01
End-to-end workflow automation
Orchestrate multi-step processes across departments, approvals, notifications, data routing and reporting, all running automatically.
Service
AI Automation
Streamline your business with AI-powered automation that eliminates manual work, orchestrates complex workflows and makes rule-based decisions, freeing your team to focus on what actually drives growth.
- What it is
- AI business process automation: combining AI with workflow tooling so a process runs end to end without manual handoffs.
- Typical timeline
- 3 to 8 weeks per process, depending on the number of systems involved.
- Tooling
- Zapier, Make, Power Automate, UiPath and n8n, plus direct API integration where a platform will not stretch.
- Measured results
- Manual task hours removed per week, measured against a pre-automation baseline agreed in discovery.
What we build
What is AI automation?
AI automation uses intelligent software to handle repetitive tasks, orchestrate complex workflows and make rule-based decisions without human intervention. We map your processes, build automations with the right tool for each job, then test and monitor them so they run reliably at scale.
From £2,000Typical starting point
2-4 weeksTo go live
AI · RPA · no-codeRight tool per job
The business case for AI automation
Eliminate human error
Automated processes follow rules perfectly every time, so accuracy goes up and rework goes down, with no missed steps or typos.
24/7 non-stop processing
Automations run nights, weekends and holidays. Invoices get processed and data gets synced while your team sleeps.
Real-time visibility
Every automated process generates live data, giving you instant dashboards on throughput and exceptions, with zero manual reporting.
Scales without headcount
Handle 2× or 10× the volume with the same team. Automations scale instantly to match demand peaks, with no hiring lag.
What we automate for you
02
Document & data processing
Extract, classify, validate and store data from invoices, contracts, forms and emails, with zero manual entry and near-zero error rate.
03
Email & communications automation
Intelligently sort, respond to and route inbound emails, and trigger personalised follow-ups based on customer behaviour and CRM data.
04
System integration & data sync
Connect your CRM, ERP, helpdesk and third-party tools so data flows automatically, eliminating silos, double-entry and sync delays.
Our automation delivery process
01
Process audit & opportunity mapping
We analyse current workflows, quantify the time and cost of manual tasks, and identify the automations that deliver the fastest ROI.
02
Workflow design & architecture
We design optimised automated workflows, mapping every trigger, condition, action and exception path before building anything.
03
Build & configure
We build with AI, RPA and no-code/low-code platforms, choosing the right tool for each job to maximise speed and reliability.
04
Test, validate & refine
We test every automation across real data and edge cases, ensuring it handles exceptions gracefully and performs reliably at scale.
05
Deploy, monitor & scale
We go live, monitor performance with real-time dashboards, and expand coverage as you identify new opportunities across the business.
AI automation
AI automation, answered.
What operations leads ask before automating a process.
Book a discovery callWhat is AI automation?
AI automation is business process automation with AI making the judgement calls. Traditional automation follows fixed rules; AI automation reads unstructured input such as emails, documents and messages, decides what it means, and triggers the right next step.
How is AI automation different from RPA?
Robotic process automation repeats a fixed sequence of clicks and rules and breaks when the input varies. AI automation interprets messy, unstructured input first, then acts, so it handles the exceptions that send RPA workflows to a human queue.
Which automation tools do you build on?
AI Leap builds on Zapier, Make, Power Automate, UiPath and n8n, and integrates directly by API where those platforms will not stretch. Tool choice follows your existing stack and IT policy rather than a house preference.
How do you measure the return on AI automation?
We baseline the manual hours a process consumes during discovery, then measure the same process after deployment. The reported figure is hours removed per week and error rate before versus after, not a projection.
Ready to automate your biggest time wasters?
A free 30-minute process audit. We will look at your workflows and tell you, honestly, where automation pays for itself and where it does not.