The Full Suite

Every capability you need to turn data into decisions — on one platform

Nine modules across three categories, connected by one data foundation and one governance layer. Adopt one module or the full suite; they are designed to work together from the start.

A

Category A — Orchestration & Automation

Engage customers and automate work across the institution.

N-CampOrch

Campaign orchestration and customer engagement

Design, approve and run multi-channel campaigns driven by propensity models, with test and control groups and ROI built in.

  • Campaign creation and scheduling
  • Customer segmentation
  • Campaign audience selection
  • Multi-channel journey orchestration
  • Campaign performance analytics
  • A/B testing
  • Conversion and uplift tracking
  • Campaign approval workflows
  • Integration with propensity models
  • Marketing ROI analysis

Works with: N-Actions, N-e2eML, N-e2eBI

N-Agents

AI agents and workflow automation

Put governed AI agents to work on documentation, portfolio insights, marketing analytics and monitoring — with humans approving what matters.

  • AI agent catalog
  • Agent configuration
  • Workflow automation
  • Agent execution monitoring
  • Human-in-the-loop approvals
  • Agent activity logging
  • Tool and API integration
  • Agent performance dashboards
  • AI governance and guardrails

Works with: N-e2eML, Governance & Audit, N-e2eBI

B

Category B — Business Decision Intelligence

Optimise every customer and credit decision.

N-PriceOp

Pricing optimization

Set risk-based prices that balance take-up, margin and loss — tested safely through champion–challenger strategies.

  • Risk-based loan pricing
  • Interest-rate simulations
  • Customer-level price recommendations
  • Pricing elasticity analysis
  • Profitability optimization
  • Pricing constraints
  • Scenario comparisons
  • Champion–challenger strategies
  • Pricing approval workflows

Works with: N-e2eML, N-PolicyOp, N-e2eBI

N-Actions

Next-best-action and decision intelligence

Recommend the next best action and offer for every customer — prioritised by value, filtered by rules and fully explainable.

  • Next-best-action recommendations
  • Next-best-offer recommendations
  • Customer propensity scoring
  • Customer lifetime value
  • Retention recommendations
  • Cross-sell and upsell
  • Recommendation prioritization
  • Decision rules
  • Recommendation explainability
  • Business impact measurement

Works with: N-e2eML, N-ETBs, N-CampOrch

N-PolicyOp

Credit and business policy optimization

Manage, simulate and optimise credit policy within your risk appetite, with every version approved and auditable.

  • Credit policy rule management
  • Policy versioning
  • Approval cutoff optimization
  • Credit limit recommendations
  • Risk appetite constraints
  • Approval-rate simulation
  • Default-rate simulation
  • Expected credit loss analysis
  • Policy champion–challenger testing
  • Policy approval workflows
  • Policy audit history

Works with: N-e2eML, N-PriceOp, N-e2eBI

N-ETBs

Existing-to-bank customer intelligence

Understand and grow your existing customer base — behaviour, holdings, profitability, risk migration and retention in one view.

  • Existing customer segmentation
  • Customer behavior analysis
  • Product holding analysis
  • Customer engagement
  • Cross-sell opportunities
  • Customer risk migration
  • Customer profitability
  • Customer lifecycle analysis
  • Customer retention analytics
  • Portfolio-level customer insights

Works with: N-DataModels, N-Actions, N-CampOrch

C

Category C — Data, ML & Analytics Foundation

The governed foundation every decision is built on.

N-DataModels

Enterprise data model management

Catalog sources, manage schemas and dictionaries, trace lineage and publish governed features and datasets.

  • Data source catalog
  • Data model registry
  • Data schema management
  • Data dictionaries
  • Data lineage
  • Data quality monitoring
  • Feature definitions
  • Dataset versioning
  • Data access permissions
  • Data governance

Works with: N-e2eML, N-e2eBI, N-ETBs

N-e2eML

End-to-end machine learning lifecycle platform

Track experiments, register and version models, validate independently, deploy, monitor drift and retire — for credit risk, marketing, collections, fraud and customer analytics.

