An AI agent understands a request, decides which steps are needed and carries them out through the systems it is connected to: searching knowledge, reading records, calling APIs, updating tickets and notifying people. TecBytz builds agents with defined tools and permissions, human approval for sensitive actions, and a full log of every step.
What problems does it solve?
Requests that touch many systems
Simple requests need someone to check three systems and update two more.
Rigid automation
Rule-based workflows break when a request is phrased differently.
Slow hand-offs
Requests wait in queues between teams before anyone acts.
What does an AI agent do, step by step?
Examples of workflows an agent can carry out through the systems it is connected to. Each agent acts only through the tools and permissions you approve.
Customer service agent
- Understand the customer request
- Search the knowledge base
- Retrieve customer information
- Check order or service status
- Create or update the ticket
- Draft or send the response
HR agent
- Understand the employee request
- Search HR policies
- Retrieve employee information
- Start the right workflow
- Notify the relevant team
Business automation agent
- Receive the request
- Analyse the information
- Call the required APIs
- Update business systems
- Generate a report
- Notify stakeholders
What can TecBytz build?
- Defined tools and permissions: Agents can only use the systems and actions you approve.
- Human-in-the-loop: Sensitive steps, such as payments or customer commitments, wait for approval.
- Multi-step workflows: Agents plan and carry out several steps across systems.
- Full audit trail: Every decision, tool call and result is logged.
- Fallback to people: Anything outside the agent's scope is handed to a person with context attached.
Where can it be applied?
Potential applications
Service desk triage
Classify, enrich and route incoming requests, and resolve the simple ones.
Back-office processing
Validate requests against policy and prepare them for approval.
Operational reporting
Collect data from several systems and produce a scheduled report.
Which systems does it connect to?
- Ticketing and ITSM tools
- CRM, ERP and HRM systems
- Internal and third-party APIs
- Email, chat and notification channels
We integrate through your systems' APIs, databases and extension points. See AI integration.
How do we deliver it?
Discover
Understand the business problem, data, users and desired outcomes.
Assess
Evaluate data readiness, existing systems, integration requirements, security and AI feasibility.
Design
Design the AI architecture, user experience, workflows and integration model.
Develop
Build, integrate and test the AI-powered solution.
Validate
Evaluate accuracy, reliability, security, performance and user experience.
Deploy
Deploy into your environment and integrate with existing systems.
Improve
Monitor usage, collect feedback and keep improving the solution.
Questions
Can an agent act without anyone checking?
Only for the actions you decide are safe to automate. We define each agent's tools and permissions with you, and sensitive actions can require human approval.
How is this different from business process automation?
Traditional automation follows fixed rules. An agent can interpret free-text requests and choose the steps needed, while still running inside the rules and systems you define. The two work well together; see business process automation.
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