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Use Cases

ExCom.ai connects systems and makes data useful. Here's how organisations actually use it.


Competitive Intelligence

Problem: Competitive research takes weeks. By the time you have the data, it's outdated.

Solution: MarketWatch monitors competitors continuously — websites, financials, news, social — and delivers daily intelligence reports.

Results:

  • 90% reduction in research time
  • Daily insights instead of quarterly reports
  • First to know about competitor moves

Executive Decision Support

Problem: Leaders need answers fast, but data is scattered across systems. Getting a clear picture takes too long.

Solution: Ask questions in plain language, get answers from your actual data. "What's our margin this quarter?" "Which customers are at risk?"

Results:

  • 60% faster strategic decisions
  • No more waiting for reports
  • Decisions grounded in real data

Operations Management

Problem: Operations span multiple systems. Visibility is fragmented. Problems surface late.

Solution: End-to-end visibility across operations, finance, and delivery. KPI monitoring with automatic alerts when something needs attention.

Results:

  • 30% improvement in process efficiency
  • Early detection of issues
  • Transparent reporting for stakeholders

Customer example: A government entity reduced reporting effort by 60% through automation.


Process Automation

Problem: Business processes span systems that don't talk to each other. Manual work fills the gaps.

Solution: Context Mesh bridges systems and captures business logic as playbooks — plain-language descriptions that both executives can read and the system can execute.

Results:

  • 70% reduction in manual reporting
  • Consistent execution every time
  • Business knowledge captured, not lost

Financial Planning

Problem: Planning cycles take too long. Finance and operations see different numbers.

Solution: Live cash flow projections, budget vs. actual analysis, and AI-assisted forecasting connected directly to your ERP and accounting systems.

Results:

  • 70% reduction in planning cycle time
  • Finance and operations aligned
  • Better forecast accuracy

Team Collaboration

Problem: Analysis happens in silos. Teams email spreadsheets back and forth. Context gets lost.

Solution: Real-time collaboration where multiple people work on the same analysis. The AI remembers context across sessions.

Results:

  • 50% reduction in meeting time
  • Knowledge retained and reused
  • Teams see the same information

Customer Examples

CustomerIndustryUse CaseResult
MultipackManufacturingProduction planning50% faster planning cycles
Government EntityGovernmentPerformance tracking60% reduction in reporting
Major TelecomTelecommunicationsBSS integrationAI-powered operations

Getting Started

Typical implementation takes 3-4 weeks:

  1. Week 1-2: Assessment — understand your systems and use cases
  2. Week 2-3: Integration — connect data sources, configure the platform
  3. Week 3-4: Go-live — training, monitoring, measuring results