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Appice Allyvate AI

Four AI agents that work across every module — generating content, optimising campaigns, applying reasoning rules and supporting real-time decisioning — all under defined controls and human approval.

Appice Allyvate AIContent · Optimize · Reasoning · Decisioning Agents

What is Appice Allyvate AI

Allyvate AI is the intelligence layer embedded across the Appice platform. Rather than a standalone product, it operates as a set of four specialised agents that run alongside Integrate, Intent, Interact, and Insights — each agent taking on a distinct role in the campaign lifecycle.

Agents4 specialized
Works withAll modules
DeploymentAuto, no rule writing
No rule writing required. Allyvate AI agents learn from your data and propose optimisations — marketers define the goals and approve the changes that go live.

Content Agent

The Content Agent generates personalised message content at scale. Given a campaign objective, audience segment, and channel, it produces subject lines, body copy, and creative variants optimised for the specific user cohort.

What it does

  • Generates personalised push, email, SMS, WhatsApp, and in-app message variants
  • Adapts tone, length, and CTA language per audience segment
  • Produces A/B variants automatically without manual copywriting
  • Respects brand voice guidelines and compliance constraints defined in settings

Works with

The Content Agent integrates directly with Appice Interact campaign creation and with Appice Intent audience signals to personalise at the individual level.

Content Agent outputs can be reviewed before sending or set to auto-deploy — the governance model is configured per workspace in User Management & Security.

Optimize Agent

The Optimize Agent continuously improves campaign performance by adjusting send times, channel mix, frequency, and content variants based on live engagement signals.

What it does

  • Selects the optimal send time per user based on historical engagement patterns
  • Dynamically shifts budget and volume across channels based on conversion rates
  • Suppresses users who are showing fatigue signals to reduce churn risk
  • Runs multi-armed bandit experiments across content and timing variants

Works with

The Optimize Agent reads from Appice Insights dashboards and campaign reports, and adjusts execution parameters in Appice Interact in real time.

Reasoning Agent

The Reasoning Agent applies business logic, compliance rules, and contextual constraints to every decision before action is taken. It acts as the governance and eligibility layer across all agents.

What it does

  • Evaluates each user against eligibility rules before campaign inclusion
  • Applies regulatory constraints — RBI, SAMA, MAS, GDPR — to message timing and content
  • Resolves conflicts when multiple campaigns target the same user simultaneously
  • Generates explainability logs for every decision (audit-ready)

Works with

The Reasoning Agent runs on top of Appice Intent audience outputs and feeds cleared decisions into Appice Interact and Appice Inform (ANS). All reasoning decisions are logged in the audit trail under User Management & Security.

Audit trail. Every decision the Reasoning Agent makes is logged with the rule applied, the outcome, and the timestamp. Regulators can export these logs directly.

Decisioning Agent

The Decisioning Agent determines the single best action, best time, and best channel for each individual customer at any given moment — combining signals from all other agents and modules into a final ranked recommendation.

What it does

  • Ranks available actions per customer using predictive scores from Appice Intent
  • Selects the winning action based on business value, predicted response probability, and recency
  • Routes the decision to the appropriate channel — push, email, ANS, in-app, or suppression
  • Feeds outcomes back into the model loop for continuous improvement

Real-time decisioning

The Decisioning Agent operates at sub-100ms latency. It is triggered by live events captured by Appice Integrate — such as a login, a transaction, or a browse event — and delivers the action before the customer has left that context.

Input

Live event signals

Appice Integrate streams events into the Decisioning Agent in real time. A transaction, session start, or API call can all trigger a decision.

Output

Ranked next-best action

The agent outputs the best action + channel + message variant. This is handed off to Appice Interact or Appice Inform (ANS) for delivery.

How the four agents work together

Each agent has a distinct role but they share a common data layer. A typical real-time engagement flow looks like this:

  1. Event arrives via Appice Integrate (e.g., user completes a transaction)
  2. Decisioning Agent evaluates what action to take based on Intent scores
  3. Reasoning Agent checks eligibility, compliance rules, and fatigue constraints
  4. Content Agent generates the personalised message for the selected channel
  5. Optimize Agent confirms the timing and channel based on past engagement
  6. Appice Interact / ANS delivers the message
  7. Appice Insights captures the outcome and feeds it back into the model loop
This closed loop — from event to decision to delivery to measurement — is what Appice calls real-time agentic engagement.

Next steps

Appice Intent — SegmentationSee the audience and ML model layer that feeds Allyvate AI decisioning. Appice Inform — ANS & APIsUnderstand how agentic decisions are delivered via the Agentic Notification System.