AI Agents
Agents that qualify leads, answer questions, route tasks, update systems and hand off to humans when needed.
AI ENGINEERING STUDIO · PONEGRAM
We build AI systems that actually do the work.
AI agents, RAG assistants, automation, integrations and Python systems designed around the way your business really operates.
Building production-ready systems for real operations
AI AGENTS ✦RAG SYSTEMS ✦WORKFLOW AUTOMATION ✦PYTHON BACKENDS ✦API INTEGRATIONS ✦WEB APPLICATIONS ✦AI AGENTS ✦RAG SYSTEMS ✦WORKFLOW AUTOMATION ✦
01 / SOLUTIONS
From AI idea to a working business system.
Every build is designed around a real workflow, the tools you already use, and the outcome you need.
RAG Assistants
Knowledge assistants grounded in your PDFs, documentation, FAQs, databases and internal knowledge.
Automation
Connect business events to actions across CRM, email, Shopify, Sheets, Slack, calendars and APIs.
Python Systems
Custom APIs, backends, data pipelines, scraping systems and database-backed applications built for your use case.
Web Applications
Fast, responsive websites and web apps with thoughtful UX, strong foundations and production-ready deployment.
Integrations
Make your existing tools behave like one system instead of isolated islands of data and manual work.
02 / CONNECTED STACK
Real tools. Real integrations. One operating layer.
Ponegram connects the systems your team already uses, so AI can read, reason, act and hand off across the workflow.
n8n
WhatsApp
ShopifySlack
Gmail
HubSpot
Google Sheets
Notion
TelegramOpenAI
Python
PostgreSQL03 / SYSTEM ARCHITECTURE
Your tools. One intelligent workflow.
We connect the front door, AI logic, business systems and human handoff into a single operating flow.
PONEGRAM ENGINE
Design the system around the operation.
Instead of adding another disconnected chatbot, we map the complete journey from trigger to outcome.
01 incoming_event → WhatsApp / Web / API
02 classify_intent → AI Agent
03 retrieve_context → RAG / Database
04 take_action → CRM / Shopify / Email
05 verify_result → ✓ policy + business rules
06 handoff → Human when needed
// observable, testable, maintainable
04 / LIVE CONCEPT
Answers grounded in your knowledge.
A visual example of how a Ponegram RAG assistant can reason over your business information.
Knowledge Assistant● ONLINE
What is our refund policy for an order delivered late?
For orders delayed beyond the promised delivery window, the customer is eligible for the late-delivery policy. I found the relevant clause and can explain the exact conditions.
Source · Returns & Delivery Policy.pdf
Relevant section retrieved from your connected knowledge base.
Relevant section retrieved from your connected knowledge base.
Can you create a support ticket?
Yes. I can create the ticket, attach the conversation context and route it to the correct team.
RAGGround answers in your own information.
APIConnect the assistant to real actions.
TraceKeep useful context around decisions.
HumanEscalate when automation should stop.
05 / SYSTEMS WE BUILD
Practical automation, not demos that stop at the chat box.
Selected solution patterns that show how AI becomes part of an operational workflow.
WHATSAPP · CRM
Lead qualification agent
Capture inbound conversations, qualify intent, collect structured information, update CRM records and route high-value leads.
DOCUMENTS · RAG
Internal knowledge assistant
Turn scattered PDFs, policies and internal documents into a searchable assistant with grounded responses and source context.
06 / PROCESS
Four steps from messy workflow to working system.
Clear scope, clear architecture, clear handoff. No mystery in the middle.
01 — DISCOVER
Map the operation
Understand the workflow, tools, bottlenecks and desired outcome.
02 — ARCHITECT
Design the system
Choose the AI, data, integrations, business rules and human checkpoints.
03 — BUILD
Develop + test
Build the workflow, connect APIs, test edge cases and validate the experience.
04 — LAUNCH
Deploy + improve
Go live with monitoring, documentation and an improvement path.
07 / STARTING POINTS
Start with the system you actually need.
These are simple starting points. Final scope depends on integrations, data, UX and deployment requirements.
FOUNDATION
Automation Starter
₹15k starting
- 1 workflow
- API / webhook integration
- Basic business logic
- Deployment guidance
SYSTEM
AI Automation Build
₹40k starting
- AI agent or RAG workflow
- Multiple integrations
- Database + business rules
- Testing + deployment
CUSTOM
AI Engineering
Custom
- Complex multi-system architecture
- Custom Python backend
- Advanced RAG / agents
- Ongoing improvement
08 / FAQ
Questions before we build.
Short answers to the things teams usually want to understand first.
Yes. The agent can be connected to your business tools, knowledge base, APIs and defined actions rather than being limited to conversation.
Yes. We can connect APIs, webhooks and supported integrations across CRM, WhatsApp, Shopify, Gmail, Sheets, Slack, calendars and other systems.
Yes. Documents can be processed into a retrieval system so answers are grounded in the information you provide, with source context where appropriate.
Yes. Ponegram can build responsive marketing sites and web applications alongside the AI and automation layer.
09 / START A PROJECT
Tell us what the system needs to do.
Describe the workflow, the tools involved and the outcome you want. We can turn that into a practical technical plan.