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Structural Chat

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Structural Chat helps organizations deliver reliable, task-focused customer support through conversational interfaces and deterministic workflows.

Overview

Structural Chat helps organizations improve customer support with conversational experiences that let users complete tasks directly and reliably. Its approach combines deterministic code, natural-language input, rich interface controls, and human support when needed, prioritizing speed, security, and trustworthy outcomes.

Mission statement

Help users accomplish their goals through fast, reliable, and trustworthy support experiences, escalating to human assistance when needed.

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What we offer

LLM-free support bots

Lets customers complete supported tasks quickly and reliably in conversation, with instant suggestions, secure data handling, and human help for requests the bot cannot handle.

No pricing is published in the provided sources; the vendor offers custom support bots and invites users to schedule a demo.

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Who do we serve

Software Application Providers

Software providers seeking reliable in-product task completion and lower support friction for users across global markets.

Geography: North America, Europe, and other digitally mature markets

How we help: Deterministic conversational workflows let users complete supported tasks within an application, while contextual interactions and human escalation help keep support reliable.

Travel And Hospitality Businesses

Travel and hospitality businesses enabling customers to manage reservations and service requests through dependable digital interactions.

Geography: North America, Europe, and international travel markets

How we help: Context-aware conversational workflows help customers complete supported reservation and service tasks directly, with human assistance available for exceptions and extended processes.

Financial Services Institutions

Financial services institutions seeking controlled digital support workflows that protect customer data and execute defined tasks reliably.

Geography: North America, Europe, and other regulated financial markets

How we help: Code-defined conversational workflows provide controlled task execution without third-party LLM data sharing, while routing unsupported requests to human staff.

Healthcare Providers

Healthcare providers seeking privacy-conscious digital support for defined administrative tasks and workflows involving staff or patients.

Geography: North America and other markets with strong healthcare privacy requirements

How we help: Privacy-conscious, code-defined conversations guide users through supported administrative tasks and preserve human involvement when a workflow needs review or additional input.

Market segments

Market size by segment

Growth potential (CAGR)

Conversational AI for customer service automation

17.3 Billion USD20% CAGR

AI-driven virtual assistants, chatbots and automation that handle routine interactions, deflect volume and enable seamless human handoffs.

Products: LLM-free support bots

Customer self-service

6 Billion USD14% CAGR

Embedded conversational interfaces that enable customers to complete supported tasks directly using natural-language input and contextual interface controls, reducing reliance on support agents.

Products: LLM-free support bots

Workflow automation

28 Billion USD13% CAGR

Capabilities to model, automate, and orchestrate business processes and approvals, including workflow rules, automated assignments, integrations, and real-time status tracking.

Products: LLM-free support bots

More information about our offering

LLM-free support bots

Structural Chat builds custom support bots that let users complete supported tasks directly in a conversational interface. Natural-language requests are matched to structured commands with real-time autocomplete, then deterministic code runs the workflow using relevant interface controls. Bots can escalate requests they cannot handle to human support, passing along context and resuming workflows when appropriate. They can be customized to a business’s branding and actions, and can run on-premise without sending customer data to third-party LLM providers.

No pricing is published in the provided sources; the vendor offers custom support bots and invites users to schedule a demo.

  • Complete Supported Tasks Reliably
    Customers can use the bot for supported tasks with predictable outcomes, rather than relying on potentially incorrect answers or actions.
  • Avoid LLM Prompts And Injection Risks
    By not relying on LLM prompts for supported workflows, the bots avoid prompt-tuning and the prompt-injection risk associated with those prompts.
  • Guide Requests With Instant Suggestions
    Users see relevant command suggestions as they type, helping them discover available actions and convey their intent without waiting for a response after submitting a full sentence.
  • Complete Tasks Directly In Chat
    Users can carry out supported tasks in the conversation using controls suited to the workflow, instead of being sent elsewhere to complete the task themselves.
  • Escalate Unhandled Requests To Humans
    Unusual or complex requests can reach support staff rather than receiving a fabricated answer. Context can be passed to the agent, and the automated workflow can continue when the human step is complete.
  • Keep Customer Data On-Premise
    On-premise deployment allows the bot to run without shipping customer data to Structural Chat or an external provider. The bots also avoid sending data to third-party LLM providers.
  • Match Your Brand And Business Actions
    A custom bot can reflect the business’s branding and provide the actions its customers need, with the scope tailored to the business.
  • Coordinate Long-Running Business Flows
    The bot can support workflows that require multiple participants or steps over time, including pauses for approvals before the process resumes.
  • Resume Paused Workflows
    Flows can pause while waiting for input and resume when a response is provided, supporting interactions that extend over time.
  • Use Relevant Application Context
    The bot can use the context supplied by where it appears in an application or website to tailor the interaction, such as starting with the relevant reservation already selected.

Sources

Methodology and sourcing behind the figures and links shown above.

Conversational AI for customer service automation

The search results report the global conversational AI market at USD 17.3 billion in 2025, with a projected 20% CAGR for 2026–2035. This broader market includes customer-service automation and other applications, so it is a proxy rather than an exact estimate for the narrower segment.

Customer self-service

No source provides a direct market-size estimate for embedded conversational customer self-service. The estimate of USD 6 billion is an approximate subset of the broader customer-service market, which is reported at USD 47.40 billion in 2025. The 14% CAGR reflects the segment’s software and automation focus, informed by the broader customer-service market’s 10.6% CAGR and a self-service systems forecast of 14.2%.

Workflow automation

Estimated 2026 global workflow automation market size at USD 28 billion, the midpoint of Mordor Intelligence’s USD 26.01 billion and Coherent Market Insights’ USD 29.95 billion estimates. Estimated growth potential at 13% CAGR, the midpoint of their respective 9.41% and 16.6% forecasts. Differences likely reflect varying scope and methodology.

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