Production AI Engineering
A 60-minute working session with the engineers who ship AI to production. We map what you're building, the systems it has to integrate with, where it breaks at scale, and what 90 days of execution looks like. No slides. No theory.
Book a SessionA working session, not a sales pitch. Three things we map across the 60 minutes.
Your stack. The systems this AI has to integrate with (SAP, Epic, Salesforce, custom). Where it breaks at scale, under compliance, or under change management.
Who's shipping it. What expertise is missing on your side. Where you need pairs of hands, where you need a full engineering build, where your current team can carry it.
What 90 days of execution looks like. What ships in v1. What you need locked before you start. The decision call: green-light, don't build it, or build something else first.
Engineering and product questions, about your specific project, not a generic AI briefing.
What systems does this AI need to touch (SAP, Epic, Salesforce, custom internal systems)?
What data are you working with, and what does the pipeline actually need to look like in production?
What's the inference architecture (model, latency, cost), and where does it break at scale?
How does the AI inherit your compliance posture (SOC 2, HIPAA, GDPR, FedRAMP) without bolting it on later?
What does a working v1 look like in 90 days, and what ships first?
Fortune 500 medtech to digital health startups, public NYSE companies to regional providers. AI that holds up in production, audited under SOC 2, HIPAA, GDPR, and FedRAMP.
Short form. Two minutes. After you submit, we send you straight to the booking calendar.