AI Agent Development

AI Agent Development Services

We design, build, and deploy custom AI agents that handle real workflows — not chatbot demos. From single-task assistants to multi-agent systems that run parts of your operations, grounded in your own data and integrated into the tools you already use.

  • LangChain · CrewAI
  • Model Context Protocol (MCP)
  • OpenAI · Anthropic

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We'll respond within 24 hours — no spam.

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The basics

An agent isn't just a chatbot with a nicer prompt.

A chatbot answers questions. An AI agent takes action — it can look things up, call your APIs, update your systems, and make a sequence of decisions to complete a task without a human clicking through each step. The difference matters when you're deciding what to buy: a chatbot wrapper can answer FAQs, but only a properly built agent can actually do the work — qualify a lead, resolve a support ticket end to end, or pull and reconcile data across systems.

A chatbot answers

It responds to questions in a conversation. Useful for FAQs — but it stops at the reply.

An agent acts

It looks things up, calls your APIs, updates your systems, and completes a multi-step task without a human clicking through each step.

Services

Agents built for your workflow, not a demo reel.

From single-task assistants to orchestrated multi-agent systems — grounded in your data and wired into your stack.

Single-purpose agents built around one specific workflow — research, scheduling, data lookup, document processing. Scoped tightly so they do one thing reliably.

For processes too complex for a single agent, we build orchestrated systems where specialized agents hand off tasks to each other — one researches, one drafts, one verifies, one executes.

Agents integrated into your existing enterprise stack — CRM, ERP, internal tools — with proper access control, audit trails, and guardrails so they meet the bar for production use, not just a pilot.

Agents grounded in your own documents, knowledge base, or data so answers reflect your actual business — not generic model knowledge, and not hallucinated specifics.

We build the Model Context Protocol layer that lets your agents safely and reliably talk to your internal tools, databases, and APIs — the connective tissue most "agent" projects skip.

By use case

Where agents earn their keep

Customer Support Agents

Resolve tickets end to end — not just deflect them to a human with a canned answer.

Sales & Lead Qualification Agents

Qualify inbound leads, enrich records, and route only what's worth a rep's time.

Internal Ops / Workflow Agents

Handle the repetitive multi-step processes your team does manually today — data entry, reconciliation, reporting.

Ecommerce Agents

Product search, order support, and recommendations that actually understand your catalog and policies.

How it works

From discovery to a deployed agent, in five steps

Step 1

Discovery

We map your workflow, your data sources, and the systems the agent needs to touch.

Step 2

Architecture

We design the agent (or agents), decide single vs. multi-agent, and pick the model/framework that fits the job — not whatever's trendiest.

Step 3

Build

Development, RAG/data grounding, and integrations (MCP, APIs, CRM, internal tools).

Step 4

Test & Harden

Accuracy testing, edge cases, and guardrails for what happens when the agent isn't sure.

Step 5

Deploy & Support

Production rollout, monitoring, and ongoing iteration as your workflow changes.

Book a Discovery Call
Why work with us

Engineering-first. Not a no-code wrapper with an “AI” label on it.

A lot of "AI agent" work being sold right now is a handful of automation templates strung together. We build agents with real architecture underneath: proper data grounding, access control, error handling, and a clear answer to "what happens when it's wrong." If your agent is going to touch customer data or make decisions on your behalf, it needs to be built like production software — because it is.

How we engage

Pick the engagement that fits the job

Fixed price · fixed timeline

Single Agent Build

A tightly scoped agent for one workflow.

  • One clearly scoped workflow
  • RAG / data grounding
  • Integration with one system
  • Accuracy testing & guardrails
Book a Discovery Call
Most popularScoped after discovery

Multi-Agent System

For processes that need multiple coordinated agents working together.

  • Orchestrated specialized agents
  • Multiple system integrations
  • MCP layer for internal tools
  • Access control & audit trails
  • Production hardening
Book a Discovery Call
Retainer

Ongoing Retainer

Monitoring, iteration, and new agents as your needs grow.

  • Production monitoring
  • Ongoing iteration & tuning
  • New agents as you scale
  • On retainer or on demand
Talk to Us

Ready to start?

Let's map out what an agent could actually do for your workflow.

Book a discovery call. We'll look at your process and tell you honestly whether an agent is the right fit — and what it would take to build one.

  • Honest read on whether an agent fits
  • Clear scope before any work starts
  • Built with LangChain, CrewAI, MCP, OpenAI & Anthropic

Book a discovery call

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We'll review your details and respond within 24 hours — no sales spam.

Frequently Asked Questions

A chatbot answers questions in a conversation. An agent takes action — it can look things up, call APIs, update systems, and carry out a multi-step task on its own, with a human only in the loop where it matters.

It depends on scope — a single-purpose agent is a much smaller project than a multi-agent system integrated across several internal tools. We give you a real number after a short discovery call, not a generic range.

A focused, single-purpose agent typically takes a few weeks. Multi-agent systems with deeper integrations run longer, depending on how many systems it needs to connect to.

Yes — that's most of the work. We build the integration layer (often via MCP) so agents can safely read and act on your actual systems, not just a sandboxed demo.

Yes, and we choose the framework based on what the job needs rather than defaulting to one stack for everything.

We build in grounding (RAG against your real data), test edge cases before launch, and add guardrails so the agent either gets it right or clearly flags uncertainty instead of guessing.

Book a MeetingBook a Discovery Call

Connect with us and let's build something together

We'd love to hear from you! Whether you have questions, need support, or want to discuss a new project, our team is ready to assist. Fill out the form below, and we’ll get back to you as soon as possible.

Contact

Our friendly team is here to help

+97715900970

What will you get?

- Client Oriented

- Driven

- Secured

- Solving

- Competent

- Transparent

What next?

- We will contact you at your convenience

- We do discovery and deep discussion on your problems

- We prepare a proposal

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