Workflow automation
Recurring steps handed to a reliable workflow, with clear points where a person decides.
Automation & applied AI
Repetitive work taken over by reliable workflows, with AI used inside clear rules and a person checking what matters.
Get in touch
What we build
Self-service tools
Small tools that let colleagues do a recurring task themselves, correctly, every time.
Personalised content at volume
Assets, pages and documents generated from structured data and templates.
AI pilots
A contained test of where AI helps in your process, with results you can judge.
Capabilities
- Process analysis
- Templates
- Validation rules
- AI integration
- Media rendering
- Review workflows
Sound familiar?
- A recurring task is done by hand because no tool fits it.
- Personalised material is needed at a volume nobody can produce manually.
- The business wants to use AI and needs to know where it will hold up.
What you can commission
- Workflow automation
- Self-service tools for a defined task
- Personalised assets and pages
- AI pilots and proofs of concept
Selected work
All case studiesP.O.S. · with Insaine · Campaign + automationLead generation with personalised assets for retail mediaRead the case study POS/GEN · Multimedia platformContent in, finished campaigns outRead the case study Zenk SystemPartner · Business toolA signature generator colleagues can run themselvesRead the case study
Process
How a project runs
- 01
Find the repetition
Which tasks recur, how often, and what goes wrong when they are done by hand.
- 02
Define the rules
What must always be true: prices, names, layouts, approvals.
- 03
Build the workflow
Data in, steps in order, results out, with retries when something fails.
- 04
Keep people in charge
Review and approval before anything is sent or published.
- 05
Run and refine
Adjustments once the workflow meets real cases.
Who we work with
Operations teams
Routine tasks taken off the desk without losing control of the result.
Marketing and campaign teams
Personalised material at a volume nobody can produce by hand.
Leadership
A grounded view of where AI is worth using and where it is not.
Technical view
- Approach
- Structured data, validation and templates around selected AI tasks
- Review
- Approval steps before anything is published
- Media
- Automated rendering with browser tooling and ffmpeg
Questions
Will AI make things up in our content?
We design against that. Facts such as prices and contact details come from verified data and rules. AI is used where interpretation helps, and a person approves the result.
Do we need AI at all?
Often a rule or a template does the job better. We say so.
Can we start small?
Yes. A pilot or proof of concept on one process is a sensible first step.
Which AI provider do you use?
The one that fits the task. Workflows are built so the provider can be changed.