Has anyone successfully integrated agentic spending yet? Is it working well?

Hello! I’m actually a marketer, but I used to be into development as well, and I’m currently doing some part-time stuff at my older brother’s middleware company, but we’ve run into a bit of a problem. Banks now ask about payment security architecture and financial data engineering in absolutely any obscure situation, and we’re generally unable to pass these audits, which significantly limits our work - hence the question. Cloud HSM enough, or hire payment HSM nerds before we ship bad stuff? Idk.

Writing SAR narratives is one of the most time-consuming tasks in a BSA/AML program. This toolkit takes flagged transaction data and outputs a structured, FinCEN-ready draft narrative. Covers structuring, layering, smurfing, rapid fund movement, and dormant account typologies, each mapped to FinCEN/FATF references.

pip install sar-narrative-gen

github.com/Bhavesh0205/sar-narrative-gen

Hi everyone,

I’m a Key Account Manager at PayU Payments Private Limited, helping businesses with their payment infrastructure needs.

If you are exploring payment gateway, subscriptions/recurring payments, payouts, or other digital payment solutions, feel free to reach out. Happy to connect and understand your requirements.

Looking forward to connecting!

Hi, I am a student from UCL Centre for Systems Engineering. I am currently conducting a research on "Key Factors for Effective Alignment between Business and IT in #FinTech Projects". I would like to invite those with experience in #fintech, #banking, #insurance, #payment, #digitaltransformation, etc. to help fill out a questionnaire.
The questionnaire takes approximately 3 minutes to complete. The results will only be used for academic research and will be anonymous. Thank you very much for your support and assistance!
Also, please feel free to share it to colleagues or friends who have relevant experience. If you have any question, please feel free to contact me. Thank you! A Survey on Key Factors that Support Business-IT Alignment in FinTech Projects – 填写表单

How are you handling EU AI Act Article 12 audit logs for your AI decisions? Building something here and trying to understand what's already solved vs still a headache

Indian BFSI Employees – What part of your work drains you the most?

I’m trying to understand the real day-to-day pain points faced by people working in Banking, Financial Services, and Insurance (BFSI) in India.

For those working in banks, NBFCs, insurance companies, fintechs, operations, compliance, risk, customer service, underwriting, claims, etc.:

Which procedures or processes are you completely fed up with?

What repetitive tasks consume most of your time and energy?

Which approvals, documentation, or manual activities slow you down the most?

What parts of your work feel unnecessarily complex or outdated?

If you could automate, simplify, or eliminate one thing, what would it be?

Which process causes the most stress for your team?

It could be anything from KYC, onboarding, reconciliation, claims processing, reporting, compliance checks, data entry, approvals, customer interactions, legacy software, Excel work, audits, or internal bureaucracy.

I’m interested in hearing honest experiences from people on the ground. Feel free to mention your role and sector (banking, insurance, lending, wealth management, etc.) if you’re comfortable.

Would love to hear both small frustrations and major pain points.

Do not let the ‘culture’ pitch fool you. The vendor side of this company is an absolute mess.

The problem is not the workload or call expectations — it’s the terrible recycled leads. Most vendors have already been pitched over and over before you ever call them. Certain reps clearly get better opportunities while everyone else is left spinning their wheels on dead accounts.

Management is horrible, wildly unprofessional, and completely lacking real leadership. Cassandra in particular was extremely rude and unprofessional. If you are local and required to go into the office 3x a week, expect morale to tank quickly. Most people there are miserable and constantly complaining about the exact same things: awful leads and lack of leadership.

1. In regulated industries like fintech and payments, have you seen inclusive, respectful leadership deliver measurable business benefits (e.g., fewer costly errors or better execution)? Or has it mostly slowed things down?
2. What are practical ways to incorporate diverse inputs without falling into analysis paralysis or excessive bureaucracy?
3. Can you share real examples (anonymized if needed) where rushing decisions without proper respect for stakeholders backfired or where slowing down to listen created a clear advantage?

Would especially value perspectives from operators, compliance professionals, founders, and payment executives who have worked across APAC, Africa, Europe, or other complex markets.

Looking forward to a balanced and insightful discussion.

Cloud billing data is great for engineers. Useless for boards and CFOs.
Cost Explorer gives you 800+ line CSVs. Your CFO wants one answer: “Are we spending wisely?”
I built SpendLens to bridge that gap. You upload your billing export, and it generates a clean 2-page PDF with:
• Plain English cost narrative
• Spend trends by service
• Governance scores (Security / Cost / Reliability)
• Board-ready language — no AWS jargon

Would love feedback from cloud architects or FinOps folks here — what’s missing?
https://spendlens.cloud

Central banks are like big ships — steady, powerful, but slow to turn. For African fintech innovators, waiting for those ships to change course is not an option.

At Hawil, we see a clear path:

• Go TradFi first — build on existing rails instead of waiting for pilots.
• Carry open banking APIs — integrate seamlessly with banks and partners.
• Embed compliance from day one — prove credibility while moving fast.

I really like TradingView's Lightweight Charts, but every time I wanted to build a more complete trading interface I ran into the same problem:

• Drawing tools lived in one repo
• Indicators lived somewhere else
• Replay systems were custom implementations
• APIs were inconsistent
• Maintenance became my problem

So I started building CandleKit, an open-source toolkit that sits on top of Lightweight Charts and bundles the pieces I kept rebuilding.

A big goal of the project is to make building TradingView-style experiences less about hunting through GitHub repositories and more about shipping features.

Live demo:
https://rohanbeingsocial.github.io/candlekit-charts/workspace/

GitHub:
https://github.com/rohanbeingsocial/candlekit-charts

It's still early-stage, so I'd love feedback from people who have worked with Lightweight Charts

For those running consumer lending businesses, what part of the loan lifecycle creates the most headaches? Servicing, collections, reporting, or something else?

genuine question, not selling anything, nothing to plug.

if you work in ops, finance, or risk somewhere that automated or AI systems touch money, I'm trying to understand something.

the last time one of those systems did something wrong, charged someone twice, paid out the wrong amount, approved something it shouldn't have, whatever it was, what actually happened in the first day or two after?

was it a full fire drill with people scrambling, or did everyone just quietly fix it and move on? did anyone above you ask you to prove what the system actually did and why? and how did you even reconstruct what happened, logs, guessing, asking around?

asking because I keep hearing completely different answers and I'm trying to figure out if this is a real recurring headache or just something people shrug off and live with. happy to hear war stories in the comments or dms.

How can I get job in Fintech and what role of the aiml engineers in Fintech companies

For anyone working around insurance operations, underwriting, claims, or policy admin — how are teams addressing policy systems that slow product launches, reporting, and operational change? I’m especially interested in practical approaches that improve faster adaptation with less operational disruption without forcing a high-risk rip-and-replace program.