Custom AI agents
Goal-driven agents built around one of your workflows, with clear rules on what they can do alone and what needs approval.
AI Agent Development
AI Agent Development Company that puts your work on autopilot
We build custom AI agents that read, decide and act inside the tools your team already uses: CRM, email, WhatsApp, ERP and helpdesk. They follow your rules, ask a human when they should, and log every step.
- Agents that use your real tools
- Human approval where it matters
- Live in 4 to 10 weeks
450+Projects launched
7+Years of experience
20+Dedicated developers
96%Client retention
In short
Dinoustech is an AI agent development company that builds custom autonomous agents for sales, support, operations and finance. Our agents connect to your CRM, ERP, email and databases, plan multi-step tasks with models such as GPT, Claude and Gemini, and complete them with human approval where needed. A single-workflow agent usually goes live in 4 to 6 weeks; a multi-agent system takes 8 to 14 weeks.
The basics
What is an AI agent, and how is it different from a chatbot?
An AI agent is software that is given a goal instead of a script. It breaks the goal into steps, chooses which tool to use for each step, checks the result and keeps going until the job is done. A chatbot answers a question; an agent finishes a task, such as qualifying a lead, updating the CRM, booking the meeting and sending the follow-up email.
Under the hood an agent combines a large language model (the reasoning), tools and APIs (the hands), memory of past steps and company knowledge (the context), and guardrails that decide what it may do alone and what needs a person. Getting those four parts right is what separates a demo from an agent you can trust with real customers and real money.
Most businesses start with one high-volume, rule-heavy workflow where mistakes are easy to catch, measure the hours saved, then add more agents that hand work to each other. That is the path we follow with every client.
What we build
AI Agent Development Services
From a single task agent to a team of agents that hand work to each other, we design, build, connect and run them for you.
Multi-agent systems
Teams of specialist agents (research, writer, reviewer, executor) coordinated with LangGraph or CrewAI for complex processes.
AI voice agents
Phone agents that answer calls, book appointments, qualify leads and take orders in natural speech, in English, Hindi and more.
Tool and API integration
Agents that work in Salesforce, HubSpot, Zoho, SAP, Shopify, Gmail, Slack, WhatsApp and your own APIs.
Knowledge and memory (RAG)
Agents that answer from your documents, policies and product data with sources, using vector search on your own cloud.
AgentOps and monitoring
Dashboards for every run: steps taken, cost per task, errors and human hand-offs, with alerts and audit logs.
Use cases
Where AI Agents Pay Off First
These are the workflows where our clients see results fastest. Each one is repetitive, rule-based and measured in hours saved or leads won.
| Team | What the agent does | Typical result |
|---|---|---|
| Sales | Researches inbound leads, scores them, writes a personal first email and books the call in your calendar | Reply within a minute instead of hours |
| Customer support | Reads the ticket, checks the order or account, solves common issues and drafts replies for the rest | Large share of tickets closed without a human |
| Operations | Reads invoices, purchase orders and emails, enters data in the ERP and flags mismatches | Hours of manual entry removed each day |
| HR and recruiting | Screens CVs against the job, schedules interviews and answers candidate questions | Faster shortlists, no missed applicants |
| Finance | Reconciles payments, chases overdue invoices politely and prepares month-end summaries | Shorter collection cycles |
| Clinics and salons | Voice and WhatsApp agent books, reschedules and reminds appointments around the clock | Fewer no-shows and missed calls |
How we work
Our AI Agent Development Process
A clear, step-by-step process with a working demo early, so you always know what you are getting.
- 01
Workflow audit
We map the task step by step, the tools involved, the rules and where a human must approve.
- 02
Agent design
We pick the model, tools, memory and guardrails, and agree on success metrics such as time saved per task.
- 03
Prototype on your data
A working agent runs on real examples in a sandbox, so you can see its decisions before go-live.
- 04
Integrate and test
We connect live systems, add approval steps and test edge cases, failures and costs.
