Atomic Build/Fintech

Stop hand-wrangling regulatory reports. Ship AI systems that generate them.

Atomic Build embeds a forward-deployed product and engineering team inside your compliance operation to identify where AI moves the needle on regulatory reporting, stress testing, and capital adequacy calculations—then ships production systems in weeks.

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Your compliance team is a human middleware layer between regulatory requirements and broken data pipelines.

Reports that should take hours take weeks because data lives in legacy core systems, cloud data lakes, and half a dozen vendor platforms. Manual reconciliation, validation, and approval chains delay filings. One system change breaks three cascading reports. Stress testing scenarios require weeks of spreadsheet work.

Data lives everywhere: Core banking systems, payment rails, lending platforms, and third-party vendors don't share state. Your compliance team manually extracts, transforms, and reconciles across all of them.
Reports are brittle: Each regulatory submission depends on hard-coded logic buried in spreadsheets or legacy batch jobs. One schema change cascades into 10 manual fixes.
Stress testing is bottlenecked: Running capital adequacy and stress test scenarios requires weeks of manual scenario setup, calculation, and documentation—limiting how many scenarios you can actually explore.
Compliance cycle is slow: Report generation, internal review, and sign-off take so long that deadlines pressure you into pushing unverified data through.
Audit trail is tribal: Nobody has a single audit log showing how a number got from raw data to submission. You're maintaining separate documentation for every regulator.
No visibility into what's automatable: You know manual work is happening, but you don't have a clear map of where AI would actually save time and reduce risk.

Regulatory reporting automation isn't about replacing your compliance team. It's about eliminating the data plumbing so they can focus on judgment calls.

We don't believe in off-the-shelf compliance platforms that need 18 months of customization. We embed a product and engineering team inside your compliance operation, score which reporting workflows actually move the needle, and ship AI systems that handle data aggregation, validation, and report generation while maintaining complete audit trails and regulatory defensibility.

Score the reporting workflow first: We map your current report generation process, quantify how much manual effort goes into each step, and only build against workflows where AI cuts hours per cycle and reduces human error.
Audit trails are non-negotiable: Every number in a generated report traces back to source data with documented transformation logic. We build systems that satisfy regulator scrutiny by default, not after the fact.
Plug into your stack, don't replace it: We integrate with your core banking system, data warehouse, and lending platforms via APIs and connectors—never rip-and-replace. Your systems of record stay yours.
Humans validate, AI accelerates: We design workflows where AI handles data wrangling and calculation, but a compliance officer still reviews and signs off before submission. You gain speed without losing control.
Stress testing becomes exploratory: Once the first reporting system is live, running new stress test scenarios takes hours instead of weeks. Your risk team can explore scenarios instead of just running the mandated ones.
Ship in weeks, scale to all reports: First regulatory report automated within 6 weeks. The system design and data pipelines unlock faster builds for every report that follows.

From scored workflow to production report automation in six weeks

Fintech compliance leaders start with an Opportunity Sprint to surface which reporting workflows will move the most needle, then move into a focused forward-deployed build. No 12-month transformation.

Opportunity Sprint · Week 1: We embed with your compliance, finance and tech leads to map your reporting workflows, measure manual effort, quantify error rates, and score which AI builds would cut the most friction.
System design & audit planning · Week 2: We translate the chosen workflow into a concrete system design: data sources, validation rules, calculation logic, human review gates, and audit trail requirements.
Forward-deployed build · Weeks 3–6: Atomic Build engineers sit with your compliance team and ship the AI-driven report generation system. We test against live regulatory data and build complete audit trails as we go.
Operate, measure, scale · Week 7+: We monitor the system against agreed success metrics, maintain the data pipeline, and queue the next regulatory report for automation. Each subsequent build is faster.

Relevant services

Most engagements combine three or four of these. Start with what hurts most.

