Email and calendars (Microsoft 365 / Google Workspace)
AI Agent Development
AI Agents That Automate Real Work
Codefate builds production-ready AI agents that research, draft, route, and take action through your tools and APIs. We design reliable workflows with approvals, logging, and safe fallbacks so your automation stays accurate and controllable.
Intelligent Systems
What we build
Workflow AI Agents
We build agents that follow multi-step workflows like intake triage, research, drafting, routing, and follow-through so work moves faster with less manual effort.
Tool-Using Automation
We connect agents to your tools and APIs so they can take real actions in email, ticketing, CRMs, databases, and internal systems instead of only generating text.
Reliable Agent Systems
We design guardrails, approvals, and safe fallbacks so agents behave predictably, stay controllable, and know when to stop and ask for human input.
Digital Transformation
Outcomes
Faster turnaround
Productivity
Automated research, drafting, and routing reduces cycle time.
Fewer mistakes
Quality
Guardrails and structured steps reduce errors and bad outputs.
Less manual work
Automations
Agents execute repetitive tasks with approvals when needed.
More consistent execution
Reliable
Standardized workflows improve quality and repeatability.
More usable knowledge
Calrity
Retrieval across internal docs makes answers easier to find and reuse.
Reliable
Built for production, not demos
Agents are only useful when they behave predictably. We build for reliability with safe fallbacks, structured steps, action approvals, and observability so you can measure quality over time and confidently expand automation.
Integration
Integrates with the tools you already use
Chat and collaboration (Teams / Slack)
Ticketing and support workflows
CRMs and business systems
Databases and data warehouses
Internal APIs and line-of-business apps
FAQ's
AI Agent Development FAQ
Learn how AI agent development works, what systems agents can connect to, and how we reduce errors with structured workflows and human oversight.
A chatbot answers questions. An agent follows a workflow and can take actions through tools and APIs, with approvals for sensitive steps.
We use structured steps, guardrails, safe fallbacks, approvals for actions, and monitoring so behavior stays controllable.
Yes. We add retrieval (RAG) so the agent can search internal sources and respond with grounded context, often with citations depending on the use case.
Most teams start with one workflow and deliver a usable pilot quickly, then expand iteratively after it proves reliable.
Contact Us
Ready to automate a workflow with an AI agent?
Tell us what you want the agent to do, what tools it should use, and where approvals are required. We’ll recommend the fastest path to a production-ready implementation.