Banking & Insurance
Your most valuable data sits in legacy systems. Your teams spend hours searching, reading, and drafting - work that AI handles in minutes. But public AI tools create permanent exposure.
The gap between AI capability and compliance grows wider daily.
Regulatory pressure reached critical mass
DORA requirements active now
January 17, 2025 deadline passed. All financial entities must implement comprehensive ICT risk management, register third-party providers, establish 24-hour incident reporting. Non-compliance blocks operations.
EU AI Act high-risk classification
Credit scoring, creditworthiness assessment, insurance pricing fall under strictest requirements by August 2026. Penalties reach €35M or 7% of global revenue.
Breach costs compound
Average financial services data breach: €6.08M - 22% higher than cross-industry average. Combined with GDPR penalties (€20M or 4%) and recent recordkeeping fines ($3.5B+ across major banks), exposure justifies board attention.
Shadow AI creates audit gaps
73.8% of ChatGPT usage occurs through non-corporate accounts. You have zero visibility. Regulators expect complete documentation. The Samsung precedent haunts the industry: three incidents leaked proprietary data to public models, permanently incorporating confidential information into training datasets.
Aimable: query your documents safely
Finally use AI on the work that matters. Aimable gives you document intelligence with complete data control. Upload contracts, policies, reports, and historical records. Query them through a familiar chat interface. Get citation-backed answers you can verify.
Your data never leaves your controlled environment. Deploy in EU-hosted cloud, your private cloud, or on-premises. Every query logged in systems you own. Automatic PII redaction before processing. Smart routing determines when to use local models versus frontier capabilities.
Built for financial services compliance from day one.
What you gain
Unlock legacy documents
Build Collections from thousands of historic loan contracts, credit agreements, and deal documentation. RAG indexing makes decades of documents searchable via natural language. Curators verify content quality. Cut document search time 50%. Answer client questions in minutes, not hours.
Input trust guaranteed
Your data stays in your deployment perimeter — EU-hosted, customer-controlled cloud, or on-premises. Zero external exposure. Three PII redaction levels per Space: Automatic, Human-in-the-loop (flagged, user decides), or Off for local-only models. RBAC-controlled Spaces ensure users access only authorised documents.
Output trust verified
Every answer backed by citations from your documents. No hallucinations on business-critical questions. Verifiable sources for compliance review. Copy-paste responses with automatic PII restoration - redaction stays invisible to users.
Audit-ready from day one
Complete audit trail in your environment: every query, response, RAG source hits, token usage, and user metadata logged. Two logging levels per Space — Full or Events-only. Exportable for GDPR Article 30 compliance. 24-hour incident reporting capability for DORA compliance. Assign the Auditor role for read-only oversight.
Scale operations without overhead
Firms using governed AI achieve 10x venture capacity with the same team size. Portfolio company monitoring automated, LP reporting streamlined, market intelligence gathering accelerated. Growth without proportional cost increase.
Architecture built for financial compliance
Hosting flexibility matches your requirements
Three deployment options: EU-hosted cloud for fast adoption, customer-controlled cloud in your infrastructure, on-premises for air-gapped security. You choose data residency. Architecture stays identical.
Smart routing protects sensitive queries
Automatic classification determines query sensitivity. Confidential data routes through local processing with PII redaction. General queries leverage frontier models for speed. Sensitive information never crosses external boundaries.
Comprehensive guardrails enforce policy
Configurable security rules at infrastructure level. Prevent unauthorized data exposure before it happens. Block policy violations in real time. No manual oversight needed - protection runs automatically.
Model-agnostic gateway future-proofs investment
Connect to OpenAI, Anthropic, Mistral, or local models through unified interface. Switch providers as capabilities evolve. No vendor lock-in. Governance layer remains constant while AI advances.
Multi-source integration covers your data
Connect Data Sources — Google Drive, SharePoint, direct upload — to feed files into Collections. GitHub and Dropbox planned. Unified data access for AI applications. Microsoft 365, CRM and core banking integrations on roadmap.
Next-generation secure chat for financial services
Most major financial institutions built first-generation private chat models. Significant investments - $500K to $5M - delivered secure perimeters and compliance frameworks. The approach worked: eliminate shadow AI by providing approved alternatives.
But first-generation models struggle with three critical gaps. They cannot access your most valuable data - legacy contracts, historical deal documentation, proprietary research locked in systems outside approved sources. User experience falls short of public AI tools, driving employees back to shadow solutions. Keeping pace with frontier model innovation requires constant engineering effort unsuitable for mid-market institutions.
"A major European bank faced this limitation directly. Their large-deal lending team uses an approved internal chat model, but only against pre-approved data sources. Compliance teams decide what the system sees. Everything else stays off-limits. The result: they cannot use AI on the data that matters most - thousands of historic loan contracts written over decades."
The requirement evolved: output trust matters more than input trust. Can I trust what it tells me? Answers need verification within domain-specific context. Checked for bias, hallucination, accuracy. Citation-backed responses you can validate. Trusted intelligence for high-stakes lending decisions.
Aimable delivers next-generation capabilities. Build curated Collections — verified knowledge bases indexed via RAG (vector + graph database) for semantic search across thousands of documents. Connect Data Sources (Google Drive, SharePoint, direct upload) to feed files into Collections automatically. Smart routing determines when to use local processing versus frontier models. Configurable PII redaction per Space. Citation-backed answers with verifiable sources. Deploy in your perimeter with complete data control.
Expand to enterprise platform when ready
Aimable runs on Platform - the infrastructure layer for all your AI applications. As document intelligence proves value, platform capabilities become relevant.
Unified governance across AI initiatives
Multiple departments want their own AI environments. Configure purpose-driven Spaces for each team — each with their own Collections (curated knowledge bases), allowed models, PII redaction level, admin-controlled System Prompt, and logging level. Create Projects per client engagement to group chats and working files. Assign RBAC roles: Admins configure Spaces, Curators manage Collections, Auditors review trails, Users work within their permissions. Single audit trail, unified policy enforcement, enterprise-wide control.
API access for custom solutions
Instead of building AI infrastructure from scratch, build on Platform with governance included. Space-scoped API keys inherit all governance settings. MCP (Model Context Protocol) integrations for programmatic access. Smart routing, PII redaction, audit trails, multi-model access — available through APIs. 80% faster time-to-market versus custom builds.
Complete shadow AI management
Document intelligence solves one use case. Aimable governs ALL employee AI interactions. Reduce unauthorized tool usage 40%+ while enabling innovation through approved channels.
Make AI governance your competitive edge
Financial services firms that solve AI governance first capture massive efficiency gains while competitors face penalties and paralysis. Organizations implementing governed AI solutions report 18-20% efficiency improvements, 121 minutes weekly productivity per employee, $1.76M-$2.22M in breach cost avoidance.