See how your organization operates with the data you already have.
Reach first insights in weeks, not quarters, without replacing your systems or launching a separate IT project.
First insights in weeks, not quarters. Regular reviews follow.
First, leaders define the decision and shape a model of how the organization works. We then connect the minimum useful evidence. Leaders review that evidence on a schedule the business can sustain and check what changed after each decision.
Each review produces a recorded decision and a result to check.
Visibility
Define the context, shape the model, and connect enough evidence to observe the work.
Review cycle
Use the company model in regular reviews. Record each decision, then check its result at the next review.
Start with the decision. Shape the model around it.
The ontology records the objects, relationships, and authority in your organization. Empowered Intelligence prepares a draft from leader context, and domain experts review every part before approval.
The approved model defines each object, its attributes, and its relationships.
How modeling works
Name the decision
A leader identifies the question, process, and decision that matter first.
Shape the ontology
Empowered Intelligence drafts the objects, attributes, relationships, authority, and flows in business language.
Choose the evidence
The team identifies the minimum sources needed to support that decision.
You approve
Domain experts review the model before it becomes the basis for ongoing decisions.
Why this matters
Shared understanding
Teams use the same definitions for terms such as client, project, and invoice.
AI context
The ontology gives Empowered Intelligence the definitions it needs to interpret your questions.
Current definitions
When the organization changes, update the ontology so the company model uses the revised structure.
Connect only the evidence you need first.
Empowered Intelligence can connect to data in your ERP, CRM, databases, and spreadsheets. Start with the sources needed for the first decision; the rest can wait.
Your team keeps its existing tools and working methods.
What we connect
How connection works
Authenticate
OAuth or secure credentials. No code required.
Select data
Choose which tables, objects, or fields to sync.
Configure sync
Set the frequency to real-time CDC, hourly, or daily.
Validate
We check data quality and completeness.
What stays in place
- Data remains in its current systems
- Existing schemas remain intact
- The connection does not require a separate IT project
- A separate consulting team is not required
Your company model goes live.
Current data fills the approved ontology. Ask a question in plain language and Empowered Intelligence answers from the records in the company model.
Each answer stays linked to the underlying data.
Ask questions
- Which projects are over budget?
- How long does client onboarding take on average?
- Show me all invoices stuck in approval.
Track KPIs
Describe the metric in business language. Empowered Intelligence drafts a calculation for your approval.
Describe
Say what you want to measure, in business language.
Draft the calculation
Empowered Intelligence proposes a calculation method.
See results
Run it on real data from the company model.
Approve or refine
Lock it in, or adjust until it is right.
Define processes
Save a lens for each workflow your team wants to track.
Empowered Intelligence calculates approved KPIs daily or weekly. The history shows when a process starts moving away from its target.
Build a reliable decision rhythm.
At each review, leaders use current data from the company model, record the decision, and assign an owner. The next review checks the result against the target.
Use the plan, do, check, act loop at a frequency the business can sustain.
Repeated reviews show whether decisions improve the process over a quarter.
Set the rhythm
Choose how often to evaluate each process: daily, weekly, every two weeks, or monthly. Assign an owner to each review.
Review current data
Use the company model during the review so everyone works from the same numbers.
Check the result
Record the decision and its reason. At the next review, compare the result with the target.
From signup to first insights.
First insights arrive in weeks, not quarters. After launch, add sources and update the model as the organization changes.
Context
Define the first decision, its owner, the process, and the review rhythm.
Ontology
Shape the business model and have domain experts approve its meaning.
Evidence
Connect and validate the minimum useful sources for the first decision.
Activation
Define initial processes, create KPIs, train users, go live.
Evolution
Add sources and update the ontology as new processes need to be tracked.
Keep the model current after launch.
Add more data sources
Start with critical systems. Expand as needed.
Refine the ontology
Update definitions and relationships when the organization changes.
Build new processes
Define new lenses and KPIs as questions emerge.
Add advanced analysis
Add anomaly detection and predictive insights after teams are comfortable querying the company model.
The architecture behind it.
The four layers, how Empowered Intelligence connects to your systems, the security controls and the technical stack. Written for the people who will run it.
The system has four connected layers.
Integration supplies source data. The ontology gives that data meaning, the twin records its current state, and the presentation layer makes it usable for action.
If one layer is missing, the results become unreliable.
Connect your existing systems without moving the data.
Your data stays in the ERP, CRM, databases, spreadsheets, and project tools you already use. Empowered Intelligence connects to those systems where they are.
- Enterprise systems: ERP, CRM, HRIS
- Databases: PostgreSQL, MySQL, BigQuery
- Business tools: Salesforce, HubSpot, Jira
- Custom APIs and internal systems
- Sync with configurable frequency
- Data validation and quality checks
- Empowered Intelligence maps to your schema without a migration
- Clear audit trail of every data movement
Empowered Intelligence creates one consistent data layer across connected systems.
Each metric includes its source.
