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Cartoon MangoCartoon Mango
AI Agent Engineering — Bengaluru

We Build AI Agents That Replace Manual Workflows

30+ production agents deployed for ticket triage, document extraction, and multi-system orchestration using LangChain, LangGraph, and CrewAI.

See How We'd Architect Your Agent
✓ Proposal in 48 hours✓ NDA-ready✓ Weekly demos
AI Agent architecture — brain connected to tickets, documents, database, and chat
AI Agent Development — BengaluruGet Architecture Sketch

Enterprise and Startup Teams Across Bengaluru

ClearTripAdobeMahindraKotak Mahindra BankPorteaDrivezy

What Sets Production Agents Apart

Three Things That Separate a Demo From a Deployed Agent

01

Edge-Case Engineering

Real customer data is messy. Production agents need retry logic, fallback chains, structured error recovery, and evaluation pipelines — not just a good prompt.

02

Cost-Controlled Architecture

Model routing between Opus 4.6 and Haiku 4.5, token budgets per run, prompt caching, and rate limit management. The architecture that keeps your LLM bill predictable.

03

Deep Tool Integration

Agents that read from your CRM, write to your ERP, trigger Slack alerts, and query your databases through structured function calling — not just generate text.

What We Build

Real Agents Running in Production Right Now

Support Triage Agent

Classifies 2,000+ tickets/day, routes to the correct team, auto-resolves L1 issues. Reduced first-response time from 4 hours to under 2 minutes.

LangGraphJira APIClaude Sonnet 4.6

Document Extraction Agent

Processes invoices, contracts, and purchase orders. Extracts structured data, validates against ERP records, flags exceptions for human review. 94% accuracy on messy scans.

LangChainClaude Opus 4.6SAP Integration

Research & Report Agent

Monitors competitor pricing across 50+ sources, generates weekly intelligence reports with source citations. Multi-step reasoning replaces 12 hours/week of analyst work.

CrewAIWeb ScrapingClaude Opus 4.6
"Cartoon Mango was great to work with. They improvise and provide 24X7 support."
— Gaurav Saxena, Media Manager, BCCI

Architecture

Our AI Agent Stack

Layer 1

LLM Selection

Claude Opus 4.6 for complex reasoning. Sonnet 4.6 for tool calling. Haiku 4.5 for classification. Automatic routing based on task complexity.

Layer 2

Orchestration

LangGraph for stateful multi-step workflows. CrewAI for multi-agent delegation. Custom loops for simple tool-calling agents.

Layer 3

Tool Integration

Function calling with structured schemas. MCP servers for enterprise connectors. Database, API, email, and Slack integrations.

Layer 4

Production

Retry logic with exponential backoff. Fallback chains across models. Token budgets, cost alerting, and observability dashboards.

30+

AI Agents Deployed

4-8

Weeks to Production

60%

Lower LLM Costs

via Opus/Haiku model routing

<2s

P95 Response Time

Our Process

From Scope to Production in 4-8 Weeks

Week 1-2

Agent Scoping

Map your workflows, identify agent-ready tasks, define success metrics. Deliverable: agent architecture document and cost model.

Architecture Doc
Week 3-4

Core Build

LLM selection, tool integration, prompt engineering, evaluation suite. Weekly demos of agent behavior on real data.

Working Agent
Week 5-6

Integration

Connect to your CRM, ERP, databases. Edge case handling and human-in-the-loop checkpoints for high-stakes decisions.

System Integration
Week 7-8

Production

Deploy with monitoring, cost tracking, and alerting. Runbook for your team. 30-day post-launch support included.

Live Deployment

Investment

Transparent Pricing

Most agencies hide pricing. We don't. Exact costs depend on scope — we provide a detailed estimate after the scoping sprint.

Single Agent

₹1-2L2-4 weeks

One focused agent — ticket triage, document extraction, or data analysis. Includes tool integration and production deployment.

Most Popular

Agent System

₹5-10L6-10 weeks

Multi-agent orchestration with shared memory, delegation workflows, and cross-system integration. For complex business processes.

Enterprise

On RequestScoped per engagement

Full autonomous workflow platform with multiple agent types, admin dashboard, cost controls, and organization-wide rollout.

Contact Us

Why Us

Built for Engineering Teams

Embedded with your team

Same Slack, same standups, same sprint rituals. We integrate into your workflow — no handoff culture, no 40-slide decks. Your team stays in control.

Expertise you can't hire

LangGraph + CrewAI production experience is rarer than Rust talent. We've shipped 30+ agents — your team doesn't need to learn on your project.

Not just demos

We've built agents for fintech ticket triage, manufacturing document extraction, and SaaS research automation. Real production loads, not hackathon prototypes.

FAQ

Common Questions

  • An AI agent reasons, plans, uses tools, and takes autonomous actions across multi-step workflows. Chatbots follow pre-defined scripts. Agents handle tasks like research, data analysis, ticket triage, and workflow execution by calling APIs, querying databases, and making decisions.

We Have Delivered 100+ Digital Products

Previous case study
IPL Fantasy League

Sports and Gaming

IPL Fantasy League
Innovation and Development Partners for BCCI's official Fantasy Gaming Platform
Kotak Mahindra Bank

Banking and Fintech

Kotak Mahindra Bank
Designing a seamless user experience for Kotak 811 digital savings account
News Laundry

News and Media

News Laundry
Reader-Supported Independent News and Media Organisation
Next case study

Client Testimonials

What Our Partners Say

"Cartoon Mango was great to work with. They improvise and provide 24X7 support."

BCCI
Gaurav SaxenaMedia ManagerBCCI

Tell Us What Your Team Is Automating

Share your workflow challenge. We'll respond with an agent architecture sketch and cost estimate — not a sales pitch.

  • Agent architecture sketch for your use case
  • Timeline and cost estimate
  • Engineering-first conversation, no fluff

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