ModelRefs / Agentic Stack

Agentic Stack

Multi-step planning agents with tool use, approval gates and audit trails.

Overview

The agentic stack adds a planner + tool-execution loop on top of an LLM. Workflows in this stack execute multi-system business processes end-to-end with human-in-the-loop checkpoints, retry policies and observability. Use this stack when the task spans systems, requires reasoning over intermediate results, or needs to be auditable.

Workflows in this stack

  • Agentic Systems — Agentic systems give an LLM the ability to plan, call tools, and execute multi-step tasks autonomously.
  • Autonomous Workflow Automation — Autonomous workflow automation chains agents, tool calls and human-approval gates to execute multi-system business processes end-to-end.
  • AI SDR — An autonomous SDR agent qualifies, books and follows up with prospects end-to-end across email, LinkedIn and calendar, with human-approval gates for high-risk actions.
  • Escalation Workflows — Detect at-risk conversations and escalate with a structured handoff packet for the right specialist.
  • Agent Assist — Agent assist surfaces real-time support to human agents during live customer conversations.
  • Incident Response — On-call copilot that summarises alerts, retrieves runbooks and drafts post-mortems with timeline reconstruction.
  • Approval Chains — Orchestrate multi-step approval flows with policy-aware agents and full audit trails.
  • Agentic RAG — Agentic RAG upgrades a standard single-shot retrieval pipeline with a planning agent that can reformulate queries, switch retrieval strategies, validate the retrieved evidence against the question and iterate until the answer meets a confidence threshold.
  • MCP Workflow — Expose enterprise systems to LLMs via the Model Context Protocol with auth, scope control and audit logs.
  • Voice Support Agent — A voice support agent handles inbound tier-1 calls with speech-to-text transcription, real-time intent detection, and a RAG layer that retrieves policy and product information to ground responses.
  • Multi-Agent Orchestration — Plan, route and supervise multi-agent workflows with typed message contracts and budget circuit-breakers.

Continue your research

Use these connected ModelRefs sections to compare alternatives, inspect implementation paths, and review the evidence and governance boundaries relevant to Agentic Stack.