Built with banks.
Shaped by what
moves KPIs.
Everything listed below is either in active development or planned for 2026 — grounded in real deployments and customer feedback, not speculation.
AI Agents & Automation
AI-Powered Segmentation
Use natural language to define audience segments — marketers and analysts type what they need, the platform builds and validates the segment automatically. No SQL required.
Agent Workflow Engine
Multi-step AI agents that orchestrate actions across the platform — from detecting a trigger event through scoring, segmenting, personalising and reporting — with full governance and audit trail.
Advanced PII Filtering
Extended PII detection and masking across all LLM prompts and agent responses — covering structured and unstructured data, with granular consent-aware rules per data category and jurisdiction.
Automated RAG Generation
Automatically build and maintain RAG knowledge bases from bank-internal documents, product sheets and regulatory texts — keeping AI assistants grounded in current, institution-specific information.
Advanced Hyper-Personalisation
Next level of real-time personalisation: dynamic content assembly per individual, cross-channel consistency and AI-optimised sequencing across all touchpoints — far beyond rule-based approaches.
Data Layer & Integrations
Extended Data Source Connectors
New pre-built connectors for core banking systems, card platforms, CRM and digital channel data — reducing integration time from months to days for standard banking infrastructure.
Open Banking Integration
Native PSD2/open banking data ingestion — enriching the customer 360 profile with consented external account data for better predictions, offers and lifecycle decisions.
System of Record → System of Action Bridge
Deepening the connection between legacy banking data (core systems, DWH) and real-time decisioning — so every action is grounded in the full customer history, not just recent events.
Marketing Orchestration Engine Integration
Tighter integration with external marketing orchestration tools — enabling ACCELERAID to serve as the intelligence layer while activating campaigns through existing email, push and CRM systems.
Analytics & Prediction Models
Advanced Analytics
New self-service analytics layer: cohort analysis, funnel breakdowns, revenue attribution and campaign impact — directly tied to the governed data layer with full lineage.
Expanded Standard Model Library
More pre-built ML models ready to deploy: additional churn variants, next-best-product, payment behaviour, loyalty scoring and credit risk early-warning indicators.
Advanced Regulatory Reporting
Expanded regulatory report library covering ESG, Basel IV, DORA operational resilience metrics and new EBA requirements — all generated from the same governed data layer as growth modules.
Tell us what would move your KPIs.
Our roadmap is shaped by direct customer input every quarter. If something here matters to your bank — or something is missing — let us know.
Talk to the Product Team →