OpenTeQ-Logo
Accelerate Digital Transformation Journey

Built for institutions that need to move fast without losing control.

The IT partner for institutions that cannot replace the core

Banking IT rarely fails on technology. It fails on a core that cannot move at the speed the channels need, an examiner asking where a reported figure came from, an ISO 20022 date with a regulatory clock behind it, and a vendor stack assembled by decisions nobody currently in the room actually made.

OpenTeQ works inside those constraints. We build the API layer above core banking so digital channels release on their own schedule, deliver onboarding measured on completed applications, and put governed lineage under regulatory reporting. AI handles KYC extraction and fraud signals, while a person stays accountable for anything affecting credit, pricing, or a customer outcome.

Business-With-Guidewire
Services

Across the institution.

Core integration at the top, channels and reporting beneath, security and modernization holding it together. AI has its own section below.

Core Integration & API Layer

Ship without touching the core.

An API and event layer over core banking and lending systems so digital channels release on their own schedule instead of the core's. This is the single change that most often unblocks a stalled digital programme.

Digital Channels

Onboarding that finishes.

Retail and commercial channel builds measured on completed applications rather than on page views.

Payments & ISO 20022

The migration with a fixed deadline.

Payment integration, message transformation, and the ISO 20022 work that has a regulatory clock attached rather than a business case.

Regulatory & Statutory Reporting

Numbers that survive an examiner.

Governed data lineage so every figure in a submission can be traced to its source without a two-week reconstruction.

Data Platform & Analytics

One definition per measure.

Warehouses and governed metrics so risk, finance, and the business stop reconciling three versions of the same number by hand. Every model on this page eventually depends on this foundation.

Lending & Origination Systems

From application to decision.

Origination workflow, document handling, and decisioning integration across consumer, commercial, and mortgage lending.

Cybersecurity & Fraud Controls

Where downtime is a headline.

Identity governance, threat monitoring, and transaction controls for an estate that regulators and customers both watch.

Quality Engineering

Release without a bridge call.

Test automation and release assurance for core-adjacent systems, so a vendor upgrade stops consuming a quarter.

Managed Services & Support

Run, and keep improving.

Application support and enhancement delivery under an SLA, with escalation designed around settlement and month-end cycles.

AI for Banking

Where AI survives a model risk review.

Banking has run models under supervision for decades, and the governance expectations are correspondingly mature. These five work because the decision path stays explainable and a person owns anything affecting a customer outcome.

Document AI for Onboarding

KYC evidence, read on arrival.

Extraction and verification across identity documents, financial statements, and corporate structures, with discrepancies flagged rather than buried. High volume, low judgement is the condition where AI returns fastest in an institution.

Fraud & AML Signal Detection

Patterns rules were never going to catch.

Anomaly models over transaction and behavioural data, tuned to your own false-positive economics rather than a vendor default.

Credit Decision Support

Explainable, or it does not ship.

Risk and propensity models built with the explainability your model risk function and regulators require, not bolted on afterwards.

Servicing & Contact Centre AI

Resolution, not deflection.

Voice and chat agents handling balance, payment, and servicing enquiries end to end, with clean handoff the moment a case needs a human.

Model Risk & AI Governance

The function that decides what reaches production.

Model inventories, validation documentation, bias and fair-lending testing, and drift monitoring aligned to SR 11-7 expectations and fair lending obligations.

Categories

Five categories, five different regulators.

A credit union and a commercial lender share a technology stack and very little else in how they are supervised or how they make money. Select yours.

Retail & Commercial Banks

A core that cannot move quickly and channels that must. Almost all the achievable value sits in the integration layer and the data platform above the core.

Core integrationAPI and event layers that let channels ship independently.
Digital onboardingApplications that complete rather than abandon at document upload.
Payments modernizationISO 20022 and real-time payment integration.
Regulatory reportingGoverned lineage from core to submission.
Start a conversation

Ready to put AI to work inside supervision?

Most institutions we join have a core they cannot replace and a roadmap that assumes they could. Tell us what the core is blocking and we will tell you what an integration layer would unblock first.

Book a call
Our Partnerships

Accredited on the platforms banks already run

Banking estates are assembled, not designed — core, digital, payments, and reporting each from a different vendor. We hold standing practices with the platform and cloud providers your stack already depends on, so integration and model governance start from an accredited foundation rather than a discovery exercise.

AWS
Microsoft
Google Cloud
Red Hat
Salesforce
ServiceNow
Snowflake
Palo Alto Networks
Okta