A five-person team that works with your product, technology and risk owners through bounded delivery cycles.
Every role designed for one purpose: delivering AI solutions that work in production
Requirements & stakeholder alignment
Model development & integration
Compliance & security oversight
Production deployment & monitoring
Optional support as needed
Every team member brings specialized expertise to ensure your AI solution succeeds
Your single point of contact who translates business requirements into technical specs. Aligns stakeholders across business, compliance, and IT. Defines success metrics and ensures the solution delivers measurable ROI.
Build and fine-tune AI models using the latest techniques. Integrate with your existing systems and data sources. Develop custom solutions or leverage our library of pre-built AI workflows for faster delivery.
Ensures your AI solution meets regulatory requirements and internal policies. Implements guardrails, access controls, and audit trails. Partners with your CISO team to validate security before production deployment.
Takes your AI solution from development to production. Sets up monitoring, alerting, and performance tracking. Ensures reliable operation and handles ongoing maintenance and optimization.
A proven 4-week cycle that delivers production-ready AI solutions
Product Manager works with your stakeholders to define the use case, success metrics, and technical requirements. AI Engineers assess data availability and integration points.
AI Engineers develop the solution using our pre-built workflows or custom development. Rapid prototyping with daily feedback loops ensures we're building the right thing.
AI Governance Engineer validates compliance, security, and guardrails. End-to-end testing with your team ensures the solution works in your environment.
Deployment Specialist takes the solution to production. Monitoring and alerting ensure reliable operation. Knowledge transfer to your team for ongoing ownership.
Choose the engagement model that fits your AI transformation journey
One 4-week engagement to deliver a specific AI use case. Perfect for validating AI potential or solving a defined problem. Includes full delivery from requirements to production.
3 consecutive sprints delivering 3 production AI solutions. Ideal for organizations starting their AI transformation. Build momentum with continuous delivery and knowledge transfer.
Multiple PODs working in parallel on different workstreams. For enterprises with ambitious AI roadmaps. Coordinate across teams while maintaining delivery velocity.
Common questions about our AI Delivery POD model
An AI Delivery POD is a dedicated 5-person team consisting of a Product Manager, 2 AI Engineers, an AI Governance Engineer, and a Deployment Specialist. This team embeds with your organization and works as an extension of your internal team to deliver production-ready AI solutions.
The POD works in four-week cycles. Each cycle covers a bounded scope, working software, governance review and a release decision. Data, integration and control requirements determine how many cycles a workload needs.
The POD owns working software and test evidence alongside the delivery plan. The team works with internal owners and transfers implementation and operating knowledge throughout the engagement.
Yes. You can add additional PODs for parallel workstreams or reduce capacity between projects. Optional specialists like DevOps and Data Engineers can be added as needed for specific requirements.
No. The POD brings all the AI expertise needed. Your team provides domain knowledge and business context. Throughout the engagement, we transfer knowledge so your team builds AI capabilities over time.
Book a call to discuss your AI goals and how a dedicated POD can help you achieve them in weeks, not months.
Assemble Your POD