Advanced Chat
Use Advanced Chat when your workflows are too dynamic or nuanced to predefine entirely — but too important to leave to stateless bots.
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Use Advanced Chat when your workflows are too dynamic or nuanced to predefine entirely — but too important to leave to stateless bots.
Last updated
Was this helpful?
GLIK’s Advanced Chat provides a structured, memory-aware conversational interface designed for multi-turn interactions. Unlike traditional chatbot implementations, which rely on single-turn prompt/response logic, Advanced Chat is built for scenarios where decisions, state, and role-based context must persist across multiple inputs and steps.
Advanced Chat steps in where Chatbot ends. It retains memory across turns, manages branching logic conversationally, and allows agents to evolve the dialogue as conditions or variables change. This enables use cases like internal compliance advisory, step-by-step HR onboarding, or triaging enterprise issues across departments.
Policy advisory situations with nuanced judgment
Triage flows where user narratives shape decision logic
Situations where flexible conversational routing is faster than visual branching
Advanced Chat gives users the natural interface of conversation, but underpinned by powerful agent orchestration logic — meaning agents can store variables, invoke fallback logic, run subroutines, or escalate to workflows when thresholds or exceptions are hit.
Chatbot
Simple Q&A bots, single-turn logic
❌
❌
Advanced Chat
Multi-turn advisory, context-aware guidance
✅
✅
Workflow
Structured automations, backend system orchestration
✅
✅ (visual)
GLIK’s Advanced Chat mode allows enterprises to wrap conversational intelligence around aging systems. Whether it’s an outdated HR platform, a compliance portal with buried logic, or a PDF-based SOP flow, Advanced Chat turns those static tools into interactive agents — reducing cognitive load and accelerating user task completion.
Use Advanced Chat when your workflows are too dynamic or nuanced to predefine entirely — but too important to leave to stateless bots.
are ideal for surface-level queries — such as FAQs, policy lookups, or verification tasks — where user input is predictable, and no decision memory is needed. However, once a conversation requires follow-up steps, user-specific state, policy routing, or cross-referencing internal data, Chatbots break down.
are ideal for structured automation with visual logic flows — where decisions are predefined and users follow form-based or UI-driven steps. However, some enterprise interactions cannot be adequately reduced to buttons and branching trees. These include:
In fact, Advanced Chat includes orchestration — it can invoke , use memory variables, and even trigger workflows under the hood. But it presents this orchestration as a conversational experience, ideal for roles like advisors, analysts, or end users who prefer dialog over dashboards.
