Pilot. Build.
Scale.
A simple loop that keeps control and pace in balance.
Four phases that never skip the essentials.
Every engagement flows through discover, design, build, and scale loops so teams stay aligned.
Discover & align
Identify friction, data sources, and stakeholders.
Design control layers
Define guardrails, approvals, and measurement before code starts.
Build & integrate
Ship the agent, product, or connector with continuous feedback.
Scale & enable
Roll out, train teams, and hand off operations.
Next step
Invite us to your discovery workshop.
Keeping agents reliable once they launch.
We stay close to your teams with observability, guardrails, iteration rituals, and support.
Observability & insight
Understand everything agents do with rich telemetry.
Safety & guardrails
Guard critical actions with approvals, policies, and isolation.
Iteration rituals
Weekly loops keep the roadmap fresh and aligned.
Support & enablement
We stand behind launches with training and on-call options.
Dockerised agents in plain language
A simple model: an AI worker lives in a container, gets the keys you approve, and reports everything it does.
Agents run in clean containers
Each AI agent ships as a Docker image with its own tools, prompts, and guardrails.
Access stays scoped
We control credentials, file access, and network reach so the agent only touches what it needs.
Connect to your stack
Agents call your CRM, ERP, or APIs through vetted connectors you approve.
Humans stay in the loop
Important actions can pause for sign-off. Every step is logged for easy review.
Scale gradually
Start with one workflow, then add more agents as confidence and ROI grow.
Deploy where you want
Run agents on your cloud or on-premise infrastructure—your data never leaves your perimeter.
Under the hood we lean on containers, scoped API keys, detailed logging, and observability so agents stay helpful and compliant.
Ready to automate intelligently?
Share your workflow targets and receive a tailored automation plan within 48 hours.