  • ML experiment tracking
  • Model development workspace
  • MLflow integration
  • Databricks integration
  • Model registry
  • Model versioning
  • Model deployment
  • Model monitoring
  • Model explainability
  • Model documentation
  • Model validation
  • Approval workflows
  • Audit evidence
  • Drift detection
  • Model retirement

Works with: N-DataModels, N-Agents, decision modules

N-e2eBI

End-to-end business intelligence

Give every role the dashboards and reports it needs — from executive KPIs to portfolio, risk, marketing and customer analytics.

  • Interactive dashboards
  • Business KPI management
  • Custom report builder
  • Data visualization
  • Portfolio analytics
  • Credit risk analytics
  • Marketing analytics
  • Customer analytics
  • Executive dashboards
  • Scheduled reporting
  • Data exports
  • Role-based dashboard access

Works with: All modules

Shared services

The connective tissue across all nine modules

Shared services give every module the same controls, the same measurement and the same administration — so the suite behaves like one product.

Governance & Audit

Version control, approval workflows, documentation, lineage, risk classification, validation tracking, evidence management and exportable audit reports for every model, campaign, policy, pricing strategy and agent.

Business Impact

Baseline KPIs, champion–challenger and holdout analysis, revenue uplift, cost savings, risk-adjusted profit, ROI and benefit attribution — with transparent, editable assumptions and simulated benefits kept separate from realised ones.

Integrations

Connectors and adapters for core systems, data platforms and cloud services, plus documented REST APIs for every module.

Reports

Saved and scheduled reports, standard documentation packs and data exports, with access controlled by role.

Administration

Users and roles, tenant configuration, configurable module terminology and business rules, and platform settings.

Multi-tenant security

Separate users, datasets, models, campaigns, strategies, policies, agents, governance records and reporting for each institution.

Cross-module workflows

The modules work as one

Three reference workflows show how intelligence flows through the suite — each step builds on the one before, with governance captured along the way.

A · Credit risk optimisation

  1. 1N-DataModels
  2. 2N-e2eML
  3. 3N-PolicyOp
  4. 4N-PriceOp
  5. 5N-Actions
  6. 6N-e2eBI

Load application data, select and validate a probability-of-default model, simulate policy changes, optimise pricing, recommend an action and report risk-adjusted profitability.

B · Marketing optimisation

  1. 1N-DataModels
  2. 2N-e2eML
  3. 3N-Actions
  4. 4N-CampOrch
  5. 5N-e2eBI

Select customers, apply a cross-sell propensity model, generate next-best-offers, launch a campaign with test and control groups, and measure incremental contribution.

C · Automated model governance

  1. 1N-e2eML
  2. 2N-Agents
  3. 3Governance & Audit
  4. 4N-e2eBI

Register a new model version, run the validation checklist, draft documentation with an agent, request independent approval, record the decision and track governance status.

Technology & integrations

Open, modular and cloud-ready

A modular architecture with clearly separated domain modules, documented REST APIs and adapters for the platforms your teams already use.

Data & ML platforms

Databricks jobs and tables, MLflow experiment tracking and model registry, Python and scikit-learn workflows, optional PySpark.

Cloud infrastructure

Designed for AWS: containerised services on Amazon EKS, storage on Amazon S3, monitoring with CloudWatch and secrets in AWS Secrets Manager.

Enterprise systems

Core banking, loan origination, credit bureau feeds, card management, CRM, collections, payments and digital channels via APIs, batch and event streams.

  • Databricks
  • MLflow
  • Amazon S3
  • Amazon EKS
  • CloudWatch
  • Secrets Manager
  • MongoDB
  • FastAPI
  • REST APIs
  • Docker
  • Webhooks
  • SFTP
Adoption

Start focused. Scale across the suite.

We work with your teams to pick a first use case with clear, measurable value, then extend to adjacent modules on the same foundation.

Plan your first use case
  1. 1DiscoverPriorities, data & success metrics
  2. 2ConfigureData models, roles & rules
  3. 3PilotChampion–challenger with holdouts
  4. 4ScaleMore modules, products & teams

Ready to turn intelligence into conversions?

Book a tailored walkthrough of the suite for your institution’s portfolio, products and priorities.

Book a demo Explore the platform