The structured vocabulary that defines your organization.
AI needs a clear model of your business. The ontology defines which objects exist, how they relate, and how they move through each process.
| Element | Description | Example |
|---|---|---|
| Entities | The things that exist in your organization | Invoice, Client, Employee, Project |
| Attributes | Properties of each object | Amount, status, due date, owner |
| Relationships | How objects connect | Invoice belongs to Client, assigned to Employee |
| Processes | How objects move through states | Draft to verified to sent to paid |
- AI reviews schemas, sample data, and existing documentation
- It proposes the objects and relationships in the model
- You review the model and apply your domain knowledge
- Empowered Intelligence builds the knowledge graph from the approved ontology
- A shared vocabulary for your data and AI
- Consistent definitions across different systems
- Automatic updates after each sync
- Defined inputs for KPIs, analysis, and AI capabilities
A living model of your organization.
The ontology defines the structure. The company model fills it with current data about the objects, relationships, and events in your organization.
The company model records what happened without adding interpretation.
See the business through the processes you define.
The presentation layer turns digital-twin data into views built around the questions your team needs to answer.
A lens defines which part of the organization to view and how to measure it.
| Lens type | What it measures | Example |
|---|---|---|
| Flow process | Objects moving through states | Invoice: draft to verified to paid |
| Activity process | Aggregated activities + correlation | Meetings compared with sales conversion |
| Goal-based process | Defined target + metrics + horizon | Increase retention by 10% in Q2 |
- Describe what you want to measure in business language
- AI proposes a calculation method and query
- See results on real data
- Approve or iterate
Business users can define a KPI and inspect the calculation behind each number.
Use the model to spot issues and act.
The action layer uses the ontology and current company data to answer questions and guide action. Each result can be traced to its source.
Anomaly detection
Get notified when a metric moves outside its expected range.
Predictive insights
Model "what if" scenarios before committing resources.
Process recommendations
Recommendations use measured bottleneck data.
Natural language queries
Ask for invoices stuck in verification for more than five days and get the matching records.
Alerts & notifications
Receive alerts for the metrics and events you choose.
General AI tools do not know how your company defines its objects and processes. Empowered Intelligence supplies that context from the ontology and knowledge graph.
- The ontology supplies your organization's vocabulary
- The knowledge graph supplies the current state of the organization
- Each answer can be traced to source data
- Each answer includes reasoning you can inspect and question
How Empowered Intelligence connects your systems.
Empowered Intelligence cleans and maps source data before storing it in the company model. Process views and the AI assistant use the same model.
Measure each process according to how it works.
Flow process
Track objects moving through defined states.
Invoice counts by stage, time in stage, and handling time by owner.
Activity process
Correlate activities with outcomes.
The relationship between client engagement, revenue, and specific sales activities.
Goal-based process
Set targets and track progress.
Progress against the target, including drivers and blockers.
Security controls for enterprise deployment.
Data security
- Encrypted at rest and in transit
- Regular audits & penetration testing
Access control
- SSO support (SAML, OIDC)
- Role-based access control
- Audit logs for all data access
Data privacy
- Your data stays yours
- Clear data processing agreements
- GDPR-compliant data handling
Deployment options
- Cloud, managed by EmpoweredHouse
- Private cloud in your infrastructure
- Hybrid with sensitive data on premises
Technical stack and performance targets.
| Component | Technology | Notes |
|---|---|---|
| Supported ingestion | Airbyte | Optional path with 300+ connectors |
| Supported transformation | dbt | Optional, version-controlled, tested |
| Supported warehouse | BigQuery | Used when the evidence path requires it |
| Graph database | Neo4j | ACID compliant and optimized for graph queries |
| AI / LLM | OpenAI / Anthropic | Supports multiple model providers |
| API | REST + GraphQL | Programmatic access to Empowered Intelligence data |
Answers for teams evaluating Empowered Intelligence.
How long does implementation take?
First insights take weeks, not quarters. We begin with the processes that matter most to your team, then add more.
Do we need to change our existing systems?
Your systems and schemas stay in place. Empowered Intelligence connects to them without a migration or separate IT project.
What if our data is messy?
Messy data is common. We flag quality issues during connection, then use the ontology to give records consistent definitions.
Who needs to be involved?
A sponsor, a domain expert, and someone who can grant data access. No dedicated IT team required.
What about security?
Data is encrypted at rest and in transit, access is role-based, and your data stays yours.
Can we start small?
Yes. Start with two or three data sources and one or two processes. Add more after the first results are useful.
What if the AI-proposed ontology is wrong?
Every proposed ontology requires your approval. Your team can rename, remove, or reconnect elements until the model matches the organization.
How is this different from BI tools?
BI tools present dashboards. Empowered Intelligence maintains a model of the organization that you can query in plain language.
See Empowered Intelligence on your systems.
In a working session, we will map the systems you use and show how Empowered Intelligence would model your organization with your data.