AI Agent Development Services

Custom AI Agents
Built for Your
Business Operations

AI agents are purpose-built software systems that perceive information, reason through it, and take actions autonomously — with minimal human intervention. TechnoVedaAI specialises in developing custom AI agents that integrate directly into your operations and deliver measurable business outcomes from day one.

0×
Faster task execution vs manual process
Avg across deployed agents
0%
Reduction in tier-1 support ticket handling
Customer support agents
0/7
Continuous agent uptime — no shifts, no breaks
Production deployments
0d
Average time from brief to first live agent
Our delivery record
OpenAI GPT-4o Anthropic Claude 3.5 Gemini 1.5 Pro LangChain Agents LlamaIndex RAG Architecture SOC 2 Ready 200+ Tool Integrations AWS & Azure Hosted OpenAI GPT-4o Anthropic Claude 3.5 Gemini 1.5 Pro LangChain Agents LlamaIndex RAG Architecture SOC 2 Ready 200+ Tool Integrations AWS & Azure Hosted
Definition

What Are AI Agents?

An AI agent is not a chatbot. It is not a macro. It is not a simple automation script. An AI agent is a goal-oriented intelligent system that operates a continuous loop: perceive → reason → act → observe → repeat.

Our agents are built to handle real business tasks: qualifying inbound leads, responding to customer inquiries, analysing data to surface insights, updating records in your CRM, scheduling appointments, and escalating to humans when the situation requires judgment.

The difference from traditional automation: when conditions change, an AI agent adapts its behaviour — it doesn't break and wait for a developer to fix the rule.

How an AI Agent Processes a Task — Live Architecture

Inputs
Email Chat API DB Doc
Memory
Short & long
term context
LLM Core
Perceive,
reason, plan
Tool Use
APIs, search,
code, DB write
Actions
CRM Reply Alert Book
Human-in-the-loop escalation built into every agent — your team stays in control
Agent Catalogue

AI Agent Types We Build

Every agent is purpose-built for a specific business function — not a generic template dressed up as bespoke. Here are the five core agent types we deploy, and what they actually do.

↓ 80% ticket load
Customer Support Agent

Handles tier-1 and tier-2 customer queries across chat, email, and messaging platforms. Resolves product questions, processes basic requests, triages complaints, and escalates complex issues to human agents with full context — so your team never starts cold.

Multi-channel Sentiment detection Human handoff Ticket creation
↑ 3× qualified leads
Lead Qualification Agent

Engages every inbound lead instantly — asks discovery questions, identifies budget, authority, need, and timeline, scores prospect quality against your ICP, and routes high-value opportunities to your sales team in real time. Low-quality leads are nurtured automatically.

BANT scoring CRM enrichment Instant routing Follow-up sequences
↓ 95% scheduling admin
Scheduling & Coordination Agent

Automates appointment booking, calendar management, follow-up reminders, and meeting coordination across your organisation. Handles rescheduling, cancellation flows, and multi-party coordination without a single manual step.

Google Calendar Outlook 365 Reminders & nudges Timezone handling
↓ 90% analysis time
Data Analysis Agent

Processes large datasets, generates structured summaries, surfaces anomalies, and delivers business-ready insights — without your team spending hours in spreadsheets. Connects to databases, BI tools, and data warehouses to pull, analyse, and present findings on demand or on schedule.

SQL & NoSQL Anomaly detection Auto-reporting Natural language query
↑ faster decisions
Decision Support Agent

Assists leadership and operations teams with structured decision-making by analysing available data, modelling outcomes across scenarios, and presenting prioritised recommendations with supporting evidence. Turns complex data into clear, actionable executive briefings.

Scenario modelling Risk scoring Evidence synthesis Executive summaries
Custom Agent — Your Use Case

Don't see your exact use case above? Every business has unique workflows. We design and build fully bespoke AI agents from the ground up — defined by your specific objectives, data, and success metrics.

Discuss Your Requirements
Measured Results

What Clients See in the First 90 Days

0%
Reduction in support ticket volume
Customer Support Agent

Tier-1 and tier-2 queries resolved autonomously — agents only escalate when genuine human judgment is required.

0×
More qualified leads processed
Lead Qualification Agent

Every inbound enquiry engaged instantly — no more leads going cold while your team is in meetings.

0h
Weekly hours saved per department
Data Analysis Agent

Manual reporting cycles replaced with on-demand AI insights delivered in seconds, not days.

0%
Scheduling admin eliminated
Scheduling Agent

Back-and-forth calendar coordination fully automated — from first contact to confirmed meeting, zero manual steps.

Why Custom

Off-the-Shelf
vs Custom
AI Agents

Generic AI products are built for the average business. Your business is not average. Here's what you lose — and what you gain — by going custom.

Build Custom
Off-the-Shelf Tools
  • Built for generic use cases — rarely matches your specific workflow
  • No understanding of your terminology, products, or brand voice
  • Limited integrations — fights your existing stack rather than joining it
  • Compliance handled at the vendor level — no control over data flow
  • You adapt your processes to fit the tool's limitations
  • Pricing scales against you as usage grows
Custom AI Agent by TechnoVedaAI
  • Designed around your exact processes and business objectives
  • Trained on your data, your terminology, your brand voice
  • Integrates natively with every tool in your stack via API
  • Full data sovereignty — deployed in your environment if required
  • The tool adapts to your operations — not the other way around
  • Fixed-price build — you own the asset, costs don't compound
Our Approach

How We Build Your AI Agent

A disciplined, outcome-first development process. Every decision is grounded in your business objectives — not in what's technically interesting.

