Most enterprises can see what happened. The harder problem is knowing why it happened, what is likely to happen next, and what to do now – before the impact compounds.
Lighthouse closes that gap. It combines live enterprise data, consulting-grade problem structuring, machine learning and generative AI to continuously detect meaningful KPI shifts, diagnose root causes, recommend actions with clear ownership, and learn from outcomes.
It works above existing data and BI environments, turning information into decisions and decisions into measurable action.
Lighthouse autonomusly monitors business performance and moves beyond reporting to diagnose causes, anticipate outcomes and recommend the right action.
Continuously monitors critical KPIs and identifies meaningful shifts as they emerge.
Traces the movement to the underlying driver, process, customer segment or micro-cohort.
Forecasts potential outcomes and quantifies the business risk if no action is taken.
Lighthouse combines rigorous problem solving, adaptive machine learning and industry context in one enterprise decision intelligence platform.
MECE-based KPI trees and hypothesis-driven root-cause frameworks are encoded as reusable product intelligence, making analysis rigorous, repeatable and scalable
Incedo LighthouseTM powered Optivus for Collections is an AI-native decision optimization platform that seamlessly integrates with existing collections infrastructure, enabling proactive, data-driven decision-making. It identifies risks early, prioritizes high-impact accounts, and recommends optimal strategies using machine learning–driven analytics, micro-segmentation, and self-cure clustering. The platform also ensures full transparency and compliance with relevant regulations.
By connecting data, intelligence, and action, Incedo LighthouseTM delivers tangible business outcomes across sectors — driving ROI from AI@Scale.
Available on AWS marketplace
Enable leaders to improve business metrics by automating AI-based insights and action recommendations in real time.