Unlocking the Full Potential with/off AI

AI governance strategy

Align strategy with intended business outcomes and technology. Encode policies into business rules and transparent reporting mechanisms to establish intentional clarity.

Organizational frameworks

Establish AI ethics boards, COEs, iterative training, and communications strategies to operationalize Northstar principles. Establish a structure for accountability. Ensure diversity in model selection, training, deployment, and monitoring.

Multi-model AI governance

Implement and scale multi-model AI solutions via enterprise platforms and applications to drive outcomes. Instrument guardrails to help ensure explainability, fairness, and transparency in all AI implementations underpinned by watsonx.governance.

Regulatory & risk advisory

Establish an AI risk management framework to ensure compliance with existing and upcoming laws.  Provide guidance on emerging cybersecurity threats and safeguards against them.

Data risk assessment

Enable data collection and transparent reporting to make needed information available to all stakeholders. 

Security services

The potential for AI to bolster the cybersecurity of our critical infrastructure is enormous. Together, we can ensure safe and secure deployment of AI.

Data strategy 

Design the right data and analytics strategy to support your enterprise goals, harnessing your data for all your use cases, including artificial intelligence, analytics, and other digital uses.

Data architecture 

Become a data-driven organization and put your data to work with a data fabric architecture. Provide users access to the right trusted data at the right time regardless of where it resides, while minimizing cost.

Data modernization  

Transform your data on any platform in order to improve business processes and make better decisions. Our consultants can meet you where you are, with expertise on AWS, Databricks, Microsoft, Salesforce, Snowflake, and more

AI and advanced analytics

Empower your organization with the latest advances in artificial intelligence, machine learning and automation to support the full data science lifecycle, from prepping and exploring data to building, deploying, managing and monitoring models.

Data governance

Large volumes of data boost profitability but can quickly become complex without the proper data governance policies. Set a data management strategy by leveraging business intelligence so you can improve your data quality and make better decisions for your business. 

Data product maintenance

Move away from expensive, monolithic data warehouses to manageable and reusable data products for the multiple use cases needed to keep your organization ahead of the curve

Design and deploy agentic AI apps

We don’t just build AI models and agents. We deliver agentic apps that seamlessly integrate user experience, autonomous process execution and AI-powered data products to drive real business outcomes.

Enterprise scale transformation

Achieve scalable impact across all areas of your business, including customer service, finance, procurement, HR and others, with our strategic partnerships, industry-leading  AI platform and assets. These services are all available while ensuring enterprise-grade AI governance, control and value measurement from the start.

End-to-end AI execution

Transform entire processes—from generative AI to user experience to workflows and data—by using agentic apps to deliver higher automation, lower costs and faster, smarter decisions across the full process.

Many businesses already use application performance management (APM) solutions for monitoring.

Application resource management (ARM) solutions  allocate resources to applications in these dynamic  environments, helping ensure that the supply of IT  resources can meet the demand for optimal application performance.

AIOps bringing  APM and ARM together to address performance  issues before they impact users. 

Every business wants to save time and reduce  costs, using resources as efficiently as possible  while delivering exceptional customer experiences 

With the rise of cloud-based applications,  the modern IT environment has become more  operationally complex, with faster application  development lifecycles and complicated interdependencies between applications, services and  their underlying containers, virtual machines (VMs),  cloud resources, servers, storage and networking 

Automation is the endgame that helps eliminate  the resource problems that cause inconsistent  application performance