Autonomous Decision Intelligence for the 100X Executive Problems found. Root causes traced. Before anyone asks.
Incedo LighthouseTM continuously monitors the KPIs that matter, diagnoses why they move, forecasts what comes next, and recommends the next action with clear ownership, before the first meeting is scheduled.
Meet Incedo LighthouseTM
Intelligence that closes the loop from signal to impact
From signal to impact - Four modes of intelligence, one loop
Descriptive
What happened?
Diagnostic
Why did it happen?
Predictive
What is likely to happen next?
Prescriptive
What should we do?
The Enterprise Challenge
The intervention window closes before the insight arrives
By the time a signal reaches a leader — filtered through analyst queues, review meetings, and slide decks — the moment to act has already passed. The problem isn't access to information. It's that decisions move slower than the business does.
57%
of C-suite executives say most of their decision-making time is spent inefficiently.
$250M
in annual value lost to slow, uncertain decision cycles at a typical Fortune 500.
67%
of well-formed strategies fail because the loop between intent and execution never closes fast enough.
93%
of senior executives admit their company missed early warning signals before they became crises.
Incedo LighthouseTM doesn’t give executives more to look at. It autonomously surfaces root causes and recommended actions — before the window closes, without routing through an analyst, and directly tied to execution.
Who We Serve
Two types of leaders. One platform.
Incedo LighthouseTM is built for the executive who needs diagnosis and a recommended course of action without having to ask — and the operator who needs to know not just that a number moved, but exactly why, and what to do before it compounds.
The 100X Executive
The Executive
CEOs, CFOs, COOs, and CROs who need a continuous diagnosis of business health and a recommended course of action — without convening a meeting, waiting for a report, or asking an analyst.
- CEO
- CFO
- COO
- CRO
- Business Head
What they need from Lighthouse
The Accountable Operator
The Operator
- VP Operations
- Head of Retention
- Network Ops
- Collections Lead
- Senior RM
What they need from Lighthouse
Industry Intelligence
Purpose-built for the industries that matter
Incedo LighthouseTM carries domain-specific KPI logic, problem archetypes, and prescriptive actions tuned for Telecom, Banking, and Wealth Management — not a generic analytics layer.
Telecom leaders face relentless churn pressure, ARPU erosion, and network-to-revenue cascades that legacy BI can't diagnose fast enough. Lighthouse surfaces the root cause and recommended action before contracts lapse.
- CEO / COO
- Chief Revenue Officer
- VP Customer Success
- Network Operations Head
- Head of Digital Sales
Pain Points
-
Subscriber churn rising from service degradation — impossible to pinpoint before contracts lapse
-
ARPU declining as customers shift to lower-cost plans and competitors undercut pricing
-
Network outages cascade into churn and SLA penalties before ops teams can respond
-
Revenue leakage from billing exceptions, pricing errors, and unapplied promotions
Core Use Cases
-
Churn Prediction & Retention
Identify at-risk subscribers before contract end and trigger targeted retention
-
Network-to-Churn Monitoring
Correlate outage events to churn risk in real time — act before SLA breach
-
ARPU Optimization
Surface upsell opportunities by segment with revenue impact quantified
-
Digital Sales Conversion
Diagnose drop-off in acquisition and optimize channel mix
Problem Archetypes Solved
- Subscriber Churn Root Cause
- Revenue Per User Decline
- Network-to-Churn Cascade
- Go-to-Market Leakage
- SLA Breach Risk Detection
- Digital Channel Drop-off
Banking leaders face mounting credit losses, digital conversion gaps, and regulatory exposure — all compounding faster than manual analysis can keep pace. Lighthouse delivers diagnosis and action at the speed the market demands.
