AI & Enterprise AI
Enterprise AI, designed for operations rather than demonstrations.
We help organizations identify where AI creates real value, design solutions that fit their architecture and guide adoption under clear governance.
Overview
From opportunity to operating capability.
Many organizations have experimented with AI. Fewer have moved beyond pilots into dependable, governed operations. The gap is rarely the technology itself; it is prioritization, data readiness, ownership and governance.
Intlex works with leadership and technical teams to build an AI portfolio grounded in business value, then provides the advisory, architecture and adoption support to move the highest-value use cases into production.
Our approach applies equally to organizations running SAP, other enterprise platforms or a combination of both.
What We Do
Enterprise AI services.
- Enterprise AI strategyDefine the vision, priorities and investment roadmap for AI across the organization.
- AI use-case discoveryStructured workshops to surface and evaluate opportunities by value, feasibility and risk.
- Generative AI advisoryAssistants, knowledge retrieval, document intelligence and content workflows.
- AI implementation advisorySolution design, platform and vendor evaluation, and delivery oversight.
- Intelligent automationCombining AI with workflow and process automation for measurable efficiency.
- AI adoption & enablementChange management, training and adoption measurement for business users.
Use Cases
AI use cases beyond SAP.
Representative opportunities we help organizations evaluate and implement on non-SAP and mixed platforms.
| Function | Use case | Business outcome |
|---|---|---|
| Customer Service | Inquiry triage and agent assistance | Faster resolution and consistent service quality |
| Legal & Procurement | Contract review and clause extraction | Reduced review time and better risk visibility |
| Knowledge Management | Enterprise knowledge assistant | Faster access to policies, procedures and expertise |
| Sales | Pipeline and revenue forecasting | More reliable planning and resource allocation |
| Human Resources | Policy and employee service assistant | Lower service load and improved employee experience |
| Operations | Document intelligence for forms and invoices | Less manual data entry and fewer errors |
Approach
How we deliver enterprise AI.
Assess
Understand business priorities, current architecture, data readiness and organizational capacity for change.
Strategize
Define a prioritized roadmap of use cases and investments with clear value, ownership and sequencing.
Design
Shape target architecture, solution approach, integration patterns and the operating model to support them.
Govern
Establish policies, controls, risk management and accountability so adoption remains responsible and sustainable.
Transform
Guide implementation, measure outcomes and scale what works across functions and regions.
Next steps
Move AI from pilot to production.
Talk with our team about building an AI portfolio your leadership can fund, govern and scale.