AI inside your operations.
We embed AI into your existing or new systems — data analysis, workflow automation, internal AI tools — built to ship and operated after launch.
Integration that produces measurable operational change.
Workflow audit
Map the current process and identify where AI replaces, augments, or amplifies human work.
Integration architecture
Selection of model providers (OpenAI, Anthropic, Google, open-source) and integration points into your existing systems.
Custom AI build
A custom tool, agent, or pipeline engineered to your data, your access controls, and your domain language.
Operations handover
Health metrics, accuracy benchmarks, escalation paths, and a post-launch refinement cadence — production is a process, not a date.
Built for operators, not pilots.
Mid-sized and enterprise teams in Hong Kong and Asia-Pacific that need AI running inside core workflows — not a ChatGPT subscription beside them. Best fit when there is real operational data, real users, and a measurable target outcome.
Diagnose, build, operate.
Two-week diagnostic
Audit the target workflow, set a baseline benchmark, and produce the integration plan with selected providers and architecture.
6 to 12 week build
Engineer the AI tool, agent, or pipeline inside your existing systems. Production-ready, with monitoring and escalation in place.
Ongoing operate
Monthly retainer for refinement against the original KPIs — model drift, data changes, edge cases, and accuracy uplift.
KPIs that match operational reality.
Process hours saved on the target workflow, accuracy uplift against the engagement-start baseline, production uptime, and the cadence of post-launch refinement. We commit to the numbers at kickoff and report against them every month.
Have a workflow that AI should be running?
Tell us about the workflow, the people doing it today, and the outcome you want measurably changed. We will come back with a scoping plan.