AI Agent Assistant
Support for the agent, during the interaction, not after it.
This application is in development. Ask to be notified when it becomes available, or tell us what your operation needs from it.
Overview
What AI Agent Assistant does
AI Agent Assistant works beside the agent while the interaction is happening: surfacing the relevant knowledge article, proposing a next step, and drafting the wrap-up note once the conversation ends.
The agent stays in control. Suggestions are proposals, every action is logged, and the assistant is scoped to the knowledge your organisation has approved.
- In-interaction suggestions
- Knowledge retrieval
- Automated wrap-up
Key Benefits
Why operations adopt it
Less searching, more solving
The right article appears instead of the agent hunting for it mid-call.
Shorter after-call work
Wrap-up notes and dispositions are drafted from the interaction itself.
Consistency for new agents
Junior agents get the guidance that experienced agents already carry.
Capabilities
Capabilities
Configured by your own administrators — not hard-coded into the application.
Contextual knowledge retrieval
Pull the relevant approved article from Knowledge Base as the topic emerges.
Next-step suggestions
Recommend actions based on the conversation and the customer record.
Draft wrap-up notes
Generate a summary and proposed disposition for the agent to confirm.
Scoped to approved content
Answers are grounded in your own knowledge base, not open-ended generation.
Human in the loop
Nothing is sent or saved without the agent accepting it.
Assistance analytics
Measure suggestion acceptance and the effect on handling time.
Use Cases
Where it is used
Complex product portfolios
Help agents navigate a catalogue too large to memorise.
High-turnover operations
Shorten the time a new agent needs to reach the production standard.
Integrations
Connects with
Integration availability is confirmed for your environment before any commitment is made.
Every application exposes a documented REST API for reading and writing its own data.
Subscribe to events and receive signed outbound calls when something changes.
Federated sign-in against your corporate identity provider.
Architecture
How it is built
This application runs as a multi-tenant SaaS product with its own data isolation, role model and API. It can operate entirely on its own, or exchange data with your existing systems through the connector layer.
Multi-tenant isolation
Each customer operates inside an isolated organisational environment. Data, users, configuration and reporting are scoped to a tenant at the application layer.
Role-based access control
Permissions are granted by role, and roles are scoped to the tenant, team and function that requires them.
API authentication and scoping
Integrations authenticate with issued credentials limited to specific endpoints and data, and can be revoked independently.
In development
Tell us what you need from it
This application is in development. Ask to be notified when it becomes available, or tell us what your operation needs from it.
An honest note
We do not publish demos or screenshots of applications that are still in development. If timing matters to your decision, ask us for the roadmap position directly.
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