Services
The blueprint before the build.
End-to-end architecture for deploying agentic AI at enterprise scale. Not a conceptual diagram — a specification your engineering team can build from.
The problem
The wrong AI architecture costs years and tens of millions to unwind. Agent sprawl — uncoordinated agent deployments with no shared infrastructure, no governance layer, no integration strategy — is already emerging in enterprises that moved fast without planning. Architecture is the difference between scaling and chaos.
What you get
Every deliverable is designed to drive decisions, not sit on a shelf.
Target-State Architecture Document
Comprehensive technical specification (80-120 pages) with system diagrams, data flows, component specifications, and decision rationale.
Model Strategy Brief
LLM selection recommendations with evaluation criteria, cost projections, and vendor diversification plan.
Agent Topology Blueprint
Detailed design of agent roles, orchestration patterns, tool registries, and human-in-the-loop control flows.
Security Architecture Package
Threat model, control plane design, guardrail specifications, and compliance mapping.
Infrastructure Cost Model
3-year total cost of ownership projection across development, staging, and production environments at projected scale.
Implementation Sequencing Plan
Phased build-out roadmap with dependency mapping and critical-path analysis.
How it works
A structured process that moves fast without cutting corners.
Requirements Engineering
Weeks 1–3Business capability mapping to agentic patterns, non-functional requirements gathering (latency, throughput, compliance), integration inventory of existing enterprise systems.
Model Strategy
Weeks 2–4LLM selection and evaluation (proprietary, open-weight, fine-tuned), model routing and fallback design, cost modeling per workload class, vendor risk assessment.
Agent Topology Design
Weeks 3–6Agent role decomposition, multi-agent orchestration patterns, tool-use framework, memory architecture (short-term, long-term, shared), human escalation workflows.
Integration Architecture
Weeks 4–7Enterprise system connectivity (ERP, CRM, data lake, ITSM), API gateway design, event-driven integration patterns, data flow mapping.
Security & Control Plane
Weeks 5–8Zero-trust agent identity model, secrets management, output filtering and guardrails, audit logging architecture, role-based access control for agent capabilities.
Infrastructure Blueprint
Weeks 6–9Compute sizing and GPU allocation strategy, auto-scaling design, multi-region deployment patterns, disaster recovery, cost projections at scale.
Validation & Review
Weeks 8–10Architecture review board sessions, threat modeling, performance simulation, stakeholder sign-off.
Who this is for
- CTOs who need a defensible technical plan before committing millions to implementation
- Organizations with AI pilots that need an enterprise-grade foundation to scale on
- Technology teams building agentic capabilities who need architecture guidance from a firm that has built and operates one
Investment
Fixed-value pricing. No hourly billing. Total cost transparent before we start.
Typical investment range
$500K – $1.2M
Milestone-based fixed fee. Payments tied to milestone deliverables: 30% at requirements sign-off, 40% at architecture draft review, 30% at final delivery and acceptance. Includes architecture office hours for 60 days post-delivery.
Start with a conversation
The Readiness Assessment gives you a clear, quantified picture of your organization's agentic AI readiness — and a prioritized map of where to act first.
Book a Readiness Assessment