Audit and map
Result: a prioritised list of what to automate first. How: shadow your actual workflow, measure where the hours go, and flag the tasks with the best time-saved-to-effort ratio.
Primary KPI: Automation audit with hours-saved estimatesAutomation & AI Workflows
Reclaim hours every week by automating the repetitive, error-prone work, from app-to-app integrations to AI agents and custom code.
Outcomes we focus on
- Repetitive manual tasks handled automatically and reliably
- Systems that talk to each other, so data stops being re-keyed by hand
- AI used with proper guardrails to draft, sort, and summarise, not to guess
- Reporting that builds itself and lands in your inbox on schedule
Deliverables you receive
- Automation audit: a mapped list of your repetitive tasks with hours-saved estimates and priority
- App-to-app integrations via Zapier, Make, or native APIs (form to CRM to email to Slack, and the like)
- AI agents and LLM workflows for document processing, drafting, classification, and support, with guardrails and human review where it matters
- Automated data pipelines and dashboards (GA4, Sheets, databases) with scheduled reports
- Custom scripts, webhooks, and cron jobs for anything off-the-shelf tools cannot do
- Bespoke internal tools and business apps (CRMs, trackers, dashboards, and mobile apps)
- Infrastructure and secure networking (NAS servers, VPN and zero-trust access, OS migrations)
- Plain-English documentation and a handover so your team can run and trust every workflow
How the engagement runs
Design and prototype
Result: a working proof on your real data. How: choose the right tool for each job (no-code where it fits, custom code where it does not) and build a first version you can test.
Primary KPI: Working prototype approved on real dataBuild and harden
Result: an automation that runs unattended. How: add error handling, logging, retries, and alerts so failures surface instead of hiding, plus human review on anything AI touches.
Primary KPI: Live workflow with monitoring and alertsHandover and support
Result: a system your team owns and trusts. How: document how it works, train your people, and monitor for drift as your tools and volumes change.
Primary KPI: Team trained and workflow documentedProof this approach works
Custom business tools
Built a bespoke CRM, a deadline tracker, a client onboarding tool, automated client-payment chasing, and Companies House XML filing tools. Internal software shaped around how a business actually works.
Systems that talk to each other
Connected Xero to WordPress, built Airtable automations, wired AI email assistants into CRMs, and built custom MCP tools and connectors so apps share data without anyone re-keying it by hand.
Automation platforms, done properly
Production workflows built on Zapier and n8n, with Uptime Kuma monitoring so you know the moment something stops.
Industry-specific projects
Automated booking and outreach for a football club, prayer-time automation for a religious site, a scent-finder app for a perfume company, and automated shift reminders pulled from a contractor's calendar.
Apps, widgets, and chatbots
Custom Android apps and widgets, chatbot automation, and a webpage keyword scanner that flags offensive terms for a publishing paper.
Infrastructure and secure networking
NAS servers for small businesses, Windows-to-Linux software porting, smart-home and doorbell automation over Zigbee and Thread, and secure office networking with Cloudflare Zero Trust and Tailscale.
Reliability first
Every automation ships with error handling, logging, and alerts. If it fails, you know before your customers do.
Responsible AI
AI is used where it is genuinely reliable, with human review on anything customer-facing or financial. No hallucinated numbers, no black boxes.
What we measure
- Hours saved per week
- Manual error rate before vs after
- Automation uptime and success rate
- Time-to-value from kickoff to live
FAQs
Do I need to be technical to work with you?
No. We handle the build and hand it over in plain English. You just need to know which tasks are eating your time.
No-code or custom code?
Whichever genuinely fits. We use Zapier or Make when they are the right tool, and write custom code when they are not. You are never pushed toward the more expensive option.
Is my data safe with AI in the loop?
Yes. We scope exactly what AI can see, keep sensitive data out where it should be, and add human review on anything that matters. Private or local models are an option when needed.
What happens if an automation breaks?
Everything we build has logging and alerts, so failures surface immediately. Support and monitoring can be included so you are never left guessing.
Do I own what you build?
Completely. You own the accounts, the workflows, and any code. No lock-in and no dependency on us to keep it running.
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