AI Agent Development
AI Agent Development Company for Custom Agents That Get Real Work Done

Quick answer
What is an AI agent and how is it different from a chatbot?
An AI agent uses a large language model to plan and complete multi-step tasks by calling tools searching data, updating a CRM, drafting and sending content while a chatbot mainly answers questions in conversation. Limbani Softwares builds AI agents with scoped tool permissions, human approval and monitoring, and has published solution blueprints for a multi-agent content writing system and an AI SEO/GEO visibility agent.
How to choose the best AI agent development company
- Agents in production. Ask for agents that run on real work today and how they handle failures, retries and edge cases.
- Guardrails and approvals. Check how tool permissions, audit logs and human sign-off are designed.
- Cost and latency awareness. Multi-step agents can get expensive; a good team monitors and limits cost per task.
- Confirm code and IP ownership. You should own the source code, designs and cloud accounts, with an NDA in place before you share sensitive details.
AI agent vs chatbot vs workflow automation: which do you need?
Use rule-based automation when every step is known in advance. Use a chatbot when people need answers. Use an AI agent only when the work needs judgement across several steps and systems, and the cost of a wrong action can be controlled with approvals.
| Workflow automation | AI chatbot | AI agent | |
|---|---|---|---|
| What it does | Runs fixed steps when a trigger fires | Answers questions in conversation | Plans and completes multi-step tasks using tools |
| Handles ambiguity | No | Partly, within its knowledge | Yes, within set permissions |
| Takes actions in systems | Yes, fixed | Rarely | Yes, through tool calls with guardrails |
| Risk control | Low risk by design | Low; it only talks | Needs permissions, logging and human approval |
| Typical cost | From $1000, priced on scope | From $1000, priced on scope | From $1000, priced on scope |
| Best for | Invoices, syncs, notifications | Support, FAQs, lead capture | Triage, research, operations that need decisions |
Many systems combine all three: an agent decides, a workflow executes, a chatbot talks to the user.
Engagement models and pricing for AI agent development
Every project starts from $1000 and is priced on scope after a discovery call. Pick the model that matches how well the scope is known.
| Model | Best for | How it is priced | Typical timeline |
|---|---|---|---|
| Fixed scope | Small, well-defined work such as a proof of concept, an MVP slice or a redesign | A fixed price for a written scope, from $1000, priced on scope | 2 to 12 weeks per phase |
| Time and materials | Products whose requirements change as you learn from users | Monthly, for the hours actually worked, with a budget cap you set | Ongoing in two-week sprints |
| Dedicated team | A long roadmap that needs steady capacity next to your own team | A fixed monthly rate per person; scale up or down with notice | 3 months and longer |
Most clients start with a fixed-scope discovery or first release, then move to time and materials or a dedicated team.
AI AGENT DEVELOPMENT
Production AI agents with guardrails, built by our AI engineers.

We map the workflow, decide what the agent should automate and what stays human, and design single-agent or multi-agent architecture accordingly.
Agents connect to your CRM, helpdesk, calendar, email, databases and internal APIs through scoped, permissioned tools.
Every agent we build follows the same layers: a channel (web, WhatsApp, voice, internal tool), an orchestration layer that plans steps and calls tools with explicit permissions, retrieval over your data, task memory, guardrails on inputs and outputs, and observability with logs, evaluations and cost tracking. Human approval sits in front of any action that moves money, changes records or contacts customers.
This is how the AI receptionist MVP for a multi-branch salon was built: the model handles the conversation, n8n workflows run availability checks, bookings and CRM updates with retries and fallbacks, and staff take over when the agent cannot help.
We add the context the agent needs (RAG over your data, task memory) and approval steps before high-impact actions.
Every agent is tested on real scenarios, logged step by step, and monitored for success rate, latency and model cost in production.

Trusted by startups, enterprises, and technology leaders for reliable delivery and long-term partnerships.
Get a Free ConsultationSince 2021, Limbani Softwares has partnered with growing businesses to deliver reliable, scalable software and AI solutions. Our approach is grounded in technical excellence, transparent collaboration, and long-term value creation.
Why teams choose Limbani Softwares for AI agent development:
At Limbani Softwares, we combine technical excellence with business strategy to deliver measurable outcomes.
We take a partnership approach to every project. From initial concept to post-launch support, our team works closely with yours.
Since 2021, our in-house team has delivered 47+ projects for 18+ clients worldwide, with a 96% client retention rate.


Capabilities & Features
Multi-Agent Systems
Tool & API Integration
Human Approval
Guardrails & Audit Logs
Agent Monitoring
Our Digital Masterpieces
Explore our portfolio of successful digital solutions delivered to clients worldwide.

A professional e-commerce platform for Southgate Timber Company Limited, specializing in timber, cladding, fencing, decking, and building supplies. Features Trustpilot integration, fast delivery, click & collect, and SEO optimization.


India's largest EV charging network, pioneering the e-mobility revolution with high speed public charging infrastructure. Features station finder, franchise portal, ChargeClub membership, media center, and career sections.

AI Agent Development Pricing
Every project is priced on scope after a short discovery call. Start small with a proof of concept, then scale what works.

From $1000
For a focused proof of concept that:
- validates one high-value use case with your real data;
- includes a working prototype and an evaluation of accuracy, speed and cost;
- ends with a clear go / no-go recommendation and production plan.

Quote based on scope
For a production build that:
- integrates with your apps, data and business systems;
- adds guardrails, monitoring, human handoff and security controls;
- is load-tested and deployed to your cloud.

Quote based on scope
For ongoing improvement that:
- monitors quality, cost and usage in production;
- updates prompts, knowledge and models as your business changes;
- adds new workflows and channels over time.
Software Development Platforms, Technologies & Languages
The right technologies and platforms help build scalable, secure, and high-performing solutions that support faster development and long-term business growth.
What Our Clients Say
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