AI Agent Development Company
Introduction - AI agent development
This is our general entry point for AI agents: task-specific assistants that handle a defined job - answering support questions against your documentation, researching and summarizing information, or automating a specific internal process. Scope ranges from a straightforward Q&A agent to something closer to our agentic workflow platform for genuinely multi-step operations.
We start every engagement by scoping the actual task narrowly - "answer questions about our product catalog" is a much smaller, cheaper, more reliable build than "handle all customer service" - and we'll recommend the narrower scope when it gets you 80% of the value at a fraction of the cost.
Matching the agent to the actual job
Most businesses that come to us saying "we need an AI agent" actually need one of three different things: a support chatbot grounded in their own documents (RAG), a research/summarization assistant, or a multi-step automation. We ask enough questions during discovery to recommend the right one rather than building whatever sounds most impressive.
Every agent we build uses official LLM APIs (OpenAI, Gemini) and is grounded in your actual data where accuracy matters - no hallucinated answers presented as fact without a way to verify them.
What's included
- Task scoping to match agent complexity to actual need
- Retrieval-augmented generation (RAG) grounded in your documents/data
- Official LLM API integration (OpenAI, Gemini) - no unofficial access
- Human escalation path when the agent is uncertain
- Usage and cost monitoring dashboard
- Documented prompts and logic - not a black box you can't maintain
Our process
1. Scope the actual task
We define exactly what the agent should and shouldn't handle, and what data it needs access to, before any build starts.
2. Build & ground in your data
The agent gets built against your real documents/data on staging, tested against realistic questions - not cherry-picked demo queries.
3. Pilot & monitor
A limited pilot with real usage, checking accuracy and cost before full rollout, with monitoring in place from day one.
Pricing
A narrowly-scoped Q&A agent costs meaningfully less than one covering several distinct task types. Range: Rs 80,000 - 600,000 - indicative, final quote after discovery. Request a quote or WhatsApp +92 324 2991303.
Industries we serve
Customer support teams drowning in repetitive questions, research/content teams needing summarization help, and operations teams with a specific repetitive task worth automating.