Agents that do the work, not chatbots that talk about it.
Autonomous systems that plan, call your tools, hand off to humans when needed, and run inside your security boundary.
What is AI agent development?
Eazyware is an AI agent development company. We build multi-agent systems that run business workflows, self-hosted agents for regulated data, multilingual voice agents for Indian and global markets, and customer service agents for chat, WhatsApp and email, each with tool access, guardrails, human hand-off and evaluation built in.
AI Agents & Automation services
4 services in this line, each with a published starting price.
Why businesses are hiring AI agent development companies now
A chatbot answers questions; an AI agent completes work. Businesses invest in AI agent development to take multi-step processes, lead qualification, claims triage, order exceptions, customer support, appointment calls, and hand them to software that can read, decide, act in their systems and escalate the rest. The economics are simple: the routine majority of a workflow is automated, the people who did it move to the exceptions, and volume can grow without headcount. The difference between a demo and a production agent is engineering: scoped tool access, guardrails, evaluation suites, human approval gates and an audit trail. That is what an AI agent development company is for.
What businesses hire us for
The requests that most often turn into AI agent development engagements.
- 01
AI agent development for customer support
Chat, WhatsApp and email agents that resolve tickets with real account data
- 02
AI workflow automation
Multi-agent systems that run back-office processes end to end
- 03
AI voice agent development
Multilingual inbound and outbound calling for booking, support and collections
- 04
Self-hosted AI agents for regulated industries
Open-weight models and agents inside your VPC or on-prem, zero data egress
- 05
Lead qualification automation
Agents that score, enrich and route leads across CRM and email
- 06
Document processing agents
Extraction, validation and exception routing for KYC, invoices and claims
Who this is for
- Operations leaders with high-volume, rule-heavy processes
- SaaS companies adding automation as a paid feature
- Banks, insurers, hospitals and government bodies that need private deployments
- Support and call-centre teams whose volume outgrows headcount
What you can expect
- Workflows completed without a person for the well-defined majority of cases
- Every agent action logged, permissioned and reversible
- Autonomy expanded intent by intent as evaluation evidence accumulates
- Cost per completed workflow visible on a dashboard from week one
How to choose an AI agent development company
- 01Ask how agents are prevented from taking actions outside policy
- 02Ask to see an evaluation suite and how it runs on model updates
- 03Ask whether agents launch in shadow mode before autonomy
- 04Ask which parts of the workflow they would not automate, and why
- 05Ask for the audit log design before the demo
How much does AI agent development cost?
Multi-agent workflow systems at Eazyware start at $24,500 (₹16 lakh) and typically run $24,500–84,000 depending on tools, autonomy and evaluation depth. Customer service agents start at $12,500 (₹8 lakh) and are usually live on the first channel in three to six weeks. Multilingual voice agents start at $17,500 (₹11 lakh) plus per-minute usage, and self-hosted agentic AI for regulated data starts at $31,500 (₹21 lakh) plus infrastructure. A ten-day Sprint Zero answers feasibility and cost for your specific workflow before any build.
Why Eazyware for AI agent development
- Agents built with scoped tools, budgets, approval gates and full traces as standard, not extras
- Voice engines benchmarked per Indian language on your own call recordings
- Private, self-hosted deployments for DPDP, RBI, GDPR and HIPAA-aligned clients
- Shadow-mode launches: agents propose before they act, and earn autonomy with evidence
Industries we serve
Clients across India, the Middle East, Europe, North America, Africa and Australia. Delivery from Bengaluru with New York and London studios.
AI Agents & Automation: common questions
01How do you stop agents doing something wrong?
Scoped permissions, approval gates, spend limits and a full audit trail. Agents earn autonomy in stages.
02Are open models good enough?
For most retrieval, extraction and workflow tasks, yes. We prove it with a ProofRun first.
03Does it handle Indian regional languages properly?
Yes. We benchmark speech-to-text and text-to-speech per language and pick the best engine for each.
04How much does AI agent development cost?
Multi-agent workflow systems at Eazyware start at $24,500 (₹16 lakh) and typically run $24,500–84,000 depending on tools, autonomy and evaluation depth. Customer service agents start at $12,500 (₹8 lakh) and are usually live on the first channel in three to six weeks. Multilingual voice agents start at $17,500 (₹11 lakh) plus per-minute usage, and self-hosted agentic AI for regulated data starts at $31,500 (₹21 lakh) plus infrastructure. A ten-day Sprint Zero answers feasibility and cost for your specific workflow before any build.