Workflow

GLIK Workflows turn static rules into real-time automation, enabling legacy systems to operate with AI-like responsiveness — without modification.

The Workflow App Type is GLIK’s most structured execution model, designed for automating rule-based processes using a visual block-based interface. It excels in scenarios where inputs, logic branches, and system behavior can be clearly defined up front. This makes it ideal for implementing repeatable, auditable, and governed enterprise operations — especially where compliance, routing, or integration requirements are complex but predictable.

What “Workflow” Means

The word “workflow” is used in three different contexts within GLIK:

1. Workflow (App Type) — A specific GLIK execution model designed for automating logic using a block-based interface. It’s one of the four foundational app types alongside Chatbot, Agent, and Advanced Chat.

2. Workflow (Architecture) — A broader concept referring to the high-level orchestration of tasks, inputs, tools, and decisions across GLIK apps. This includes how agents interact, how memory is passed, and how execution flows are triggered across systems.

3. Workflow (Editor View) — The visual interface where you arrange blocks and nodes (like Variable Assigners, Tool Nodes, LLM Blocks, etc.) to construct executable logic paths. This is where low-code users build and configure the logic of any GLIK app, even outside the Workflow App Type.

In short: the Workflow App Type is one way to execute workflows — but “workflow” as a term also describes how logic flows and systems connect across all App Types.

What sets Workflow apart?

While Chatbots and Advanced Chat are interaction-first models optimized for human-facing interfaces, Workflow is system-first. It doesn't rely on conversation — instead, it executes decisions, data transformations, or system calls based on preconfigured logic flows. Think of it as a logic circuit for enterprise tasks, where each block is a switch, each variable a wire, and each output a controlled signal.

Enterprises use GLIK Workflows to:

• Automate multi-step approvals

• Execute decision trees based on policy thresholds

• Trigger system integrations or API calls

• Coordinate cross-system actions like ticket generation or database updates

This App Type is often embedded as the core logic engine beneath other experiences — such as agents or conversational frontends — making it the backbone of scalable orchestration in enterprise environments.

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How users move from conceptual understanding to practical application of the Workflow App Type. It helps teams recognize when system-driven logic is more efficient than conversational AI, leading to faster deployment of rule-based automations.

Why not just use Advanced Chat?

Advanced Chat is ideal when workflows must adapt to user responses, unknown inputs, or free-form conversations — but when the flow of logic is predictable, predefined, and not reliant on long-form input, Workflow is more efficient and easier to maintain. It provides:

• Full visibility over logic and branching

• Clear audit trails for compliance and governance

• Reusable logic blocks across multiple apps or templates

In short: Use Advanced Chat when user input drives logic; use Workflow when logic drives execution.

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When to choose Workflow

App Type	Best When…	Input Type	UI Model
Chatbot	You need static responses to simple prompts	Stateless messages	Simple Q&A
Advanced Chat	Conversations shape logic, memory required	Multi-turn dialogue	Dynamic chat
Workflow	Execution follows clear, visual logic paths	Form, variable, system	No chat; system-executed

Enterprise Value

GLIK’s Workflow App Type is the fastest way for enterprises to digitize and automate legacy processes without requiring new software or retraining end users. Whether triggered by a form submission, agent escalation, or system event, workflows handle the invisible heavy lifting — evaluating inputs, applying rules, and orchestrating downstream actions.

GLIK Workflows turn static rules into real-time automation, enabling legacy systems to operate with AI-like responsiveness — without modification.