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抽象藍色漸變

We Build Agentic AI With Organizations

Agentic workflows in real organizations involve complex processes, spanning teams, systems, sensitive data, and human decision points. Headquarter.ai works closely with your team through Workflow Mapping, Co-Build, Deploy, and Evolve, ensuring agents operate effectively within mission-critical workflows while your organization retains full control of operations and governance.

What We Help You Do

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PHASE 1

MAP

Capture real SOPs and logic to blueprint a architecture for human–AI–system collaboration, built to evolve into an agentic organization.

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PHASE 2

CO-BUILD

Start from a proven agent template. Customize with real logic, data, and exceptions, directly with the teams who run the work.

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PHASE 3

DEPOLY

Depolyed inside your cloud and Integrated with your systems, with access to state-of-the-art models

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Consulting

PHASE 4

EVOLVE

Strategic output selection form golden sets to fine-tune prompts and LLM parameters, sharpening your system safely and continuously.

漸變背景

Custom Knowledge Base

Designed around your tasks, decisions, and governance logic, enabling RAG that supports reasoning, not just similarity search.

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Task-First Hybrid Retrieval

We start by defining what decision the task needs to make, not by choosing a search technique.

  • Combine keyword, semantic search, and structured filters per task

  • Dedicated retrieval pipelines per workflow

  • Reduce “similar but irrelevant” results

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Authority, Policy, Governance

Not all knowledge carries the same weight or applies to the same roles.

  • Define authority, hierarchy, and credibility

  • Separate policy, principle, and practice

  • Reflect real decision responsibility

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Reasoning-based Retrieval

Knowledge is not just retrieved—it is compared, cited, and traced to support reasoning.

  • Retrieval follows decision logic

  • Support cross-source reasoning

  • Align outputs with organizational judgment

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Security, RBAC, Guardrails

​For Agentic Workflows to operate reliably over time, control and auditability are essential.

  • Data classification and de-identification

  • Role-based access control (RBAC)

  • Guardrails for safe input and output

Governance & Control Framework

Empowering organizations with full AI governance: data sovereignty, process control, and audit-ready compliance.

Deployment & Data Sovereignty

  • BYOA Deployment: Run the platform and all data entirely within your own AWS account.

  • Data Classification & Flow Control: Define data access and routing policies based on organizational requirements.

Access Control & Knowledge Governance

  • Identity & Authorization Services: Support AAA （Authentication / Authorization / Accounting） frameworks

  • Role-Based Access Control: Enable role-based permission modeling and access control

Security Architecture & Cost Governance

  • Optimized AWS Security Integration: KMS, IAM, VPC, WAF, CloudTrail.

  • Encryption & Key Management: End-to-end data protection and sensitive information governance.

Evaluation Framework & Evolution

  • Measurable Evaluation: Monitor accuracy, completeness, and cost across workflows.

  • Ongoing Optimization: Improve reliability through instruction and workflow refinement.

  • Expert Logic at Scale: Turn expert judgment into verifiable rules for continuous learning.

Identify the best workflow to begin your AI transformation

Turn everyday processes into deployable Agentic Workflows from assessment to implementation.

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