Intlex Technologies works with leadership teams on AI strategy and governance, enterprise AI, SAP and data. We are paid for advice and delivery only, never for software, so our recommendations follow your requirements.
Four sectors in depth, where regulation shapes much of what AI is allowed to do, and three more where the same methods, governance and architecture apply.
Providers, payers, pharmaceutical and medical device companies hold some of the most sensitive data there is, under close regulatory oversight.
How we work in healthcare and life sciences
Manufacturers run on planning accuracy, quality and asset uptime, usually with SAP at the core and plant, quality and supplier systems around it.
How we work in manufacturing
Banks, insurers and asset managers already manage model risk formally. AI has to fit that discipline.
How we work in financial services
Retailers and consumer brands compete on availability, price and customer experience, on thin margins.
How we work in retail and consumer
Utilities and energy companies manage long-lived physical assets under regulatory reporting obligations.
How we work in energy and utilities
Logistics businesses live on utilization, visibility and the speed of exceptions.
How we work in logistics and distribution
Public bodies handle large volumes of cases and documents, with high expectations of transparency.
How we work in public sectorIntlex Technologies is a consulting firm headquartered in the United States. Decisions about enterprise AI and SAP are expensive to get wrong and hard to reverse, and too often the advice behind them comes from organizations with a platform, a licence or a large delivery program to sell.
We work differently. Senior people with SAP, data and AI experience, paid only for advice and delivery, plan across SAP and the rest of the landscape. Four practices, strategy and governance, enterprise AI, SAP and enterprise technology, and data, analytics and transformation, are staffed as one team, with a named senior lead on every engagement. We would rather do a few things very well than claim to do everything.
From a first readiness assessment to a capability running in production, the same team owns the work.
AI Governance & RiskDecision rights, risk tiers and regulatory readiness.Explore service 
Enterprise AI DeliveryFrom use case to reliable production.Explore service 
Generative AI SolutionsAssistants, document intelligence and agent support.Explore service 
SAP Business AI & JouleAI inside the SAP processes you already run.Explore service 
S/4HANA & SAP BTPReadiness, extension and integration.Explore service 
Data & AnalyticsSAP and non-SAP data, reporting on shared definitions.Explore service 
Transformation & Operating ModelProcess, organization and value tracking.Explore service 
Strategy and governance, enterprise AI, SAP and enterprise technology, and data, analytics and transformation, with a named senior lead on every engagement.
Strategy & governance
Enterprise AI
SAP & enterprise technology
Data, analytics & transformation
Most engagements combine two or three services. If you are not sure where to start, a readiness assessment of four to six weeks is the usual first step.
What we put in writing: four commitments that are contract terms, not marketing.
We take no software resale margins, referral fees or vendor commissions. Platform recommendations follow your requirements, and that is written into our master services agreement.
The person who scopes the work leads it. Clients know who is accountable for their engagement before it starts.
Scope, deliverables, acceptance criteria and success measures are written into the statement of work, so progress is measured against something both sides agreed.
Deliverables, models and code belong to you, and we build your team's capability as we go, so the knowledge stays when we leave.
Agree priorities, investment and sequencing with leadership. Output: a roadmap and business cases.
Set decision rights, risk tiers and policy before initiatives scale. Output: a governance framework.
Design the target landscape across SAP and other platforms. Output: target architecture and standards.
Build, or oversee the build, with the organizational change it needs. Output: a working capability in production.
Measure results against the business case; keep what works, stop what doesn't. Output: a value report and next-phase plan.
Strategy & Governance
Settle governance early, and low-risk tools stop waiting in line behind high-risk ones.
SAP & Enterprise Technology
Sequencing AI investment around business processes, data readiness and the SAP platform already in place.
Enterprise AI
The ownership, data and measurement decisions that separate a demonstration from a production capability.
Data, Analytics & Transformation
Shared definitions and governed integration give leadership one version of the numbers.
Strategy & Governance
Selecting use cases by value, feasibility and risk produces a portfolio leadership can fund and defend.
Choose the topic closest to your question. A senior advisor from the relevant practice replies within two business days.