Agentic AI & Custom AI Agents
AI agents that don’t just answer questions but get work done: planning tasks, using your business applications, and handing off to people when judgment is needed.
Chatbots answer questions. Your teams need work done.
Many AI tools stop at generating text. The value comes when AI can act safely inside the systems where work happens.
Work spread across many tools
Completing one request means switching between email, spreadsheets, and several business applications.
Processes too variable for fixed rules
Each case is a little different, so traditional automation breaks on the exceptions.
Concern about control
Leaders want AI to act, but only within clear permissions and with a record of what it did.
Generic tools that don’t fit
Off-the-shelf assistants don’t know your processes, data, or policies.
Agents designed around your processes and guardrails.
Agent design & scoping
Define the agent’s goals, responsibilities, tools, and limits around a real business task.
Tool & system integration
Give agents secure access to the APIs, databases, and applications they need to act.
Multi-agent orchestration
Coordinate specialist agents that research, decide, and execute different parts of a workflow.
Knowledge grounding
Connect agents to approved company information so their actions are based on the right facts.
Guardrails & approvals
Set permissions, approval checkpoints, and action limits, with a full log of every step.
Evaluation & monitoring
Test agents against realistic scenarios before launch and track their performance in production.
Building agents you can trust in production.
Scope
Pick a task with clear value, define success, and map the systems the agent must use.
Learn more about ScopePrototype
Build a working agent on sample cases and evaluate how it plans and acts.
Learn more about PrototypeHarden
Add guardrails, approvals, integrations, and monitoring for real-world use.
Learn more about HardenOperate
Review agent decisions, refine behavior, and extend to new tasks over time.
Learn more about Operate
Questions about AI agents?
What makes an AI agent different from a chatbot?
A chatbot responds to messages. An agent works toward a goal: it plans steps, uses tools and systems, checks results, and completes tasks, asking a person when it needs approval.
How do we stop an agent doing something it shouldn’t?
Agents only get the permissions they need, high-impact actions require approval, and every step is logged so it can be reviewed.
Can agents work with our existing applications?
Yes. Agents connect to your systems through their APIs and integrations, so they can read and update the tools your teams already use.
Where should we start?
With one well-defined task that is frequent and spans a few systems. A proof of concept shows how an agent performs before you scale.