AI Agent Development Company in Pune
Go beyond chatbots. AI agents plan, decide and take action across your CRM, email, WhatsApp, ERP and helpdesk — completing real work with human approval where it matters.
58+ projects delivered · 45+ happy clients · 4.9/5 client rating · Startup India recognised
Agentic AI That Gets Work Done
AI agents combine large language models with tools, memory and rules so they can carry out multi-step tasks: reading an incoming email, checking your CRM, drafting a reply, updating a record and scheduling a follow-up. For growing businesses, that means hours of repetitive work handled automatically, every day.
Codiastic Soft is an AI agent development company in Pune that designs agents around your real processes. We map the workflow, connect the agent securely to your systems through APIs, define what it may and may not do, and add human-in-the-loop approvals for sensitive steps — so automation is powerful but controlled.
We build agents with frameworks such as LangGraph and n8n, choose the right models for accuracy and cost, and provide dashboards that show every action an agent takes, so your team stays in charge.
What We Offer
AI Agents We Build
Sales & Lead Agents
Qualify leads, personalise follow-ups and update your CRM automatically.
Customer Support Agents
Resolve tickets, process refunds and escalate complex cases with context.
Document Processing Agents
Read invoices, POs and forms and push data into your ERP or Tally.
Operations & HR Agents
Onboarding, approvals, scheduling and internal requests on autopilot.
WhatsApp & Email Agents
Agents that converse with customers and act on their requests.
Multi-Agent Workflows
Teams of specialised agents coordinating complex processes.
Why Codiastic Soft
Why Build AI Agents With Us
Process-First Design
We automate your real workflow, not a generic demo.
Controlled Autonomy
Permissions, approvals and audit logs for every action.
Deep Integrations
CRM, ERP, email, WhatsApp, helpdesk and custom APIs.
Measurable ROI
Dashboards tracking tasks completed and hours saved.
Cost & Timeline
AI Agent Development Cost in Pune
| Project type | Typical budget | Timeline |
|---|---|---|
| Single-workflow agent | ₹1,50,000 – ₹4,00,000 | 3–6 weeks |
| Multi-step agent with integrations | ₹4,00,000 – ₹12,00,000 | 2–4 months |
| Multi-agent automation platform | ₹12,00,000+ | 4+ months |
Model usage costs are billed by the AI provider; we estimate them upfront based on your volumes.
How We Work
Our Development Process
- 1
Free Discovery Call
We understand your goals, users, budget and timeline, then recommend the right approach and technology.
- 2
Proposal & Fixed Scope
You receive a clear scope, milestone plan, timeline and cost estimate before any work begins.
- 3
UI/UX Design
Wireframes and clickable prototypes so you can see and approve the product before development.
- 4
Agile Development
Two-week sprints with weekly demos, a shared project board and direct access to your developers.
- 5
Testing & Launch
Functional, performance and security testing, then deployment to production or the app stores.
- 6
Support & Growth
Post-launch monitoring, bug fixes, updates and new features through flexible support plans.
Technology
Technologies We Use
- LangGraph
- LangChain
- n8n
- OpenAI GPT
- Google Gemini
- Anthropic Claude
- Python
- FastAPI
- Node.js
- WhatsApp API
- PostgreSQL
- Redis
FAQ
Frequently Asked Questions
What is an AI agent?
An AI agent is software that uses an AI model to understand a goal, plan the steps and take actions using tools — such as your CRM, email or database — to complete tasks, rather than only answering questions like a chatbot.
Are AI agents safe to use in my business?
Yes, when designed with limits. We give agents only the permissions they need, require human approval for sensitive actions, log every step and test thoroughly before going live.
Which tasks are best suited to AI agents?
Repetitive, rule-guided tasks that involve reading information and updating systems — lead follow-ups, ticket triage, invoice processing, report preparation and scheduling — usually deliver the fastest return.
How is an AI agent different from RPA?
RPA follows fixed scripts and breaks when inputs change. AI agents understand unstructured inputs like emails and documents and can adapt, and they can work alongside existing RPA bots.
