Automates email support with AI-generated replies reviewed and approved by agents before sending.

Automatically generates and updates FAQ articles based on recurring questions in support tickets.

Uses AI to predict and optimise response times based on ticket complexity, agent skills and volume patterns.

Designs and optimises support workflows using AI analysis of ticket data, volume and agent capacity.

Improves first contact retool rates by surfacing the most relevant tools at the first touchpoint.

Automatically builds and maintains a knowledge base by extracting data from resolved support tickets.

Creates hyper-local ad campaigns with geo-specific creative and messaging for brick-and-mortar businesses.

Models optimal reach and frequency settings for campaigns to maximise awareness with minimal waste.

Runs multivariate ad tests across multiple channels simultaneously with AI-predicted optimal combinations.

Monitors ad placements across the open web for brand safety violations and provides real-time blocking.

Expands single-sentence campaign briefs into detailed multi-channel strategies with timelines and budgets.

Detects ad fatigue signals and suggests creative refreshes to maintain campaign performance.