- 05
Launch and monitor
The agent goes live with logs, dashboards and alerts; we review runs and keep improving it.
Technology
AI Tools and Technologies We Use
We pick proven, well-supported tools for each project, and keep your product free to switch models later.
AI models
- OpenAI GPT
- Anthropic Claude
- Google Gemini
- Meta Llama
- Mistral
- Whisper
Frameworks
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- Hugging Face
- PyTorch
Data & search
- Pinecone
- pgvector
- Weaviate
- Elasticsearch
- PostgreSQL
- Redis
Apps & APIs
- Python
- FastAPI
- Node.js
- React
- React Native
- Flutter
Cloud
- AWS Bedrock
- Azure OpenAI
- Google Vertex AI
- Docker
- Kubernetes
Pricing
AI Agent Development Cost and Timeline
Cost depends on the number of workflows, the systems the agent must connect to and how much human review you need. These ranges are a starting guide; your free plan gives an exact quote.
| Scope | What you get | Timeline | Starting from |
|---|---|---|---|
| Single-task agent | One workflow, 2-3 tool integrations, admin dashboard | 4-6 weeks | $8,000 |
| Business process agent | Multi-step workflow, RAG on your documents, approvals, analytics | 6-10 weeks | $18,000 |
| Multi-agent system | Several cooperating agents, custom tools, voice or WhatsApp, full AgentOps | 10-14 weeks | $35,000 |
Model usage (API) costs are billed at actual cost and usually run from a few cents to a few rupees per task. We tune prompts and model choice to keep them low.
Why Dinoustech
Why Choose Dinoustech for AI Agent Development
450+ projects launched
Apps, platforms and software shipped for startups and enterprises in India, the USA, UK, UAE, Canada, Australia and Singapore.
Your data stays yours
NDA from day one, private model hosting when needed, and no training of public models on your data. GDPR and HIPAA-ready builds.
Working demo in weeks
We ship a usable prototype on your real data early, so you judge results, not slides, before the full build.
Support after launch
Monitoring, accuracy reviews, cost tuning and model upgrades are part of the plan, so the AI keeps getting better.
Free, no obligation
Get Your Free AI Agent Development Plan
Share your idea and an AI expert will reply within 24 hours with:
- The best AI approach for your goal
- Features, tech stack and timeline
- A clear cost estimate
- NDA before we discuss details
FAQs
AI Agent Development FAQs
What does an AI agent development company do?
An AI agent development company designs and builds software agents that complete tasks on their own: they plan steps, use your business tools through APIs, check results and ask a human when needed. Dinoustech handles the full cycle, from finding the right workflow to building, integrating, testing and monitoring the agent after launch.
How much does it cost to build an AI agent?
A focused single-task AI agent usually starts around $8,000 and takes 4 to 6 weeks. Agents that run a full business process with document search and approvals start around $18,000, and multi-agent systems start around $35,000. Model API usage is extra and is billed at actual cost.
Are AI agents safe to use with customer data?
Yes, when they are built with guardrails. We limit what each agent can access, add human approval for sensitive actions such as refunds or payments, log every step, and can host models privately on AWS, Azure or Google Cloud so your data is never used to train public models.
Which AI models do you use for agents?
We choose per task: OpenAI GPT, Anthropic Claude and Google Gemini for complex reasoning, and smaller open models such as Llama or Mistral when cost, speed or private hosting matter more. Agents are built so the model can be swapped later without a rebuild.
Can an AI agent work with my existing CRM or ERP?
Yes. Our agents connect to Salesforce, HubSpot, Zoho, SAP, Odoo, Shopify, Google Workspace, Microsoft 365, Slack, WhatsApp and any system with an API. If a system has no API, we can use secure database access or browser automation.
What is the difference between an AI agent and a chatbot?
A chatbot answers questions in a conversation. An AI agent works toward a goal: it can take actions such as updating records, sending emails, booking meetings or processing documents, and it can run in the background without anyone chatting to it.
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