Industries

Financial Services

Verified customers, bounded agents and decisions you can explain to a regulator.

Overview

Financial services run on decisions about identified people, made under rules a regulator can inspect. Who the customer is, what their accounts and exposure look like right now, and why an application, payment or call was handled the way it was. Most institutions keep those answers in separate systems, and assembling them for a review is manual work.

Opsian builds the regulated decision layer on top of the core systems already in place. Customers are verified once and recognised across every product, decisions work from live account state rather than overnight extracts, and voice and chat agents act only inside a written policy, escalating to a person with full context. Every decision keeps its evidence, policy and model version, so it can be replayed when challenged.

What we solve

Onboarding that repeats itself

Customers prove who they are again for each product and channel, and analysts re-key the same documents into several systems.

One customer in many systems

Core banking, cards, lending and the contact centre each hold a different version of the customer, so risk and service decisions start from partial facts.

Automation that stops at the phone line

Contact centres cannot let AI act on live regulated calls without limits they can prove, so routine requests still queue for a person.

Decisions nobody can replay

When a regulator or customer challenges a declined application or a blocked payment, rebuilding the evidence, policy and model behind it is a manual investigation.

Products and services

Identity verification

ENTRIX

ENTRIX lets a guest verify who they are at a kiosk and receive their door code, so a property can check guests in around the clock on the systems it already runs.

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Enterprise automation

AI Agents

AI agents for calls, guest messages, complaints, reviews and follow-ups that act through scoped, rate-limited and logged tools, inside limits the operator sets.

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AI engineering

Large Language Models

Private language models grounded in company documents and systems, with fine-tuning, evaluation and guardrails, deployed where your data is allowed to live.

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Data and analytics

Data Intelligence

Pipelines, warehouses and dashboards that turn operational data into decisions, with forecasting, anomaly detection and every figure traceable to its source.

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Integration

Automation and Integration

PMS, ERP and CRM integration, APIs and middleware, process automation and legacy modernisation, so work moves between systems without being typed in twice.

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Security

Cyber Security

Security assessments, identity and access control, monitoring and incident response for the systems that hold identities, payments and operational data.

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AI security

AI Defense

Protection against prompt injection, data leakage and model abuse, with red teaming, AI governance and monitoring, and AI-assisted threat detection across your systems.

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Operations

Managed AI Operations

Monitoring, on-call support, model evaluation, drift detection, updates and patching for AI systems in production, under a service level agreement.

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Audit

Auditing

A structured examination of the operation, its data, security and systems, delivered as a document you own and are free to take to another builder.

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Advisory

Consulting

Strategy, architecture and governance advice for leadership teams, starting with an audit delivered as a document you own and are free to take elsewhere.

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Outcomes

  • Customers verified once and recognised across every product
  • Voice and chat agents that act only inside written policy
  • Risk and service decisions made on live account state
  • Every decision replayable with its evidence, policy and model
Talk to us about Financial Services