AI Agents
A specialist agent for every department.
Each agent has a defined role, an approved toolset and the permissions of the people it works for. The orchestrator coordinates them into end-to-end workflows.
Sales Agent
Qualifies opportunities, prepares account briefs and updates the CRM.
Marketing Agent
Drafts campaign content and reports on performance.
HR Agent
Answers policy questions and coordinates onboarding tasks.
Finance Agent
Matches invoices, flags exceptions and prepares summaries.
Procurement Agent
Compares quotes and routes purchase requests for approval.
Customer Support Agent
Resolves common requests with cited answers; escalates the rest.
Document Intelligence Agent
Extracts, classifies and validates data from documents.
Security Agent
Triages findings and opens remediation tasks.
Analytics Agent
Answers data questions and builds recurring reports.
Research Agent
Gathers and summarises information from approved sources.
See them collaborate
Agents working together
Instruction
“Identify qualified business opportunities, analyze requirements, prepare a proposal, and notify the sales team.”
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
Inspector
Run the workflow or select a node to see which agent is working and which tool it uses.
Activity log · demo
- Waiting for run…
Agent lifecycle
From idea to trusted agent
01
Define the task & tools
02
Set permissions & autonomy level
03
Evaluate on test cases
04
Pilot with human approval
05
Monitor & improve
Discuss your AI architecture
Talk to ADGTech engineers about models, knowledge, agents and where your AI should run.