We build AI agents for your company’s internal workflows
Turn historical tickets and documentation into fast answers — so teams spend less time repeating the same resolutions.
Faster resolution
Answers based on your indexed knowledge and prior cases.
Traceable responses
The agent can ground each answer in stored material and prior resolutions.
We productize internal know-how into specialized agents
AgentsKor focuses on building domain agents that answer operational questions using your company’s documentation and historical cases.
Knowledge-driven
Index tickets, SOPs, runbooks, and internal docs into a searchable base.
Role-specific
Each agent is scoped to a process (e.g., SAP OTC, IT resolution) with clear boundaries.
Reduce repeated work
Reuse proven answers from prior tickets instead of re-investigating from scratch.
Two demo agents, two common pain points
Pick a demo and test real questions. Each agent is limited to its domain and uses the indexed material you provide.
Liam — SAP OTC Assistant
Answers functional SAP SD / Order-to-Cash questions using internal documentation and SAP know-how.
Adrian — IT Resolution Agent
Finds prior resolutions, summarizes steps, and helps reduce repeated troubleshooting.
Integrations + actions (beyond chat)
The agent can live where your team already works, and can be extended to run automated steps when needed.
Messaging channels
Expose the agent through collaboration tools (e.g., Teams, Slack, Google tools) where applicable.
Action workflows
Connect to automations (e.g., n8n-style workflows) to generate files, trigger tasks, or enrich answers.
Structured outputs
Return step-by-step procedures, checklists, and summaries aligned to ticket resolution.
Run in cloud or inside your tenant
Choose the deployment model that fits your governance. The same agent experience can be delivered with different hosting options.
Cloud deployment
Fast time-to-demo for pilots and proof-of-value.
Corporate tenant
Keep data access and controls aligned to your internal policies.
Access & scope
Role-scoped agents with boundaries, to reduce risk and noise.