Solution family

AI & Automation

Coordinate agents, automate repeatable workflows and keep people in control.

What this solves

  • AI answers drift from the truth when they are not connected to your real data.
  • Customer conversations are split across many messaging channels.
  • Skilled staff spend hours on repetitive coordination in sales, support and admin.
  • Automated actions are hard to trace, and nobody is clearly accountable for approving them.

Capabilities

What this family covers in practice.

Governed tool access

AI Agents use clearly defined tools to read and update your business systems, nothing more.

Messaging automation

One workflow across Zalo, Microsoft Teams and web chat, with messages encrypted in transit.

Verified message intake

Incoming requests are checked for authenticity, then processed in order through a queue.

Human approval checkpoints

Irreversible financial, legal and operational actions need explicit sign-off from a named person.

Audit logs

Every request, tool action, handover and decision is recorded so it can be reviewed later.

Answers from approved sources

AI Agents answer from your approved knowledge base and show where each answer came from.

Example workflows

Example workflows we configure first.

Customer messages in one place

  1. Messages from Zalo, Microsoft Teams or your website arrive in one queue.
  2. Each request is checked for authenticity before anything is processed.
  3. An AI Agent identifies the request and checks what the customer is allowed to do.
  4. The reply goes back in the same channel, and the full conversation is saved.

Business workflow with approval

  1. A trigger, such as a new order or request, starts the workflow.
  2. AI Agents gather data from your systems and prepare a recommendation.
  3. High-impact recommendations go to a responsible person for approval.
  4. Approved actions are carried out and recorded in the audit log.

Internal knowledge and service desk

  1. Staff ask policy and process questions inside the tools they already use.
  2. The AI Agent answers from approved documents and cites the source.
  3. Unclear or sensitive questions go to a human lead with full context.
  4. Answers confirmed by people are added back to the knowledge base.

Integration & governance

  • Each AI Agent can only use the tools and data defined for its role.
  • Messages are encrypted in transit between your channels and systems.
  • Role-based access applies the same least-privilege rules to people and AI Agents.
  • Personal data is handled in line with data protection law and your retention policy.

Related resources

Frequently asked questions

Can AI Agents make up answers?
Connecting agents to your live data and approved documents reduces made-up answers, but does not remove them entirely. That is why sensitive answers and actions are reviewed by people.
Can it work with Zalo and Microsoft Teams at the same time?
Yes. Conversations from Zalo Official Accounts, Microsoft Teams and web chat can run through one workflow.
How is customer data protected when it moves between systems?
Requests are verified before processing, data is encrypted in transit, access follows least privilege, and retention follows your policy.
Who approves what the AI does?
You decide which actions need approval. Those actions pause until a named person signs off, and the decision is logged.