AI Agent Platforms & Integration
AI workflows that hold up outside the demo.
For teams whose AI pilots need to work with real systems, real constraints, and people in control. We design, integrate, and evaluate agents around the workflow, not a fashionable framework.
Where we help
Make one useful workflow reliable before scaling to the next.
Workflow discovery
Map the actual process, data sources, decisions, exceptions, and approval points. Identify what should be automated and what should stay with your team.
Platform and system integration
Connect agents to your tools with appropriate authentication, limits, monitoring, and fallback paths. Choose the framework, hosting, and model providers to fit the requirements.
Evaluation and handover
Test realistic cases, track failures and costs, document the deployment, and give your team a way to operate and improve it without depending on us.
Start with one workflow
A bounded first engagement, with a clear decision before a larger build.
1. Understand
We review the workflow, stakeholders, systems, data flows, and measures of success.
2. Design
We compare a small set of implementation options, their risks and operating costs, and where human oversight belongs.
3. Validate
We agree a scoped pilot and evaluation criteria so you can decide whether to build, change course, or stop.
OpenClaw may be a fit, but it is one option among agent frameworks and simpler custom services. Data residency depends on the entire setup, including the chosen model provider and connected systems.
Bring us the workflow that is stuck in demo mode.
We will help you identify the smallest useful step, including when an agent is not the right answer.