SAMARTH capability
Technology consultancy
Technology decisions are expensive to reverse. SAMARTH consultancy gives an organisation an independent view of where technology can change its operations, what it would take, and in what order to do it.
Problems organisations bring
- A digital programme that has stalled or overrun
- Uncertainty about where AI genuinely helps and where it does not
- Disconnected systems that nobody can see across
- A board or ministry asking for a roadmap that can be defended
Scope of work
- Business and technology assessment
- Workflow and process analysis
- AI and automation opportunity mapping
- Enterprise and technical architecture
- Feasibility studies
- Implementation planning and sequencing
How an engagement runs
- Consultation. Every engagement begins with a registered consultation request and a call with a SAMARTH consultant, who confirms what is actually needed.
- Assessment. Interviews, a review of current systems and data, and an analysis of the workflows that matter most.
- Options. Alternatives compared on cost, risk, time and the capability the organisation keeps afterwards.
- Roadmap. A sequenced plan with dependencies, decision points and measurable outcomes.
What is delivered
- Assessment report
- Opportunity register with effort and impact
- Target architecture
- Implementation roadmap
Limits we state plainly
Consultancy fees never include engineering, licences or transfer of intellectual property.
Recommendations are made by human consultants, not generated automatically.
Questions
How does a consultancy engagement start?
You register, describe your organisation and project, pay the consultation booking fee, and book a call. A SAMARTH consultant is assigned to you. Any package or further work is quoted separately after that call.
Can you work with organisations outside India?
Yes. SAMARTH works with organisations in every country. Fees can be priced in your currency, and the conversion is shown before you pay.
Related capabilities
AI engineering
Designing, building and integrating AI systems that run in production: models, retrieval, agents, evaluation and the data pipelines underneath them.
Intelligent systems
Decision-support, prediction, monitoring and automation systems that combine data, models and human judgement for services, industry and government.
Government digital infrastructure
Digital governance, citizen services, government cloud, data integration and decision support for public bodies at every level, in any country.