Core Platform Built for Agentic AI
Headquarter.ai’s Agentic Workflow Platform is designed to enable true human–AI collaboration.
The Workflow Builder, powered by AWS’s highly reliable workflow engine, integrates with core systems and supports multi-agent orchestration, bringing AI into everyday operations with stability and control.
The Agent Hub provides proven, high-quality templates that accelerate deployment and adapt seamlessly to enterprise workflows.
The RAG Adapters apply task-specialized modules to process multi-source data and build dedicated knowledge bases, significantly improving retrieval accuracy and performance.
Built on this foundation, HQ.ai’s ProServe team supports organizations with process optimization, data preparation, and governance design — ensuring every module aligns with real operational needs and continues to evolve over time.
01 Agentic Workflow Builder
The Workflow Builder, powered by AWS’s high-availability orchestration engine, connects with core systems and enables multi-agent collaboration. ProServe supports this by defining workflow nodes and guiding organizations as they introduce AI into operational processes.
Drag-and-Drop No-Code Builder
Quickly assemble reasoning steps, retrieval strategies, tool calls, and file parsing workflows.
Multi-Agent Collaboration
Assign specialized agents for tasks such as legal retrieval, document comparison, ASR correction, or data classification.
Controllable Reasoning Flow
Every step is observable with clear inputs and outputs—making workflows debuggable, reliable, and resistant to hallucination.
Organizational governance support
We provide enterprise-level permission control and usage monitoring mechanisms to help you implement AI while meeting internal governance and security compliance requirements, ensuring transparency and controllability of AI.
02 Agent Hubs
Redesigning workflows from scratch can be time-consuming. The Agent Hub provides proven, high-quality templates that accelerate deployment and allow precise adjustments to existing processes, while ProServe helps align these workflows with enterprise SOPs for seamless human–AI collaboration.
Information Extraction
Extract key facts, identify structure, or detect semantic meaning from data.
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Video Review Agent: Transcript extraction, Taiwanese dialect & typo correction, regulation cross-checking for flagged segments.
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Resume Analysis Agent: Extract skills and experiences, match against job requirements.
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Business Opportunity Research Agent: Scan documents and data sources to uncover potential opportunities and relational insights.
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Tax Law Inquiry Assistant Agent: Capture the semantic core of tax-related queries and retrieve relevant legal articles.
Data Generation & Augmentation
Automatically generate summaries, classifications, or copy suggestions from raw data.
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Product Listing Assistant Agent: Generate product names, categories, and descriptions for e-commerce listings.
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Job Description Agent: Write complete job postings including responsibilities, requirements, and qualifications.
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Conversational Recommendation Chatbot Agent: Generate recommendations and summaries through multi-turn dialogue.
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Stock and Industry Information LFQA Agent: Produce long-form Q&A and report summaries, tailored for complex industry and stock research.
Data Validation & Routing
Audit risk, validate correctness, and determine workflow routing paths.
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Payment Service Application Review Agent: Automatically audit third-party payment applications for compliance and risk.
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Business Opportunity Review Agent: Evaluate opportunities for suitability, flag risks, and identify growth potential.
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Hybrid Search Agent: Combine keyword and vector searches, then filter and classify results.
Conversational Search & Recommendation
Support natural language interaction, contextual memory, and multi-turn queries.
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Conversational Recommendation Agent: Provide recommendations and summaries within multi-turn conversations, leveraging past context.
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Tax Law Inquiry Assistant Agent: Interactive regulation lookup with extended case explanations.
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Stock and Industry Information LFQA Agent: Long-form Q&A format with support for follow-up queries.
03 Specialized RAG Adapters
The RAG Adapter applies task-specific modules to process multi-source data and build dedicated knowledge bases, improving retrieval accuracy. With ProServe supporting data mapping and governance, each deployment aligns tightly with operational needs.
Supported and Expanding Industry Scenarios
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Tax Law
Transform citizen queries into formal tax language, extract applicable legal articles, and match counterexamples. Designed for local tax agencies handling complex cases. -
Supply Chain
Enable multilingual data processing and rule-based responses for product listing, categorization, and supplier record validation. -
Healthcare
Optimize queries around patient conditions, drug interactions, and health information. Combine structured data with unstructured text for comprehensive results. -
Media
Support transcript processing, video summarization, compliance audits, and personalized recommendations through conversational and content retrieval modules. -
HR Tech
Provide semantic extraction and matching for resume analysis, job matching, scoring models, and rule-based classifications.
04 Prompt Training Framework
A faster, more flexible alternative to fine-tuning. Through structured prompt engineering and few-shot learning, AI quickly adapts to your business context and language—becoming more accurate and aligned with organizational standards over time.
Prompt Tuning
Structured tools for designing and refining prompts
Workflow Evaluator
Automatically detects failure cases and adjusts prompts or tool strategies
Expert in the loop
Expert feedback is written back into the agent for continuous improvement
05 Enterprise-Grade Governance
Comprehensive, built-in governance features—including BYOA deployment and RBAC—ensure full data ownership and compliance with corporate security standards.
Deployment & Data Sovereignty
Model Privacy Guarantee: Ensures your proprietary data never enters model training, aligned with Amazon Bedrock’s privacy protections.
Access Control & Knowledge Governance
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Built-in AAA: Native authentication, authorization, and audit logging.
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Built-in role-based access control to ensure RAG queries only use authorized data.
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Traceable Reasoning: Full activity and inference logs for transparency and accountability.
Security Architecture & Cost Governance
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AWS Security Integration: KMS, IAM, VPC, WAF, CloudTrail.
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Token & Model Governance: Built-in token monitoring and model cost management.
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Smart Rate Limiting: Automated throttling and usage monitoring to control cost and system load.