AI Can Only Be as Good as the Context you Provide it
From fragmented enterprise data to AI-ready context
Systems hold the data
CMDB, architecture, operations, monitoring, risk, cost.
Context goes missing
Ownership, dependencies and business meaning stay scattered.App 360 connects it
One connected view around every application.
AI reasons with context
Decisions are grounded in your real landscape.
Your Enterprise has the systems. App 360 brings the context
Your systems stay the source of record
Configuration
CMDBs, IT asset and configuration systems
Architecture
Enterprise architecture and application repositories
Operations
ITSM, incidents, changes and operational data
Observability
Performance, availability and monitoring
Risk & Security
Risk, vulnerability and security platforms
Portfolio
Programs, projects, investment and transformation
Cost
Application, technology and IT financial data
People & Business
Ownership, organization and business capability
One Application
One Connected View
Bring every relevant perspective together around the application

See the Enterprise. Then See the Application.
Drill from the highest level of the landscape to a single application.
Value Chain
Understand where technology supports the flow of business value.
Capability
See the applications supporting each capability.
Capability map Supporting appsPlatform
Understand the technology platforms behind those applications.
Application
Open the application and its associated configuration items.
Application CIRelated CIs
360° context
Everything known about the application in one place.
From Visibility to Intelligence
Where Your Time Actually Goes
01
Visibility
What do we have?
Discover applications, sites, platforms, infrastructure, ownership and dependencies. 02
Maturity
How is it doing?
Application and site maturity, technology lifecycle, operational health and landscape quality. 03
Priority
What matters now?
Business importance, risk, cost, exposure and transformation priorities combined.Turn Enterprise Context Into Better Decisions
Identify applications to retain, modernize, transform or retire.
See application and infrastructure dependencies before making changes.
Connect applications to the teams and people responsible.
Understand investment in the context of the landscape.
See how architecture decisions relate to what is running.
Put risk in context of the applications, sites and capabilities affected.
Give AI-assisted analysis a current, connected foundation.
AI-Ready. Context-Aware. Enterprise-Ready.
AI should reason over your enterprise context, not isolated data.
Decision support
The relevant context in one place.
Scenario analysis
Impact across applications and dependencies.
Pattern detection
Relationships, gaps and signals across the landscape.
Modernization intelligence
Surface what warrants deeper review.
Natural-language exploration
Ask questions about the landscape.
From One Workstream to the Whole Picture
Start with the problem that matters

A Living Landscape. Not a Static Report.
Keep the landscape accurate, governed and actionable.
1
Discover
Connect to existing systems and see what is actually there.
2
Document
Create one coherent application and technology picture.
3
Activate
Turn the context into analysis, workflows and decisions.
4
Govern/Act
Keep the landscape current, trusted and usable.
Why Kondana
Application intelligence built by architects.
Enterprise aware
Works across your existing systems and teams.
Incremental
Start with one workstream, expand as needed.
Architecture led
Applications seen with capabilities and dependencies.
Built to operate
Processes that keep the landscape useful.
AI-ready by design
Trusted context for AI-assisted analysis.
Your Enterprise Is Already Connected. You Just Can't See It Yet.
Connect the data. Understand the landscape. Make the next decision with context.
