TechHans AI works with business on AI Strategy covering AI Infrastructure with Cloud Computing assessment, Business Data with Structured/Unstructured Data management, Business Function for Process/Workflows automation and AI Application on SaaS or Custom App development.

TechHans AI applies Design Thinking for AI Consulting Services and design thinking is applicable no matter what is your industry/sector or business function. Desirability covers What makes sense to business user from AI Perspective? What do they need? Feasibility is about What is technically feasible AI Solution? Whether to Buy, Build or Blend AI and then Viability looks at What is sustainable business model for AI Adoption? e.g. What is expected AI Product or AI Solution lifecycle?

TechHans AI Agile Sprint involves various stages and is mostly 2-Week Sprint which can vary based on scope of business problem and it is iterative in nature. Discover step helps explore the business problem, Define step helps understand the business problem, Design step helps describe the business problem, Develop step helps arrive at solution for the business problem and Deliver step is about deploying the right solution for business problem.

TechHans AI Pilot Project is excellent way to validate approach and gather insights before scaling up via Scope Definition, Team & Environment Setup, Develop & Test Cycle, User Feedback/Acceptance, Evaluate & Decide the next step with next iteration as required.

TechHans AI follows ALM Process where ALM stands for Application Lifecycle Management which is about continuous process of managing the life of an application through Governance (Business & Lifecycle), Development (Agile & DevOps) and Operations (Process & Services)

TechHans AI enables AI Adoption for business via key pillars such as Data Governance and Policy, Security and Compliance along with Reliability and Sustainability with most critical pillar being Responsible AI which is fundamental for sustainable AI journey.