Coordinate monitoring, analysis, recommendation, routing, and resolution as one operating system.
Decision intelligence
Agentic BI Platform
AI-assisted business intelligence that monitors KPIs, investigates changes and recommends next steps for your team to review, assign and track.
Agentic BI PlatformAgentic BI Platform built for OneMetric. Screens shown with demo data.
In production with OneMetric
Claude-powered business intelligence at OneMetric.
The Agentic BI Platform is deployed in production and supports OneMetric’s ongoing business intelligence and analytics workflows.
Claude by Anthropic is used in production to turn business data and analytical findings into contextual insights, explanations, and decision-ready outputs.
- ~85% fasterInsight generation
- ~80% lessManual analysis
- Hours → minutesExecutive reporting
Results from the OneMetric engagement, not a guarantee for every deployment.
…always thought about the bigger workflow, not just individual features.
“Working with the Nebula9 team on our Agentic BI initiative has been a great experience. They took the time to understand how we actually use our data rather than simply building to the initial requirements.
The solution has made it much easier to explore data, spot anomalies, understand what’s driving them, and turn insights into action. The team was proactive throughout and always thought about the bigger workflow, not just individual features.”
Saurabh KumarProduct Manager, OneMetricProduct tour
See it in action.
Screens from the Agentic BI Platform, shown with demo data.
Core capabilities
What Nebula9 builds into this solution.
Each solution combines the capabilities, integrations, controls, and operating design needed for the workflow.
Detect trends, risks, and opportunities before thresholds are breached.
Identify unusual patterns using business context, not only raw statistical thresholds.
Turn a KPI change into a short explanation with the supporting data and a proposed next step.
Compare possible actions, their assumptions, and the evidence before an accountable person chooses the next step.
Keep an owner, due date, status, and closure note attached to each accepted insight.
Connect the systems where the work already happens.
Nebula9 maps source quality, permissions, refresh cadence, and review ownership before scaling the workflow.
ERP systemsCRM platformsData warehousesOperational databasesAPIsExcel and CSV filesIoT streamsFinance systems
Illustrative examples
How the workflow could fit different teams.
These are example applications, not claims of completed client deployments. Data sources, automation boundaries, and success measures are agreed for each implementation.
Detects deteriorating production KPIs, explains drivers, and routes corrective action to the accountable owner.
Monitors store, inventory, and campaign performance to surface exceptions before they become missed targets.
Tracks portfolio, risk, customer, and operations signals with commentary executives can act on.
What the first useful output could look like.
This example explains the proposed workflow, not a measured client result or a promise of a prebuilt integration.
- Starting point
- A revenue KPI moves outside its agreed range.
- Output to evaluate
- An insight brief links the changed metric, possible drivers, and a proposed follow-up task.
- Human decision
- The KPI owner checks the data and accepts, changes, or rejects the task.
Confirm sources, permissions, supported integrations, test cases, and acceptance criteria during scoping.
Workflow architecture
Design the solution as an operating workflow, not a standalone AI tool.
AI-assisted business intelligence that monitors KPIs, investigates changes and recommends next steps for your team to review, assign and track.
Trigger and workflow
Define the event, user, queue, decision, or operating cadence that makes the solution valuable.
Data and intelligence
Connect trusted systems, documents, metrics, context, and retrieval paths behind the workflow.
Human review and governance
Add approvals, escalation, policy checks, access control, and audit evidence where needed.
Action and measurement
Route the result into work queues, apps, reports, service actions, or operating reviews.
EvoPort fit
Use EvoPort when this solution must be governed, repeated, and operated.
EvoPort supports reusable apps, specialist agents, approvals, audit trails, workflow execution, observability, and rollout controls after Nebula9 designs the operating model.
Explore EvoPort.ai- Apps and specialist agents tied to the workflow.
- Approvals, access, review gates, and audit history.
- Operational visibility, exceptions, and support cadence.
- Reusable rollout patterns across teams or industries.
Outcome measures to validate
Set the baseline before measuring change.
These are candidate measures, not reported client results. Agree the baseline, calculation, owner, and review period during discovery.
Decision path
Choose the right starting point for your team.
Start Agentic BI Platform with the smallest useful workflow. Use the readiness scorecard to identify missing data, ownership, or controls before choosing a build or platform rollout.
Clarify business value, owner, data boundaries, review gates, success measures, and the smallest responsible first release.
Build the app, AI assistant, automation, analytics dashboard, integration or research workflow with safeguards built in.
Move to EvoPort when the solution needs reusable apps, agents, approvals, observability, audit history, and rollout control.
Define support, quality review, exception handling, release cadence, value tracking, and backlog ownership after launch.
FAQ
Common questions
How does this fit with our existing tools?
It connects KPI monitoring, investigation and reviewed follow-up to reduce manual analysis. We assess how it works with your existing data sources and reporting tools during scoping.
Does every implementation require EvoPort?
No. Nebula9 uses EvoPort when the solution needs reusable apps, agents, approvals, observability, audit history, and repeatable rollout control.
What is the best starting point?
Start with one workflow that has clear value, known users, accessible data, review ownership, and a measurable production outcome.
Who should join the first workshop?
The business owner, process owner, technology or data owner, and any risk, compliance, or operations stakeholder who controls adoption.
Enterprise readiness
Security, governance, and procurement questions have a clear review path.
Start with the public security hub, then request the legal and technical material needed for your procurement review.
Review security postureUse the security hub to review hosting, analytics consent, data handling boundaries, and procurement questions before a formal engagement.
Nebula9 scopes workflows around access, approvals, evidence, auditability, human review, and operating ownership.
Where EvoPort is used, the platform fit conversation covers permissions, approvals, observability, audit history, and deployment model.
Formal pricing, DPA, product terms, and security questionnaires are handled through the workshop and procurement review path.
Next step
Book AI Adoption WorkshopMap the first workflow for Agentic BI Platform.
Use the workshop to define users, systems, data, review gates, platform fit, operating owner, and measurable production outcome.