Connected workflow
Move a lead, request or record through the tools your team already uses, with validation, status logging and a clear failure alert.
Service
Automation and AI
Reliable workflows, scheduled scripts and useful AI tools connected to the systems you already use.
We start with the repetitive work, failure points and information your team needs. The result is an automation you can inspect, monitor and maintain—not a black box.
Clear scope and fixed quote before work beginsThe approach
Automate repeatable work while keeping failures visible
We document the trigger, each step, the systems involved, expected volume and what should happen when a run fails. Simple workflows can connect forms, spreadsheets and notifications; larger automations can coordinate CRM, invoicing, reports and internal alerts across several tools.
When an off-the-shelf automation platform is not enough, we build scheduled Python or Node scripts. AI assistants are grounded in approved business documents, tested against example questions and given clear topics to refuse or hand to a person.
Ways we can help
Common project scopes
Your proposal is tailored to the required outcome. These are useful starting points for the scoping conversation.
Custom scheduled process
Run data imports, report generation, monitoring or other repeatable jobs on a schedule with logs and operational documentation.
Grounded AI assistant
Answer from your approved documents through a website, internal tool or messaging channel, with test questions and defined handoff rules.
What is included
A complete, usable handover
The exact scope is written into your proposal. These are the foundations we normally include.
Workflow mapping and opportunity review
n8n, Make or Zapier automations
Python and Node scripts
Scheduled reports and data movement
Assistants grounded in your documents
Run logs, alerts and handover notes
A good fit for
When this service makes sense
- Teams repeating the same copy-and-paste work
- Businesses connecting tools that do not talk to each other
- Organisations exploring a controlled AI use case
How we work
From scope to handover
- 01Understand
We clarify the goal, audience, constraints and what success needs to look like.
- 02Agree
You receive the scope, fixed price, timeline and responsibilities in writing.
- 03Build
You review working progress at agreed stages instead of waiting until the end.
- 04Launch and hand over
We test, deploy, document and make sure you have the files and access you need.
Questions
What clients usually ask
If your situation is different, send us the context and we will tell you whether this service is the right route.
Which automation platform do you use?
We can work with n8n, Make or Zapier for supported workflows, and use custom Python or Node code when the logic, volume or deployment requirements call for it.
What happens when an automation fails?
The scope defines logs, alerts, retry behaviour and who receives the failure notice. Ongoing monitoring can be added when connected services are likely to change.
Will an AI assistant answer only from our information?
We can ground it in approved documents and create a test set from the questions your users ask. No generative system is error-free, so we also define boundaries, refusals and human escalation for sensitive topics.
Are software and AI usage fees included?
Third-party platform subscriptions and model usage are separate operating costs. We identify the required accounts during scoping and keep them in your organisation's control where possible.
Start a conversation
Get a fixed quote Have a project in mind?
Tell us what you need and we will reply within one business day.