Automating customer and supplier master data in SAP S/4HANA
69%higher productivity in master data entry
Hyperautomation
From process discovery to the automation factory, AIOps and FinOps: a continuous, data-driven operation where every initiative is tracked by ROI and operational efficiency.
7 offerings
What we deliver in Hyperautomation
Seven offerings, one pipeline: from process mapping to governance of what is already running.
AIOps and automation architecture
Designs automation architectures and intelligent operations that connect data, events and automated decisions.
Automation with FinOps and operations
Ensures automations run with financial efficiency, cost control and continuous value creation.
Business and IT process discovery
Maps and analyzes IT and business processes with AI, pointing out automation opportunities, bottlenecks and areas for improvement.
Automation factory and orchestration
Sets up an automation factory with governance, scalability and intelligent orchestration.
Workflow governance
Implements intelligent governance for automation and operations, connecting metrics, risks and decisions in real time.
Intelligent operations and processes (ITSM)
Evolves ITSM with applied intelligence, connecting incidents, changes and operations to experience and business data.
Process transformation roadmap
Builds a structured transformation roadmap, guided by data and artificial intelligence.
How it works
How automation works, step by step
Discover
AI sees the process before any bot does
IT and business processes are mapped and analyzed to show where the bottlenecks are and what is worth automating.
Plan
A roadmap driven by data, not opinion
Opportunities become a prioritized transformation sequence, based on metrics rather than intuition.
Build
The factory builds and Prime Orquestrador executes
The automation factory delivers with governance and scale. Prime Orquestrador runs the bots and connects people, legacy systems and other assets.
Operate
AIOps, ITSM and FinOps keep operations efficient
Events and incidents connect to experience and business data, and every automation runs at a controlled cost.
Govern
Metrics, risks and decisions in view, with people in control
Every initiative is tracked by ROI and operational efficiency. Specialists oversee and approve; AI speeds things up.
Our AI platform
AI agents for Hyperautomation
Processes, AIOps and autonomous robots operating with cost and risk governance, coordinated by the Prime Orchestrator.
Prime Control AI
- AIOps
Monitored operations, with automatic incident response.
- Process automation
Autonomous bots for repetitive routines.
- FinOps governance
Automation cost and consumption under control.
- Generative AI
Generative models applied to processes, with governance.
- Prime Orquestrador
Coordinates agents and automations end to end.
Prime Control AI
AI agents in Hyperautomation
The central agent that orchestrates complex processes, connecting people, legacy systems and the other Prime assets, and runs the automation bots.
Prime Orquestradorcentral agent
Peopledecide and approve
Legacy systemsconnected without manual intervention
Prime assetsother agents and accelerators
Automation botsrun by Prime Orquestrador
Operational workflowswithout repetitive manual rework
Visibility into every stepfewer integration errors, more governance
Prime Context AIaccount memory, connected to Hyperautomation, Quality and Experience and SAP Services
- Prime Orquestradorcentral agent
- Peopledecide and approve
- Legacy systemsconnected without manual intervention
- Prime assetsother agents and accelerators
- Automation botsrun by Prime Orquestrador
- Operational workflowswithout repetitive manual rework
- Visibility into every stepfewer integration errors, more governance
- Prime Context AIaccount memory, connected to all three areas
Less manual rework, more governance and speed: Prime Orquestrador executes and specialists stay in control.
Case studies
Automation that left the drawing board and delivered results
Challenge, solution and impact from real projects in this area. Clients are not identified.
SAP ecosystem
SAP testing at scale, from hours to minutes
Challenge
Slow test execution in critical processes, dependence on several areas and on key users, unstandardized scenarios and little visibility into automated runs.
Solution
- SAP automation team and scenario review in Solution Manager
- Automation of critical processes (SD, MM, FI and CO)
- Orchestration, scheduling and management of runs, with KPIs and dashboards
Impact
Drastic reduction in critical process execution time, less manual effort and focus on strategic business scenarios.
- 88%operational efficiency, with continuous execution and real-time monitoring
- Hours → minutesin critical process execution time
Aviation
RPA CoE for an airline's ticket issuance
Challenge
Manual, slow and error-prone ticket issuance: 84 hours a month and 3 people dedicated to issuance alone in high season.
