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IA4Finance Platform
A private agentic AI platform for regulated financial institutions
The IA4Finance platform deploys secure AI agents on the financial institution's own infrastructure — with a private LLM foundation, a governed knowledge base, agentic orchestration, automation capabilities, and control mechanisms tailored to banking requirements.
Platform Architecture
Seven integrated layers,
Seven integrated layers,
one private platform
All layers deploy on-premise inside your infrastructure — interconnected, governed, and zero-dependency on public cloud services.
Security & Governance Perimeter — Zero Data Leakage
L06
Analytics & Monitoring
Usage · Quality · Performance · Operational gains
MLflowDashboardsKPIs
L05
AI Agents
Assist Agent · Client Agent · Advisor Agent
LangChainAgenticConversational
L04
RPA & Agentic Process Automation
Workflows · Bots · Core banking integration
AirflowRPAHuman-in-loop
L03
Agent Orchestration
Intent · Planning · Tool calls · Human checkpoints
LlamaIndexMulti-agentHITL
L02
Knowledge Base & RAG
Documents · Procedures · Products · Policies
pgvectorMilvusRBAC
L01
Private Banking LLM
Finance-tuned · On-premise · No external API
LLaMAMistralQwenNVIDIA GPU
INF
Deployment Infrastructure
On-Premise · Private Cloud · Air-Gap · Container-Native
DockerKubernetesVMwareOpenStack
A private AI model hosted on-premise or in a private cloud, designed to prevent sensitive data from being exposed to public LLMs. The model is fine-tuned on the financial terminology, regulations and processes specific to your institution.
On-Premise Hosting
The model runs on your private GPUs — zero external API calls, zero telemetry to third-party servers.
Finance Fine-Tuning
Trained on specialised financial corpora: banking regulations, domain terminology, Basel III/IV, KYC/AML.
Multilingual FR / AR / EN
Native support for French, Arabic and English — designed for Africa and Middle East markets.
Open Model Stack
Compatible with LLaMA, Mistral, Qwen, DeepSeek — no proprietary dependencies, no vendor lock-in.
LLaMA / Mistral
Qwen
DeepSeek
Hugging Face
NVIDIA GPU
vLLM
A knowledge base connected to internal documents: procedures, product sheets, policies, internal notes, commercial materials and business content. Document access is controlled by role and department — each user sees only what they are authorised to see.
Semantic Indexing
Documents indexed as semantic vectors for precise contextual search across your entire internal corpus.
Granular Access Control
Document-level RBAC — segregation by role, department, entity and confidentiality level.
Cited Responses
Every generated response is sourced and cited — complete traceability and auditability for banking compliance.
Document Formats
Support for PDF, Word, Excel, Markdown, email, HTML — automatic ingestion from your existing document management systems.
pgvector
Milvus
LlamaIndex
LangChain
Keycloak (RBAC)
The layer that enables AI agents to understand intent, exploit available knowledge, recommend actions and assist users according to their context. The orchestrator coordinates agents, manages tool calls and human validation steps.
Intent Understanding
The orchestrator analyses the user's intent, context and role to route to the right agent or knowledge source.
Multi-Step Planning
Complex task decomposition into steps, with sequential or parallel execution and dependency management.
Tool & API Calls
Agents can call internal tools — RAG engine, core banking APIs, calculators, document generators.
Human-in-the-Loop
Configurable human validation checkpoints — confidence thresholds, sensitive steps, supervisor approval before action.
LangChain Agents
LlamaIndex
ReAct / CoT
Tool Calling
HITL Checkpoints
An automation layer combining RPA bots, AI agents and business workflows to execute, assist or orchestrate operational tasks within existing systems. Every process remains auditable and controllable by business teams.
AI-Augmented RPA
Beyond simple robotisation — contextual document understanding, intelligent extraction, decision-making on unstructured data.
Banking Use Cases
Automated KYC, account reconciliation, payment processing, regulatory reporting (FINREP, COREP), credit file management.
