Managed AI Agents for Your Business
AI agents. A human team behind them.
HiredVietnam’s managed AI agent service helps businesses set up and operate AI workflows for recurring sales, marketing and administration tasks. Each workflow has a defined scope, system permissions and a route to human review.
What work could an agent help with?
Start with one recurring task in one department. Each workflow is scoped, tested and supervised by our team, and the steps that need a person stay with a person.
Sales & CRM
Keep enquiries and records moving.
Possible tasks:
- Sorting new enquiries against your categories.
- Researching companies against criteria you agree.
- Preparing CRM updates for review.
- Drafting follow-up emails for your team to check and send.
Marketing Operations
Turn approved briefs into work ready for review.
Possible tasks:
- Drafting content from an approved brief.
- Preparing campaign tasks and checklists.
- Summarising reporting data for your team.
- Checking drafts against your brand notes.
Administration & Documents
Get documents checked and routed.
Possible tasks:
- Logging incoming documents.
- Extracting agreed fields into a tracker.
- Checking documents for missing information.
- Routing each item to the right person.
What happens inside the workflow?
Example: a website enquiry, using sample information.
| Step | In this sample |
|---|---|
| Trigger | A new enquiry arrives through the website form |
| Inputs | The enquiry text, your enquiry categories and the matching CRM record, if one exists |
| Actions | The agent sorts the enquiry, notes missing details and drafts a CRM update and a reply |
| Output | A draft record update and a draft reply, placed in a review queue |
| Human approval | Your sales lead checks both drafts, then approves, edits or rejects them |
Nothing reaches the customer or the CRM until a person approves it.
Sample workflow with invented information. Actual triggers, systems, permissions and approval points are agreed during scoping.
What the agent handles. What people approve.
The agent carries out the defined steps of one workflow. It reads the agreed inputs, follows your instructions and prepares the agreed output.
It works only within the system permissions recorded for that workflow. A new action, system or data source is agreed and tested before the agent uses it.
Our team sets up and monitors the workflow, reviews outputs where the scope says so and handles the exceptions the agent cannot resolve.
Your team keeps the business decisions. Messages to customers, published content, commercial commitments, sensitive record changes and anything involving payments need a person’s approval.
When information is missing or a result fails an agreed check, the item goes to a named person. The agent is instructed to flag missing or unclear details rather than fill them in, and the review step is there to catch what it misses.
Choose your support setup.
Each setup is a way of organising the same managed service. The proposal sets out the scope, support hours, review allowance, maintenance and changes for the setup you choose.
Department Assistant
One focused workflow.
An agent supports your existing team with one defined task, such as sorting enquiries or checking documents.
Department Agent Suite
Several connected workflows in one department.
Agents handle related steps, for example sorting an enquiry, preparing the CRM update and drafting the follow-up for review.
Managed Department Support
Agents with people around them.
Our team reviews outputs, handles exceptions and coordinates delivery alongside the agents, within the agreed scope.
From workflow to working service.
Each workflow follows the same path before it handles live work.
Assess.
Review current workflow, volume, pain points, source information and desired results.
Design.
Define steps, integrations, permissions, approvals and escalation rules.
Test.
Evaluate typical cases, missing information, incorrect inputs and integration failures.
Pilot.
Start with limited scope and human review against agreed acceptance criteria.
Manage.
Monitor output quality, usage and failures; resolve issues and make scoped improvements.
Your systems and information.
Agents work with the tools you already use where those tools allow it. We confirm each connection before building it, rather than assuming every system can be connected.
Before work starts, we agree:
Which systems the agent reads from and writes to.
The source information it relies on, and who keeps it current.
The access each workflow needs, granted through accounts your business controls.
Who owns the accounts, instructions and workflow records.
If a source is out of date or incomplete, we agree how it will be prepared before the agent relies on it.
How we check delivery.
Before a pilot starts, we agree the measures that show whether the workflow is doing its job.
| Measure | What it shows |
|---|---|
| Output quality | How often outputs pass review without changes |
| Turnaround | How long items take from trigger to approved output |
| Exceptions | How many items need a person, and why |
| Review effort | How much checking your team still does |
| Usage | Workflow volume against the agreed scope |
We report against the measures agreed for your workflow. We do not promise savings or accuracy figures in advance.
Questions about managed AI agents.
What is a managed AI agent?
An AI agent is software that carries out defined steps in a workflow, such as reading an enquiry and preparing a draft reply. A managed agent comes with a team behind it: we set it up, monitor it, review outputs where agreed and handle exceptions.
How does an AI agent differ from a chatbot or a rule-based workflow?
A chatbot answers questions in a conversation. A rule-based workflow follows fixed rules, such as moving a form submission into a spreadsheet. An agent can work with less structured information, like the text of an email, and prepare an output for review. Some tasks are better served by simple rules, and we will say so.
Can an agent connect to our existing systems?
Often, but it needs checking. Available connections, permissions and account settings decide what is possible. We confirm the approach for your systems before the scope is agreed.
What does ongoing management include?
Monitoring the workflow, reviewing outputs where the scope says so, handling exceptions, fixing issues and making scoped improvements. Support hours, review allowance, maintenance and changes are defined in the proposal.
What affects the cost of a managed AI agent service?
The scope of the workflow, the systems it connects to, the volume of work and the amount of human review you need. We discuss these with you and set them out in the proposal. We do not publish packages.
Can we start with one workflow?
Yes. One defined workflow is the usual starting point. Once it is working against the agreed measures, you can decide whether to add more.
Related resources
Discuss Your Workflow.
Tell us which recurring task you have in mind, the systems involved and who approves the work today. We will help you decide whether an agent fits and what a first scope could look like.
