AI & Machine Learning
AI Agents & Skills Engineering
AI agents, tools and skills that take on real work, integrated with your systems, with guardrails, human oversight and the security of a production system.
Overview
Agents that do the work, safely.
AI agents go beyond answering questions: they plan steps, call tools, read and update systems, and complete multi-step tasks. That makes them powerful, and it makes security, permissions and oversight essential. CDT engineers agents and the skills and tools they use, integrates them with your systems, and builds in the controls that keep them doing only what they should.
What's included
Capabilities
Agent design and development
Task-focused agents and multi-step workflows that plan, use tools and hand off to people at the right points.
Skills and tool development
Reusable skills, custom tools and integrations, including servers built on open standards such as the Model Context Protocol (MCP), that give agents safe, specific capabilities.
Enterprise integration
Connecting agents to ticketing, knowledge bases, security tools, collaboration platforms and line-of-business systems through controlled interfaces.
Guardrails, oversight and evaluation
Least-privilege permissions, human approval for consequential actions, logging, and testing of agent behavior, including resistance to prompt injection.
How we work
A proven, repeatable process.
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1
Discover
We identify the use cases worth pursuing, the data available, and the security, compliance and operating constraints.
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2
Design
Architecture, model selection and security are decided together, including where data and models can live.
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3
Build
We develop, integrate and evaluate against the tasks that matter, with real users in the loop.
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4
Secure & validate
Adversarial testing, guardrails and documentation prepare the system for authorization and real use.
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5
Deploy & operate
We deploy to your environment, from cloud to air-gapped, and monitor, measure and improve it over time.
What is the difference between a chatbot and an agent?
A chatbot answers questions. An agent can take actions: look things up, call tools, update records and complete multi-step tasks. That extra capability is what makes agents useful, and why they need careful permissions and oversight.
What are skills and tools?
They are the specific capabilities an agent can use, such as searching a knowledge base, opening a ticket or querying a security tool. Well-designed skills are narrow, tested and permissioned, so an agent can only do what each skill allows.
Related services
Often paired with
AI & Machine Learning
AI/ML Development & Engineering
LLM applications, retrieval, fine-tuning and machine learning systems, engineered, evaluated and deployed securely, from the cloud to air-gapped networks.
AI & Machine Learning
AI/ML Cybersecurity
Security for AI and machine learning systems: adversarial testing, secure ML pipelines and AI risk governance aligned with the NIST AI RMF.
Security Engineering
DevSecOps & Secure Operations
Operations and maintenance that keep systems patched, integrated and compliant through their whole lifecycle.
Let's talk
Let's talk about AI agents & skills engineering.
Talk with a CDT engineer about your mission, your systems and your deadlines. We'll tell you honestly what it takes.