Plain answers to the questions people ask before they hire us.
Each page is a short, direct answer first, then more context if you want it. Optimised for humans, voice assistants, and AI search.
Workflow automation is the practice of replacing repetitive multi-step business processes, lead routing, document handling, approval flows, reporting, with software that performs them reliably without human input. Modern workflow automation combines APIs, queues, and increasingly LLMs to handle decisions that used to need a person.
An AI automation agency designs, builds, and operates software that takes repetitive operational work off a team, lead handling, support triage, document processing, reporting, using LLMs, workflow engines, and integrations. The best ones engage on outcomes, not hours, and deliver code the client owns outright.
A chatbot follows scripted decision trees and answers from a fixed knowledge base. An AI agent reasons over your data, calls tools, and can take multi-step actions, booking a meeting, drafting a quote, escalating to a human. Agents are the right tool when the task isn't fully predictable; chatbots are fine for FAQs.
Zapier is the simplest and most expensive at scale. Make has stronger logic and is friendlier for branching workflows. n8n is open-source and self-hostable, the right choice when data residency or per-execution cost matters. Most agencies use all three depending on the constraint, and write code instead when reliability matters more than speed.
An in-house engineer makes sense when automation is core, ongoing, and tied to the product. An agency is better for projects with a defined endpoint, multiple systems, or specialised skills you don't need full-time. A senior automation engineer in Europe costs €120-160k all-in per year; one agency engagement typically costs less than a quarter of that and ships in weeks.
No-code is the right answer when the workflow is small, isolated, and unlikely to grow, internal ops, marketing automations, simple integrations. Custom code wins when the workflow is customer-facing, revenue-tied, or has reliability requirements that no-code platforms can't meet. Most production stacks are a deliberate mix of both.
Yes, when there's a repeating, measurable process eating someone's time. The honest test: if the work happens at least weekly, takes at least an hour, and follows a predictable shape, automating it usually pays back inside one quarter. If the work is bespoke and rare, automation is the wrong tool.
Automation ROI is straightforward: (hours saved per week × hourly cost of the person × 52) − (build cost + annual operating cost). If the result is positive in year one, the automation is worth building. Most workflows that meet the weekly-repetitive-predictable filter clear this bar inside a single quarter.
For coaches and consultants the highest-leverage automations are lead qualification (WhatsApp or email), client onboarding (intake forms → CRM → calendar → welcome packet), session note summarisation, and recurring invoicing. Each saves 3-8 hours a week and pays back inside a quarter at typical consulting rates.
For real estate agencies the four high-leverage automations are sub-five-minute lead reply (WhatsApp or SMS), listing-portal sync, automated viewing follow-up, and document handling for contracts and KYC. Speed-to-reply alone usually moves conversion 2-3x; the rest reduces overhead so agents can spend time selling.