AI Automation.
Workflow automation that uses AI where judgement is genuinely needed, and simple rules everywhere else.
What this covers.
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Process mapping to find where automation actually saves time
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AI-assisted steps for tasks needing judgement - classification, summarisation, drafting
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Straightforward rule-based automation for the rest, since it is more reliable and cheaper to run
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Integration with the tools your team already uses daily
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Monitoring so failures are caught, not discovered a week later
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Iteration as your processes change
A clear process from process map to live automation.
Four stages, each ending in something you can see, click or sign off.
- 01/
Map the process
We find the manual tasks that cost the most time and decide where AI helps and where simple rules are enough.
DELIVERABLEProcess map and automation shortlist
- 02/
Design the automation
We split each task into rule-based steps and AI-assisted steps, and set where a person approves the result.
DELIVERABLEDesign with human checks
- 03/
Build and test
We build on your existing tools and test on real examples, including the cases that usually go wrong.
DELIVERABLEWorking automation tested on real examples
- 04/
Launch and improve
We switch it on, watch the first runs and adjust it as your process changes.
DELIVERABLELive automation with alerts and monthly review
The right stack for your automation.
We choose what your team can maintain. If a simpler tool does the job, we will say so.
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AI MODELS
- OpenAI API
- Anthropic API
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AUTOMATION
- n8n
- Zapier
- Make
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INTEGRATIONS
- HubSpot
- Salesforce
- Slack
- Zendesk
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INFRASTRUCTURE
- Node.js
- PostgreSQL
- AWS
- Sentry
Questions about AI Automation.
Answers to what clients ask us most before a project starts. Don't see yours here - just ask.
Contact Us01/ Does everything need AI, or just some of it?
No - we use AI only where genuine judgement is needed and plain automation for everything else, since it is more reliable and predictable.
02/ How do you measure whether automation is actually working?
Baseline metrics agreed before launch, then measured against real usage after - time saved, error rate, or volume handled.
03/ What happens when our process changes?
Automations are built to be modified, not thrown away - we typically retain a support relationship to adjust them as needed.