Fast, defensible AI answers from your contracts and policies.
We help finance, risk and compliance teams in banks, asset managers and insurers instantly find, trust and defend answers in complex contracts, policies and reports β with full traceability, measurable quality and governance that stands up to auditors and regulators.
Under the hood: production-grade architecture for finance documents with continuous quality monitoring and full audit trail.
What finance, risk & compliance teams get
- Defensible answers in minutes, not days. Handle complex client and regulator questions with audit-ready responses backed by exact clauses and document references you can show to auditors.
- Less manual document review. Cut hours of manual contract and policy review for your senior experts; free them from repetitive search and copy-paste across complex documents.
- Confidence under audit and regulatory review. Every answer comes with a clear evidence trail and version history β show auditors exactly where it came from and how it was generated.
- Production-grade reliability. Quality is measured and monitored continuously: you see performance metrics, regression results and alerts when something drifts β not a proof-of-concept that works "most of the time".
Audit-ready from day one
For Finance, Risk and Compliance teams working with contracts, policies and regulatory documents, speed alone isn't enough. You need answers you can trust, trace, and defend in front of auditors and regulators.
We design systems where every answer is traceable, measurable, and audit-ready from day one β not internal experiments that can't scale to production.
Built for regulated environments, not AI toys
We specialize in AI systems for teams working with mission-critical documents in banks, asset managers and insurers. Purpose-built solutions with the governance your auditors and regulators expect β not generic chatbots or internal experiments.
Audit-safe by design
Every answer links back to original documents, with full logs of prompts, retrievals and model outputs β ready for internal or external review.
Measured quality in production
We define golden datasets and KPIs with you, then track retrieval and answer quality over time β no blind spots.
Continuous regression & change control
Before each change, we run regression suites on your critical question sets, so no update silently breaks key workflows.
Finance-domain document expertise
We specialize in contracts, policies and reports for banks, asset & wealth managers and insurers β not generic document chatbots.
For teams working with mission-critical documents
We specialize in regulated finance: banks, asset managers, insurers. The same audit-safe approach applies to legal and investment teams working under similar document and compliance pressures.
Finance & Treasury / CFO Office
Credit agreements, covenants, limits, reporting requirements. Instant answers on loan terms, financial policies and regulatory reports β defensible and traceable.
Risk & Compliance
Regulatory requests, internal policies, audit reports. Respond to regulators faster with defensible answers backed by exact policy clauses and full evidence trail.
Legal Teams
Contract analysis, clause comparison, due diligence. The same audit-safe approach for legal documents where accuracy and traceability matter.
Investment & Asset Management
Fund docs, side letters, ESG disclosures. Investment teams use similar workflows to answer questions across complex document sets under audit pressure.
Intellectum Lab AI Control
Every system we build runs on Intellectum Lab AI Control β our proprietary governance layer that makes GenAI audit-ready from day one. It's not a bolt-on compliance checkbox; it's the infrastructure that captures every request, enforces policies, and ensures you can switch providers without rewriting business logic.
Per-Request Audit Trail
Full context capture for every interaction: who initiated, what prompt, which documents retrieved, model version, output produced. Reconstructable step by step.
Pre & Post Guardrails
PII detection, restricted topic blocking, commitment tracking, hallucination detection. Controls before and after generation β not just usage reports.
Model-Agnostic Exit
Provider abstraction layer means switching models or deployment mode is technically feasible without rewriting business logic. Real exit readiness, not paper exercises.
Quality Monitoring
Continuous measurement of faithfulness, recall, hallucination rate. Dashboards, alerts, SLO thresholds β engineering proof, not declarations.
Intellectum Lab AI Control is designed with DORA Articles 5-14, 24-30 in mind β mapping auditability, third-party risk, and exit strategy requirements to concrete technical capabilities.
Learn more about Intellectum Lab AI Control βHow we ensure quality in production
For teams responsible for AI governance and model risk: here's what we log, how we test, and how we monitor. Every deployment includes a comprehensive quality evaluation stack β engineering proof, not declarations.
What We Log
Full audit trail for every answer: prompts, retrieved documents, model version, document versions.
