Quickchat
Quickchat AI provides AI Agents for customer support and sales that read your documentation, take actions, and operate across websites, helpdesks, and messaging apps, emphasizing grounded answers, traceability, and result-based pricing.
Quickchat is ai agents software teams evaluate for business operations. Use this page to review pricing, integration signals, and the best alternatives before you commit.
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Quick Overview
Best for: Business Operations
What it does
AI Agents software for decision-makers comparing workflow fit and alternatives.
Best fit
Business Operations
Pricing snapshot
Freemium from USD $0.50 per resolution (cited on page)
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Quickchat
Quickchat AI is an AI-first platform for building and deploying AI Agents focused on customer support and sales. Agents can ingest your documentation (knowledge base), execute actions via APIs/MCP, and serve customers across chat widgets, dedicated chat pages, messaging apps, and integrated helpdesks. The platform emphasizes grounded answers (proprietary RAG and reranking), full traceability, enterprise-grade privacy and compliance (GDPR, PII scrubbing), and transparent, result-oriented pricing.
Quickchat positions itself as a cost-effective alternative to competitors (Agentforce, Fin, Sierra) by combining higher resolution rates and lower cost per resolution. It supports enterprise requirements such as no LLM training on customer data, full data control, and comprehensive auditing capabilities, and is available through channels including Google Cloud Marketplace.
Quickchat AI provides AI Agents for customer support and sales that read your documentation, take actions, and operate across websites, helpdesks, and messaging apps, emphasizing grounded answers, traceability, and result-based pricing.
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Grounded Answers (Proprietary RAG & Reranking)
Retrieval-augmented generation (RAG) and reranking systems to ensure responses are grounded in your source documents and facts, improving accuracy and resolution rates.
Pay-per-Result Pricing
Cost model oriented around cost per resolution (cited at $0.50 per resolution), with no upfront costs and scalable, predictable billing.
Multi-channel Deployment
Deploy agents to chat widgets, chat pages, messaging apps, helpdesks, and internal tools to meet customers where they are.
Actions & Integrations (API & MCP)
Support for custom actions via API/MCP enabling the agent to take actions on behalf of users and integrate with existing workflows and systems.
Enterprise-grade Privacy & Compliance
Privacy-by-default design, GDPR compliance, active PII scrubbing, and explicit policies preventing LLM training on customer data.
Human Handoff & Escalation
Support inbox, human handoff, and configurable escalation rules for hybrid human+AI workflows.
Analytics & Explainability
Features such as 'Why AI Said That', sentiment analysis, resolution tracking, topic detection, and insights about content gaps.
Multilingual Support
Capability to handle conversations in multiple languages to support global customer bases.
Pricing
Start for free — Quickchat advertises a 'Start for free' option though specific limits and trial details are not listed on the page.
Pay-per-Resolution
USD $0.50 per resolution (cited on page)- Pay only for results (per-resolution pricing)
- No upfront costs
- Scalable usage-based billing
Enterprise
Contact sales- Enterprise SLAs, compliance, and deployment support
- Full data control and privacy features
- Custom integrations and onboarding
Use Cases
Automated Customer Support
Replace or augment human agents to answer common customer queries, resolve tickets, and increase first-contact resolution rates.
Conversational Sales Assistants
Use agents to qualify leads, answer product questions, and assist with conversions across chat channels.
Knowledge Base Self-Service
Let customers self-serve by querying an agent that is grounded in your documentation and knowledge base.
Enterprise-focused Deployments
Deploy within strict compliance, data-control, and auditing requirements for regulated environments.
Multilingual Customer Engagement
Support customers in multiple languages to improve availability across time zones and geographies.
Integrations
Helpdesk Platforms
Integrate agents with existing helpdesk software to augment or automate ticket handling and replies.
Messaging Apps
Deploy agents to third-party messaging channels to engage users on the platforms they use.
Web Chat (Widgets & Pages)
Embed chat widgets or dedicated chat pages on websites for direct customer interaction.
API & MCP
Custom actions and programmatic integrations via API and MCP to perform operations and tie into workflows.
Google Cloud Marketplace
Quickchat AI is available through Google Cloud Marketplace for streamlined procurement and deployment.
Benefits
Limitations
Frequently Asked Questions
What is Quickchat AI?
How much does Quickchat AI cost?
What channels does Quickchat AI deploy to?
Does Quickchat AI integrate with my helpdesk?
How long does Quickchat AI take to deploy?
What results do Quickchat AI customers see?
Getting Started
- 1 Start for free: create an account or begin a free trial (details on the site).
- 2 Describe your AI: define agent personality, custom prompts, and AI guidelines.
- 3 Add knowledge: upload or connect your documentation and knowledge base.
- 4 Customize actions: configure API/MCP actions and integrations for the agent to take actions.
- 5 Deploy: connect and deploy the agent to chat widgets, messaging apps, helpdesks, or internal tools.
- 6 Monitor & optimize: analyze conversations, track resolutions, and refine knowledge and prompts.
Support
General contact and support via [email protected].
Book a demo
Request a product demo through the website's 'Book a demo' flow for personalized onboarding and enterprise discussions.
Documentation
Product documentation and legal pages are linked from the site (actual documentation details not present in the provided content).
Status
Service status page is available (linked as 'Status' on the site) for incident and uptime information.
API
API and MCP actions are referenced on the page, but public API documentation and technical details were not provided in the supplied content.
Not available on the provided page content
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