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6. Use Cases

Dokugent can be used anywhere AI agents require guardrails, auditability, or pre-deployment validation. It is particularly effective in the following contexts:

🛡️ Security-Sensitive Agent Workflows

Examples:

  • Customer service agents handling PII
  • Legal research bots analyzing confidential contracts
  • Healthcare agents assisting with patient data

Why Dokugent:

  • Scope declarations ensure sensitive fields are explicitly allowed or denied.
  • certify command signs and locks plan behavior.
  • trace retrieves and renders certified agent for audit and review.

🧑‍💻 DevOps & CI/CD Pipelines for Agents

Examples:

  • Bots that deploy infrastructure based on prompts
  • AI scripts run as cron jobs or via GitHub Actions
  • Code reviewers or formatters using LLMs

Why Dokugent:

  • Treats agents like any other build artifact—versioned, validated, certified.
  • Integrates with CI to fail builds when plans are incomplete or deviant.
  • dryrun runs each step against mock inputs to verify reproducibility without making real changes.

🧠 Knowledge & Workflow Agents in Enterprise

Examples:

  • Internal Q&A bots across company docs
  • SOP-following agents for onboarding
  • Workflow assistants managing tasks, calendars, or emails

Why Dokugent:

  • Keeps LLMs scoped to trusted sources and fields
  • Prevents leakage of unrelated documents into output
  • Enables safe delegation of internal processes

💬 Multi-agent Systems and Role-based Protocols

Examples:

  • Simulated task forces with roles like Planner, Verifier, Executor
  • Customer support routing agents coordinating across tiers
  • AI guilds or councils handling collective input

Why Dokugent:

  • Each agent has a defined plan, role, and scope
  • plan trace tracks delegation between agents
  • Supports layered trust and contextual handoff

💸 AI SaaS with Customer-facing Agents

Examples:

  • AI writing assistants embedded in apps
  • Analytics agents generating reports from user data
  • Marketing bots customizing outbound campaigns

Why Dokugent:

  • Proves that customer data boundaries are respected
  • Builds trust with enterprise clients and regulators
  • Reduces QA and debugging overhead at scale

For more detailed explanations of each use case, visit: dokugent.com/use-cases