AI & Automation

AI Agent Development

An AI agent is a system that can plan a multi-step task, call tools or APIs to gather information and take action, and decide what to do next based on the result — instead of just replying to a single message. We build custom agents that automate real workflows: qualifying a lead, updating a CRM, checking inventory, and following up, end to end.

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Agent vs. Chatbot

Why an agent is different from a chatbot

A chatbot answers a question in one turn. An agent can break a goal into steps, decide which tool to use at each step (search a database, call an API, send a message), evaluate the result, and continue — or ask a human before proceeding on anything risky. That's the difference between "tell me the order status" and "reschedule this delivery and notify the customer."

Plans multi-step tasks

Breaks a goal into an ordered sequence of actions instead of answering in a single pass.

Calls tools & APIs

Queries your CRM, database, or third-party APIs mid-conversation to get real, current data.

Escalates when unsure

Hands off to a human for anything outside its defined authority — refunds, cancellations, exceptions.

Our Process

How we build an AI agent

Define the task & boundaries

Exactly what the agent should be able to do, and just as important, what it should never do without human approval.

Tool & API design

Define the specific functions the agent can call — CRM lookups, inventory checks, calendar booking — each scoped and permissioned.

Orchestration build

Using LangChain, LangGraph or a direct function-calling loop, depending on how complex the decision logic needs to be.

Test & guardrails

Run it against edge cases and failure paths, add logging for every action taken, and set thresholds for human handoff.

Use Cases

What businesses automate with AI agents

Inbound lead qualification

An agent that talks to an incoming lead, asks qualifying questions, checks eligibility against your criteria, and books a call directly on a sales rep's calendar.

Real EstateInsurance

Order & delivery updates

Checks order status across your logistics system and proactively messages customers about delays, without a human touching every ticket.

EcommerceLogistics

Tiered support resolution

Resolves common tickets (password resets, billing questions) by calling internal APIs directly, and escalates complex cases with full context attached.

SaaSTelecom

Technology Stack

Tools we build agents with

GPT-4o Claude 3.5 LangGraph LangChain Model Context Protocol FastAPI Python Redis PostgreSQL

Benefits

What a well-scoped agent gets you

Completes multi-step work end to end instead of just deflecting simple FAQs.

Every action the agent takes is logged, so you can audit exactly what it did and why.

Scoped tool access means the agent physically cannot take actions outside its defined authority.

Frees your team from repetitive multi-system tasks — updating records across two or three tools per request.

Related Case Studies

Agents we've shipped

Real deployments

AI calling agent for a real estate firm → AI onboarding automation for a BPO → Delivery update automation →

FAQs

Frequently asked questions

What is an AI agent?

An AI agent is a system built on an LLM that can plan a multi-step task, call tools or APIs to gather information and take action, and decide what to do next based on the result — rather than just replying to one message.

How is an AI agent different from a chatbot?

A chatbot answers questions in a single turn. An agent can execute a sequence of actions across your systems — check a database, call an API, send a message — to complete a task end to end.

Can an AI agent connect to our existing tools and APIs?

Yes. Agents are built with a defined, permissioned set of tools they can call — your CRM, inventory system, calendar, or any internal API — scoped so they only access what they need.

Is it safe to let an AI agent take actions automatically?

Agents are built with explicit boundaries: routine, low-risk actions can run automatically, while anything sensitive (refunds, cancellations, contract changes) is routed to a human for approval. Every action is logged.

How much does AI agent development cost?

It depends on how many tools/systems the agent needs to integrate with and how complex the decision logic is. A single-workflow agent is a much smaller project than a multi-department automation system.

How long does it take to build an AI agent?

A focused agent for one workflow typically takes a few weeks, including integration with your existing tools and testing against edge cases.

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Have a workflow that's still stitched together manually?

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