AI agents that ship, not just demo.
I help SaaS founders, startup CTOs, and product teams design, build, and integrate AI agents that hold up in production — grounded in real backend engineering, not slideware.
Production engineering background in Go & Ruby on Rails, enterprise identity (SCIM / SAML), and AI agent integration — the same rigor enterprise auth systems demand, applied to AI.
Engagements built for teams who need AI to actually work.
Four ways to work together, from a focused audit to an embedded advisory seat.
AI Readiness Audit
A focused audit of your product, data, and workflows to find the highest-ROI agent opportunities — with a prioritized roadmap, not a buzzword report.
Custom AI Agent Development
End-to-end design and engineering of production-grade agents: tool use, memory, and guardrails, integrated with your existing APIs, auth, and data layer.
Enterprise AI Integration
Bringing AI into complex enterprise environments — identity-aware, scoped, and auditable, built with the same rigor as SCIM/SAML-grade systems.
Fractional AI Advisory
An embedded senior voice for founders and CTOs: architecture reviews, build-vs-buy calls, and team upskilling, on retainer.
What working together could look like.
I'm early in formally taking on AI consulting clients, so these are illustrative scenarios based on problems I solve — not published case studies. Ask me for references from my engineering work.
Support queue outpacing headcount
A growing SaaS team's support queue scales faster than they can hire.
Audit support data, then design a tiered agent that resolves common tickets autonomously and routes the rest with full context attached.
Faster first response, without growing headcount or sacrificing customer trust.
AI features blocked by compliance
A B2B platform wants AI features, but legal and security flag data-handling risk.
Design an integration architecture with scoped permissions, audit trails, and data boundaries built in from day one — the same discipline used in SCIM/SAML systems.
AI features ship without reopening the compliance conversation.
Build vs. buy, under a runway clock
A founder-led startup needs to decide between a custom agent and stitched-together AI tools.
Rapid technical and cost assessment comparing both paths, grounded in the team's actual roadmap and runway.
A clear decision made in days, not months — and no wasted engineering spend.
Engagements built around outcomes, not hours.
Every engagement is scoped to your problem. These are starting points — book a call to talk specifics.
AI Readiness Audit
2–3 weeks
- Technical & workflow audit
- Opportunity prioritization
- Roadmap presentation
Custom AI Agent Build
6–10 weeks
- Full agent design & build
- Integration with existing systems
- Production deployment support
Enterprise Integration & Advisory
Project-based or ongoing retainer
- Enterprise-grade AI integration
- Or monthly embedded advisory
- Architecture & security review
Ranges reflect typical project scope and are starting points, not fixed quotes — final pricing depends on scope discussed on a call.
Let's build your AI advantage.
Book a 30-minute strategy call. No pitch deck, no pressure — just a real conversation about whether this is a fit.