Regulatory reportingCapital managementRisk managementComplianceFinance operationsScore the reporting workflow firstAudit trails are non-negotiablePlug into your stack, don't replace itHumans validate, AI acceleratesStress testing becomes exploratoryShip in weeks, scale to all reports

AI workflows we've built for fintech compliance and operations

Each engagement starts from a scored opportunity inside your compliance workflow. These are the patterns we see move the fastest for fintech regulatory and capital reporting.

Call report automation agent
Pulls deposit, lending, and loan loss data from core systems and vendor platforms, validates against regulatory requirements, generates call report in hours instead of days.
−60% manual effort, 100% audit trail
Capital adequacy calculation engine
Aggregates risk-weighted assets across lending products, calculates tier 1 and tier 2 capital ratios against live portfolio data, flags covenant breaches in real time.
Real-time capital visibility, −75% spreadsheet recalc
Stress test scenario generator
Takes scenario parameters (interest rate shock, credit stress, liquidity scenario) and runs full portfolio impact analysis in hours. Enables rapid what-if analysis.
10x more scenarios explored, stress test cycles 80% faster
Regulatory data validation agent
Cross-references transaction data against AML/sanctions rules, maps counterparties across platforms, flags inconsistencies before report generation.
−40% pre-submission errors, complete data reconciliation

When to talk to us

Some patterns we hear on the first call. If two or more of these are true, the conversation is worth having.

Core banking systems, payment rails, lending platforms, and third-party vendors don't share state. Your compliance team manually extracts, transforms, and reconciles across all of them.
Each regulatory submission depends on hard-coded logic buried in spreadsheets or legacy batch jobs. One schema change cascades into 10 manual fixes.
Running capital adequacy and stress test scenarios requires weeks of manual scenario setup, calculation, and documentation—limiting how many scenarios you can actually explore.
Report generation, internal review, and sign-off take so long that deadlines pressure you into pushing unverified data through.
Nobody has a single audit log showing how a number got from raw data to submission. You're maintaining separate documentation for every regulator.
You know manual work is happening, but you don't have a clear map of where AI would actually save time and reduce risk.

Let's Connect

Decide what is worth building first.

Let's Connect →See how we engage

What compliance and ops leaders ask before engaging

How do we identify which regulatory reports should be automated first?

The Opportunity Sprint maps all your reporting workflows, measures manual effort in each, and scores them by time savings and error reduction. We typically find that call reporting, capital adequacy, and stress testing workflows move the most needle—but we validate that against your specific operation before recommending a build.

How do you maintain audit trails and regulatory defensibility in an AI-automated report?

Every number in the report traces back to source data with documented transformation logic. We build versioning and change logs into the system, maintain an immutable audit log of calculations, and ensure the AI system outputs can be explained to regulators. You're not just generating reports faster—you're generating them more defensibly.

Can Atomic Build work with our legacy core banking system and newer cloud platforms at the same time?

Yes. We integrate with whatever systems hold your data—core banking, data warehouse, lending platforms, payment rails. We pull data via APIs, direct database access, or file exports and handle reconciliation and validation in the AI layer. Your systems of record stay in place.

Do we need to hire an internal data or AI team to run these systems once they're live?

Not immediately. We hand off a documented, operational system that your existing compliance and finance teams can run. Many clients eventually build a small team around the AI infrastructure we deploy—but it's not a prerequisite. We'll recommend the right staffing model after the first few builds.

What happens if regulatory requirements change mid-engagement?

We build systems with clear separation between data pipelines and calculation logic, so requirement changes usually mean updating logic rules, not rebuilding the whole system. The Opportunity Sprint and system design phase include risk assessment for known upcoming regulatory changes, so we can front-load flexibility.

How long does the first regulatory report automation take, and what does it cost?

A typical engagement runs 6 weeks: 1 week Opportunity Sprint, 1 week design, 4 weeks forward-deployed build. First production report live by week 6. Pricing depends on scope and system complexity, but a first engagement typically runs USD 85–140k. The Opportunity Sprint alone can be run as a standalone USD 18k engagement to validate the opportunity before full build commitment.