- CEO / COO
- Chief Risk Officer
- Head of Retail Banking
- Collections Operations Head
- Head of Digital Banking
Pain Points
-
Credit losses rising from underperforming collections — manual processes can't prioritize at scale
-
Digital acquisition costs climbing while conversion rates remain stagnant
-
Regulatory risk reporting is manual, slow, and error-prone — creating compliance exposure
-
Margin compression from product mix shifts, rising cost of funds, and hidden leakage
Core Use Cases
-
Collections Optimization
Predict which accounts to prioritize and trigger the right intervention
-
Digital Sales Personalization
AI-driven next best offer, tripling digital conversion rates
-
Risk & Compliance Monitoring
Real-time anomaly detection with root cause and remediation
-
Customer Lifetime Value
Identify high-value customers at attrition risk and intervene early
Problem Archetypes Solved
- Credit Loss Driver Analysis
- Digital Conversion Drop-off
- Collections Efficiency Decline
- Regulatory Exposure Detection
- Margin Compression Root Cause
- Customer Attrition Risk
Wealth management executives face AUM erosion from advisor transitions, silent HNW client churn, and advisor productivity gaps that don't surface until it's too late. Lighthouse makes the invisible visible — and actionable.
- Head of Wealth Management
- CEO / COO
- Senior Relationship Manager
- Head of Advisor Operations
- Compliance Officer
Pain Points
-
AUM under pressure from advisor transitions — outflows go undetected until accounts are lost
-
HNW client churn is invisible until the withdrawal has already processed
-
Advisor-client interaction frequency dropping — relationship quality degrading silently
-
Portfolio performance divergence across advisors — no unified view of risk-adjusted outcomes
Core Use Cases
-
AUM Flow Monitoring
Track inflows, outflows, and net AUM in real time with Q-ahead projections
-
Advisor Performance Analytics
Surface productivity gaps and benchmark advisors against peers
-
Client Retention Intervention
Identify HNW clients at churn risk and trigger advisor outreach early
-
Portfolio Risk Management
Monitor unrealized gain/loss and concentration risk by advisor book
Problem Archetypes Solved
- AUM Outflow from Advisor Attrition
- HNW Client Churn Detection
- Advisor-Client Interaction Decline
- Portfolio Risk Concentration
- Revenue at Risk from Inactivity
- Advisor Transition Impact
Functional Architecture
How Incedo LighthouseTM turns enterprise signals into decisions and actionA role-aware intelligence stack connects business context, autonomous analytics, and enterprise data to run the full descriptive-to-prescriptive decision loop.
01 Role-Driven Experience
C-Suite
Middle Managers
Analysts & Data Scientists
Persona-Based UX
02 Business Domain Intelligence
Revenue
Operations
Customer Experience
Risk & Compliance
03 Intelligence & Insight Engine
Descriptive
Diagnostic
Predictive
Prescriptive
04 Core AI & Knowledge Foundation
MERIT
CKF
AIF
Platform Services
Enterprise data and connectivity: integrates with PostgreSQL, Snowflake, BigQuery, MySQL, Oracle, DuckDB, and REST-based sources to support domain use cases across Telecom, Wealth Management, Banking, Life Sciences, and Hi-Tech.
Six capabilities that make Incedo LighthouseTMÂ distinctive
Incedo LighthouseTM combines executive accessibility, consulting-grade problem solving, domain intelligence, adaptive modelling, and agentic execution in one platform.
Lighthouse vs. General-Purpose AI
Purpose-built intelligence, not a prompted LLM
A general-purpose LLM generates plausible text. Lighthouse delivers structured, auditable decisions grounded in your live data — combining a structured reasoning engine, adaptive model selection, and deep domain logic that no standalone LLM can replicate.
