QU-1647?" or "what's due this week?" and get instant answers. It can also start and stop tasks, log quality issues, and move jobs between production stages, all through natural conversation with built-in safety confirmations. Full detail in the Kingsland Fabrications case study.