XALT is now an Atlassian Gold Partner in the USA. Global Platinum expertise meets local Gold expertise.
What Enterprise AI actually does
Studies show: AI-supported assistance reduces the effort required for typical knowledge work - such as research, summaries or text work - by up to 40%. At the same time, the quality of results increases by around 15-20%.
effect in everyday life:
Employees spend less time preparing and searching - and more time making decisions, coordinating and adding value.
In operational environments such as service, IT operations or engineering, there is a clear effect: with AI-Edit support teams more cases per hour - with the same or better quality.
effect in everyday life:
Fewer queries, clearer assessments, faster response times - without any additional workload for the teams.
In customer and IT service AI-supported pre-qualification, knowledge access and answer suggestions 30-50% of the requests partially or fully automated. Service costs are reduced by about 20%.
effect in everyday life:
Teams concentrate on complex cases, while standard issues are reliably dealt with in the background.
Crucial for productive use: Enterprise AI remains controllable. Access is clearly regulated, results are traceable and costs are transparent.
effect in everyday life:
AI can be expanded step by step - without risks or loss of control.
Enterprise AI often results from a combination of AI functions from existing platforms and individually developed modules that are tailored to specific processes.
Many of these solutions started out as simple AI-experiments or through vibe coding. Enterprise AI is created where these solutions are integrated, regulated and operated on a permanent basis.
1: Elevate - Create clarity
Focus on processes with real leverage
Clear goals, KPIs and scope
Data access, security and compliance clarified from the outset
Results: A prioritized use case with measurable benefits.
2: Execute - Integrate productively
Integration into existing systems and workflows
Clear roles, authorizations and traceability
Monitoring of utilization, quality and costs
Results: Stable operation instead of isolated solutions.
3: Empower - controlled scaling
Reusable standards and clear ownership
Expansion to other use cases without new silos
Results: Enterprise AI grows safely and manageably.
We accompany and support our customers as experienced project co-pilots from the beginning of their journey until they have safely and successfully reached their stated goals.