AI for finance and banking.
Compliance-first automation with full audit trails. Purpose-built for financial services β with the compliance controls, integrations and workflow templates your industry actually needs, delivered on one platform your CIO and your operators both trust.
Overview
Why financial services teams choose Flyps.
Financial Services operators live under industry-specific constraints β regulation, seasonality, complex integrations, high consequence of errors β that generic AI tools ignore. Flyps ships templates, connectors and policies aligned to how financial services actually works.
From day one, teams get compliant, auditable AI that respects sensitive data, plugs into the systems of record your industry runs on, and produces the reporting your leadership and regulators expect.
4Γ
faster time-to-value
5+
tools consolidated
99.99%
uptime
SOC
2 Β· HIPAA Β· ISO
The challenges
What teams like yours struggle with.
Fragmented tools
Every function runs its own point solutions with no shared context.
Slow to ship AI
AI projects stall between prototype and production for months.
Governance gaps
No unified way to enforce policy, privacy or brand consistency.
How Flyps solves it
One platform, purpose-built for financial services.
Unified platform
One system of record so every workflow shares data and identity.
Ship in days
Reusable building blocks let teams launch AI features in an afternoon.
Trust built in
Central policy, audit and BYO key controls across every product.
Recommended products
Your Flyps starter kit.
Technology
The technology stack behind Financial Services.
Every Flyps deployment for financial services runs on the same production-grade primitives β proven at scale in regulated industries, engineered for portability and instrumented end to end.
- Warehouse-native execution on Snowflake, BigQuery, Databricks and Postgres
- Model routing across OpenAI, Anthropic, Google and self-hosted providers
- Typed function calling to 300+ integrations with JSON Schema validation
- Retrieval-augmented generation with hybrid vector and keyword search
- OpenTelemetry-native traces, evals and replay for every AI action
- SAML SSO, SCIM, row-level security and audit trails end to end
- SOC 2 Type II, ISO 27001 and HIPAA-eligible β ready for financial services compliance requirements
Delivery process
How our team ships financial services outcomes.
A repeatable, five-stage engagement model that puts your engineering, operations and compliance stakeholders in the loop from day one.
1
Discovery
We map the financial services workflows where AI creates leverage, and the systems of record it must call.
2
Design
Reference architectures and templates tailored to your team, size and industry accelerate the design phase.
3
Build
Compose typed workflows, wire integrations and configure policy in a shared workspace your team owns.
4
Evaluate
Offline evaluation suites, canary traffic and shadow runs validate quality before customer-facing rollout.
5
Deploy
Staged rollouts and full-fidelity observability let on-call scale confidently from one team to the org.
Expected results
Business impact you can measure.
What financial services teams typically achieve in the first two quarters on Flyps β measured against the KPIs already on your leadership dashboard.
$8M
in fraud losses avoided
4Γ
faster time-to-value for financial services workflows
5+
point tools consolidated per team
99.99%
uptime across every production workspace
Case study
$8M
in fraud losses avoided
"The audit trail alone paid for itself in the first quarter."
Chidera Nwosu, EVP Technology
Client challenge
Atlas Bank was running a fragmented financial services stack β multiple point tools, disconnected data and manual handoffs β that couldn't keep up with growth or leadership's reporting needs.
Solution approach
Their team standardized on Flyps to consolidate workflows, ground AI in first-party data and instrument every step for measurable outcomes β replacing custom glue code with typed, reusable building blocks.
Technologies used
The rollout combined ai-agents, ai-workflows, knowledge-base on Flyps' shared runtime, integrated with the team's existing warehouse, CRM and identity provider, and governed by a central policy engine.
Development process
Discovery mapped the top three financial services workflows; reference architectures accelerated design; offline evaluations validated quality before a staged rollout with canary traffic and full observability.
Business impact
Within one quarter, Atlas Bank reached $8M in fraud losses avoided β while retiring multiple internal tools, cutting operational cost and freeing the team to focus on higher-leverage work.
Benefits
What you'll ship with Flyps.
The six outcomes financial services leaders report most often after standardizing their team on Flyps.
Industry-tuned templates
Pre-built workflows, prompts and integrations aligned to how financial services teams operate.
Compliance without slowdown
Policy engine enforces regulation-specific rules (HIPAA, SOC 2, PCI, FERPA) automatically.
Systems-of-record integrations
First-party connectors to the industry-standard tools your team already runs.
Trusted AI outputs
Grounded, cited responses that stand up to audit, review and customer scrutiny.
Time-to-value in weeks
Reference architectures for your industry cut months of design work.
Reporting for regulators and leadership
Audit trails, model risk documentation and executive narratives out of the box.
Integrations
Fits into the stack you already run.
FAQ
Common questions.
The questions financial services leaders, engineering managers and security reviewers ask most often β with detailed answers on process, technology, timelines and compliance.