AI Agents
We build agents guided by your information, processes, and rules to support service, research, analysis, and defined tasks.
Where they can help
Documents, rules, and history are spread across places, so answers depend on knowing where to look.
The team answers them repeatedly, and the answer changes from person to person.
Summarizing conversations and passing on context takes time from the people responding.
Someone must read every request to decide where it should go.
Staff need quick guidance, but the manual or the right person is not always available.
Answers may sound plausible but do not reflect your products, rules, or way of working.
Agents and automation
They complement each other. The right choice depends on what a task requires.
Automation
Follows clear rules: when something happens, a sequence of steps runs the same way each time.
AI agent
Consults approved sources, understands a request, and supports a response, analysis, or action within an agreed scope.
Working together, the agent interprets the situation and automation carries out an authorized step.
How it works
Defined information, rules, and goals inform the agent. It can return answers, analyses, and authorized actions, with human oversight where it matters.
Approved sources
AI agent
Defined context and goals
What it can provide
Response
Guidance based on approved sources
Analysis
Information organized, summarized, and compared
Human oversight for sensitive decisions
Authorized action
Use of permitted tools and automation
Possibilities
These are examples. The right application depends on each company's routine and available information.
Find and summarize information in manuals, contracts, and knowledge bases.
Support customer service with answers grounded in company information.
Turn long interactions into useful summaries for handoff.
Identify the type of request and direct it to the right team or person.
Prepare reply suggestions for a person to review and send.
Structure data from text, messages, and documents.
Read documents, flag points for attention, and compare them with rules.
Prepare customer context, suggest next steps, and record interactions.
Answer how-to questions using the company's own processes.
Carry out permitted steps in other systems within defined limits.
Control and limits
Each agent is designed to know what it can access, what it can do, and when to involve a person.
The agent only accesses information approved for its role.
Topics, tasks, and limits are agreed before use.
Test with realistic situations before rollout and afterward.
A person reviews sensitive decisions before they proceed.
Interactions and actions are recorded for review and continuous improvement.
Results depend on the source material; current, organized information matters.
How the work happens
Step 1
Identify the task, its users, available information, and where an agent can truly help.
Step 2
Define what the agent may consult and do, and when it should involve a person.
Step 3
Prepare the context, instructions, and connections needed for the application.
Step 4
The team tests realistic situations and adjustments are made before use.
Step 5
The agent starts supporting the team, with close follow-up at first.
Step 6
Review records and results to improve responses and expand the scope.
Who it serves
It is an AI system prepared with context, rules, information sources, and defined goals to support specific tasks, such as answering questions, summarizing conversations, or reviewing documents.
Not necessarily. A chatbot typically follows predefined conversation flows. An agent can work with broader context, consult sources, and use tools within an agreed scope.
No. It supports people with defined tasks, with human oversight for sensitive decisions.
Only approved sources defined for the project, such as documents, rules, and history. Answer quality depends on how accurate and current that information is.
Scope, permissions, and human review points are set before use. Interactions are recorded for follow-up.
Yes. Starting with one specific task, validating it, and then expanding is often the safer path.
Both depend on the application, sources, and integrations. Vendaz does not publish prices on the site; the timeline and proposal follow the assessment.
Tell us what the team does today and which information it uses. We will assess an agent application and prepare a proposal.
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