Core Banking Integration
Native connectors for Oracle FLEXCUBE, Temenos T24, SAP Banking, Silverlake, Finastra and legacy systems.
Measurable ROI
Return on investment visible within 6 months — error reduction, operator time savings, strengthened compliance.
Apache Airflow
RPA Bots
REST / SOAP
ISO 20022
SWIFT
Access management, traceability, human control, business rules, monitoring, auditability and compliance with financial institution requirements. Governance is not an add-on layer — it is built into every component of the platform from the ground up.
ISO/IEC 42001 Aligned
AI management system aligned with ISO/IEC 42001 — policies, controls, audits and continuous improvement.
Immutable Audit Trail
Every query, decision and action is recorded — timestamped, tamper-proof and exportable for regulatory auditors.
Zero Data Leakage
No data leaves your infrastructure — no telemetry, no cloud calls, no external logs.
RBAC & Encryption
Granular access control + AES-256 encryption at rest and TLS 1.3 in transit, in line with banking standards.
ISO/IEC 42001
AES-256
TLS 1.3
Keycloak IAM
RBAC
Audit Logs
Usage tracking, response quality, resolution rates, user satisfaction, operational gains and continuous improvement. The platform measures, tracks and improves itself — without sending any data outside your infrastructure.
Usage Analytics
Query volume, distribution by agent, usage peaks, unanswered questions — real-time dashboard.
Response Quality
Relevance scoring, resolution rates, human escalations, user feedback integrated into the improvement loop.
Model Monitoring
Drift detection, performance degradation, automated alerts and retraining pipeline — full on-premise MLOps.
Operational Gains
Measuring gains: time saved, tasks automated, reduction in human contacts, ROI per use case.
MLflow
Grafana
Prometheus
Drift Detection
Custom Dashboards
Deployment Model
On-premise and private
On-premise and private
by design
The IA4Finance platform does not offer a public cloud option. Every deployment remains under the full control of the financial institution.
On-premise
Private cloud
Local infrastructure
Banking-grade security
No exposure to public cloud LLMs
Full control over data, models and knowledge base
On-Premise Standard
Deployed on your physical servers or private VMs. Internal network only. Compatible with existing datacenters.
Air-Gap Deployment
Operates in a fully isolated environment with no internet or external network connection. For ultra-sensitive data.
Private Cloud
Deployed on your private cloud of choice — OpenStack, VMware, Azure Stack. Data stays within your control perimeter.
Container-Native
Native Docker / Kubernetes architecture. Horizontal scalability, high availability, reproducible deployment via Helm.
Compliance & Standards
Built for regulated financial environments
Every component is designed to meet the regulatory requirements of financial institutions in Africa, the Middle East and Europe.
ISO/IEC 42001 — AI Governance
GDPR
Basel III / IV
KYC / AML
BCEAO
COBAC
BCT (Tunisia)
PDPL (KSA)
ADGM (UAE)
Data Sovereignty
Zero Telemetry
AES-256
TLS 1.3
Air-Gap Ready
RBAC
Audit Trail
Open Stack
Open source & private technologies — zero vendor lock-in
Our stack is built on proven open source components — no mandatory proprietary cloud dependency, no vendor lock-in.
LLaMA / Mistral
Qwen
DeepSeek
LangChain / LlamaIndex
Hugging Face
NVIDIA GPU
pgvector / Milvus
Docker / Kubernetes
Apache Airflow
MLflow
Keycloak (IAM)
PostgreSQL / MongoDB
Grafana / Prometheus
vLLM / Ollama
Explore our AI Agents
Assist Agent, Client Agent, Advisor Agent, GPT4Finance, Automate — five purpose-built AI agents running on this platform, all deployable independently.
Our ProductsWho we are
IA4Finance Solutions — a subsidiary of IA4Scale Consulting. Specialists in agentic AI, enterprise architecture, and AI engineering for financial institutions.
About us