- Query and retrieval logs
- Source document references
- Model and config versioning
How We Test
Golden question sets and regression suites run before every change to critical workflows.
- Golden datasets
- Regression on critical scenarios
- Faithfulness & hallucination checks
How We Monitor
Dashboards, alerts, and quality thresholds integrated into production monitoring.
- Quality trend dashboards
- Alerts on degradation
- SLO/SLA thresholds
Answer Quality Metrics
Automated answer quality verification with faithfulness, correctness, and hallucination detection.
- Faithfulness score (target β₯0.90)
- Hallucination rate tracking
- Answer correctness scoring
Retrieval Quality Metrics
Continuous measurement that the system finds the right documents.
- Recall@K measurement (target β₯0.95)
- Precision@K tracking
- Evidence completeness scoring
Governance & Compliance
Enterprise-grade security controls with audit trail and compliance documentation.
- DPIA documentation
- Data lineage tracking
- Change management procedures
Example: 48h Regression Sample
Real production metrics from automated regression run on a finance document system. 12 queries evaluated across financial document corpus.
Evaluated using automated quality evaluation pipeline. Data anonymized.
Ready for auditors and regulators
The goal is simple: answers you can defend in front of auditors and regulators, with clear evidence and governance. We design compliance artefacts as part of the architecture β DORA-aligned, audit-ready, not as an afterthought.
Data Sovereignty & Deployment Options
Deploy in EU-sovereign cloud (Microsoft Cloud for Sovereignty, EU-only Azure regions) or fully on-premise with open-source models (Llama 3, Mistral). No US CLOUD Act exposure if required.
Audit Trail
Complete session logging with context trace, retrieval path, and answer provenance. Every query is traceable to source documents.
DPIA & Risk Maps
Data Protection Impact Assessment documentation, risk registers, and mitigation strategies included in every P3 Architecture deliverable.
Security Boundaries
Multi-tenancy isolation, access control, encryption at rest and in transit, and data loss prevention mechanisms built into architecture.
Model Governance
Evaluation governance framework with model versioning, performance tracking, and change management procedures.
SLO/SLA Monitoring
Production monitoring with defined service level objectives and service level agreements. Automated alerting on quality degradation.
Data Retention & GDPR
Clear data retention policies with automated purging, archival procedures, and compliance with GDPR and regulatory requirements.
Incident Response & Rollback
Documented incident response procedures with rollback capabilities. Version control for models, prompts, and configurations enables rapid recovery.
Every Build phase delivers a complete audit-ready dossier including: risk log, data lineage documentation, evaluation governance framework, security architecture, SLO/SLA definitions, and compliance checklist. Designed with DORA (Digital Operational Resilience Act) requirements in mind β ready for internal audit and regulatory review.
Concrete deliverables, not consulting fluff
Engineering documentation ready for implementation. Every phase produces tangible artifacts your teams can act on.
P1: Feasibility Snapshot
10-15 page diagnostic report with clear go/no-go recommendation.
- Executive summary (1 page)
- Data readiness assessment
- Use-case suitability matrix
- Organizational readiness score
- ROI projections
- Risk assessment
P2: Readiness Audit
25-40 page comprehensive audit with CFO briefing and data map.
- CFO briefing (1 page)
- Source systems map (up to 10 systems)
- Data quality report
- Current process diagnostic
- RAG-readiness scorecard
- Risk register
P3: Architecture & Roadmap
35-60 page architecture document with diagrams and implementation roadmap.
- Target system design
- Data architecture (ingestion, indexing)
- Retrieval/LLM/evaluation architecture
- 1-3 high-level diagrams
- 3-5 sequence diagrams
- Compliance package (DPIA, audit trail)
- 3-6 month implementation roadmap
Build: Quality Dossier
Comprehensive quality assurance documentation delivered with every Build phase.
- Golden dataset
- Baseline KPIs report
- Evaluation framework documentation
- Regression test suite
- SLO/SLA definitions
- Production monitoring setup
Full Discovery Layer
Combined P2 + P3 deliverables for comprehensive Discovery program.
