AI Agent Development Company.
Agents That Do the Work.
Custom AI agents that read a request, look up your data, decide the next step and act across your tools, with a person approving what matters. Built for businesses across India and worldwide.
What's Included
Use Case & ROI Mapping
We pick the workflow where an agent saves the most time or money, and agree what success looks like before we build
Agent Design & Guardrails
What the agent can see, which tools it can use, what it may do on its own and when it hands over to a person
Integrations
Connections to your CRM, WhatsApp, email, Google Workspace, ERP or custom systems through APIs, n8n workflows or MCP servers
Testing & Evaluation
Tested against real past cases before launch, with accuracy and failure checks you can review
Launch, Monitoring & Tuning
Every action logged, regular reviews of what the agent got right and wrong, and updates as your workflows change
Trusted by businesses across 12+ industries
The Problem
The Problem
Your team spends hours on work that follows the same pattern every day: reading enquiries, checking details in three systems, copying data across and sending the same follow-ups.
Rule-based automation handles the predictable parts, but breaks the moment a message is worded differently or a document arrives in a new format. Hiring more people to cover the gaps gets expensive fast.
AI agents handle the variation. They understand the request, find the right information, take the next step in your tools and escalate the cases that need judgement, so your team only handles the exceptions.
How we build AI agents that are safe to switch on.
An AI agent is software that uses a large language model to work through a task. It reads the input, decides what to do, calls the tools it is allowed to use, checks the result and either finishes the job or hands it to a person. The difference from a chatbot is action: a chatbot answers, while an agent answers and then updates the CRM, books the slot or raises the invoice.
We start small and specific: one workflow, clear rules for what the agent may do on its own, and a review step wherever a mistake would be costly. We build on proven models such as Anthropic's Claude and OpenAI's GPT models, connect them to your systems through APIs, n8n and MCP, and log every decision so you can see why the agent did what it did.
We have built AI systems for our own operations and for clients, from an AI hiring pipeline that screens and ranks candidates to multi-location Google Business Profile management and chat-to-order automation that saves an e-commerce brand 500+ person-hours a month.
Why We Are Different
Wonkrew vs the typical AI agent project.
“Most AI projects fail because they start with the technology, not the problem. We build AI that solves real business problems, not science experiments.”
Satish Rajendran
Founder, Wonkrew
22+ years in tech and marketing. Former Cognizant. 500+ projects delivered.
How We Work
How we build AI agents.
From the first workflow to a monitored agent in production.
Pick the Workflow
We map the tasks your team repeats, estimate the hours and errors involved, and choose the first workflow for an agent. You get a short plan with scope, success measures and cost.
Design the Agent
We define what the agent can read, which tools it can call, what it may do alone and where a person approves, then write the prompts, rules and fallback paths.
Build & Connect
We build the agent on Claude or OpenAI models with retrieval over your data, and connect it to your systems through APIs, n8n workflows or MCP servers.
Test, Launch & Tune
We run the agent against real past cases, fix what it gets wrong, then launch with full logging. We review its decisions with you and keep improving it.
Transparency
How we report AI agent results.
No black box. You can see what the agent did, why it did it and what it saved.
Action Log
Every step the agent takes is recorded: what it read, what it decided, which tool it called and the result. You can audit any decision.
Accuracy & Escalations
How often the agent finished a task correctly, how often it handed over to a person, and why.
Time & Cost Saved
Hours saved, tasks completed, response times and running costs, so the return on the agent is clear every month.
Industries We Serve
Across every vertical.
Manufacturing
Kassa, Simta
F&B
Cake Square, Chocomans
EdTech
Stride, Everwin
Healthcare
Kinesis, Cansaa
Sports
Football Plus
Hospitality
Sparsa Resorts
Legal
Lincoln, Pravda
E-Commerce
Velonae, Beanies
AI agent and automation results.
Wonkrew AI Hiring System
An AI hiring pipeline that screens resumes, scores candidates and automates interview scheduling for our own recruitment. Reduced hiring time by 70% while improving candidate quality.
