AI transformation your team owns.
We work with banks, MFS providers and telecom operators to put AI into production, and to build the people inside your organisation who will run it after we leave.
Most enterprise AI projects don’t fail at the model. They stall at the handover.
A vendor builds a pilot. The demo goes well. Then the vendor leaves, and nobody inside the organisation can retrain the model, fix the pipeline when a data source changes, or explain to the risk committee how the system makes decisions. The pilot quietly stops being used.
The fix is not a better model. It is a team that understands the system because they helped build it, a leadership group that agrees on what AI is for, and governance that the regulator and your own auditors can follow. That is what we set up.
Spark, Build, Own.
Three stages, one engagement. You can start at any of them, but every engagement is designed to end at the third.
Agree on where AI pays off.
We work with your leadership to pick the few use cases that matter, check whether your data and systems can support them, and set out what it will take.
- Executive AI Workshop
- Readiness review of data, systems and skills
- Prioritised use cases with a 90-day plan
Ship one use case to production.
Our engineers and yours build it together, on infrastructure you control. Your people write code from week one, not just attend the demo.
- LLM, retrieval (RAG) and agent systems
- Bangla and English language interfaces
- Data pipelines, MLOps and on-premises deployment
Hand it over properly.
Your team runs and extends the system. We train the wider engineering group, write the governance with you, and step back to an advisory role.
- AI Academy programmes for your engineers
- AI governance and model-risk policies
- Documented handover and advisory support
Built for regulated, high-volume businesses.
We focus on sectors where data is sensitive, volumes are large and much of the work happens in Bangla.
Banking & MFS
Policy and circular search for compliance teams, KYC document processing, fraud-alert triage, Bangla customer service and credit-analyst assistants.
Read →Telecom
Bangla customer-care agents, call summaries, churn and next-best-offer models, network-operations assistants and distribution analytics.
Read →Training is part of the work, not an add-on.
The AI Academy runs alongside client engagements and on its own. Every programme is hands-on and built around real systems.
Executive AI Workshop
For leadership teams. Where AI pays off, what the risks are, and a first roadmap.
LeadersApplied AI Engineering
RAG pipelines, vector databases, agents, evaluation and guardrails.
8 weeksCloud-Native Engineering for AI
Go, Rust and microservices for engineers moving off legacy stacks.
12 weeksDevSecOps Masterclass
Security built into the delivery pipeline, as regulated industries require.
6 weeksWe have done large-scale transformation before. AI is the newest layer of it.
years in software architecture and enterprise transformation
experience at an international software company
systems architected for Fortune 500 firms in energy, technology and insurance
of engineers led, hired and mentored
Begin with one working session with your leadership team.
The Executive AI Workshop gives your leaders a shared view of where AI pays off in your business, what stands in the way, and what to do in the next 90 days.
About the workshop