Question 1

How much does AI automation cost for a small business?

Accepted Answer

Most custom AI automation projects range from £2,000 to £15,000 depending on complexity. Simple workflow automations — like connecting your CRM to your invoicing tool — start from around £500. Larger projects that span multiple departments or require custom integrations sit at the higher end. We scope everything upfront so there are no surprises, and most clients see a return within the first 60 days.

Question 2

What business processes can you automate with AI?

Accepted Answer

Almost any process that involves repetitive steps, data movement between systems, or structured decision-making. The most common areas we automate are customer service (ticket routing, AI-assisted replies), accounting (invoice processing, reconciliation, expense categorisation), CRM management (lead scoring, pipeline updates, follow-up sequences), project management (task creation, status syncing, resource tracking), and recruitment (CV screening, interview scheduling, candidate communication). If your team is doing it manually more than twice a week, it can probably be automated.

Question 3

Is AI automation worth it for small businesses?

Accepted Answer

Yes — and small businesses often see the fastest results because there's less bureaucracy between identifying a problem and fixing it. Clients typically report a 20–40% reduction in operational costs within 60–90 days. The key is starting with the process that costs you the most time, not the most complex one. A single well-placed automation can free up 10–15 hours a week.

Question 4

How long does it take to set up AI automation?

Accepted Answer

Simple automations take 1–2 weeks from kick-off to live. Multi-system integrations — like connecting your CRM, accounting software, and project management tools into one workflow — typically take 4–8 weeks. Full operational overhauls that span multiple departments run 2–3 months. Every project starts with a discovery session so we understand exactly what needs to happen before any building begins.

Question 5

What's the difference between AI automation and traditional automation?

Accepted Answer

Traditional automation follows fixed rules — if X happens, do Y. It works well for simple, predictable tasks like sending a confirmation email after a form submission. AI automation goes further: it can read and interpret unstructured data (like customer emails or invoices), make decisions based on context, learn from patterns over time, and handle tasks that would normally need a human to review. We use both where they make sense — not every problem needs AI, and not every process can get by without it.

Question 6

Do I need to replace my existing tools to use AI automation?

Accepted Answer

No. We build on top of what you already use — HubSpot, Xero, QuickBooks, Slack, Google Workspace, Monday.com, ClickUp, and hundreds of other tools. The whole point is to make your existing stack work harder, not to rip it out. If something genuinely isn't fit for purpose we'll flag it, but most of the time the tools you have are fine. They just aren't talking to each other.

Question 7

What does an AI automation agency actually do?

Accepted Answer

We design, build, and maintain AI-powered systems that handle your repetitive operational work. That typically means: auditing your current workflows to find where time and money are being lost, designing automations that connect your tools and eliminate manual steps, building and testing those systems, then providing ongoing support to keep everything running. Think of it as hiring a team that specialises in making your business run itself — without the overhead of building an internal tech team.

Question 8

How do I know which processes to automate first?

Accepted Answer

Start with the process that costs you the most time relative to its complexity. The 80/20 rule applies here — roughly 80% of your wasted time comes from 20% of your processes. We run a discovery session to map your workflows, identify bottlenecks, and score each one on time saved versus implementation effort. That gives you a clear priority list rather than guessing. Most clients start with one or two quick wins and expand from there.

Question 9

What happens to my data when AI processes it?

Accepted Answer

Your data stays yours. We build systems that process data within your existing tools and infrastructure — nothing gets sent to third-party AI training datasets. All automations are GDPR-compliant by design, and we can configure data residency requirements for UK or EU hosting where needed. We'll walk you through exactly how data flows through every automation before it goes live, so you know what's happening at every step.

We build the system your business runs on.

Every tool you run.
One system.

Don't take our word for it.
Interrogate the system.

Five stations.
One signal.

Map the manual load

Design the system

Build with code you own

Prove it on real work

Hand over the keys

Outcomes,
not deliverables.

Straight answers.

Stop running on noise.
Start running on signal.