Autonomous Agents.
Human Governance.
Agents that act, not just answer.
We architect multi-agent systems that execute tasks autonomously on your infrastructure. Progressive autonomy model — agents earn trust through logged decisions before graduating to auto-execution. Critical actions remain permanently human-governed.
What Your Agent Fleet Can Do. On Your Infrastructure.
Six core capabilities that transform passive tools into active, governed team members.
Multi-Agent Orchestration
Design agent teams where each agent has a defined role, scope, and escalation path. Sales, support, research, operations — coordinated through a central orchestrator.
Progressive Autonomy
T1: Human reviews every action. T2: Agent auto-executes with notification after 95% agreement over 200+ samples. Contracts, pricing, and proposals stay T1 permanently.
Agent Memory & Context
Agents maintain conversation history, task state, and organisational knowledge. They learn from human corrections and improve over time — all on your servers.
MCP Integration
Model Context Protocol connects agents to your databases, APIs, and tools. Agents query systems, update records, and trigger workflows — not just answer questions.
RAG-Grounded Reasoning
Every agent response grounded in your documents via Retrieval-Augmented Generation. Cited sources. Zero hallucination policy. Verifiable, auditable outputs.
Audit & Compliance
Complete audit trail for every agent action — who triggered it, what context was used, what decision was made. Built for DPDP obligations by architecture, not afterthought.
Ed25519-Signed Delegation
Every agent-to-agent hand-off is cryptographically signed (Ed25519) — verifiable, tamper-evident delegation — with multi-tenant isolation enforced at five layers so one project can never see another’s data.
Budgets & Circuit Breakers
Agents run in ReAct loops bounded by per-task token and step budgets, with circuit breakers that halt runaway or looping behaviour. Execution stays predictable, cost-bounded, and auditable.
Multi-Channel Delivery
Agents reach staff where they already work — Slack, WhatsApp, Teams, Telegram, and email — wielding 30+ tools plus MCP (files, browser, code, vision, TTS/STT, SSH, IoT).
From Deployment to Progressive Autonomy
Map workflows, define agent roles & escalation paths
On-premise stack — GPU, LLM, vector DB, MCP integrations
Human reviews every agent action. Corrections logged.
95% agreement over 200+ samples → auto-execute with alerts
Ongoing monitoring, model updates, agent performance tuning
Agentic AI Transforms Passive Tools Into Active Team Members.
Four deployment patterns we've architected. Each runs entirely on-premise with full audit trails.
Customer Support Fleet
- →L1 triage agent routes queries by intent and urgency
- →L2 specialist agents resolve domain-specific issues
- →Escalation agent transfers to human when confidence drops
- →Knowledge update agent learns from every resolution
Sales & Marketing Agents
- →Lead research agent gathers prospect intelligence
- →Outreach agent drafts personalised messages (T1 reviewed)
- →Follow-up agent manages cadence and timing
- →Analytics agent surfaces pipeline insights and conversion gaps
Document Processing
- →Intake agent classifies incoming documents by type and priority
- →Extraction agent pulls structured data from unstructured formats
- →Validation agent cross-references against existing records
- →Routing agent sends to the appropriate department for action
Internal Operations
- →HR agent handles policy questions and leave requests
- →IT helpdesk agent troubleshoots common issues from knowledge base
- →Procurement agent tracks orders, approvals, and vendor SLAs
- →Compliance agent monitors regulatory changes and flags gaps
Need Custom? That's a Service. Need Ready-to-Deploy? Pick a Product.
Both run on your infrastructure. Both include ongoing maintenance.
- ◆Custom agent architecture designed for your workflows
- ◆Progressive autonomy model calibrated to your risk tolerance
- ◆Integration with your existing systems via MCP protocol
- ◆8–12 week engagement with ongoing maintenance
- ◆Agent roles, escalation paths, and governance defined with you
- ◆Dedicated architect from BiltIQ through deployment and beyond
- ◆Pre-built agentic capabilities from the BiltIQ product suite
- ◆Deploy in days, not quarters configuration over customisation
- ◆Fixed cost with unlimited usage. No per-query fees
- ◆Immediate ROI from day one of deployment
- ◆Ongoing updates and maintenance included
Agentic AI Deployed for Your Sector's Requirements.
Same progressive autonomy architecture. Compliance and regulatory alignment built into each deployment.
Healthcare
- →Patient triage agent with symptom analysis
- →Medical records processing and summarisation
- →Appointment scheduling and follow-up agent
- →Insurance verification and claims agent
Education
- →Student support agent with adaptive responses
- →Content generation and curriculum agent
- →Assessment creation and grading agent
- →Administrative and admissions agent
Government
- →Scheme eligibility and benefit matching agent
- →Document processing for citizen applications
- →Multilingual citizen support (Hindi + regional)
- →Compliance monitoring and audit agent
Manufacturing
- →Equipment troubleshooting and diagnostic agent
- →SOP and maintenance procedure agent
- →Quality control documentation agent
- →Supply chain tracking and alerting agent
BFSI
- →KYC document processing and verification agent
- →Policy and procedure automation agent
- →Fraud detection and transaction monitoring agent
- →Regulatory audit trail and compliance agent
Built on Proven, Open Infrastructure
Common questions about agentic AI
What is Agentic AI and how is it different from chatbots?
Agentic AI refers to multi-agent systems where AI agents autonomously execute tasks — querying databases, updating records, triggering workflows — not just answering questions. Unlike chatbots that wait for prompts, agentic AI proactively acts on your behalf with defined roles, scopes, and escalation paths.
What is the progressive autonomy model?
Progressive autonomy means agents start at Tier 1 (human reviews every action) and graduate to Tier 2 (auto-execute with notification) only after demonstrating 95% agreement with human decisions over 200+ samples. Critical actions like contracts, pricing, and proposals remain permanently human-governed.
Can agentic AI run completely on-premise without cloud?
Yes. BiltIQ AI deploys the complete agentic AI stack — GPU hardware, LLM inference (vLLM), vector database (Qdrant), MCP integrations, and RAG pipelines — entirely on your infrastructure. Zero cloud dependency. Air-gapped deployments available for classified environments.
Deep dive: why agents need budgets and scope isolation · one agent can't do it: why orchestration matters · why RAG beats fine-tuning for business knowledge.
Architect Your Agent Fleet
30-minute consultation. We'll map your workflows, identify where agents create measurable value, and design a progressive autonomy roadmap with timelines and costs.
Your Data. Your Premises. Your AI.