AI & Automation
We add AI where it saves real time, not where it makes a nice demo. Assistants trained on your own documents, automations on the tools you already use, and dashboards that answer questions before you ask.
- Best for
- Teams buried in repetitive work, companies sitting on data they cannot see, and products that need smarter features.
- Typical timeline
- 3–10 weeks
- Usually starts as
- Automation Sprint
Sounds familiar?
“We do everything by hand.”
Signs
- People copy data between sheets, apps and email all day.
- Customers wait hours for answers to simple questions.
- Reports take days to put together.
Where we’d start
- 01Find. Shadow the team for a day and list the repetitive work.
- 02Pick. Choose the one task where automation saves the most hours.
- 03Pilot. A working assistant or automation on real data in a few weeks.
Hours back every week, and answers for customers in seconds.
What we do
8 ways we help.
- 01AI assistants & chatbotsFor your website, app or WhatsApp, answering from your own content and handing over to a person when needed.
- 02Workflow automationLead follow-ups, reports and data entry handled automatically, with people approving key steps.
- 03AI product developmentCustom AI features built on your data, from prototype to production.
- 04AI search visibilityShow up correctly in ChatGPT, Perplexity and Google’s AI answers.
- 05Generative content pipelinesOn-brand images, product copy and creatives at scale, reviewed by people.
- 06Dashboards & reportingLive numbers from scattered sheets and systems, in one place.
- 07AI product auditsA check of apps built with AI tools for security, quality and readiness to launch.
- 08Team trainingHands-on workshops that get your people using AI well, and safely.
What you get
On handover.
- Workflow map and time-saving estimate
- Working assistant or automation
- Connections to your existing tools
- Monitoring and approval steps
- Documentation
- Team training and a 30-day review
“We measure AI work in hours saved, not in features shipped.”
How it runs
4 steps.
- 01MapWe sit with your team and find the work that eats the most hours.
- 02PrototypeA working demo on your own data within two weeks.
- 03ConnectBuilt into the tools you already use, with people approving key steps.
- 04MeasureHours saved and accuracy tracked, then the next thing to automate.
Related work
See it in practice.
Questions
Good to know.
Is our data safe?
We use business-grade AI services that do not train on your data, keep access limited, and document where everything is stored.
What if the AI gets something wrong?
We design for it: answers come from your own documents, uncertain cases go to a person, and important steps need approval.
Do we need a big budget to start?
No. Most clients start with one automation in a three-week sprint and grow from there.
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