01Intent
Intent Detection
Understand the user's request, intent, and available business context.
Custom AI Agent Development
Deploy intelligent AI agents that handle sales, support, and operations autonomously, with human oversight when it matters.
Multi-Agent Systems
Workflow Automation
Natural Language Processing
Custom Integrations
Overview
Gyan VaniAi architects and deploys custom autonomous AI agents designed to automate complex, multi-step business workflows across sales, customer support, and revenue operations. Our AI agents go beyond basic chatbots by using context-aware reasoning, tenant-isolated Retrieval-Augmented Generation (RAG), and secure API tool calling to query databases, update CRM records, and execute business actions independently while maintaining human-in-the-loop oversight.
Who it's for
Operations leaders, engineering directors, and revenue teams needing AI that executes multi-step workflows across CRMs, messaging channels, and backend APIs.
What you get
- AI agent architecture
- Workflow automation
- Knowledge/RAG integration
- API and tool integrations
- Human handoff
AI Agent Capabilities
Autonomous Reasoning
Agents can break down complex tasks into sequential steps and execute them dynamically.
Workflow Automation
Trigger actions across your CRM, email, and messaging platforms without human input.
Natural Language Processing
Understand intent, extract entities, and summarize unstructured data accurately.
Tool & API Integration
Connect to external APIs, databases, and business tools to read/write real-time data.
Knowledge / RAG
Retrieve accurate answers from your secure, tenant-isolated vector databases.
Human Handoff
Detect frustration or complex requirements and escalate seamlessly to a live agent.
AI Agents That Actually Take Action
Traditional chatbots primarily respond to questions. AI agents can understand context, retrieve business knowledge, use connected tools, execute workflows, and hand tasks to human teams when needed.
Traditional Chatbot
- • Answers questions
- • Limited workflow execution
- • Mostly conversational
- • Limited tool usage
AI Agent
- • Understands business context
- • Uses knowledge and connected tools
- • Executes multi-step workflows
- • Can hand work to humans
How AI Agents Power Your Workflows
From context analysis to tool execution and verified outcomes in real time.
01. IntakeMultichannel
03. NLU IntentLive NLP
06. 24/7 AgentAutonomous
08. Closed-WonERP Sync
02RAG
Knowledge Retrieval
Retrieve relevant information from approved business knowledge sources.
03Logic
Agent Reasoning
Determine the next step based on the available context and workflow rules.
04Tools
Tool Selection
Choose the appropriate connected API, CRM action, or business tool.
05Action
Action Execution
Perform the required workflow action through connected systems.
06Escalate
Human Handoff
Escalate to a human when the workflow requires review or intervention.
07Audit
Data Verification
Check the outcome before completing the workflow.
08Done
Workflow Completion
Record the result and move the process to its next state.
Frequently Asked Questions
Everything you need to know about our AI CRMs, integrations, and deployment timelines.
An AI agent is software that can understand context, plan multi-step workflows, call tools and APIs, update records, and complete business tasks autonomously within defined rules.
Traditional chatbots mainly answer basic questions based on scripts. AI agents can analyze context, retrieve internal knowledge, select and execute tools, and complete multi-step business actions across systems.
Yes. We connect AI agents to custom CRMs, WhatsApp Business API, and third-party systems via secure APIs and webhooks to synchronize lead data, conversation context, and customer records.
Yes. We use Retrieval-Augmented Generation (RAG) with tenant-isolated data pipelines to ensure the agent retrieves accurate answers from your approved documentation, product catalogs, and policies.
Yes. We equip agents with function calling and tool integrations so they can query databases, schedule calendar events, trigger webhooks, and execute actions across your business software stack.
Yes. Our agents detect complex requirements, sentiment shifts, or policy escalations and smoothly transfer the conversation to human team members along with the complete interaction summary.
Yes. We design multi-agent architectures where specialized agents collaborate to handle intake, qualification, research, data entry, and follow-ups across complex business processes.
We implement detailed audit logging, step tracking, and observability tools so your team can monitor every decision, tool call, and execution step with full transparency.
Initial MVP deployments typically ship in 3-5 weeks, while comprehensive multi-agent architectures with complex integrations take 6-10 weeks depending on workflow scope.
Every AI agent workflow is custom-architected around your specific business logic, role permissions, integrations, and operational requirements.
Ready to Build Your AI Agent?
Tell us about your workflows, systems, and automation goals. We'll help identify where AI agents can create the most practical impact.
AI Lead Enrichment & Scoring
Intelligent Skill-Based Assignment
24/7 Autonomous AI Sales Agent
Omnichannel Communication Hub
