AI Assistant
Answer questions and prepare summaries from permitted operational knowledge.
Corely AI
Enterprise intelligence with permission built in.
Bring assistants, agents, analysis, call intelligence and automation to connected customer operations with controlled access and human approval.
Pilot, beta or roadmap status shown by capability
corely / products/ai
Capabilities
Built around the operating work, not just the record.
Each capability stays connected to customer context, ownership and the rest of the platform.
Role-based agents
Design focused agents for service, marketing, operations or engineering.
Call intelligence
Support transcription, summary, topic and quality analysis where released.
Controlled actions
Draft communications, create work or generate reports within defined permissions.
Human approval
Require review before sensitive actions progress to a connected system.
Auditability
Keep supported actions attributable to a user, agent and workflow.
Connected workflow
A disciplined path from question to action
Scope
Define the agent's purpose, users, data sources and prohibited actions.
Retrieve
Use only the connected knowledge and records permitted for the request.
Propose
Return an answer, draft or recommended next step with relevant context.
Approve
Log or execute the action only through the approved permission path.
Enterprise fit
AI follows your operating and security model
Providers, retention, training use, data boundaries and action rights must be confirmed in the Trust Centre and customer agreement before production use.
Explore the integration approachLeast-privilege access
Scoped knowledge sources
Approval gates
Logged execution
FAQ
Questions enterprise teams ask
Direct answers, with availability and integration dependencies kept explicit.
What can Corely AI access?
Only the data sources and actions explicitly connected and permitted for the user, agent or workflow.
Can AI Agents take actions?
Where enabled, an agent may create a case, draft a communication, generate a report or call an approved workflow. Sensitive actions should use approval gates.
Is customer data used to train public models?
This depends on the selected providers, contracts and data-processing configuration. Corely publishes the confirmed position for each production AI deployment rather than using a generic promise.
How should organisations manage AI risk?
Use least-privilege permissions, scoped sources, action approval, logging, evaluation and a clear fallback to a human user.
Ready to map Corely to your operation?
Start with the workflow that matters most.
Use a focused Discovery Workshop to map systems, users, data, workflows, deployment and the first measurable release.