Corinsoft service
AI Agent Development for Real Business Workflows
An AI agent should have a clear job, bounded permissions and a way to show its work. Corinsoft designs agents around the workflow and operating model rather than starting with a generic chatbot.
Problems we help solve
- Teams spending time searching, summarising or routing work
- Assistants that lack business context
- Automation ideas that need clear approval and exception paths
Capabilities
- Agent and workflow design
- Knowledge retrieval and citations
- Tool and system integration planning
- Human approval and exception handling
- Evaluation and cost monitoring
Technology context
- LLM integrations
- Retrieval-grounded systems
- Business workflow automation
- APIs and enterprise systems
Delivery process
- Define the agent's job and boundaries
- Prepare trusted sources and actions
- Test quality, cost and failure paths
- Release with monitoring and human escalation
Relevant contexts
- Support operations
- Internal knowledge
- Document and workflow teams
Questions about AI agents?
Can an agent take actions?
It can be designed around approved actions and human checkpoints. The right boundary depends on the workflow and risk.
How do you evaluate an agent?
Use-case-specific evaluation sets, answer quality, cost, escalation rate and user feedback are more useful than a generic accuracy claim.