Accelerate Your Business with Digital Transformation

A technology and risk assessment is a comprehensive evaluation of your enterprise’s existing technology infrastructure, systems, and processes. We will provide a detailed report after completion. There are many form or assessments as described below:

• IT Infrastructure and Cloud Assessment: Evaluation of existing hardware, software, network and security infrastructure (on-premise and/or in cloud) identifying opportunities, gaps, and cost-effectiveness.
• Application Assessment: Assessment of applications to ensure they meet business needs, are compatible with current technology, integrate and automate repetitive functions, and identify redundant shadow IT.
• Treat and Vulnerability Assessment: We use the latest tools and techniques to perform thorough penetration testing, vulnerability scanning, and security audits to get a full understanding of your infrastructure and opportunities for improvement.
• Vendor Assessment: Evaluating vendors and third-party providers to ensure that they meet your requirements for security, reliability, and compliance.
• Digital Transformation Assessment: Evaluating your company’s readiness for digital transformation, including technology infrastructure, processes, and culture.
• Artificial Intelligence (AI) Readiness Assessment: Evaluating the readiness for AI implementation and identifying any gaps in capabilities or infrastructure.

A robust Enterprise Architecture is critical to build a scalable and adaptable enterprise. It involves the development of a comprehensive framework that aligns IT capabilities and resources with the organization’s business goals, and helps ensure that all technology solutions are integrated, interoperable, and in line with the enterprise’s overall strategy.

• Business Architecture: Processes and mechanisms to run a data-driven business. This includes business process management (BPM) and robotic process automation (RPA), balanced resource utilization, data driven governance and risk management.
• Application Architecture: Design and implement the right systems and processes to support your business operations. This includes technology modernization, adopting new and emerging technologies, system integration and automation, and architectural control points determined by the enterprise.
• Data Architecture: Ensures your data is properly managed, protected, and accessible, while providing real-time value with integration into the core processes. Data ingestion, data engineering and data residency are key components.
• Technology Infrastructure: Make the most of the latest tools and platforms to drive innovation and efficiency.

• Cloud strategy: We have a team with deep experience in public and private cloud infrastructure. We will review and help develop a strategy that aligns with your specific needs and goals to take advantage of cloud-based technologies.
• Cloud migration: Transform existing applications, data, and infrastructure from on-premise servers to cloud based platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
• Cloud and Data Center Architecture, Design and Security: Designing a hybrid cloud infrastructure that is optimized for performance, security, and scalability.
• Cloud and Data Center Optimization: Improve performance, reduce costs, and increase efficiency.
• Cloud FinOps: Setup a Cloud Financial Operations discipline to forecast and effectively manage your cloud spend without shocking overruns.

Artificial Intelligence (AI) and Machine Learning (ML) strategy can take many forms in an organization. Whether you are looking to take advantage of large language models (LLM) for Generative AI, leverage Predictive AI to help forecast or respond to alerts, or implement Robotic Process Automation (RPA) for greater efficacy, a goal-based AI strategy is critical.

• AI Strategy Development: Develop a comprehensive AI strategy that aligns with your organization’s goals, identifies potential use cases, and outlines a roadmap for implementation.
• Data Strategy Development: Develop a data strategy that supports your organization’s AI goals, including data collection, storage, analysis, and governance.
• Vendor Evaluation and Selection: Assessing and selecting AI vendors that align with your organization’s needs, goals, and budget.
• AI Implementation and Deployment: Supporting the implementation and deployment of AI solutions, including data integration, testing, and training.
• AI Governance and Ethics: Developing policies and procedures to ensure that AI solutions are used ethically and responsibly, and that they comply with relevant regulations and industry standards.

• Site Reliability Engineering (SRE): Develop an SRE and DevOps responsible for the reliability, availability, and performance of your production systems and processes including code repositories, CI/CD, Automation, Logging and Monitoring.
• Observability: Review and improve systems used to monitor and gather data on your production environment. Determine if there are opportunities to implement or reconfigure tools to take advantage of self-healing, predictive AI, or other automations to drastically reduce downtime.
• Incident Response Planning: Develop incident response plans tailored to your organization’s specific needs and risks, including identifying roles and responsibilities, defining escalation procedures, and outlining communication protocols.
• Incident Response Testing and Simulation: Conducting simulations and tabletop exercises to test an organization’s incident response plans and identify areas for improvement.
• Incident Management Process Improvement: Review and improve your organization’s incident management processes, including identifying opportunities for automation, streamlining communication channels, and optimizing workflows.

Yes! We can help transform current Disaster Recovery and Business Continuity Plans into actionable, measurable plans based on your business that will be realistic and tested on a regular basis. Ensure your customer SLAs like RTO and RPO are accurate. We focus on the following core areas:

• Business Impact Analysis (BIA): Assesses potential impact of a disaster on an organization’s critical business functions and identifies the resources and processes required to resume operations.
• Disaster Recovery Planning (DRP): Outlines the procedures and processes required to recover IT infrastructure, systems, and data in the event of a disaster.
• Business Continuity Planning (BCP): Outlines the procedures and processes required to maintain critical business functions during and after a disaster.
• DR/BCP Testing: Regular testing and validation of DR and BCP plans are essential to ensure they work as expected.
• Cloud Disaster Recovery Planning: Develop a cloud disaster recovery plan that addresses the unique challenges of cloud environments, including multi-tenancy, data replication, and failover.