AI for Banks —
Deployed Inside Your Bank
Document automation, compliance support, and intelligent agents that run entirely on your infrastructure. No customer data leaves your network. No dependency on foreign cloud.
Why on-premises matters for banks
Central banks across African markets increasingly require that mission-critical banking systems and customer data be hosted in-country. Data protection laws — Tanzania's PDP Act, Nigeria's NDPR, Kenya's DPA, and others — regulate the cross-border transfer of personal data.
Most AI vendors can only offer hosted APIs. That means customer data leaves the country at inference time, every time a query is made. For core banking data, that is often not permissible.
We build differently: the model runs on your servers, next to your data. Nothing crosses a border. No API calls leave your network.
And because our architecture is model-agnostic and portable, you retain the ability to migrate or exit — directly addressing regulator concerns about vendor lock-in.
Samvit AI does not provide legal advice. Our systems are designed to support your compliance obligations; determining what those obligations require in your jurisdiction remains yours and your counsel's.
Four systems, built for how banks actually work
Each one runs inside your perimeter. Each one keeps a human in the decision seat.
Internal Knowledge Agent
- Problem
- Bank staff spend hours searching policy manuals, circulars, product terms, and regulatory guidance for answers.
- Solution
- An AI agent that answers questions in plain language over your internal documents, with citations back to the source document and clause.
- Why it's a strong starting point
- No customer PII involved, fast to deploy, and immediate daily value across the organization. The ideal first project.
Trade Finance Document Automation
- Problem
- Letters of credit, bills of lading, invoices, packing lists, and certificates of origin are cross-checked manually against LC terms. It is slow, error-prone, and missed discrepancies are costly.
- Solution
- The agent ingests the document set, extracts structured fields, cross-checks them against LC terms and against each other, and flags discrepancies with the specific clause and reason. Your officer reviews and decides — the agent does the comparison work, not the judgment.
- Value
- Faster turnaround per file, higher discrepancy catch rate, and consistent checking. Document-in, document-out — runs fully on-premises.
KYC & Document Processing
- Problem
- Account opening and periodic KYC refresh require manual extraction from national IDs, passports, financial statements, and forms. High volume, highly manual.
- Solution
- Automated extraction, validation, and structuring of onboarding documents — with human review built into the workflow.
- Value
- Reduced onboarding time, fewer data-entry errors, and a full audit trail. Sensitive documents never leave the bank.
AML & Transaction Monitoring Assistant
- Problem
- Analysts triage large volumes of alerts and draft suspicious transaction narratives for regulatory filing. Most alerts are false positives; the drafting is repetitive.
- Solution
- AI-assisted alert triage, contextual summarization, and drafted narratives for analyst review and approval.
- Value
- Analysts spend their time on judgment, not paperwork. The human decision-maker stays in control — the agent prepares, the analyst decides.
Where the model runs, and what never leaves
The architecture is the product. This is the diagram to take into your risk committee.
Your Data
Core banking records, policy documents, customer files — at rest where they already are.
The Model
Open-weight LLM, self-hosted on your servers. Runs inference next to the data.
Your Staff
Officers and analysts query the system. AI prepares; the human decides.
Every query, retrieval, and output is logged inside your environment.
Runs on your infrastructure
On-premises or in your own private cloud.
Data residency
Data stays in your jurisdiction — at rest and during processing.
Open-weight models
Self-hosted. No outbound API calls, no phone-home.
Model-portable
Swap the underlying LLM without rebuilding. No vendor lock-in.
Full audit logging
Every query, retrieval, and output is logged.
Human-in-the-loop
AI prepares and recommends; your staff decide.
Exportable and exitable
You own the system and the data.
Built for multilingual markets
Our systems work across English, French, Portuguese, and Swahili — reflecting the linguistic reality of banking across African markets, where a single institution often operates in several languages at once.
Talk to us about a pilot
Start with the Internal Knowledge Agent — no customer PII, fast to deploy, and immediate value across the bank. A low-risk paid pilot that proves the architecture before you commit to more.
Request a Consultation