Step 01 · Define
Objectives & Scope

We work with your team to define the agent's goals, success metrics, edge cases, escalation rules, and constraints — before a single line of code is written.

Agent Brief & Spec
Step 02 · Design
Logic & Knowledge Base

We design the decision logic, build the knowledge base from your documents and data, select tools and integrations, and map every conversation or action path.

Architecture Blueprint
Step 03 · Build & Test
Controlled Environment

We build the agent in a sandboxed environment and rigorously test against real scenarios — including adversarial edge cases, failure modes, and escalation triggers.

Validated Agent
Step 04 · Integrate
Connect Your Stack

We integrate the agent with your existing platforms — CRM, helpdesk, calendar, databases, messaging tools, and APIs — with full documentation and handover training.

Connected Agent
Step 05 · Optimise
Monitor & Refine

Post-launch, we monitor agent performance in production, analyse interaction logs, identify friction points, and refine based on real-world data and user feedback.

Performance Dashboard
Integrations

Your Agent Connects to Everything You Use

AI agents are only as powerful as the systems they can interact with. We build agents that plug directly into your existing stack.

HubSpot CRM Salesforce Zoho CRM Slack Microsoft Teams Google Workspace WhatsApp Business API Messenger Zendesk / Freshdesk PostgreSQL / MySQL MongoDB AWS S3 / Lambda Power BI / Looker QuickBooks / Tally Calendly / Cal.com Zapier / Make / n8n Any REST API
Technology

Production-Grade AI Infrastructure

OpenAI GPT-4o / o1 Anthropic Claude 3.5 Sonnet Gemini 1.5 Pro LangChain & LangGraph LlamaIndex Pinecone / Weaviate / Chroma Function Calling & Tool Use Python / FastAPI Node.js / TypeScript AWS Lambda / ECS Azure AI Foundry RAG & Vector Search
Client Results

Real Agents. Real Outcomes.

Lead Qualification

"We were missing 40% of inbound leads because our team couldn't respond fast enough. TechnoVedaAI's lead qualification agent now responds in under 30 seconds, 24/7. Our qualified pipeline grew 3× in the first month."

VN
Vikram Nair
VP Sales, GrowthPath SaaS
★★★★★
Customer Support

"Our support team was drowning in repetitive questions. After deploying the AI support agent, 80% of tickets are resolved without human involvement. The team now handles only complex, high-value cases. CSAT actually went up."

PR
Priya Reddy
Director of CX, NovaBuy Commerce
★★★★★
Data Analysis

"Our COO used to spend 6 hours every Monday pulling and interpreting data for the weekly review. The data analysis agent now delivers a full board-ready summary every Sunday night. It's like having a full-time analyst."

MS
Manish Shah
CEO, Clearpoint Logistics
★★★★★
Questions & Answers

Frequently
Asked

Everything businesses ask us before commissioning their first AI agent.

Ask Us Directly
A chatbot is reactive — it responds to user inputs with pre-defined or AI-generated text. An AI agent is proactive and goal-driven — it receives a goal, breaks it into steps, uses tools (APIs, databases, code execution), takes real actions in the world, observes the results, and continues until the goal is achieved. An agent can send emails, update your CRM, book appointments, and query databases autonomously. A chatbot just talks.
A focused single-purpose agent (e.g. lead qualification or appointment booking) typically goes live in 7–14 days. Multi-system agents with complex decision logic and multiple integrations take 3–5 weeks. We work in 2-week sprints, so you see a working version early and can provide feedback before final deployment.
All agents we build include human-in-the-loop escalation logic. When the agent encounters an ambiguous situation, a confidence threshold is crossed, or a sensitive action is required, it escalates to a human with full context. We also build guardrails, output validation layers, and fallback behaviours — so errors are caught before they cause downstream problems. Post-deployment monitoring lets us identify and fix edge cases quickly.
You do. Every agent we build is fully transferable — you receive the complete codebase, documentation, architecture diagrams, and deployment configuration. There are no licensing fees or ongoing vendor lock-in. You can host it in your own environment or we can manage the infrastructure for you on a retainer basis.
Yes. We use RAG (Retrieval-Augmented Generation) architecture to ground agents in your specific knowledge — product catalogues, company policies, past conversations, FAQs, contracts, and any other structured or unstructured documents you provide. This ensures the agent answers accurately from your data, not from generic internet knowledge.
Single-purpose agents start from ₹85,000 / $1,000. Multi-integration, production-grade agents typically range from ₹3–12 lakh / $3,500–$14,000. All projects are fixed-price — scoped after a free assessment so you know the full cost before committing. Monthly maintenance and optimisation retainers are available from ₹18,000 / $220 per month.
3 project slots open this month

Let an AI Agent
Handle the
Repetitive Work

Talk to our team about deploying a custom AI agent in your business. We'll identify the highest-impact use case and show you exactly how it would work — in a free 30-minute demo call, no commitment required.

  • Live agent demo built around your actual use case
  • Custom ROI estimate for your specific workflows
  • Fixed-price scoping — zero surprise invoices
  • You own the agent — no vendor lock-in, ever
VN
PR
MS

38 agents deployed this quarter.
Avg ROI identified: 4.2× within 90 days.

Request a Free Agent Demo

30-min call · We build a demo around your use case · No commitment

Confidential · No commitment · Response within 4 hours