Applied AI & Agentic Automation
AI automation that does real work, with accountability built in.
We design LLM-powered products and agentic workflows that handle repetitive work end to end, escalate to people when judgement is needed, and log every action.
01 Who it is for
Who it is for
Operations-heavy businesses, product teams adding intelligent features, and agencies that want to offer AI automation to their own clients without building an in-house AI team.
02 What we deliver
What we deliver
- 01AI assistants and copilots inside your product
- 02Agentic workflows that complete multi-step tasks
- 03Document processing and data extraction pipelines
- 04Retrieval-augmented knowledge bases over your content
- 05AI voice agents for inbound and outbound calls
- 06Workflow automation connecting your existing tools
03 Our approach
Our approach
We treat AI as part of the system design, not a feature. For each workflow we define what the model may decide on its own, what needs human approval, and how results are verified. We build evaluation sets from your real data, measure quality before launch, and add monitoring, cost controls and audit trails so automation stays reliable in production.
Technology and engagement model
04 Technology
The tools we use
- Large language model APIs
- Retrieval-augmented generation
- Vector search
- n8n
- Voice agent platforms
- Node.js
- Python
- Next.js
05 Engagement model
How we engage
Most clients start with a focused pilot on one high-value workflow, then expand to further processes once results are measured. Ongoing support covers monitoring, prompt and model updates, and cost optimisation.
06 Process
How the work moves forward.
- Step 01
Discover
Identify the workflows where automation creates measurable value.
- Step 02
Architect
Define agent boundaries, human checkpoints, data access and safeguards.
- Step 03
Build
Develop, evaluate against real examples and refine until quality targets are met.
- Step 04
Launch
Roll out with monitoring, logging and clear escalation paths.
- Step 05
Scale
Extend automation to adjacent workflows and optimise cost and speed.
07 FAQ
Frequently asked questions
Is our data used to train public AI models?
No. We use providers and settings that do not train on your data, and we restrict each system to the minimum data it needs.
What happens when the AI is unsure?
We design explicit confidence checks and human-in-the-loop steps, so uncertain cases are routed to a person instead of guessed.
Can you integrate with our existing tools?
Yes. We connect to CRMs, help desks, email, spreadsheets, databases and most tools with an API or webhook.
How do you measure whether automation works?
We agree metrics up front, such as time saved, accuracy or resolution rate, and report against them after launch.
Other services
Have something ambitious in mind?
Tell us what you are building. We will come back within one business day with clear next steps.