We design, build, and operate the AI systems that move your business — not demos that don't survive a Monday.
Most enterprise AI projects stall in the same place: the strategy is clear, the use case is real, but no one in the building can ship a production-grade system. Your engineering team is fully booked. Generic agencies hand you a demo. In-house "AI initiatives" don't survive their first compliance review. Enterprise AI Studio is the implementation team you bring in when the strategy is decided and you need it built — properly, securely, and in production.
These are anonymized and representative case-study patterns. Named customer stories are published only after customers approve disclosure.
A B2B support workflow that answers repeat questions from approved knowledge, customer account state, and policy constraints while escalating low-confidence cases to humans.
A document pipeline that extracts key clauses, compares them against a company playbook, and routes exceptions to legal with source-page provenance.
A post-call workflow that turns transcripts into buyer signals, CRM updates, and sales follow-up drafts while keeping reps in charge of what gets sent.
"The useful proof is not a flashy demo. It is a working workflow with evals, escalation, and a runbook."
Production launch principle"Governance belongs in the build, not in a cleanup meeting after the prototype already spread."
Governance principle"The model is one component. The operating system around it decides whether the AI work survives Monday."
Operating principleA single AI system, fully scoped, designed, built, and shipped on a fixed timeline and budget. We bring engineering, evals, and production discipline; you bring workflow knowledge.
Examples: support agents, document review, internal Q&A, sales call analysis, workflow automation.
Scope a sprintDedicated senior AI engineering bandwidth on retainer. We become your AI team — building new systems, optimizing existing ones, running evals, and handling production incidents.
Includes: engineering hours, monthly evals, quarterly reviews, on-call coverage.
Discuss retainerAI governance, security, and operating-model readiness. We design policies, audits, and infrastructure so your AI work survives security review and scales without surprises.
Includes: governance design, security review, vendor policy, eval infrastructure, executive briefing.
Review your readinessOne call to map the use case, technical constraints, and success metrics.
A detailed scope document: architecture, milestones, pricing, team.
Architecture, eval plan, and production criteria locked in.
Weekly stakeholder checkpoints; live demo at every milestone.
System live with monitoring, runbook, and 30 days of post-launch support.
Knowledge transfer to your team, or transition to a fractional engagement.
Answer questions from policies, SOPs, customer history, and contracts.
Review, classify, and route inbound documents with audit trails.
Handle tier-1 tickets, escalate intelligently, learn from feedback.
Call analysis, follow-up drafting, CRM hygiene.
Onboarding, IT, HR, and finance support across the organization.
Multi-step processes across email, CRM, ticketing, billing.
Through our partnership with ProductExec, you can move from "what should we build" to "build it" without re-briefing.
Every system ships with evals, monitoring, fallback paths, and runbooks. No magic prompts that break next week.
Designed for thousands of repeated runs, not impressive single demos.
Audit trails, security review, escalation, and compliance from day one.
Claude, OpenAI, open-weight; routed by task criticality, not vendor loyalty.
We've shipped AI systems that survive Monday. We know what production really means.
Enterprise AI Studio is led by Kevin Owens, a product and transformation executive with CPO-level experience across B2B SaaS, productivity, healthcare workflow, and AI-enabled operating-model work. We work alongside ProductExec and bring in specialist engineers for each engagement.
Enterprise AI Studio is a specialized AI implementation and engineering consulting firm that helps enterprises build production-grade AI systems. We move organizations beyond pilots and proofs-of-concept to AI solutions that integrate seamlessly with existing workflows, survive security and compliance reviews, and scale reliably. Our services include AI implementation sprints (4-8 week fixed-scope projects), fractional AI engineering (ongoing retainer-based support), and enterprise AI governance consulting. We are model-agnostic, designing systems with Claude, OpenAI, or open-weight models based on task requirements, not vendor preference. Founded and led by Kevin Owens, a CPO-level executive with deep experience in AI-enabled operating models and production AI systems.
ProductExec helps you decide what AI to build and how it fits your operating model. Enterprise AI Studio is the team that builds it. Many clients work with both — strategy first, then implementation.
No. We augment your team. We typically build the AI core, integrate it with your systems, and hand off to your team or stay on retainer for continued AI work.
We're model-agnostic. We pick the right model for each task — frontier models for judgment-heavy work, cheaper long-context options for synthesis, open-weight where appropriate.
Implementation sprints range from $40K-$120K. Retainers from $8K-$30K/month. Governance projects from $25K-$60K.
Yes. We sign mutual NDAs before any scoping conversation.
Enterprise AI Studio is a specialized AI implementation and engineering firm. We help enterprises move beyond AI pilots and POCs to production-grade AI systems that solve real business problems. We design, build, and operate AI workflows that integrate with your existing systems, survive audit, and scale reliably.
Every system we ship includes: evals that define success criteria, monitoring to track real-world performance, fallback paths for failures, and runbooks for operations. We design for thousands of repeated runs, not single impressive demos.
Governance is baked into everything we build. We include audit trails, security reviews, role-based access control, and escalation protocols from day one. If your organization has compliance requirements (SOC 2, HIPAA, etc.), we design the AI system to support them, not work around them.
Yes. We typically own the entire integration — APIs, webhooks, database connections, CRM/ERP linking, whatever your stack requires. We ensure the AI system fits seamlessly into your workflows without requiring your team to rewire their operations.
That's common. Our discovery call is free and specifically designed to map your constraints and uncover high-leverage use cases. We help you prioritize what to build first, then scope the work you want to move forward on.
Implementation sprints are 4-8 weeks, depending on use case complexity and system integration scope. We break the timeline into clear milestones and deliver working demos at each one.
Yes. Handoff and training are included in every sprint. We provide documentation, runbooks, and hands-on knowledge transfer so your team can monitor and iterate on the system. Alternatively, stay on a fractional engineering retainer for ongoing support.
Tell us about your use case. We'll map the constraints and the fastest path to production — no sales deck, just a direct conversation.