Automate the work your business keeps doing by hand.
We connect the tools you already pay for, put AI where it genuinely removes effort, and build the internal plumbing so data moves once — cleanly.
// no lock-in · documented · handed over to your team
Six ways we take work off your team.
Start with the process that hurts most. Prove the hours saved. Then keep connecting systems until the busywork is gone.
Workflow Automation
Intake, triage, approvals, hand-offs and follow-up sequences across the tools you already use.
open → 02AI Integration
LLM APIs, CRMs, spreadsheets, accounting and booking systems wired together with retries and logging.
open → 03Chatbots & Assistants
Support bots and internal assistants grounded in your own documents, with guardrails and human handover.
open → 04Document & Data Automation
Field extraction from PDFs and email, generated quotes and reports, record cleanup and sync.
open → 05AI Workflows
Repeatable drafting, summarising and classification pipelines with review steps before anything ships.
open → 06Automation Audit
Review of your current stack and any brittle Zapier, Make or scripts, with a plan to make them reliable.
open →From manual process to running automation.
Four steps, no mystery. You see the flow before it is built and you own it afterwards.
Map the process
Walk through the task as it happens now: steps, systems, people, exceptions and where the time actually goes.
Design the flow
Decide what to automate, what stays human, which tools connect and where the review and error points sit.
Build and test
Develop the automation, run it against real cases, handle the edge cases and log everything it does.
Hand over and tune
Document it, train the team, monitor the first weeks and adjust as the process settles in.
Work that stops landing on a person.
A sample of the tasks businesses hand to an automation instead of a staff member.
- Copying enquiry details from email into the CRM.
- Chasing unpaid invoices on a schedule.
- Building quotes from a template and line items.
- Reading PDFs and typing the fields into a system.
- Routing support tickets to the right person.
- Summarising long threads into action items.
- Syncing records between two tools that do not talk.
- Compiling the weekly report from three sources.
Where this tends to land first.
The processes differ, the pattern does not: capture once, route automatically, follow up without being asked.
Job intake, quoting, reminders and invoice follow-up.
Use case Professional ServicesClient onboarding, document collection, recurring reports.
Use case E-commerceOrder exceptions, stock sync, supplier email, post-purchase.
Use case Real EstateEnquiry routing, appraisal follow-up, listing data entry.
Use case HospitalityBooking confirmations, supplier messaging, review requests.
Use case ClinicsIntake forms, recalls, referral letters, results notices.
Reasonable questions.
Do you use no-code tools or write code?
Both. No-code platforms like Make and Zapier where they fit, custom code and queues where reliability matters, so flows do not break silently at the worst moment.
Is our data sent to an AI provider?
Only where you approve it, and only the fields the task needs. Sensitive data can stay inside your systems, and local models are an option for work that should not leave the building.
What happens if an automation fails?
Every flow ships with error handling, retries, logging and alerting. Failures surface to a person with context instead of disappearing.
Do we depend on you forever?
No. The build is documented and handed to your team. You can run it, change it or take it elsewhere.
How small is too small to bother?
If a task eats a few hours every week and follows the same steps each time, it is worth a look. The audit will tell you if the payback is real.
Got a process that eats hours every week?
Send the task, the tools it touches and where it goes wrong. You will get an honest read on what is worth automating.