GenAI strategy and use cases
Rank ideas by value, effort and risk. Pick the first 2 to 3.
Generative AI Consulting
MxTechies provides generative AI consulting for businesses across India, from Mumbai and Bengaluru to Delhi NCR, Chennai, Hyderabad and Pune. We help you pick the right GenAI use cases, build them safely and launch fast using Mendix low-code.
DPDP-awareIndian-language readyIndia hosting
Quick answer
Generative AI consulting in India helps companies find the best GenAI use cases and build them safely. MxTechies, a certified Mendix partner, plans and delivers GenAI assistants and AI-powered apps using low-code, so pilots reach real users in weeks. We design for DPDP, Indian languages and India data hosting.
Services
Rank ideas by value, effort and risk. Pick the first 2 to 3.
Choose the right AI model for accuracy, cost and data rules.
Accurate answers from your own documents, with sources.
Turn the pilot into a real app with workflows and approvals.
Guardrails, testing, human review and audit trails.
Upskill your team and plan cost and rollout.
Indian languages
Coverage depends on the use case and model.
Why MxTechies
Low-code turns a GenAI idea into a working app in weeks.
We built GenAI PIAM, a GenAI product data tool with AI suggestions, image recognition and translation.
Reseller, expert services, training, ISV and support in one partner.
DPDP-aware design, Indian-language testing and India hosting.
We train your team and hand over full documentation.
GenAI in India must protect personal data and respect sector rules. We design to align with the Digital Personal Data Protection (DPDP) Act 2023, keep sensitive data in India cloud regions or on-premise, and follow RBI, SEBI and IRDAI expectations for banks, NBFCs and insurers. Every solution has access control, audit logs and human review. Your legal and risk teams keep final sign-off.
Industries
Document checks, customer service, claims and policy assistants.
Maintenance help, quality knowledge, supply chain insights.
Document search and admin automation with strict privacy.
Product content, translation, search and service bots.
Contracts, project updates, buyer and tenant support.
Citizen assistants and document processing in local languages.
Coverage
Banking, insurance, media and consumer goods.
Technology, product engineering, SaaS and pharma.
Government, e-commerce, enterprise services.
Manufacturing, automotive and engineering.
Process
Find the best GenAI use case and check your data.
Build a small working version to prove value.
Check accuracy, safety and language quality with real users.
Build it into a Mendix app and connect your systems.
Monitor, improve and train your team.
Related: Mendix low-code development · GenAI product data tool (GenAI PIAM) · Legacy modernization · Case studies · AI Managed Services India
FAQ
Generative AI consulting helps a company find where GenAI creates value, choose the right AI models, build safe assistants and prove the return. It turns scattered AI experiments into working, governed solutions.
We support businesses across India, including Mumbai, Bengaluru, Delhi NCR, Chennai, Hyderabad and Pune. Work runs online with on-site workshops when needed, in Indian business hours.
Yes. We design GenAI assistants for English and Indian languages, test accuracy language by language, and use translation and search tools that handle mixed-language text. Language coverage depends on the use case and model.
We ground answers in your own documents (RAG), test quality automatically, add human review for important decisions and set clear safety rules. This lowers errors, but every solution still needs monitoring.
We design to align with the DPDP Act 2023 and, for banks, NBFCs and insurers, RBI, SEBI and IRDAI expectations. Data can stay on India cloud regions or on-premise. Your legal team keeps final sign-off.
A focused pilot usually takes about 4 to 6 weeks, depending on data readiness. We start with one high-value use case, test it with real users, then scale.
Cost depends on scope, data and integrations. We start with a fixed-scope discovery or pilot, then share a clear estimate and expected return before you commit to scale.
Next step
Share your goal. We will suggest the best first GenAI use case, a pilot plan and an honest view of cost and return.