Unlike black-box solutions, the Contextual Intelligence Engine allows users to review the total and component scores for each potential recommendation—including alternatives that weren’t published to the user’s workflow—resulting in higher long-term adherence and user confidence.
Set up and maintain use cases, real-world guardrails, recommendation text and other AI configurations with an intuitive user interface that makes it easy to implement changes quickly.
Integrate analytical and machine learning inputs built by your in-house team with Aktana’s out-of-the-box engagement models for a best-of-both-worlds approach that leverages the work you’ve already done.
What does “optimal” look like for your brand at this point in its lifecycle? Granular controls allow you to calibrate optimization based on your unique commercial priorities, while real-time optimization considers long-term commercial goals alongside short-term engagement opportunities.
Deliver the personalized customer experience HCPs expect—no matter who initiates the conversation—with cross-channel optimization that works for both push and pull marketing strategies.
Process data, rules, models and campaigns from any source—including internal analytic models and IP—for actionable intelligence informed by a complete picture of each HCP.
Optimize for short-term campaign execution and long-term strategic goals with a dynamic AI approach that balances machine learning and expert guidance to ensure recommendations work in the real world.
Arm users with clear explanations for each recommendation. Anticipate the impact of AI before you deploy to scale with A/B testing and intuitive reports that clearly link configurations with outcomes.