Inactive
Simplifying IT
for a complex world.
Platform partnerships
- AWS
- Google Cloud
- Microsoft
- Salesforce
Natural language interface over financial and operational KPIs. Executives ask in plain language, get cited answers from live data.
01 PROBLEM STATEMENT
A cross-domain leadership team relied on weekly analyst packs to answer board-level financial and operational questions. CFO and CEO asked questions verbally in leadership meetings; answers came days later via PowerPoint. Analysts spent the majority of their time on ad-hoc data requests rather than strategic analysis. Numbers in the pack were not traceable to source systems in real time. Different CXOs worked from different versions of the same KPI. Operational KPI visibility required IT involvement for every dashboard change, creating a dependency that slowed decision-making.
02 CURRENT CHALLENGES
Every executive data question routed to analyst team. Response time days. Meeting decisions deferred pending data.
Figures in analyst packs not traceable to SAP, Oracle, or Tally in real time. CFO cannot verify source on demand.
Analyst team time consumed on recurring data requests. Strategic analysis and modelling deprioritised consistently.
Every operational dashboard update requires IT involvement. Leadership cannot access live KPIs without a ticket.
03 SOLUTION OVERVIEW
STAR Systems deployed AINE Executive Dashboard Intelligence with BI tool API integration via PowerBI, Tableau, or SAP Analytics Cloud for metric ingestion. ERP financial data feed from SAP, Oracle, or Tally for live P&L context. SSO for executive authentication. Teams or web interface for natural language query input. CFO and CEO ask questions in natural language. Answers cite source data. No model retraining knowledge graph updated weekly from BI layer. STAR provides monthly usage report.
04 WORKFLOW PROCESS
Step 1 (BI and ERP Data Feed): PowerBI, Tableau, or SAP Analytics Cloud connected. SAP, Oracle, or Tally ERP for live P&L context.
Step 2 (Knowledge Graph Build): Knowledge graph built over live BI metrics. Updated weekly from BI layer. No model retraining required.
Step 3 (SSO Executive Authentication): SSO authenticates executives. Role-based access ensures each leader sees data within their scope only.
Step 4 (Natural Language Query Input): CEO or CFO asks a question via Teams or web interface in plain language. No query syntax or training needed.
Step 5 (Cited Live Data Answer): Answer returned with citation to source BI metric or ERP line item. Data traceable to source in real time.
Step 6 (Usage Report and Monitoring): STAR provides monthly usage report. Query patterns analysed. Knowledge graph refreshed weekly from BI layer.
05 KEY FEATURES
PowerBI, Tableau, or SAP Analytics Cloud for metric ingestion. Live BI layer connected. No manual data export required.
SAP, Oracle, or Tally connected for live P&L context. ERP figures traceable to source in real time by CFO on demand.
CEO and CFO ask questions in plain language via Teams or web interface. No query syntax, dashboards, or training needed.
Every answer cites the source BI metric or ERP line. Data credibility maintained. Numbers traceable to source instantly.
SSO enforces role-based access. Each executive sees data within their scope. IT not involved in access management.
Knowledge graph updated weekly from BI layer. No model retraining required. STAR provides monthly usage report.
06 BUSINESS OUTCOMES
Board Question Resolution down from analyst days of preparation
Data Traceability every answer cited to live source
IT Dependency for KPI Access executives self-serve live data directly
CXO Data Alignment all CXOs from the same live data view
07 REAL-WORLD SCENARIO
| Before | After |
|---|---|
| CEO asks a revenue question in a board meeting. Analyst team told to prepare data. Answer arrives 2 days later in a deck. | CEO asks the same question via Teams. Cited answer from live SAP data returned in seconds. Decision made in the meeting. |
| CFO asks for divisional P&L comparison. Analyst builds a PowerPoint overnight. Numbers not traceable to ERP source. | CFO queries the assistant. Divisional P&L from live Tally or SAP returned with line-item citation. Credibility instant. |
| Analyst team spends 70% of their week building data packs for ad-hoc executive requests. Strategic work deprioritised. | Assistant handles ad-hoc queries directly. Analyst team redirected to strategic modelling and value-adding analysis. |
| Different CXOs work from different KPI versions prepared at different times. Alignment discussions consume meeting time. | All CXOs query the same live knowledge graph. One data view. Alignment achieved before the meeting starts. |
08 ROI AND VALUE JUSTIFICATION
| Value Driver | Indicative Impact | How It Is Realised |
|---|---|---|
| Decision speed | Seconds, not analyst days | Natural language query returns cited live data answer instantly. Board question resolved in the meeting itself. |
| Analyst capacity | Freed from ad-hoc to strategic | Ad-hoc executive data requests handled by assistant. Analyst team redirected to modelling and strategic analysis. |
| Data credibility | All numbers traceable to source | Every answer cites source BI metric or ERP line item. CFO can verify any figure in real time without analyst. |
| CXO alignment | Single live data view for all | All executives query same knowledge graph. Version mismatch eliminated. Alignment achieved before meetings begin. |
| IT dependency | Zero for KPI access | Operational KPI visibility democratised. No ticket or IT involvement for dashboard access or data queries. |
09 NEXT STEPS
30-min call to map your BI stack, ERP data feed, and top 10 executive query types.
Identify CFO and CEO as primary users. Connect PowerBI or SAP Analytics Cloud for pilot.
Assistant runs live for 6 weeks. Query resolution time and analyst hours freed are tracked.
Decision speed, analyst capacity freed, and data credibility metrics measured and reported.