What we do
AI readiness & use cases
AI readiness assessment and business use-case identification.
Workflow automation
Workflow automation using AI-powered tools and RPA.
Predictive analytics
ERP-integrated predictive analytics and decision engines.
AI-powered finance
AI-powered financial reporting and cash-flow forecasting.
Vendor selection & adoption
Vendor selection, implementation oversight and adoption support.
Upskilling & AI governance
Staff upskilling programmes and AI governance framework design.
Where we start
A two-week AI readiness diagnostic, mapping your highest-ROI automation opportunities before any technology commitment is made.
Results are strongest when your data sits in one integrated platform, which is why this practice pairs naturally with our ERPNext implementations.
Qatar National Vision 2030 targets a knowledge-based, technology-enabled economy.
Who leads your AI programme
Narendra Reddy Velugoti
Managing Director
- FCA
- ACMA
- CISA
- M.Com
- MBA
Internal audit and finance professional with 18+ years across Big Four firms, multinationals and government entities, specialising in governance, risk management, compliance and ERP-based audit transformation across construction, healthcare and diversified sectors in Qatar, the Middle East and India.
Meet the teamAI & digital transformation: frequently asked questions
Where should we start with AI?
With our two-week AI readiness diagnostic, which identifies the highest-return automation opportunities before you commit to any technology.
Which processes benefit most from AI?
Invoice and document capture, reconciliations, cash-flow and sales forecasting, customer queries through chatbots, and management reporting.
Do we need a new ERP before using AI?
Not always. AI tools can work with existing systems, but results are strongest when your data sits in one integrated platform such as ERPNext.
Is our data safe?
We design AI governance covering data access, privacy under Qatar’s data protection law, and human review of AI outputs.
Will AI replace our staff?
AI removes repetitive work so your team can focus on analysis and decisions. We include upskilling in every programme.
How do you measure success?
Each use case has agreed KPIs, such as hours saved, error rates and turnaround times, tracked before and after go-live.