People repeatedly copy data between systems
Connect the source and destination with clear validation and ownership.
SYSTEMS / AUTOMATION
Automate the handoff, keep the judgement
We map the process before selecting tools, then build automations and integrations with failure handling, visibility and handover included.
WHEN THIS FITS
Connect the source and destination with clear validation and ownership.
Build visible routing, notifications and exception handling around the workflow.
Define where AI helps, where it must defer and how outputs are checked.
WHAT WE CAN HELP WITH
Automation is useful when the process is understood. We design around triggers, data, decisions, failure states and the person who owns the result.
AUTOMATE THE RIGHT LAYER
Triggers, validation, field mapping, routing and record updates should remain deterministic when the inputs and required result are known.
Classification, extraction, summarisation and drafting can help with unstructured text, provided the workflow defines acceptable inputs, confidence and fallback behaviour.
Approval and exception paths prevent an integration from silently sending, deleting, spending or changing sensitive records beyond its intended authority.
WHAT GETS AUTOMATED
AI automation that reads invoices, forms and emails, pulls the fields that matter and writes them into the system of record, with a person reviewing anything ambiguous.
AI automation that classifies an inbound enquiry, enriches it and routes it to the right person or sequence, so nothing sits unread in a shared inbox.
AI automation that assembles figures from several tools on a schedule and produces the report someone currently rebuilds by hand every week.
AI automation that drafts and sends routine replies, follow-ups and reminders, with escalation to a human wherever the answer carries commercial consequence.
THE AUTOMATION
We document triggers, inputs, decisions, exceptions, outputs and human owners before choosing n8n, Make, Zapier or a custom integration.
Systems of record, credentials, permissions, retention, approval points and failure behaviour are agreed before the workflow can act.
Connectors, APIs, webhooks and AI steps are tested with normal, missing, duplicate and invalid inputs—not only the happy path.
Logging, alerts, run ownership and recovery steps are documented so the workflow can be supported when an upstream tool or payload changes.
WHAT YOU RECEIVE
Triggers, systems, data movement, decisions and exception paths mapped.
Agreed automations or integrations built against realistic scenarios.
Credentials boundaries, monitoring, failure recovery and future changes documented.
Built a mobile-first custom web application with n8n and AI automation, then repaired the DNS and email-authentication faults disrupting the connected workflows.
COMMON QUESTIONS
Yes. We build and troubleshoot n8n workflows as well as selected Make, Zapier and custom integration routes.
Often, if they expose a suitable API, webhook or other supported interface. We confirm feasibility before promising the connection.
Yes. Website and internal knowledge assistants can be scoped around content, actions, data access and appropriate human escalation.
Failure handling, logging and notification are treated as part of the workflow rather than an afterthought.
No. Deterministic rules are often better for exact routing, validation and record updates. AI is useful where a workflow needs to interpret, classify, summarise or draft from less structured information.
Yes. Approval, exception and escalation steps can keep people responsible for sensitive, financial, customer-facing or low-confidence decisions.
START A CONVERSATION
Share the current situation, what you have already tried and the result you need. We will come back with the most sensible next step.
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