Stop doing it manually. We will build the workflow.

AI workflow automation means putting a language model inside a normal automated process, not replacing the process with a chatbot. The workflow still has defined triggers, steps and audit records. The AI handles the parts that used to need a person reading something: classifying a request, extracting data from a document, drafting a reply, or summarising a thread.

Start with joiners and leavers. It runs constantly, it touches identity, devices and licences, and getting it wrong costs you security and money. After that, ticket routing and approval chains give the next clearest return because both are pure waiting time today.

You choose. Everything we build is documented and handed over so your team can own it, and we can stay on for monitoring, fixes and changes as your systems move. There is no lock-in either way, and we do not hold the credentials hostage.

A platform gives you the plumbing, not the logic. The cost sits in working out what your process actually is, where your data lives, and how the systems authenticate to each other. We build on tools you already own or on n8n and Python, so you are not paying enterprise licensing for workflows you could run yourself.

Yes. When no-code tools like n8n cannot handle the logic, we write custom Python scripts. Common uses include data transformation, API integrations with complex authentication, scheduled jobs, and connecting legacy systems. Python runs on your servers, in AWS Lambda, or as Azure Functions.

Absolutely. Serverless is ideal for event-driven automation that needs to scale: processing webhooks, transforming data between systems, or running scheduled tasks. We build, deploy, and maintain Lambda functions that integrate with your existing infrastructure. Pay only for what you use.

Common automations include user onboarding and offboarding, ticket routing, alert escalation, report generation, and integrations between tools that do not natively connect.

Managed IT is ongoing support: helpdesk, monitoring, incident response. Workflow Automation and AI is engineering: building custom tools, scripts, AI integrations, internal apps, and automations that eliminate manual work. Many clients use both together.

Yes. If the feature you need is locked behind an enterprise SKU you cannot justify, we build it at a fraction of the cost. We have delivered governance controls, approval workflows, and audit tooling that works on your existing licensing.

It depends on complexity. Simple n8n workflows might be a few days of work. Custom Python tooling or org remapping software is typically a 2 to 4 week engagement. A typical automation project runs £4,000 to £20,000 (or $5,000 to $25,000) depending on scope. We scope everything before quoting.

Yes. We embed AI into n8n and Python workflows for whatever use case fits: document processing, data enrichment, content generation, classification, automated responses, or summarisation. AI slots into your existing workflows rather than requiring a new platform.

Yes. We build lightweight internal tools and edge-case applications using AI-assisted development. Think approval portals, data dashboards, onboarding wizards, or audit interfaces. Built fast, documented, and handed over.