- Complete P2 Readiness Audit output
- Complete P3 Architecture output
- Integrated risk register + architecture
- CFO briefing + technical roadmap
- 55-100 combined pages
- Build-ready specifications
Run: Managed Service
Monthly managed service package with continuous quality monitoring and support.
- Monthly quality regression report
- Production incident log
- SLA compliance report
- Model performance trends
- Quarterly architecture review
- Continuous improvement roadmap
Continuous quality management process
5-stage quality governance integrated into every Build and Run engagement.
Golden Dataset
Π‘urated Q/A pairs from domain experts
Baseline KPIs
Initial quality measurement and threshold definition
Continuous Evaluation
Automated quality checks on every deployment
Regression Testing
Weekly/monthly regression with trend analysis
Acceptance Criteria
Quality gates for production release approval
Real metrics from production systems
Baseline metrics from a production Investment Document Analysis system (Canada). Demonstrates consistent quality across deployments.
Retrieval Quality
Answer Quality
Discovery β Build β Run
Start with a focused audit-safe workflow, not a big-bang AI project. Clear approval gates for Risk and Compliance at every step. Fixed scope. Fixed pricing. 100% prepaid.
Three phases, clear deliverables:
- Discovery & Readiness: Diagnose your documents, workflows and controls. Define quality and audit requirements. Build the business case.
- Pilot & Build: Launch a defensible system on 1-2 key workflows with golden datasets, regression tests and governance documentation.
- Run & Governance: Continuous quality monitoring, regression suites, change management and monthly quality reports.
Feasibility Snapshot
Determine if AI-powered document answers make sense for your organization. Quick assessment of data readiness, use-case suitability, and organizational readiness with clear go/no-go recommendation.
What's Included
- Up to 2 interviews (CFO/Finance/Risk)
- Data Readiness analysis
- Use-case Suitability assessment
- Organizational Readiness review
- 10-15 page report with ROI analysis
- Clear go/no-go recommendation
Readiness & Risk Assessment
Comprehensive assessment of your documents, workflows and controls. Identify high-value use cases, assess data readiness and define quality & audit requirements.
What's Included
- Up to 5 interviews (CFO, Risk, Compliance, BI, IT)
- Source systems mapping (up to 10 systems)
- Data Quality Review
- Current Q&A process diagnostic
- Readiness diagnostic with risk register
- 25-40 page report
- 1-page CFO Briefing
Architecture & Roadmap
Complete architecture and roadmap that makes Build the natural next step. Tailored system design for your contracts and policies, including evaluation datasets, metrics, monitoring and governance.
What's Included
- Target system design for your document workflows
- Data architecture (ingestion, indexing, multi-tenancy)
- Retrieval and evaluation architecture
- Compliance package (logging, audit trail, SLO/SLA)
- 35-60 page architecture document
- 1-3 high-level diagrams + 3-5 sequence diagrams
- 3-6 month implementation roadmap
Full Discovery β $40,000
Combine P2 + P3 for the complete Discovery program. Recommended entry for mature organizations ready for enterprise implementation.
Talk About Your DocumentsHow defensible AI answers work in practice
Representative, anonymized samples showing how questions about contracts and policies are answered with full evidence trails and quality metrics.
Audit query: liquidity coverage ratio explanation
"Section 4.2 β Liquidity Coverage Ratio. For Q4 2024, the bank maintained LCR at 112% based on HQLA and 30-day net outflows as defined in internal policy FIN-LCR-2021β¦"
The system explains how LCR was calculated, which datasets were used, which internal policy sections apply, and links the answer back to specific paragraphs in the policy and reporting pack.
Audit query: change in provisioning policy
"Memo COM-2023-11 β Provisioning Policy Update. Effective 01.01.2024, stage 2 provisioning threshold adjusted from 30 to 60 days past due, aligned with guideline XYZβ¦"
The system outlines what changed, why, on which date, which internal memo and policy clauses govern the change, and links to the board approval minutes.
Audit query: reconciliation of IR disclosures
"IR deck Q2 2024, slide 18 β Adjusted EBITDA bridgeβ¦"
"Annual report 2023, note 7.3 β Reconciliation of adjusted metrics to IFRS figuresβ¦"
The system reconciles adjusted and IFRS metrics, explains the treatment of one-off items, and points to the exact notes and slides that support the final numbers.
