Our code to successful adoption of AI & ML focuses on Applied Intelligence. Your AI is only as good as the insights that drive it. With a heavy focus on analytics and automation we can deploy solutions to fully articulate your unique AI strategy and help you scale the improvements across your entire organization.

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.

End-to-End Integration

Instead of focusing on a single algorithm or tool, consider the overall business, process, or function.

Use Cases

Case Management

Customer Service

Human Capital Management

Fraud and Risk Management

Inspections and Maintenance

AI/ML Capabilities

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.

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AIOps (AI for IT Operations)

Complexity has stretched the ability of SysOps teams to understand data and respond quickly across an environment and lots of existing tools and processes are not sufficient to solve the problem as quickly as we would expect. We will help your organization apply scalable AI-powered automation that will resolve the problems below.

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

Create more value from your DevSecOps pipelines by integrating more.

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

Test

Automated testing continuously for enhanced quality

Release

security recommendations

Deploy

Change risk for incident prevention

Operate

Code scan’s for incident resolution

Monitor

Performance insights for application improvement