SERVICES · AI SYSTEMS · SRE · SOFTWARE
Schwen Scalability is Matthew Schwen's hands-on consulting practice for production AI systems, site reliability engineering, infrastructure automation, and custom software. The work is designed for founders and operators who need senior technical judgment and implementation from the same person. Engagements can begin with an architecture review, a focused build, or an embedded technical partnership. AI projects are treated as production systems: retrieval is grounded, tool access is bounded, evaluation measures whether the system works, and operational failure modes are designed before launch. Infrastructure work follows the same discipline through useful SLOs, controlled automation, incident readiness, and small blast radii. Every engagement is scoped directly with Matthew, delivered against explicit outcomes, and supported by a specialist bench when the work needs additional depth. The result is a system the client can understand, operate, measure, and extend after delivery.
LED PERSONALLY BY MATTHEW SCHWEN · FRANKLIN, TN ⇄ LEHI, UT · REMOTE ENGAGEMENTS
SERVICE 01
Reliability architecture, SLOs, incident response, automation, and operational design informed by twenty years of production infrastructure work.
SERVICE 02
Production AI systems including multi-agent orchestration, retrieval with cited answers, knowledge graphs, tool integrations, and honest evaluation harnesses.
SERVICE 03
Infrastructure automation that combines a trustworthy source of truth, controlled workflows, and AI interfaces without giving up operational guardrails.
SERVICE 04
Senior technical judgment for architecture reviews, AI strategy, build-versus-buy decisions, reliability planning, and production-readiness assessments.
SERVICE 05
Hands-on technical partnership or fractional CTO support for teams that need an operator inside the work, owning systems and carrying production responsibility.
SERVICE 06
Zero-to-one product builds, one-to-scale architecture, and technical diligence for founders, operators, and investors evaluating real production risk.
Matthew Schwen leads every engagement personally, from architecture through implementation and production operations. A specialist bench can support larger scopes without separating technical decisions from delivery.
The system is designed around grounding, controlled tool access, shared context, measurable evaluations, observability, and graceful failure—not a demo prompt that becomes somebody else's operational problem.
Yes. Engagements can be advisory, project-based, or embedded. The embedded model is appropriate when a team needs hands-on systems leadership or fractional CTO depth inside its existing delivery process.
Start with the conversational intake or email Matthew directly. The first step identifies the business outcome, current system, constraints, risk, and the smallest useful scope before a proposal is prepared.
Schwen Managed Platform offers Hosting, Database, Email, AI, and Care as separate monthly services, so you pay only for what actually runs. The customer portal, API foundation, code repository, and Project Brain are included with every project; builds and consulting are scoped separately. Rates are quoted with you once the scope is clear.
NEXT STEP
Tell Matthew what you are building, where it hurts, and what production has to mean. The intake preserves the context for a direct scoping conversation.