More than fifteen years ago, mobile financial services
did not exist in Bangladesh. There was no governance
model for it, no regulatory precedent at the scale
that would follow, and no playbook for managing risk
inside an institution that was simultaneously building
the infrastructure and serving the population that
needed it most. bKash was built into that gap —
and I joined the risk function as that institution
was still finding its form.
Today bKash serves over seventy million accounts.
The unbanked population that had no access to formal
financial services has a wallet, a payment rail,
a savings mechanism, and increasingly, a credit profile.
That is not a product metric. It is a structural shift
in how a country participates in its own economy.
I believe in that work at a level that goes beyond
the institution. Financial inclusion is not a mission
statement here — it is what the last decade and
more has actually been.
My current role is Vice President and Head of
Product & Campaign Risk within the
Enterprise Risk Management Division at bKash —
which means I sit at the intersection of every new product,
every campaign, every AI-adjacent initiative, and the
governance architecture that determines whether those
things scale responsibly. Before bKash, more than a decade
at Standard Chartered Bangladesh across retail
banking risk, business risk management, and corporate client
coverage — with a period at NRB Bank Limited
between the two. Different institutions, different scales,
the same structural question: how does governance hold when
the conditions change faster than the frameworks can track?
The failure is rarely a missing framework.
It is a framework written for conditions
that no longer exist.
AI is the current version of that question — and the
most consequential one. I am not a technologist.
But I read the field seriously: the capabilities,
the failure modes, the governance debates happening
at the frontier. Because the institutions I work with
are already operating in AI-adjacent territory, and a
risk function that cannot think clearly about AI is
already behind. The Gulf market understands this
more acutely than most — the appetite for AI infusion
in financial services is real, and so is the growing
awareness that the governance architecture for it
does not yet exist at the scale required.
The LITUp Framework emerged from this
same instinct — that when no playbook exists,
you build the structure that should. It grew from a
live pro-bono engagement with a $1B+ microfinance
institution navigating a governance transition with
no established model. Four phases, each addressing
what the previous phase uncovered. The measure of
success is whether the institution can govern itself
when the engagement ends — not whether the engagement
continues.
I publish on LinkedIn and write longer-form here.
Based in Dhaka, working across South Asian and Gulf
markets — two regions where institutional growth has
consistently outpaced governance architecture, and
where the next decade of AI-driven disruption will
make that gap more consequential, not less.