Every Hour Your Team Spends on Manual Work Is an Hour They're Not Growing Your Business.

AI workflow automation is the design and deployment of automated systems that replace manual, repetitive business processes using workflow orchestration tools (n8n, Make) combined with AI models (OpenAI, Anthropic). Unlike simple rule-based automation, AI workflow systems can handle variable inputs, classify documents, route decisions, generate written content, and manage exceptions — making them suitable for complex business processes, not just simple data transfers.

We build primarily on n8n and Make (formerly Integromat) for workflow orchestration — both support complex multi-step workflows, branching logic, error handling, and API integrations with 500+ tools. For AI components, we integrate OpenAI GPT-4 or Anthropic Claude depending on the use case. We connect to your existing tools (HubSpot, Salesforce, Slack, Google Workspace, Stripe, etc.) via their APIs and webhooks.

Simple workflows (data sync between two tools, triggered notifications) can be built and deployed in 1–2 days. Complex multi-step workflows with AI components typically take 1–2 weeks per workflow. A full automation programme covering 10+ workflows across multiple departments typically deploys over 4–6 weeks. We prioritise by impact — your highest-value workflows go live first.

No. We build self-monitoring automation systems. Error alerts go to your nominated email with plain-English explanations. For simple adjustments, we train your team. For structural changes, clients on our monthly plan get ongoing technical support included. Most clients have no technical resource managing their automation after the handover period.

Any process that is repetitive (done more than once a week), rule-based (follows a consistent decision pattern), and data-driven (moves information between systems). Common examples: CRM data entry and enrichment, email responses and routing, invoice processing, contract generation, onboarding sequences, social media scheduling, reporting and dashboards, lead scoring, and customer support ticket routing.

ROI is measured in three ways: time recovered (hours/week × hourly cost), error reduction (cost of errors eliminated), and revenue acceleration (processes that were bottlenecked by manual work). Most clients recover 40+ hours per week within 60 days. At $50–$100 fully-loaded hourly cost, that is $100,000–$250,000 in annual value recovered. The Automation Growth package typically achieves full ROI payback within 6–8 weeks.

Yes. n8n and Make support native integrations with 500+ tools including HubSpot, Salesforce, Pipedrive, Slack, Google Workspace, Microsoft 365, Airtable, Notion, Stripe, QuickBooks, DocuSign, and Zendesk. For tools without native integrations, we connect via REST API or webhooks. We have not yet encountered a business tool we cannot integrate.

Every workflow we build includes error handling paths, retry logic, and alerting. When a workflow fails, the error is caught, logged with full context, and an alert is sent to your nominated contact. Failed records are queued for review rather than dropped silently. We build execution dashboards showing workflow success rates so you always have visibility into system health.