| Dimenstions | ✕ General-Purpose LLM | ✓ Incedo Lighthouse |
|---|---|---|
|
Data foundation |
Draws on training data — answers may be generic, outdated, or hallucinated |
Connected to your live systems — every response reflects current KPIs and actual business performance |
|
Reasoning approach
|
Generates probabilistic text — no structured decomposition of the problem
|
Applies proven consulting frameworks to decompose every problem into root causes — structured, not generated
|
|
Model selection (MERIT) |
One model for every question — no differentiation by data type or distribution |
MERIT scores seven analysis families per dataset and selects the statistically best fit — classification, forecasting, anomaly detection, and more |
|
Domain knowledge (CKF) |
Requires heavy prompting for industry-specific responses — no native domain logic |
CKF encodes Telecom, Banking, and Wealth Management KPI logic natively — industry-accurate responses by default |
|
Monitoring posture
|
Responds when asked — passive; problems surface only if you ask the right question |
Continuously monitors all signals and surfaces anomalies autonomously — before you know to ask |
|
Explainability & audit |
Cannot trace its reasoning path — no audit trail, no reproducibility |
Full traceability — every KPI shift, root cause, and recommendation is logged and auditable |
|
Output type |
Describes situations — rarely delivers specific, owned, trackable actions |
Prescribes specific next actions with ownership, execution-system integration, and outcome tracking |
Business impact across production deployments
Case Studies
Insights and Resources
Spotlight
Available on AWS marketplace
Incedo LighthouseTM - Decision Intelligence for Real-Time Business Clarity
Enable leaders to improve business metrics by automating AI-based insights and action recommendations in real time.
Enterprise buyer FAQ What enterprise buyers ask most
Clear answers on Lighthouse’s role alongside LLMs, BI platforms, internal data teams, and the enterprise technology stack.
Why do we need Incedo LighthouseTM if we already use LLMs?
A general-purpose LLM does not know your live KPIs, causal history, enterprise documents, or institutional knowledge. Incedo LighthouseTM grounds LLM reasoning in your business through its knowledge and data layers, so answers are based on your metrics, context, and evidence — not generic training data.
Will newer LLMs and copilots make Incedo LighthouseTM redundant?
No. Foundation models are an important reasoning engine inside Lighthouse, but the differentiated value sits above the model: vertical ontologies, domain-specific KPI logic, enterprise context, evaluation controls, continuous monitoring, and action integration. As models improve, Incedo LighthouseTM can use stronger engines while retaining the business-specific intelligence layer.
How is Incedo LighthouseTM different from Power BI or Tableau?
Power BI and Tableau are designed primarily to show what happened. Incedo LighthouseTM extends the decision chain: it diagnoses why a metric moved, forecasts what may happen next, recommends what to do, and tracks the outcome. It complements existing BI investments rather than replacing them.
Our BI tools already include AI copilots. What gap does Incedo LighthouseTM fill?
BI copilots can accelerate chart creation, queries, and summaries. Incedo LighthouseTM is designed for autonomous business problem solving: it reasons across structured KPIs, documents, and external signals; applies causal and domain knowledge; evaluates output quality; and connects recommendations to action and impact tracking.
What value does Incedo LighthouseTM add if we already have a Data & AI team?
Your Data & AI team builds models, pipelines, and analytical assets. Incedo LighthouseTM operationalises that intelligence for business users — converting outputs into grounded explanations, routing recommendations to the right decision-maker, and tracking whether actions were taken and delivered the intended result.
Who is Incedo LighthouseTM built for?
Incedo LighthouseTM primarily serves two groups. Executives — such as CEOs, CFOs, and COOs — receive an automatic diagnosis and a decision-ready recommendation. Operators and functional leaders receive driver-level root cause, recommended action, ownership, and impact tracking for the KPIs they are accountable for.
What use cases can we start with?
The fastest starting point is a high-value metric that is currently monitored manually or diagnosed too late. Typical examples include churn, ARPU erosion, and network performance in Telecom; collections, deposit flight, and regulatory exposure in Banking; and AUM outflows, advisor attrition, and client disengagement in Wealth Management.
How are Incedo LighthouseTM insights validated and made reproducible?
Every diagnosis is traceable to the supporting data, document, or signal. Outputs can be tested against benchmark questions and confidence thresholds, with human review for low-confidence cases. Incedo LighthouseTM also tracks whether each recommendation worked and feeds the outcome back into future analysis, improving decision quality over time.
What data and integration foundation does Incedo LighthouseTM require?
Incedo LighthouseTM works with an existing enterprise data foundation. It connects to databases, cloud warehouses, APIs, KPI feeds, and business systems; it does not replace your warehouse or core data pipelines. Deployment is typically centred on a priority business problem and the data sources needed to solve it.