# The Method | Agent Blueprint Source: https://agentblueprint.ai/method Assess · Prioritize · Blueprint · Deploy # AI agents need a blueprint, not another slide deck Agent Blueprint is the methodology and platform behind our AI agent engagements. We map your organization, rank the use cases worth doing, design the agent teams, and stay through deployment. The blueprint is machine-readable, so your coding agents build from it, and it stays current as your business changes. Assess · Prioritize · Blueprint · Deploy ## How It Works How an engagement runs, from first assessment to agents in production 1ASSESS ### Start from your operating reality. We build a structured profile of the organization: industry, systems, processes, constraints, goals. Then we score AI readiness across the dimensions that decide whether agents will actually work. Every later recommendation cites this evidence. 2PRIORITIZE ### Rank the use cases worth doing. Candidate agent use cases get scored by impact and feasibility, then force-ranked. You get a portfolio with clear priorities and honest reasoning, not a list where everything is marked high. 3BLUEPRINT ### Design the agent team, with the economics attached. Each approved use case gets a full design: agent roles, orchestration pattern, tools, integration points, guardrails, and human approval gates. The business case is deterministic, computed from your numbers, with costs and payback stated plainly. 4DEPLOY ### Build with coding agents. Measure against the plan. Blueprints export as Agent Skills directories that coding agents like Claude Code, Codex, and Cursor build from. Rollout is phased with test gates. Deployed agents report performance back, and the blueprint stays current instead of aging in a drawer. What We Deliver ## What's in a Blueprint Every engagement produces a working blueprint: evidence, priorities, designs, economics, and files your coding agents build from 01 ### Business Context First Everything starts from a structured profile of your organization: systems, processes, constraints, and goals. If a recommendation is in the blueprint, it traces back to your context, not a template. 02 ### Readiness, Measured AI readiness scored across data, process, technology, people, and governance. Recommendations link back to this evidence, so you can see why each use case made the cut. 03 ### A Ranked Use-Case Portfolio Use cases scored by impact and feasibility, then force-ranked. Priorities are explicit, and so is the reasoning. Not everything gets to be high priority. 04 ### Agent Team Designs Team composition, orchestration pattern, tools, triggers, guardrails, and human approval gates for every use case. An interactive visualizer maps how the team works before anything gets built. 05 ### Deterministic Business Cases Costs, savings, and payback computed from your own numbers. No fudge factors, no invented multipliers. If the math doesn't work, the blueprint says so. 06 ### Machine-Readable Delivery Blueprints export as Agent Skills and serve over MCP, so coding agents build from them directly, on whatever platform you run. After deployment, performance flows back in and the blueprint stays current. FAQ ## Frequently Asked Questions Agent Blueprint gives AI agents one plain page: what an agent can read, what it can change, and who has to say yes. Anyone can have a coding agent draw its own blueprint. For companies, it is also a methodology and platform for designing and deploying AI agent teams, producing a living blueprint for the organization: an AI readiness assessment, a ranked use-case portfolio, agent team designs, deterministic business cases, and implementation plans. Blueprints are machine-readable, so coding agents like Claude Code, Codex, and Cursor build from them directly. The method runs in stages: capture the organization's business profile, assess AI readiness, rank candidate use cases by impact and feasibility, design agent teams with orchestration patterns and guardrails, build a deterministic business case, and plan a phased rollout with test gates. Humans review every stage. After deployment, agent performance is tracked against the business case and the blueprint is updated, not archived. The personal blueprint is: paste one line into your coding agent, with no sign-up, at agentblueprint.ai/personal. Enterprise work is delivered through hands-on engagements. Client teams get platform access, API tokens, the CLI, and the MCP server as part of an engagement. To see how it would work on your organization, use the contact form at agentblueprint.ai/#contact. Anyone who runs a coding agent and wants a plain picture of what it can do, and organizations that want AI agents in production with evidence behind every decision. For organizations, we work directly with your team during an engagement, and your coding agents consume the blueprint through Agent Skills exports and the MCP server. Install via npm: npx agentblueprint. The server connects a coding agent to your organization's blueprint registry, with tools for listing and downloading blueprints, business cases, and implementation plans. It uses stdio transport and works with any MCP-compatible agent. An API token issued with your engagement is required. Free, Apache 2.0 licensed Agent Skills at github.com/agent-blueprint/agent-blueprint-skills: foundation skills (agent-fundamentals, servicenow-ai-agents, agent-deployment, research-agent) and blueprint patterns for common agent teams (IT service desk triage, procurement RFx processing, customer onboarding). Install via npx skills add agent-blueprint/agent-blueprint-skills. A typical strategy deliverable is a document that starts aging the day it lands. An Agent Blueprint is a living artifact in a registry: recommendations link to readiness evidence, the blueprint exports as files coding agents build from, and performance data flows back in after deployment. When the business changes, the blueprint changes with it. Contact Us ## Get In Touch Want to see how AI agents could work in your business? Get in touch and we'll walk you through it. Name Email Company Message (optional) ### Connect With Us Connect with the team on LinkedIn. [Chris Faulkner](https://www.linkedin.com/in/cifaulkner)[Amy Glencross](https://www.linkedin.com/in/amyglencross)[Agent Blueprint](https://www.linkedin.com/company/agentblueprint)