AI Labs by The Ops Toolbox
Trust & data handling
How engagements handle data, subprocessors, and intellectual property, so risk and legal can review before workshops.
What we deliver
- Written assessments, architecture reviews, and workshop facilitation
- Reference implementations and runbooks in your environment where scoped
- Playbooks, rubrics, and diagrams you can reuse internally
- Not: 24/7 operations, unlimited support tickets, or resale of model APIs
Data & confidentiality
- Client data stays in client tenants for pilots unless otherwise agreed
- NDA available before detailed technical review
- This public site uses seed/synthetic data in demos, not your documents
- Subprocessors limited to model providers you approve (Microsoft, AWS, OpenAI, Anthropic)
Security posture (engagements)
- Align to your IAM, private endpoints, and retention policies
- No training on your data via our use of commercial APIs (provider terms apply)
- Recommend content safety and human oversight for customer-facing channels
- Enterprise questionnaires supported during review engagements
IP & code
- Deliverables created for you are yours per statement of work
- Public portfolio patterns remain open for learning; custom work is separate
- We do not warrant example code fit for production without your review
Advise vs build
- Advise: assessments, reviews, roadmaps, eval design, governance workshops
- Build: pilot routes, integrations, schemas, scoped and handed off
- Your team owns production operations unless you engage separate managed services
Next step
Talk about your next pilot
Patterns, metrics, and runnable demos for architecture reviews and pilots, from The Ops Toolbox.
Prefer the web form? The Ops Toolbox.
- One workflow, clear metrics
- Your cloud, your keys
- Written handoff, not dependency