Financial Services
AI for financial services
The highest bar for explainability, auditability and data residency — and the clearest returns when you clear it.
Financial institutions cannot deploy AI they cannot explain to a regulator. That constraint rules out a great deal of what the market is selling and rules in exactly the architecture Magnigent is built on: models that can run inside your perimeter, retrieval with citation and evidence, scoped tool permissions, and a complete record of what an agent did and why. Model risk management is not an afterthought here; it is the reason the deployment is approvable.
Where it moves the needle
Four operations worth starting with
Financial crime operations
KYC refresh, alert triage, adverse media review and case file preparation with the analyst retaining the decision.
Client servicing
Onboarding document collection, servicing request handling and complaint management under regulatory deadlines.
Controls and reporting
Reconciliation, evidence collection for internal audit, and regulatory reporting preparation.
Model and AI governance
Model risk registry, documentation for supervisory review, and continuous monitoring of the agents in production.
Getting started
Where we would start in financial services
One process, one forward deployed engineer, ninety days.
Alert triage or reconciliation — never the decision itself.
Start where an agent prepares and a human disposes. That boundary is what makes the deployment approvable under model risk management, and it is where most of the hours actually go.
Architecture review
One FDE and a solutions architect map your data estate, your existing models and your candidate processes onto the blueprint, and tell you plainly what is missing.
First process, supervised
The FDE embeds with the team that owns the process. One process reaches production in recommend-only mode, inside your infrastructure, with an eval suite behind it.
Measure, then decide
Cost per unit of work, quality against the eval set, and an honest account of the exceptions we got wrong. The results decide whether the programme continues.
Handover or managed operation
Your team takes ownership, or we keep running the operation against an SLA. Both are supported; the choice is yours and it is not structural.
Business operations
Most relevant to financial services
Finance Ops
Close, AP/AR, spend control
Use casesUser Ops
Care, support, trust and safety
Use casesTech Ops
Incidents, change, infrastructure
Use casesOther industries: TelecomEnergyManufacturingInsuranceRetail
Let's talk about the first process
Tell us the operation that costs the most and is documented the least. We will tell you honestly whether it is a good first candidate.