Less Hiring Time
AI Engine
Cosmetics E-Commerce Brand
Orders that arrive as chats on WhatsApp, Instagram and Facebook Messenger are processed automatically instead of being typed in by hand. Live within 2 months.
Hours Saved/Month
Chat Channels
Oruplace
An AI system built on n8n and Claude that manages Google Business Profiles across multiple locations, drafting review responses and publishing posts at scale.
GBP Management
Stack
Oruplace
A 9-step pipeline that takes a single keyword and produces an optimised, publish-ready blog post without manual steps in between.
Pipeline
End-to-End
Tools & Technology
The tools we work with.
AI Models
Agents & Workflows
Where Agents Work
FAQ
Common questions about ai agent development.
An AI agent is software that uses a large language model to complete a task, not just answer a question. It reads the request, decides the next step, uses the tools you allow, such as your CRM, email or WhatsApp, and either finishes the job or hands it to a person.
A chatbot answers questions. Rule-based automation follows fixed steps and breaks when the input changes. An agent understands varied input and decides which steps to take, so it can handle the messy cases that rules cannot, within the limits you set.
Common first agents qualify leads from WhatsApp or web forms, answer customer questions from your own documents, process orders or invoices from emails and chats, prepare reports and keep your CRM up to date. The best first use case is a repetitive task your team does every day.
AI agent projects start at Rs.2,00,000 ($2,500), depending on how many systems the agent connects to, the volume it handles and how much human review it needs. AI model usage is billed separately by the provider and depends on volume; we estimate it up front. You get a fixed scope and estimate after a short discovery call.
A first agent for a single workflow is typically ready for testing within 4 weeks, in line with our AI MVP timeline. Agents that connect to several systems or need approval flows take longer, and we agree the timeline in the plan before we start.
Only within limits. We give each agent the smallest set of permissions it needs, require approval for risky actions such as payments or customer-facing changes, and log every decision. You decide where a person stays in the loop.
We mostly build on Anthropic's Claude and OpenAI's models, with retrieval over your data, n8n for workflows and MCP or direct APIs to connect your systems. We choose per project based on accuracy, cost and where your data needs to stay.
Yes. You own the code, prompts and workflows, and your data stays yours. There is no lock-in.
From Our Blog
AI Agent Development insights.
Other AI Products & Systems Services
Custom AI Platforms
End-to-end AI platform development. We build production-grade AI systems tailored to your business - from architecture to deployment.
AI Content Automation
Automate content creation at scale. AI-powered writing, editing, and publishing workflows that maintain quality and brand consistency.
AI Analytics Dashboards
Turn raw data into actionable intelligence. We build AI-powered dashboards that surface insights and drive better business decisions.
AI Chatbot Development
Build intelligent conversational agents. Custom chatbots powered by LLMs for customer support, sales, and internal operations.
AI Video & UGC Generation
Generate video content and UGC at scale using AI. Automated video creation, editing, and personalization for marketing campaigns.
Assessment & Testing Engines
AI-powered assessment platforms. Build adaptive testing, skill evaluation, and certification systems with intelligent scoring.
Workflow Management ERPs
AI-enhanced ERP systems. Custom workflow management platforms that automate operations and integrate with your existing tools.
AI Audit & Analysis Tools
Automated auditing powered by AI. Build tools that analyze compliance, performance, and quality across your business processes.
Document Intelligence
Extract insights from documents at scale. AI-powered document processing, classification, and data extraction for enterprise workflows.
AI Lead Scoring
Predict and prioritize your best leads. ML models that score prospects based on behavior, intent, and conversion probability.
AI Knowledge Management
Build intelligent knowledge bases. AI-powered search, retrieval, and organization of your company's collective knowledge.
AI Recommendation Engines
Personalize every interaction. Build recommendation systems that learn user preferences and drive engagement and revenue.
Let's talk about your first AI agent.
Tell us what you need. We will come back with a clear plan, timeline and cost.
Plan Your AI Agent