What is the difference between an agent and a chatbot?

A chatbot answers questions. An agent can also take actions, such as updating a record, sending an email or calling another system, while it works through a task.

Which tasks are a good fit for an agent?

Work that follows a pattern but needs some judgement: triaging tickets, preparing reports, qualifying leads or reconciling data between tools. Truly unpredictable work is usually better left with people.

Can an agent make mistakes on live data?

It can, which is why write actions are limited, risky steps need approval and everything is logged. Agents are tested against real past cases before they are allowed near production.

Do we need LangGraph or a particular framework?

Not always. Simple flows run well with direct API calls. We reach for LangGraph when a task needs durable state, retries or a pause for human input.

How do we know the agent is actually helping?

We agree on one measure before building, such as tickets closed without escalation or hours saved each week, and report against it after launch.

Home

Services

AI Agent Development

AI Agents and Automation

Tech Team 4U

Agents that finish tasks, not just chat about them

Agent frameworks, model APIs, workflow automation and support bots. Start with the service closest to the job you want an agent to do.

Let’s Talk

One agent, clear boundaries

Each agent gets a defined set of tools, a spending limit and a point where it has to stop and ask a person.

Common building blocks:

LangGraphClaudeOpenAITool callingHuman approvalTracing

Agent Engineering

Planning, tool use and memory built as proper software, with tests and tracing.

AI Agent Development LangChain / LangGraph

Model APIs

Claude and OpenAI wired into your systems with structured outputs and fallbacks.

Claude API Integration OpenAI Integration

Workflow Automation

Repeated back-office work handed to agents, with approvals where they matter.

AI Automation

Support Agents

Chatbots grounded in your own content that hand over to people when unsure.

Custom AI Chatbot

How we keep agents safe

Scoped tools

An agent can only call the actions it needs, and read access is kept separate from write access.

Hard stops

Step limits, spend limits and timeouts stop a stuck agent before it runs up cost or causes damage.

Human approval

Refunds, customer emails and data changes can wait for a person to confirm them.

Full trace

Every step, tool call and model response is recorded, so you can see exactly why something happened.