AI automation
Put repetitive work on autopilot
Custom automations and AI assistants that plug into the tools you already use, with a person approving anything that matters.
Our starting point
We begin with your workflow, not the model
Before writing any code we sit with the people doing the work, map each step and mark the ones a machine can handle safely. The automation is then shaped around your process, not the other way round.
What we automate
Six ways to win back hours
Process automation
Tasks that hop between apps now move on their own.
Chat assistants
Answer customers and staff instantly from your own knowledge.
AI inside your product
Summaries, suggestions and document reading for your users.
Content pipelines
Drafts produced, reviewed and published in one flow.
System connections
Data synced between your platforms without copy-paste.
Team tools
Internal dashboards and helpers that cut admin time.
Engineering
Built for everyday use
Proper interfaces, databases, permissions and monitoring, the parts that keep an automation running long after launch day.
Safeguards
Automation with guardrails
- A person signs off on anything sensitive
- Safe fallbacks when the AI is unsure
- Your real data, pulled from the systems you use
- Hours saved tracked from the first week
Delivery
Four steps to a working system
-
01
Observe
We map how the work is done today and where time is lost.
-
02
Plan
We pick the right AI tools, success measures and approval points.
-
03
Build
We develop against your actual apps and data, not a demo.
-
04
Prove & launch
Edge cases, access rights and alerts are tested before go-live.
FAQ
Questions about AI automation
Which tasks are good candidates?
Customer support, lead qualification, document processing, content workflows, reporting, scheduling, data entry and knowledge search are common starting points. Workflows with clear inputs and outputs work best.
Do we have to switch software?
Usually not. We connect to the tools you already use through their APIs. If a tool is the actual bottleneck, we can plan a custom replacement.
Can our team review what the AI produces?
Yes. We build review queues, confidence thresholds, role-based approvals and fallback rules matched to the risk of each task.
Is this a prototype or a finished system?
Production systems, with application logic, integrations, error handling, security and a launch-ready interface.
Do we own what you build?
You do. Source code ownership transfers to you after delivery and payment, as set out in the project agreement.
Which task eats your team’s week?
Describe it in a message. We’ll tell you honestly whether it can be automated, and what it would take.