Optimize and Sustain.
Scale What Works.
What you've built shouldn't require you to keep rebuilding it. EVOLVE is how CleanSlate helps organizations govern, optimize, and grow the AI and cloud infrastructure they've already put into production.
Deployment Is Not the Finish Line.
AI models drift. Data changes. Business requirements shift. The system that performed well in month one needs active care in month twelve to keep performing at the same level, and new use cases that weren't possible at launch become possible as the foundation matures.
Most organizations reach production and then face a choice: hand the system to an internal team that didn't build it and doesn't have the depth to maintain it, or stay engaged with the team that does. EVOLVE is that continued engagement, scoped to what you actually need, not a standard support contract.
A client who automated contract review with an AI model that's now processing real agreements doesn't want to hand that model to a junior IT team. They want the engineers who built it to stay accessible, keep it calibrated, and extend it when requirements change.
Tier 1 helpdesk. 24/7 on-call for routine infrastructure. Server monitoring. Those things exist and they matter. They're just not where CleanSlate's expertise creates the most value. EVOLVE is the work that requires knowing what you built and why.
Govern. Optimize. Scale. Realize.
Every EVOLVE engagement is organized around four outcomes. The mix depends on where you are and what you need, but all four are in play for any organization running production AI.
Govern
Establish trust, security, and responsible AI practices across everything you've deployed. Access controls, audit logging, output monitoring, bias detection, and the accountability model that lets leadership approve continued production use. AI governance isn't a checkbox. It's an ongoing program that has to adapt as the models, the data, and the regulations change.
Optimize
Measure performance and drive efficiencies across your AI and cloud infrastructure. Models drift. Data changes. Usage patterns shift. Optimization is the ongoing work of making sure what you built in month one still performs in month twelve, and costs less per unit of value than it did when you started. Cloud costs come down and stay down when someone is actively managing the environment.
Scale
Expand capabilities across the enterprise. A use case that worked in one business unit gets evaluated for rollout across the organization. A model that handles one workflow gets extended to related workflows. Scaling isn't just growth. It's the systematic expansion of what's proven to work, with the same rigor applied to new deployment that went into the original.
Realize
Deliver measurable business outcomes tied back to the original business case. The assessment that started the engagement produced a projected ROI. Realize is where we go back to that projection and measure what actually happened: cost reduction identified, process cycle times changed, headcount avoided, revenue influenced. The results get reported, not assumed.
Sustain What You Built. Then Grow It.
EVOLVE runs as three distinct managed services, matched to what you put into production. Some organizations want CleanSlate deeply engaged long-term. Others want to build their own capability and keep us on call. Both are valid, and each service is scoped around what your team can carry and what it can't.
AI Hypercare and MSP
Models drift. Data changes. Business requirements shift. The system that performed well in month one needs active care in month twelve to hold that performance, and use cases that weren't possible at launch become possible as the foundation matures. Senior AI engineers stay retained and available, so when something breaks in production or you need to extend what you built, you are not starting over with someone who has never seen the architecture.
Cloud Architecture Hypercare and MSP
Once you are running on AWS, the work shifts to keeping the tenant well-architected as it grows. We help you stand up a cloud center of excellence covering observability, FinOps, and continual updates, so expansion happens deliberately instead of accumulating. The environment gets better as it gets bigger rather than harder to reason about.
Cloud Modernization Hypercare and MSP
Plenty of organizations lift and shift to AWS, then stall. Optimizing those applications is continuous work, and it needs engineers who do it every day. We help you mature on AWS, then reinvest what you save into AI or other AWS services. Capability transfer is built in: your engineers are trained, the architecture is documented, and our footprint reduces as your team grows into the work.
You Couldn't Afford This Bench
The expertise required to maintain, govern, and extend production AI isn't available in a single hire. It's a team of specialists who've solved these problems before, available as needed, without the overhead of full-time employment.
EVOLVE Is the Third Phase of SCALE
The SCALE model doesn't end at deployment. Most of CleanSlate's ongoing revenue comes from organizations in the EVOLVE phase, clients who activated with us and chose to stay engaged because the work of governing, optimizing, and extending what they built requires the same expertise that built it.
EVOLVE is also where new opportunities surface. Optimization work reveals new use cases. Governance programs identify new datasets. What starts as maintenance often becomes the next ACTIVATE engagement.
How the SCALE Model Works →COBRA™ maps your environment, identifies opportunities, and produces a roadmap. The foundation everything builds on.
We deploy production-grade AI using our accelerators and IP. Roadmap to working systems, measured in weeks.
Govern, optimize, scale, and realize. The ongoing work of making sure what you built keeps compounding value.
Let's Talk About What EVOLVE
Looks Like for Your Organization
Every EVOLVE engagement is different. The right starting point is a conversation about what you've built, what you're running, and what you need to protect and grow it.