AI Operating Layer · Now in private beta
The AI Operating Layer
for the Autonomous Enterprise
Orquesta connects the systems your company already uses, builds a living operational model of your business, and turns signals into decisions and actions.
Real-time intelligence across business operations
Continuous company health monitoring
Risks identified before they impact outcomes
Reduce leadership coordination overhead by up to 60%
// architecture
Build a living operational model of your business.
Unlike dashboards that report metrics or copilots that answer questions, Orquesta continuously learns how your company operates.
Company Systems
- Salesforce
- Jira
- GitHub
- Workday
- Slack
- QuickBooks
- Calendar
→
Company Context Graph
- Teams & people
- Processes & workflows
- Signals & events
- Dependencies
→
Intelligence
- Risk detection
- Trend analysis
- Anomalies
- Scenarios
→
Actions
- Recommendations
- Briefs & decisions
- Agentic execution
- Cross-team alignment
// why dashboards fail
Metrics aren't answers. Answers aren't action.
Traditional BI shows you what happened. Copilots answer when prompted. Orquesta delivers continuous intelligence and takes action on your behalf.
Traditional BI
Shows metrics.
- Static reports
- Siloed systems
- Requires interpretation
AI Copilots
Answer questions.
- Requires prompts
- Limited context
- No memory of decisions
Orquesta
Recommends actions.
- Continuous intelligence
- Company Context Graph
- Operational memory
// leadership use cases
Built for the people who run the business.
Every executive sees the operational truth of their function — priorities, risks, and the insights driving them — without chasing data.
CEO / Founder
Whole-company truth in one place.
Top priorities
- Growth trajectory
- Cash & runway
- Strategic execution
Operational challenges
- Conflicting signals across functions
- Stale board prep
- Slow risk surfacing
Key insights generated
- Daily company health brief
- Cross-function risk roll-up
- Strategic-initiative tracking
COO
Run operations on signal, not status.
Top priorities
- Cross-functional throughput
- Risk & SLA adherence
- Operating cadence
Operational challenges
- Hidden bottlenecks
- Coordination overhead
- Process fragmentation
Key insights generated
- Process cycle-time deltas
- SLA-breach early warnings
- Capacity vs. demand
CFO
Forecast precision, on demand.
Top priorities
- Burn & runway
- Forecast accuracy
- Margin discipline
Operational challenges
- Disconnected source systems
- Late variance signals
- Manual scenario modeling
Key insights generated
- ARR / MRR / NRR live
- Pipeline-to-cash impact
- Scenario simulations
VP Engineering
Delivery and reliability, one view.
Top priorities
- Delivery velocity
- System reliability
- Capacity allocation
Operational challenges
- Roadmap-vs-incident tradeoffs
- Cross-team handoffs
- Tech-debt visibility
Key insights generated
- DORA & SLO trends
- Delivery-risk early signal
- Capacity vs. roadmap
HR
People signals before they become problems.
Top priorities
- Retention & engagement
- Hiring throughput
- DEI progress
Operational challenges
- Lagging eNPS
- Manager-level blind spots
- Hiring-funnel drag
Key insights generated
- Attrition early warning
- Hiring-funnel velocity
- Manager-effectiveness signal
Customer Success
Save accounts before they churn.
Top priorities
- NRR & renewal rate
- Customer health
- Expansion pipeline
Operational challenges
- Late churn signals
- Health-score drift
- Cross-team escalations
Key insights generated
- At-risk account list
- Renewal-likelihood model
- Expansion-trigger alerts
See the AI Operating Layer in action.
We're partnering with a small group of leadership teams who want to run on continuous intelligence. Book a working session with our team.