Move beyond generic chat windows. SDWebXperts engineers production-ready autonomous AI agents, multi-agent swarms, and private RAG systems that execute multi-step business logic, interact with your internal APIs, and deliver verifiable operational savings.
Why Leading Businesses Are Upgrading to Autonomous AI Agents: Standard chatbots only generate text. Autonomous agents possess cognitive agency — querying your databases, executing multi-step workflows across external APIs, verifying factual accuracy, and escalating safely to your human team only when needed.
Engineered for high accuracy, continuous autonomous operation, and seamless enterprise integration.
Instant, human-like resolution across WhatsApp, Web Chat, and Email. Powered by semantic RAG on your company knowledge base, warranty manuals, and policy documents.
Autonomous agents that engage inbound website leads 24/7, ask qualifying discovery questions, score prospects via BANT criteria, and book sales calls straight into Google Calendar.
Multimodal vision agents that parse complex PDF invoices, contracts, receipts, and KYC documents, extracting structured JSON data directly into ERP, Tally, or SQL databases.
Agents that continuously monitor competitor pricing, search engine rankings, and ad creatives — generating optimized copy variations and alerting your team on Slack or WhatsApp.
Engineering sidecars that ingest real-time error logs, triage Sentry/CloudWatch alerts, reproduce runtime bugs, and draft precise unit test fixes for your developers to approve.
Hierarchical supervisor-worker networks built with LangGraph and CrewAI. Specialized agents collaborate to complete complex, multi-stage workflows with iterative self-correction.
We build on enterprise foundation models and proven orchestration frameworks for sub-second latency and zero hallucination drift.
Production AI systems demand enterprise-grade privacy and deterministic safety safeguards.
Clear, predictable project pricing designed to deliver immediate operational ROI.
Single-domain autonomous agent engineered for high-volume customer support, sales qualification, or document extraction.
Starts from ₹1,50,000
Coordinated network of specialized agents executing complex cross-departmental operations with supervisor routing.
Starts from ₹3,00,000
From initial workflow mapping to production launch in predictable, milestone-driven sprints.
We audit your manual workflows, define agent decision boundaries, calculate token unit economics, and establish deterministic success criteria before writing code.
We ingest your proprietary business knowledge into pgvector/Pinecone and engineer type-safe Pydantic function schemas for your internal APIs and databases.
We configure the agent's state graph, memory buffers, and NeMo guardrails — ensuring zero hallucination drift, automated PII masking, and human escalation gates.
We run synthetic adversarial test suites and LLM-as-a-judge benchmarking across hundreds of real-world edge cases to verify 99%+ factual accuracy.
Containerized production deployment to Google Cloud, AWS, or on-premise infrastructure with real-time Langfuse tracing, latency alerts, and ongoing support.
Want to see our comprehensive 10-step agent engineering methodology? Explore our transparent development timeline.
View 10-Step AI ProcessEverything you need to know about custom AI agent development with SDWebXperts.
Unlike simple chat interfaces that only generate text replies, an autonomous AI agent possesses agency: it maintains persistent stateful memory, reasons over multi-step objectives, queries your private databases via semantic RAG, calls external APIs, and executes real-world business actions within strict safety guardrails.
Our custom AI agent development packages start from ₹1,50,000 for a specialized, production-ready agent. This includes workflow discovery, private RAG knowledge ingestion, 3 custom tool/API integrations, safety guardrails, PII redaction, cloud deployment, and 30 days of active warranty monitoring.
We enforce strict Zero Data Retention policies using enterprise LLM API tiers where your data is never used to train public models. For regulated sectors (banking, healthcare, defense), we deploy open-weights models (like Llama 3 or DeepSeek) entirely within your private cloud VPC or on-premise servers.
Yes. Our AI agents interface directly with the official WhatsApp Business Cloud API, CRM systems (HubSpot, Zoho, Salesforce), PostgreSQL/MySQL databases, Google Workspace, and internal REST APIs via type-safe function schemas.
A standard specialized AI agent typically takes 3 to 4 weeks from discovery to production launch. Complex multi-agent swarms with multiple departmental workflows take between 5 to 8 weeks in agile sprints.
Every deployment includes full telemetry monitoring via Langfuse. We monitor token latency, user feedback scores, and edge-case exceptions. Ongoing retainers are available for continuous prompt tuning, vector database synchronization, and model upgrades.
Book an architecture consultation with Sankiliveeran to evaluate your automation feasibility and receive a customized technical roadmap.