Artificial intelligence
Artificial intelligence: copilots and use cases with SAP, Microsoft, and AWS.
Enterprise AI consulting: strategy, use cases, and governance with SAP Joule, Microsoft 365 Copilot, and AWS AI services such as Amazon Bedrock.
AI use case portfolioReadiness and governance before the pilot
- Contract summaries82%
- Demand forecasting74%
- Policy assistant68%
- Ticket triage51%
- Data classifiedDone
- Permissions reviewedDone
- Human review definedIn progress
- Risks assessedWith caveats
- SAP, Microsoft, and AWS, chosen to fit the use case
- 3 platforms
- SAP's generative AI copilot built into SAP solutions
- Joule
- free assessment to prioritize use cases
- 30 min
Overview
AI with a business purpose, trusted data, and governance.
Artificial intelligence delivers results when it sits close to the data and processes that run your business. That is why we combine three fronts: Joule, SAP's generative AI copilot, inside SAP systems; Microsoft 365 Copilot in Word, Excel, Outlook, and Teams; and Amazon Bedrock and Amazon SageMaker for custom solutions on AWS.
Grupo Intelsis starts with the business problem, not the model. In a free 30-minute assessment, we prioritize use cases by value and feasibility, check data readiness, and design a pilot with clear KPIs before scaling.
As an SAP Gold Partner, AWS Partner, and Microsoft Partner, we choose the platform to fit the use case, not the other way around. Every delivery includes security, permissions, human review of sensitive decisions, and ongoing measurement of results.
Highlights
- SAP Joule in finance, HR, and operations processes
- Microsoft 365 Copilot with data and permissions in check
- Generative and predictive AI with Amazon Bedrock and SageMaker
- Use cases prioritized by value and feasibility
- Governance, security, and human review from the pilot
Why Grupo Intelsis
The right platform for each case. Results measured from the pilot.
We bring SAP consulting, multicloud experience, and governance discipline together on one team.
SAP, Microsoft, and AWS in one partner
As an SAP Gold Partner, AWS Partner, and Microsoft Partner, we recommend the platform that fits the use case, with no tool bias.
AI close to your SAP data
We know SAP processes and master data, where the information that makes AI answers useful and reliable actually lives.
Value before technology
Every use case starts with a problem, a success metric, and a business owner, not with the choice of model.
Governance and security
Data classification, permissions, human review, and monitoring defined with IT, legal, and compliance from the pilot onward.
Focus areas
From strategy to AI in production.
We combine AI embedded in the applications you already use with custom solutions when the case calls for it.
AI strategy and roadmap
Opportunity mapping, prioritization by value and feasibility, a reference architecture, and a roadmap delivered in waves.
SAP Joule
Adoption of SAP's copilot for queries, content generation, and tasks grounded in real finance, HR, and operations data.
Microsoft 365 Copilot
Permissions and data prepared in Microsoft 365, use cases by team, and adoption in Word, Excel, PowerPoint, Outlook, and Teams.
Generative AI on AWS
Custom assistants and applications built on Amazon Bedrock, connected to company documents and systems with access control.
Predictive models
Demand, inventory, pricing, and risk forecasting with Amazon SageMaker, based on historical data from SAP and other sources.
Search across internal documents
Answers grounded in company policies, contracts, and manuals, with the sources shown so people can verify them.
Data readiness
Assessment of data quality, access, and classification, with integration into SAP and your existing data platforms.
Governance and responsible use
Usage policies, human review, answer traceability, cost control, and continuous quality monitoring.
AI by platform
Four platforms, each for a different kind of question.
You don't have to pick just one. The decision starts from the use case, the data involved, and where people work.
SAP Joule
AI inside SAP processes
How can people query and act on SAP data in natural language?
- Queries on operational data
- Content generation and summaries
- Finance, HR, and operations tasks
- Context from real business data
Microsoft 365 Copilot
Everyday productivity
How do you cut the time spent on documents, email, and meetings?
- Meeting summaries in Teams
- Drafts in Word and Outlook
- Analysis in Excel
- Secure access via Microsoft Graph
Amazon Bedrock
Generative assistants and apps
How do you build an assistant that knows your company?
- Chatbots for customers and employees
- Search across internal documents
- Choice of foundation models
- Access and content controls
Amazon SageMaker
Custom predictive models
How do you anticipate demand, inventory, pricing, or risk?
- Demand and inventory forecasting
- Price optimization
- Anomaly detection
- Model training and monitoring
Reference architecture
From data to decision, in five building blocks.
Useful AI depends less on the model and more on everything around it.
Data and context
SAP data, documents, and business systems with defined quality, classification, and permissions.
AI platforms
Joule in SAP applications, Microsoft 365 Copilot for productivity, and Amazon Bedrock or SageMaker for custom solutions.
Embedded in the process
Answers arrive where work happens: in SAP Fiori, in Teams, in a portal, or in an automated workflow.
Human oversight
People approve sensitive decisions, correct answers, and drive the continuous improvement of each use case.
Governance and measurement
Security, cost, answer quality, and business KPIs tracked from the pilot onward.
How we deliver
From assessment to use cases at scale.
Free assessment
In 30 minutes, we review goals, data, and constraints and point to the use cases with the most potential.
Pilot co-design
Use case, platform, data, success metrics, and human review rules defined together with your teams.
Pilot in short iterations
Built with frequent user validation, answer quality testing, and a supported go-live.
Scale and evolve
Hypercare, adoption, cost and quality monitoring, and new use cases prioritized on the roadmap.
Frequently asked questions
Questions about Artificial intelligence
Where should a company start with artificial intelligence?
With a business problem that has an owner, available data, and a clear metric. In the free 30-minute assessment, we map opportunities, prioritize them by value and feasibility, and propose a pilot you can measure before committing to a larger investment.
How do SAP Joule, Microsoft 365 Copilot, and AWS AI services differ?
Joule is SAP's generative AI copilot and works with the context of SAP processes and data. Microsoft 365 Copilot works in Word, Excel, PowerPoint, Outlook, and Teams. On AWS, Amazon Bedrock and Amazon SageMaker power custom solutions, from generative assistants to predictive models.
Is company data protected when we use generative AI?
Protection starts at the design stage. We review permissions and data classification before the pilot because Microsoft 365 Copilot, for example, respects the access each user already has. In custom solutions, we define access controls, usage logging, and human review for sensitive decisions.
How does AI relate to process automation?
They complement each other. AI interprets documents, classifies requests, and suggests decisions; automation carries out the steps in your systems. In the SAP ecosystem, we pair AI use cases with SAP Build Process Automation so decisions turn into traceable actions.
Do you offer ready-to-use AI solutions?
Yes, as a starting point. One example is Predict AI, developed by TMS and sold by Grupo Intelsis in Chile, which applies AI to demand forecasting, inventory management, and pricing. We assess the fit with your scenario before recommending a packaged or custom solution.
Keep exploring
Solutions that connect.
Next step
Which business decision could AI speed up first?
Book the free 30-minute assessment and leave with prioritized use cases and a clear path to your first pilot.