AI Automation Agency
Traditional automation follows fixed rules. AI automation can read an email, understand a document, summarise a call or draft a reply. We add AI to your workflows where it saves real time — with guardrails and human review built in.
Many repetitive tasks involve unstructured information: invoices in different formats, emails written in a hundred ways, call notes and contracts. These used to need people; AI can now handle much of the reading, sorting and drafting.
We identify practical AI use cases in your operations, build them into your existing tools and processes, and design checks so people review outputs where accuracy matters. The result is faster work without losing control.
AI applied to the everyday work of your business.
Identifying where AI can save time safely in your business.
Extracting data from invoices, forms, contracts and receipts.
Classifying, prioritising and routing incoming messages.
Draft replies and documents for staff to review and send.
Summaries of calls, meetings, documents and long threads.
AI steps added to Zapier, Make, Power Automate and CRM workflows.
A selection of the automation projects we deliver. Each started by mapping a manual process and ended with a measurable reduction in time, errors or response times.
Professional ServicesWe automated lead capture into HubSpot, instant routing to the right partner, follow-up sequences and booking links.
EcommerceWe connected the store, accounting, inventory and courier systems with automated workflows and exception alerts.
HealthcareWe built an AI assistant trained on approved clinic information, with hand-off to staff for anything clinical.
FintechWe automated data collection and transformation, with dashboards that update daily and AI-drafted commentary for review.
Three principles behind every AI automation.
We apply AI where it clearly saves time or improves quality.
Review steps for anything sensitive or high-stakes.
We test outputs and monitor quality over time.
Practical uses of AI inside business processes.
AI extracts supplier, amounts and line items, then posts them for approval.
In practice
A distributor processes hundreds of supplier invoices a week with staff checking only flagged ones.
AI reads incoming emails, identifies intent and routes or responds.
In practice
A property manager's shared inbox now sorts repair requests, payments and enquiries automatically.
Call recordings summarised, with actions logged in the CRM.
In practice
Sales calls are summarised and next steps added to deals without reps typing notes.
AI drafts proposals, product descriptions or reports from structured data.
In practice
A retailer drafts product descriptions from specifications, edited by its content team.
Join a free 30-minute AI opportunity call. We'll identify three practical use cases for your business.
Book a Free AI CallEvery sector has its own rules, audiences and pressure points. We shape each engagement around yours, so the work lands with the people it is meant for.
Ecommerce & Retail
Digital Healthcare
Fintech & Banking
Delivery & Logistics
PropTech & Real Estate
On-Demand ServicesAI automation tackles work that rule-based tools couldn't touch, unlocking time savings in areas like document handling, communication and reporting.
By building AI into your existing workflows rather than adding new tools, we help your team adopt it quickly and safely.
The AI automation projects we deliver most often.
Turning PDFs into structured data.
Sorting and prioritising tickets.
Notes and actions in the CRM.
AI steps in existing automations.
AI multiplies what your team can do.
Hours of reading and sorting removed.
Customers helped sooner.
Standardised outputs at scale.
Handle growth without matching headcount.
Patterns found in unstructured data.
Operate faster than competitors.
Most projects draw on more than one discipline. These are the services that sit alongside this one.
AI automation adds AI steps to specific business workflows, such as reading invoices or triaging emails. AI agent development builds more autonomous agents that plan and complete complex, multi-step tasks.
We choose providers and configurations that don't train on your data, minimise data shared, and follow your security and privacy requirements.
Accuracy depends on the task. We test with your real data, set confidence thresholds and route uncertain cases to people for review.
Usually not. Modern AI models work well with your existing documents and examples, without training a custom model.
We use leading models from providers such as OpenAI, Anthropic and Google, selected for each task's accuracy, cost and privacy needs.
Focused use cases can be piloted in 2–6 weeks, then refined and scaled based on results.
Tell us about your project — whether it's a website, an app, SEO or marketing.