Solution
- Center of Excellence for RPA operations
- Process prioritization based on metrics
- Building, monitoring and orchestrating the entire RPA cycle, with productivity and ROI dashboards
Impact
Human effort dropped to 8 hours a month, three specialists were freed for higher-value tasks and the operation scales at peaks without new hires.
- 84 h → 8 hof human effort per month, with an RPA bot
- 90%faster ticket release
Technology
Generative AI in test scenario design
Challenge
Manual test scenario analysis and design, bottlenecks in validating specifications, and unstandardized API documentation and user stories.
Solution
- Prime Quality AI integrated with the client's Jira
- AI agents dedicated to automated BDD generation
- Team training in AI-assisted refinement
Impact
Test scenarios emerge earlier and with more coverage, and new QA and development engineers ramp up faster.
- 75%less time to create complex test scripts
- 90%increase in scenario coverage early in the cycle
Results reported by Prime Control in its corporate portfolio.
Differentiators
Why Prime Control for Hyperautomation
- 01
A continuous factory, not an isolated project
We run automation as a data-driven factory, with governance from the design stage.
- 02
ROI tracked for every initiative
Measurable operational efficiency per initiative, with productivity and time-saving dashboards.
- 03
AI in discovery, execution and governance
Prime Orquestrador runs the bots; AI shows up where it speeds things up, not as decoration.
- 04
Specialists in control of decisions
People approve, monitor and decide. Technology delivers speed and governance delivers trust.
Frequently asked questions
About Hyperautomation
Did not find what you were looking for? Talk to a specialist.
What is hyperautomation?
Hyperautomation combines process automation, artificial intelligence, AIOps and governance to turn processes into continuous, scalable capabilities, run as a data-driven factory.
Where should an automation program start?
With process discovery: mapping IT and business processes with AI support to find bottlenecks and opportunities, then building a data-prioritized transformation roadmap.
How do you measure the return on an automation?
Every initiative is tracked by ROI and operational efficiency, with productivity and time-saving dashboards. The FinOps layer tracks the cost and value of automations in operation.
How does Prime Control use AI in hyperautomation?
AI is used in process discovery and roadmapping, in orchestration (Prime Orquestrador runs the bots), in AIOps and in workflow governance, always with specialists in control of decisions.
What is Hyperautomation at Prime Control?
It is the continuous evolution of operations, combining process automation, generative AI, AIOps, autonomous bots and FinOps governance. Everything is coordinated by Prime Orquestrador, with specialists in control of decisions.
What is the difference between RPA and Hyperautomation?
RPA automates repetitive tasks. Hyperautomation connects RPA, generative AI, AIOps and integrations into end-to-end processes, with risk governance and cost control for every automation.
How do you find out what to automate?
With Business and IT Process Discovery, which uses AI to map processes, find bottlenecks and prioritize opportunities by impact and feasibility. The result becomes a roadmap with a clear ROI for each initiative.
How do you control the cost of automations?
With FinOps-based automation, which tracks cost and consumption and treats each automation as an economic asset, with value measured continuously.
Who coordinates the agents and bots?
Prime Orquestrador, from our AI platform, coordinates agents and automations end to end. Workflow Governance monitors risks in real time, and critical decisions require human approval.
Are there proven results?
Yes. At the Azul Viagens RPA CoE, high-season ticket issuance, which took up to three people, is now done by bots, with 90% fewer hours spent on the process.
Where do I start?
With Process Discovery or the Process Transformation Roadmap. In a few weeks, you know what to automate first and what return to expect.
RESULTS
Results in Hyperautomation
Projects delivered by Prime Control: the problem, what we did and the result.
Reimbursement automation with anti-fraud validation
The full monthly volume of reimbursements processed
Automated handling of ANS NIP complaints
Lower risk of regulatory fines for missed deadlines
Bring AI to your operation, with specialists in control
Talk to a specialist in Hyperautomation, Quality and Experience or SAP Services. The first conversation already comes with a diagnosis.
- Email[email protected]
- WhatsApp(11) 99710-5783