Descubrimiento y Diseño
El plano completo para tu arquitectura multi-agente.
Plano del Sistema
Cada agente, herramienta y flujo de datos mapeado. Conoce tu cronograma, costo y ROI exactos antes de escribir una sola línea de código. Trabaja con nuestros arquitectos por 2 semanas, sal con un plan listo para construir.
Selecciona un Nodo
Spec InspectorHaz clic en cualquier nodo del mapa arquitectónico de arriba para auditar su funcionamiento detallado, prompt templates del LLM, herramientas disponibles y acciones de contingencia ante fallos.
We don't guess architectures. We design them.
You know you need a multi-agent system. But the path from "we need AI" to "it's running in production" is full of unknowns: What agents do we need? How do they work together? What do we build first? What's this actually going to cost?
Building without a blueprint is how projects double in cost and timeline. We've seen teams burn $50K on development only to realize the agents don't integrate with their ERP. Or worse, they build something that works in a demo but falls apart under real load.
We embed with your team for 2 weeks. We interview stakeholders, shadow operations, map every workflow, and design the complete agent topology. The output is a production-ready architecture document you can execute with any engineering partner, including but not limited to us. Your team gets certainty. Your budget gets a target. Your timeline gets a schedule.
Over two weeks, we produce a complete multi-agent architecture specification
Agent Topology
Which agents, their roles, tool assignments, communication protocols (supervisor/worker, mesh, pipeline), and handoff criteria.
Integration Map
Every API, database, and third-party service connection with data flow diagrams, latency budgets, and failure modes.
Guardrail Design
Human-in-the-loop gates, automatic rollback triggers, prompt injection prevention, confidence thresholds.
Observability Stack
Distributed tracing (OpenTelemetry-compatible), structured logging, decision audit trail, cost attribution per agent.
Cost Model
Projected LLM costs per agent per workflow per month, infrastructure costs, maintenance burden projection.
Implementation Roadmap
Phased build plan with milestones, dependencies, risk mitigation, and go/no-go criteria.
Tech-agnostic Assessment
We don't prescribe LangGraph, CrewAI, AutoGen, or n8n until we understand your team's existing infra, compliance requirements (HIPAA, SOC 2, GDPR), and operational constraints. Then we recommend the right stack, and document the rationale so your team understands the trade-offs.
Accuracy Guarantee
Cost projections ±15%, timeline ±1 week. If we miss by more, we adjust the blueprint at no cost.
Architecture designed for
Deliverables Included
Diagrama de arquitectura multi-agente (digital + imprimible)
Especificaciones por agente: rol, herramientas, guardrails, fallbacks
Documentación de flujo de datos entre sistemas existentes
Mapa de integración con evaluación de preparación de APIs
Proyecciones de ROI por fase de implementación
Modelo de costos (LLM, infra, mantenimiento mensual)
Hoja de ruta de implementación con hitos y dependencias
Propiedad total de la IP de todos los diseños y documentación
The blueprint gave us cost projections within 12% of actual build costs. That kind of accuracy saved us from under-budgeting by $40K.
Frequently Asked Questions
We already have a technical team. Can we build from the blueprint ourselves?
Absolutely. The blueprint is designed to be executed by any competent engineering team. We've had clients build with their internal team, with us, or with a third agency, all from the same blueprint. That's the point: you own the plan, you choose the execution.
How is this different from the Agentic Audit?
The Audit looks at ONE workflow to validate opportunity. The Blueprint designs the ENTIRE system architecture, multiple agents, all integrations, full topology. The Audit answers "should we build?" The Blueprint answers "exactly how do we build?" They're designed to work together, but you can start with either.
What information do you need from us? How much time will it take our team?
Two weeks of access: stakeholder interviews (5-8 people, 30 min each), read-only access to relevant systems, and a point of contact for daily questions. Your team invests roughly 5-8 hours total across two weeks. We do the heavy lifting.
How accurate are the cost and timeline projections?
±15% on cost, ±1 week on timeline across 34+ implementations we've refined this methodology against. If we miss by more than that, we update the blueprint at no cost. The confidence comes from real data, not optimism.
What if we decide not to build after seeing the blueprint?
That's a win, you just saved yourself the cost of building the wrong system. The blueprint itself has value as a strategic document: you now know exactly what your AI architecture should look like, what it costs, and what it would take. Many clients use blueprints to secure internal budget for the build phase.
Do you guarantee the blueprint will work in production?
We guarantee the architecture is technically sound, buildable, and costed within ±15%. Production success depends on execution quality during the build phase. If you build with us, we guarantee the outcome. If you build with another team, we guarantee the plan is complete enough for them to execute.
A complete architectural sprint that eliminates guesswork. Walk away with a build-ready plan, accurate cost projections, and the confidence that every dollar you invest in development goes toward the right architecture.
Inversión
Desde $7,000
2 semanas
A production-ready architecture document. Every agent, tool, data flow, and cost projection mapped. You own the plan, you choose who builds it.
Solicita un Plano
Quién construye esto
Oscar Oliva, Arquitecto de Sistemas de IA y fundador de Waryl.Con sede en Miami. Cada sistema es diseñado por mí personalmente, no delegado a un equipo junior que nunca conocerás.