Find company information
Answer questions using approved policies, product details, manuals, contracts and other company knowledge.
Build AI agents that use approved company information, connect to your business systems and complete specific tasks with clear limits and human review.
A chatbot usually answers questions. An AI agent can also use approved tools, follow several steps and prepare or complete part of a business task.
That does not mean the agent should control everything. We give it one clear job, limited access and rules for when a person must review the work. This makes the agent easier to test, use and manage.
The exact abilities depend on the agent’s job, the systems it can access and the actions your company approves.
Answer questions using approved policies, product details, manuals, contracts and other company knowledge.
Look up or update approved information in ERP, CRM, service, finance and other business tools.
Follow a clear process, gather information, prepare an output and ask for approval before important actions.
Make agents available through an internal portal, website, WhatsApp or another approved channel.
A useful agent solves a defined problem for a known group of users. It should not be built only because the technology is new.
Help employees find answers across policies, procedures, product information and company documents.
Find customer information, prepare draft proposals, suggest follow-ups and update approved CRM fields.
Check contracts, service history and schedules, then help teams prepare the next action.
Read documents, extract required information, check for missing items and send uncertain cases to a person.
Collect approved business information and prepare regular summaries, reports and exception alerts.
Answer common questions using approved information and transfer sensitive or unusual requests to staff.
Every stage has a clear result, so the agent remains connected to the business need.
Step 01
We define the users, task, expected result and decisions that must stay with a person.
Result: Clear agent purpose
Step 02
We identify what information and systems the agent may use and what must remain restricted.
Result: Approved knowledge and access plan
Step 03
We map what the agent can do, when it must ask for approval and how it handles uncertainty.
Result: Agent workflow and safety rules
Step 04
We create the agent, connect approved tools and build a simple way for people to use it.
Result: Working agent
Step 05
We test real, incorrect and unusual requests before a careful release to users.
Result: Tested agent with clear ownership
We design permissions, approvals and backup steps around the real risk of the task.
The agent uses only the knowledge and data sources agreed for its job.
Users and agents can only see or change information their role allows.
Important messages, decisions or system changes can require review before they happen.
The agent receives a defined list of allowed tools, tasks and actions.
Important activity, problems and approvals can be recorded and reviewed.
Unclear or unavailable information is sent to a person instead of being guessed.
Learn more about our approach to responsible AI and data handling.
An AI agent is software that can understand a request, use approved information and complete one or more steps toward a result. For example, an agent might find a customer record, check a policy and prepare a draft response. Its job, information access and allowed actions should be clearly limited.
A chatbot mainly answers questions or holds a conversation. An AI agent can also use tools and follow steps in a business process. It may search company information, prepare a document or update an approved system field. Some chatbots are agents, but many only provide answers and cannot take actions.
Cost depends on the agent’s job, the number of systems it connects to, the information it uses and the safety checks required. A focused internal knowledge agent costs less than an agent working across several systems and approval steps. We review the use case before providing a clear scope and price.
A focused agent may take a few weeks. A larger agent that uses several systems, sensitive information or complex approval rules normally takes longer. Time is also needed to prepare knowledge, obtain system access and test realistic situations. We provide a delivery plan after reviewing the workflow.
Yes, when the system provides a suitable connection and the company approves access. An agent can search approved documents or work with selected ERP and CRM information. We define what it may read, what it may change and what requires human approval before building the connection.
No AI system can promise zero mistakes. We reduce risk by limiting the agent’s job, using approved information, testing realistic questions, adding clear rules and requiring human review for important actions. When the agent is uncertain, it should say so or send the task to a responsible person.
Ownership is agreed before launch. The company should have a responsible person who understands the agent’s job, users and limits. Ailutions provides handover information and can offer ongoing monitoring, maintenance and improvements. Access, support and future changes are defined as part of the project.
Tell us what the agent should help with, who will use it and which systems or information are involved. We will help you decide if an AI agent is the right solution.