AI & automation
Give repetitive work a better process
Practical automation for recurring business tasks, with AI used where it adds value and human review where judgement matters. Start with a workflow worth improving.
Who this is for: Teams spending time copying information, preparing routine documents or moving data between tools.
The problems
What usually brings people to us.
- The same information is copied between several tools
- We review the source of truth and available APIs, then design an integration with validation, failure handling and a clear owner.
- AI output is inconsistent or difficult to trust
- We define the task, evaluate representative examples and include review steps instead of treating generated output as automatically correct.
What you get
Deliverables, not a feature list.
Workflow assessment
A review of the current steps, bottlenecks and available data.
Bounded first release
A clearly defined task with agreed success criteria before expanding the automation.
System connections
Integrations using supported access and the permissions needed for the task.
Human oversight
Review and approval steps where the workflow needs judgement.
Failure handling
Visible errors, logs and an agreed recovery path when a tool or connection fails.
Documentation
An explanation of the workflow, its limits and how to maintain it.
Process
How it runs, and how long it takes.
01
Discover
Review the current workflow, intended users and business priorities.
Agreed at scoping
02
Design
Agree the essential screens or workflow, deliverables and acceptance criteria.
Before development
03
Build & review
Implement in reviewable stages and test the agreed behaviour.
By milestone
04
Launch & support
Complete release checks, handover and the agreed support arrangement.
Planned together
Timings are the ranges we actually see, not best cases. We confirm yours in writing at the design stage before you commit.
Built with
The stack.
- Workflow automation
- API integrations
- Data validation
- AI-assisted processing
- Monitoring
Your data is yours and exportable at any time — see pricing for what support and hosting cost after launch.
Questions
What people ask before starting.
- Does every workflow need AI?
- No. A deterministic rule or integration is often more suitable. We choose the simplest approach that fits the task.
- What happens to our business data?
- We agree the data sources, access permissions and any external processors before implementation. Sensitive information requires an appropriate handling plan.
- Are model or platform costs included?
- Usage-based fees and third-party subscriptions are stated separately in the proposal so you can assess ongoing costs.
Tell us how you work today.
One conversation is usually enough for us to tell you whether this is worth doing, and roughly what it would cost.