Innovation Labs: AI co-development in 14 weeks.
A residency-style engagement combining co-creation, DevSecOps, and MLOps CI/CD/CT to launch faster and keep capability in-house. Build production-grade AI in 14 weeks—co-developed with your team so the solution is inherited, not just delivered.
Faster Time-to-Value
MVP-first delivery with measurable outcomes.
Lower Risk
Co-creation and MVP-first approaches de-risk transformation.
Internal Ownership
Pairing and mentoring embed practices that last.
Why “inherited, not delivered”
Inherited means the software and the skills transfer together: the product, pipelines, documentation, and operating know-how are jointly created and then handed over with full ownership to your team.
This approach draws on proven build-operate-transfer principles and open-innovation residencies that upskill teams, reduce risk, and accelerate time-to-value. Your teams co-create every step—requirements, code, pipelines, and ops—so handover is natural, not an afterthought.
What’s Included
Co-creation & Enablement
Blended team using design thinking, Agile, and DevSecOps. One-on-one pairing, mentoring, and open practices to instill repeatable delivery habits.
MLOps Foundations
Automated CI/CD/CT pipelines, model monitoring, and production-grade retraining workflows.
Transfer-Ready Artifacts
Repository, infrastructure as code, documentation, runbooks, and skills handover.
Production-Ready MVP
A prioritized AI MVP aligned to business value, ready for deployment.
14-Week Delivery Plan
Weeks 1-2
Frame Value and Feasibility
Discovery, research, and solution shaping aligned to measurable outcomes.
Weeks 3-4
Experience Design & Technical Spikes
Backlog creation with security and operations embedded from the start.
Weeks 5-10
Iterative Build
Paired delivery, DevSecOps practices, and incremental demos toward a shippable MVP.
Weeks 11-12
Hardening and Scale-Readiness
Reliability, performance, and security testing across environments.
Weeks 13-14
MLOps Finalization & Transfer
CI/CD/CT pipeline finalization, knowledge transfer, and production transition.
Who Benefits
Organizations
Seeking rapid AI product delivery without outsourcing their future, and who value capability building and autonomy.
Teams
Modernizing delivery with DevSecOps and MLOps to improve release frequency, reliability, and time-to-market.
Frequently Asked Questions
Ready to co-build your next AI product?
Request an Innovation Labs scoping session to confirm scope, risks, and success metrics for the 14-week engagement.