AI Architecture
AI and ML workflows built around your existing systems, cloud environment and business processes.
How it works
Start with a free discovery chat about a process you want to improve. We agree one small question to test with a free quick prototype using suitable sample data: what would help your team, what information does it need, and how will we know it works?
We agree what can run automatically and what needs human approval. For larger projects, we work with your engineering, security and cloud operations teams on integration, evaluation and deployment.
Highlights
Your systems and access controls
Connect AI workflows to your existing systems and data sources. Work with your security team on permissions, data handling and where each model runs.
Evaluation and human review
Test against representative examples and agreed acceptance criteria. Define which actions run automatically, which need approval and how staff can correct or stop the workflow.
Monitoring and handover
Plan logging, alerts, usage limits and recovery with your operations team. Document the architecture and operating procedures, and agree ongoing support before launch.
Deployment
Choose a managed service or a solution deployed in your own environment, with offline operation where the task and hardware support it. Architecture, security reviews and cloud operations are quoted separately. We agree deliverables, infrastructure, model usage and support costs before production work begins. See our small-project pricing or explore the demos.
Talk to us
Tell us about the workflow you want to improve. The discovery chat and scoped quick prototype are free; larger architecture and integration projects receive a separate quote. You can also contact us from the home page.