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Lending, payments, and wealth businesses run on trust and turnaround time. We build the scoring models, fraud detection, security posture, and automation that improve both.
The reality on the ground
Financial services firms compete on two things: how fast they can say yes, and how rarely they regret it. Yet loan files still move through email and manual review, fraud is discovered after the money moves, and regulatory reporting eats week-long chunks of skilled staff time every cycle.
At the same time, enterprise partners and regulators are raising the bar on security. A thin audit history stalls partnership deals, and one incident can cost a license. The winners are automating the routine 80% while pointing human judgment at the risky 20%.
What we deliver
Application scoring and early-warning systems that grade risk in seconds — as decision support, with your officers keeping final say. Explore this practice →
Models watching transactions and claims in real time, flagging the patterns rules miss. Explore this practice →
OCR document verification, KYC workflows, bureau integrations, and approval routing — end to end. Explore this practice →
VAPT, remediation, and evidence-backed security packs that clear partner and regulator scrutiny. Explore this practice →
A governed warehouse where every number reconciles, with reports that compile themselves. Explore this practice →
Lending CRMs, agent apps, and borrower portals with WhatsApp follow-up built in. Explore this practice →
Results we target
Targets based on engagements of this shape — actual goals are agreed per project, upfront, in writing.
Credit-risk models cut fresh-loan defaults by 18%. Read the full sample case study for this industry.
Read case studyRepresentative scenarios
Honesty note: these are illustrative engagement scenarios — problem patterns we solve and the results a well-run engagement targets. They are not real client names or audited figures, and they'll be replaced by documented case studies as projects complete.
Client profile: Regional NBFC, ~80 staff.
The problem: Every application took days of officer review, criteria varied by branch, and defaults crept up as volume grew.
What we build: Risk-scoring model grading applications in seconds plus OCR document verification — officers keep the final decision, now with consistent evidence.
Typical results: Approval turnaround from 3 days to ~4 hours, defaults on new cohorts down double digits, manual reviews cut by a third.
Client profile: Payments startup, ~45 employees.
The problem: No audit history and thin documentation meant every enterprise security review took weeks and several deals died in procurement.
What we build: Full VAPT, risk-ranked remediation, security policies and monitoring, and a documented evidence pack for questionnaires.
Typical results: Questionnaire turnaround from three weeks to two days, all critical findings closed and retested, stalled deals reopened.
Client profile: MFI, 200+ field agents.
The problem: Collections were recorded in notebooks and reconciled days later; leadership had no daily picture of recovery performance.
What we build: Agent mobile app with digital receipts and instant sync, feeding live collection dashboards by branch, product, and agent.
Typical results: Same-day collection visibility, reconciliation effort largely eliminated, early identification of underperforming pockets.
Client profile: Payment aggregator.
The problem: Rule-based checks caught known patterns only; novel fraud was discovered in weekly reviews after settlement.
What we build: Real-time anomaly-detection layer scoring transactions in-flight, with automated holds and analyst review queues for high-risk flags.
Typical results: High-risk transactions held before settlement, fraud losses down measurably, analyst time focused on genuine cases.
Client profile: Investment platform, retail clients.
The problem: Support spent most of its day on the same questions — statements, SIP changes, KYC status — while response times slid.
What we build: RAG assistant grounded in the platform's own FAQs, policies, and account data, with clean human handoff for advice-adjacent queries.
Typical results: Majority of routine queries resolved instantly, first-response time down sharply, zero investment advice given by design.
Client profile: Brokerage back office.
The problem: Trades, ledgers, and bank statements were reconciled in Excel each night; breaks were chased over email for days.
What we build: Automated reconciliation pipelines matching across sources, exception queues for humans, and a daily break report.
Typical results: Reconciliation from hours to minutes, breaks aged in days not weeks, auditors handed clean matched records.
Client profile: Co-operative bank.
The problem: Every regulatory return meant days of extract-and-paste from the core banking system, with version confusion and rework.
What we build: Governed data warehouse over the core system with automated, validated return templates and a maker-checker flow.
Typical results: Return preparation cut from days to hours, figures consistent across filings, audit queries answered from one source.
Client profile: Loan distribution firm.
The problem: Leads arrived by referral, portal, and WhatsApp; nearly half were never followed up and nobody could say which channel converted.
What we build: Lending CRM aggregating every channel with auto-assignment, WhatsApp follow-up sequences, and conversion dashboards.
Typical results: Follow-up rate near-total, conversions up meaningfully, marketing spend shifted to channels that demonstrably convert.
Bring us the problem. We'll bring the plan, the build, and the numbers to prove it worked — agreed upfront, reported honestly.
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