SOFTWARE COMPANIES
Products whose customers increasingly want to use AI assistants to complete tasks.
Agent Ready · AI Infrastructure
Make your software usable by AI agents.
Agent Ready turns the workflows and capabilities already inside your product into secure, discoverable tools that AI agents can use.
Your customers are starting to interact with software through AI.
Software interfaces are changing.
Customers increasingly expect AI assistants and agents to:
- find information
- trigger workflows
- complete tasks
- retrieve data
- take actions across software products
That creates a new requirement for software companies:
Your application cannot only be usable by people.
Its capabilities also need to be usable safely by agents.
The Agent Gap
Your product already knows how to do the work. Agents just cannot access it safely.
Most software products already contain valuable workflows:
- create records
- retrieve account data
- generate reports
- submit requests
- update objects
- start workflows
- perform business actions
The problem is not rebuilding those capabilities.
The problem is exposing the right ones to AI agents with appropriate authentication, permissions, context, and execution boundaries.
Turn existing product workflows into agent-ready tools.
Craftsman AI works with your existing product architecture to identify high-value workflows and expose them through a secure agent interface.
A typical Agent Ready implementation includes:
- defining the tools agents should be allowed to use
- mapping those tools to existing product workflows
- tenant-aware authentication
- authorization boundaries
- MCP endpoint implementation
- structured tool descriptions
- error handling
- agent-platform integration
- production testing
The Bridge
Keep your product. Add the agent layer.
- 01Your Existing Software
- 02Agent Ready Tool Layer
- 03Authentication & Permissions
- 04MCP Endpoint
- 05AI Agents
Agent Ready is not a replacement platform.
It sits between your existing product capabilities and the AI systems that need to use them.
Your core application remains authoritative.
Agent Ready Implementation
A focused path to production agent connectivity.
$15,000
- Up to 5 tools or workflows
- Tenant-aware authentication
- MCP endpoint
- Connection to up to 3 supported agent platforms
- Tool definitions and workflow mapping
- Implementation testing
- Production handoff
Not every feature needs to become an agent tool.
The best agent tools usually represent clear, useful business actions.
Examples may include:
- retrieving account information
- creating a business object
- checking status
- submitting a request
- generating a structured output
- updating an approved field
- triggering an existing workflow
The objective is not to expose your entire backend.
The objective is to give agents the smallest useful set of capabilities they need to complete meaningful work.
Security & Tenant Boundaries
An AI agent should never become a shortcut around your product's permissions.
Agent Ready implementations should preserve the same core security principles your application already relies on.
That includes:
- authenticated users
- tenant isolation
- permission boundaries
- explicit tool scopes
- limited actions
- auditable execution
Built for the emerging agent ecosystem.
Agent Ready can expose supported tools through MCP so compatible agent systems can discover and use approved capabilities in a structured way.
MCP is part of the integration layer—not a replacement for your application, authentication model, or business logic.
Who it is for
VERTICAL SAAS
Platforms with structured domain workflows that can translate well into agent tools.
ENTERPRISE APPLICATIONS
Internal or customer-facing systems where agent access needs clear authentication and permission boundaries.
API-ENABLED PRODUCTS
Software that already has useful APIs or service-layer workflows that can be adapted into agent tools.
This is not a chatbot bolted onto your website.
Agent Ready is infrastructure.
It is designed to make real software capabilities usable by AI systems in a controlled way.
It is not primarily:
- a customer-support chatbot
- an embedded chat widget
- a generic automation platform
- a replacement for your core API
- a rebuild of your existing product
FAQ
Frequently asked questions
What is MCP?
MCP, or Model Context Protocol, is a standard that can allow compatible AI systems to discover and interact with structured tools and data sources.
Do I need to rebuild my software?
No. Agent Ready is designed to work with existing software capabilities and workflows.
Does my product need an API already?
An existing API can make implementation easier, but the right approach depends on the application's architecture.
How many workflows are included?
The standard Agent Ready implementation includes up to five tools or workflows.
Which AI platforms can you connect?
The standard offering includes connection to up to three supported agent platforms.
Is this multi-tenant?
Tenant-aware authentication is part of the standard Agent Ready offering.
Your customers are going to expect agents to use your software.
Make sure those agents have a secure, intentional way to do it.