AI Assistants and Agents That Do Real Work for Your Business
TENSIX builds custom AI assistants and AI agents (software that reads information, decides and acts for you) that work with your own documents, data and tools. You get a working system on your own accounts, at fixed prices From ₹65,000, and you own all the code.
What is an autonomous AI agent for enterprise business?
An autonomous AI agent is goal-directed software that perceives enterprise data, executes multi-step deterministic reasoning, and safely triggers external API actions (CRM updates, ERP sync, email replies, WhatsApp triage) without continuous manual intervention. Unlike basic chatbots, production AI agents leverage private Retrieval-Augmented Generation (RAG), structured guardrails, and deterministic tool-calling to eliminate hallucinations while preserving 100% intellectual property ownership on your own cloud infrastructure.
Production AI Agents vs Fragile Agency Chatbots
Comparing TENSIX deterministic edge workflows against typical agency wrapper bots built on unoptimized monolithic servers.
Who This Is For
Autonomous reasoning systems built for businesses handling repetitive data workflows.
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Support & Operations TeamsAutomated FAQ
Teams answering repetitive customer queries or internal employee requests that can be handled 24/7 with zero latency.
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Knowledge-Heavy EnterprisesPrivate RAG
Businesses with complex manuals, operational SOPs, or dense catalogs that teams spend hours manually searching.
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Growth & Sales OperatorsLead Triage
Owners and leaders wanting inbound inquiries qualified, CRM records updated, and custom reports drafted without adding headcount.
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Data-Sensitive OrganizationsSelf-Hosted
Companies that need advanced LLM workflows with strict RBAC guardrails, keeping proprietary company IP within their private servers.
How it works
Every project is planned, built and checked by Hemal Shah, who uses AI tools to work faster.
Call: you explain the task you want the AI to take over, and you agree with Hemal what a good result looks like.
Written plan and fixed price: which documents, tools and channels (website, WhatsApp, Slack) it will use.
Build and test: Hemal builds the system, using AI coding tools to move faster, and tests it on your real examples.
Launch on your accounts: it goes live on your website or chat tools, and your team gets a short walkthrough.
Hand-over: you receive the code, logins and notes. Ongoing support is available if you want it.
Plans and prices
Fixed scope agreed in writing before work starts. You own the code and accounts.
Custom RAG Document Assistant
An AI assistant that answers questions using only your own manuals, SOPs and documents (this is called RAG).
- Reads your PDFs and documents and finds answers by meaning, not just keywords
- Chat box for your website, or a bot inside WhatsApp or Slack
- Shows which document and page each answer came from, so staff can check it
- Simple upload page to add new documents any time
- Turnaround: 5–7 business days
Multi-Agent AI Workflow
A small team of AI agents, each with one job, that work together on a repeating task such as research and writing.
- Agents pass work along a chain, for example research → write → review → publish
- Connected to your database and apps so the agents can look things up and update records
- Runs on a schedule you choose
- Checks at each step; work that fails a check is retried or sent to a person
- Turnaround: 10–14 business days
End-to-End AI Process
A complete business process run by AI from start to finish, with a person able to review and step in.
- Example process: find a lead → check fit → add details → send email → book a call → log it in your CRM
- Works with voice notes, scanned documents and text
- Dashboard to see what the system did and approve important steps
- Turnaround: 2–4 weeks
Common questions
How much does it cost to build an AI agent or chatbot, and what are the timelines?
A private internal document search assistant costs ₹29,999 ($400) and takes 5–7 business days. A multi-agent workflow that handles customer queries or lead triage costs ₹59,999 ($800) and delivers in 10–14 days. End-to-end custom autonomous systems with external API integrations start at ₹99,999+ ($1,300+) in 2–4 weeks.
Will the AI leak our private company data or customer chats to public LLMs?
No. Your knowledge base and documents are indexed in a private vector database (e.g. self-hosted PostgreSQL pgvector) that runs entirely inside your own cloud account. We configure enterprise zero-data-retention API endpoints with OpenAI and Anthropic, ensuring your business data is never stored or used to train public AI models.
How do you prevent the AI from hallucinating or giving wrong answers?
We build deterministic RAG (Retrieval-Augmented Generation) pipelines that restrict the AI to citing only verified passages from your company documents. If an answer cannot be proven with an exact cited source, the agent responds with a safe fallback or escalates the query directly to a human team member.
Can the AI agent connect to WhatsApp, our CRM, or our database?
Yes. We build custom API connectors so your AI assistant can read/write data to WhatsApp Business, Google Sheets, PostgreSQL, Hubspot, or custom internal backends via secure webhook actions.
Are there ongoing subscription or API fees?
TENSIX does not charge per-user or recurring platform fees. You pay the AI model providers (OpenAI, Anthropic, or cloud host) directly based on actual token usage, which typically ranges from ₹500 to ₹3,000/month for most small-to-medium businesses. We provide exact operational cost estimates upfront.
Ready to talk about AI Agent Development?
Tell us what you need. You get a written plan and a price before any work starts.
Verified Research & System Designs
Explore production benchmarks and implementation playbooks authored by our systems architects.
Building AI Agents with FastAPI & LangGraph →
Production design patterns for multi-agent execution.
Enterprise RAG Architecture Case Study →
Deterministic vector search with pgvector and sub-50ms latency.
AI & Digital Survival for Pharma →
Document compliance and automated retrieval systems.