Discovery β Build β Run
McKinsey-style engagement structure with deeper engineering rigor in RAG quality. Fixed pipeline. Fixed pricing. Predictable outcomes. Every Build starts with Discovery.
Discovery
Productized diagnostic and architecture services. Choose P1, P2, P3, or Full Discovery based on organizational maturity.
$5k - $40k
Build
Fixed-scope RAG implementation based on approved architecture. 40/40/20 milestone payments. Quality gates at every stage.
from $120k
Run
Managed service with continuous quality monitoring, monthly regression, and SLA-backed support. Ensures stable production performance.
from $15k/month
Why Discovery First?
Like McKinsey and Deloitte, we never start implementation without proper diagnostic. Discovery ensures architecture quality, prevents costly mistakes, and guarantees successful Build and Run phases.
Prevents Costly Failures
80% of RAG projects fail due to poor architecture and unclear requirements. Discovery de-risks Build by validating feasibility, data readiness, and use-case fit before any implementation.
Fixed Scope = Predictable Budget
Productized Discovery with strict scope boundaries ensures no scope creep, no surprises, and clear deliverables. You know exactly what you're getting and what you're paying for.
Build-Ready Architecture
P3 Architecture & Roadmap output becomes the blueprint for Build phase. No guesswork, no rework. Implementation team receives production-ready specifications with compliance and quality metrics defined.
Finance RAG Solutions We've Built
Real implementations of Finance RAG systems for banks, investment firms and insurance clients β with measurable quality, audit outcomes and reduced manual escalations.
On-Premise Compliance Document System
Fully on-premise deployment with Llama 3 for a German Mittelstand bank. Zero data leaves the bank's infrastructure. BaFin audit-ready with complete data sovereignty β no US CLOUD Act exposure.
FCA-Ready Fund Documentation System
Document intelligence system for UK-regulated fund manager. Covers KIID, prospectus, and regulatory filings. Deployed in UK Azure region with FCA Consumer Duty compliance documentation.
DORA-Aligned Policy Q&A System
EU-sovereign cloud deployment for a multinational insurer. Solvency II and DORA-aligned governance with Microsoft Cloud for Sovereignty. Covers policy documents, claims procedures, and regulatory reports.
Arabic-Optimized Financial RAG
Production-grade RAG platform with FastAPI, Azure OpenAI, and PGVector for Arabic financial documents. Multi-stage retrieval with sub-2-second response times with automated quality verification.
Terabyte-Scale Document Search
Comprehensive RAG system with AWS Kendra and Bedrock for terabyte-scale document repositories. Reduced information retrieval time from 15 minutes to 2-3 minutes.
Financial Document Analysis RAG
AWS Bedrock and Kendra system for investment document libraries. Generates precise answers from financial reports, enabling instant access to key metrics and investment strategies.
Graph-Enhanced Financial RAG
LlamaIndex and Neo4j system for complex financial document relationships. Graph-based retrieval enables multi-hop reasoning across interconnected data, improving accuracy for complex queries.
Automated Query Resolution System
LangChain and FastAPI platform for automated financial and insurance query processing. Achieved 30%+ automated resolution with continuous faithfulness and relevance verification.
LLM Evaluation Framework
Built automated quality assessment system that increased coverage from 2% to 25% and improved AI assessment accuracy from 66% to 91%. Ensures correct DeepEval integration.
Who we are and how we deliver
Entity & jurisdiction
Intellectum Lab operates as a specialized consulting firm focused on AI document systems for regulated finance clients.
Engagement model
We work through a Discovery β Build β Run pipeline with fixed-scope Discovery tiers, milestone-based Build and retainers for quality & compliance.
NDA & info security
Standard NDAs, data access limited to agreed scopes, and architectures designed for isolation, access control and data minimization.
SLO/SLA responsibility
Clear SLO/SLA definitions for quality and latency, with monitoring and alerting integrated into the delivery scope where applicable.
Talk About Your Documents
30-min qualification call (required before NDA) to discuss your contracts, policies and document workflows. We'll determine which Discovery product fits your organization and timeline.
Talk About Your Documents