AI Agents & Workflow Automation
Production multi-agent systems, GraphRAG knowledge engines & durable business automation.
Overview
We build production AI systems that actually survive enterprise reality—not brittle prompt wrappers. From intelligent support and CRM triage agents to private knowledge retrieval (RAG / GraphRAG) and invoice or compliance automation, every Tenzed AI deployment includes strict permission boundaries, automated evals, cost controls, and human approval checkpoints.
What We Build
- Autonomous Support, Lead Qualification & Operations Agents
- Private Enterprise RAG & Hybrid Semantic Knowledge Search
- Model Context Protocol (MCP) & Custom Tool Connectors
- Guardrails, PII Redaction, Eval Suites & Observability Tracing
- Human-in-the-Loop Escalation via Slack, Teams, or WhatsApp
Concrete Deliverables & Handover
- Workflow Audit & Quantified Automation ROI Model
- Evaluated Agent Pipeline with Guardrails & Audit Logs
- Live CRM / ERP / Ticket / Webhook Integrations
- Latency, Accuracy & Token Cost Monitoring Dashboard
Ideal For Teams Who Need To
- Operations & support teams handling high-volume repetitive triage
- Knowledge-heavy enterprises needing instant cited answers across internal docs
- Product companies embedding copilot or agentic workflows for customers
Common Buyer Questions
How do you prevent AI hallucinations or unsafe actions in production?
Every agent runs behind deterministic schema validation, role-scoped tool permissions, citation grounding, and human-in-the-loop approval thresholds for high-impact mutations.
Can we run models privately so our company data is never used for training?
Yes. We deploy against zero-retention enterprise endpoints (AWS Bedrock, Azure OpenAI, Vertex AI) or self-hosted open-weight SLMs inside your private VPC.