Dropp Cortex scales AI deployment to fit the organization — from a focused pilot for a small team to infrastructure built for enterprise-wide rollout.
Plan Your AI TransformationAn enterprise rollout and a small team's first AI pilot need different things: different infrastructure, different governance, and a different definition of “done.” We scope AI engagements to match the organization actually asking for one, whether that means a contained pilot that proves value before a bigger commitment, or infrastructure designed from the start for enterprise scale, security review, and multi-team rollout. Either way, the same engineering standard applies — the system is built to keep running after the initial rollout, not just to demo well once.
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Define the pilot or rollout size that matches what the organization is actually ready for.
Architect the governance, access control, and infrastructure the deployment needs.
Ship a contained version that proves value before a larger commitment.
Expand infrastructure and rollout to additional teams once the pilot holds up.
Train teams and keep the system operating as adoption grows.
No — most engagements start with a contained pilot for one team, then scale once it's proven value.
The same engineering standard applies at either scale — the difference is in infrastructure and governance, not effort.
You do. Access control and data governance are part of the design from the start, not an afterthought.
Yes — integration with your existing systems is typically part of the same engagement.