Detect the business problems

your systems cannot see together.

Mowazi continuously monitors complex business situations across your existing systems — and tells you what matters, why it matters, and what to do next.

See the whole situation. Understand what it means. Act before the impact.

THE PROBLEM

Your systems contain the facts. The business problem exists between them.

Enterprise decisions rarely depend on a single application.

A delivery commitment may depend on operations, resources, approvals, suppliers and customer obligations. A risk may only become visible when those signals are understood together.

Dashboards & BI

Show individual metrics.

Integration platforms

Move data between systems.

AI assistants

Answer questions.

Mowazi continuously monitors the business situation itself.
HOW MOWAZI WORKS

From fragmented signals to actionable intelligence

01

Observe

Monitor the relevant signals across the systems that matter for a specific business problem.

02

Understand

Interpret signals in business context instead of treating them as isolated fields or alerts.

03

Detect

Create a structured Finding when a meaningful condition emerges.

04

Explain

Support every Finding with traceable evidence.

05

Recommend

Propose evidence-grounded next actions while keeping the final decision with the human.

UNIVERSAL USE CASE

Can we still deliver what we promised?

A business commitment may look healthy in one system while the conditions required to fulfil it are already failing elsewhere.

Example signals
Commitment due Friday
Critical operational step incomplete
Required resource unavailable
Approval still pending
Mowazi Finding

Commitment at risk

A required condition cannot be completed in time for the remaining work and approval.

Possible actions
Expedite the dependency
Use an approved alternative
Reassign resources
Renegotiate the commitment
WHY IT IS DIFFERENT

More than data integration. More than another enterprise chatbot.

Mowazi does not replace your ERP, CRM, operational systems or analytics stack. It adds a continuous intelligence layer around recurring business situations that already span those systems.

What makes it different
Focused on real business problems, not generic data access
Continuously running instead of waiting for a user question
Context-aware across multiple systems
Evidence-backed and traceable
Designed for human decisions, not autonomous black-box actions
Reusable Intelligence Services rather than one-off analysis projects
CORE CAPABILITIES

Built for continuous business intelligence

Continuous Monitoring

Track business situations before they become visible in individual reports.

Cross-System Context

Understand how signals from different systems relate to the same business situation.

Evidence-Backed Findings

Know exactly why a Finding was created and which evidence supports it.

Change Awareness

Recognize when source systems, interfaces or business meanings change in ways that may affect intelligence.

Decision Support

Move from detection to grounded resolution options.

Outcome Learning

Track what was decided and what happened afterwards to improve future recommendations.

What recurring business problemcan no single system explain?

We are currently working with design partners to identify high-value Intelligence Services for real enterprise environments.