Bots + Brain
Business achieves more when we allow human creativity and judgement to take advantage of speed and scale of AI.
Cultural Change Management
Drive adoption and change across all functions and levels with the right training, tools, and processes.
Instead of focusing on a single algorithm or tool, consider the overall business, process, or function.
Human Capital Management
Fraud and Risk Management
Inspections and Maintenance
Robotics Process Automation (RPA)
RPA is an application of technology, governed by business logic and structured inputs, aimed at automating business processes. Using RPA tools, infiNetix can configure software, or a “robot,” to capture and interpret applications for processing a transaction, manipulating data, triggering responses and communicating with other digital systems.
InfiNetix’s Software as a Service (SaaS) RPA offering is built to scale the bot farm automatically to ensure we can perform any queued job with no delay.
Contact our RPA Team to setup an Evaluation of your business processes.
AIOps (AI for IT Operations)
Lack of observability due to siloed teams, tools, processes » Full visualization and observability allows operators and developers to add context, isolate and resolve the problems in real time.
Data explosion: unable to manage using manual methods » AI for IT Insights identifies necessary information at the right time, supporting DevSecOps culture and automation to scale IT impact.
Intrastate approach to IT Ops » Application-centric approach supports focus on what matters most to the business.
AI for DevSecOps
Complete observability of the application environment
Drive rapid time to value by detecting, identifying, acting on incidents with automation and proactive application management.
Closed-loop processes to enhance DevSecOps
Apply intelligence and optimize applications with data and AI across the ITOps and CI/CD pipeline by extending existing investments
Application-centric insights, recommandations, automation
Brea IT Silos and put business applications at the heart – baseline, curate, and highlight most relevant data across structured and unstructured data types without manual ‘deep-dive’ investigations