Governed AI for Capital Markets Operations
AI that reads, reasons, and acts. Checked by rules and controlled by you.
Ungoverned AI is the operational risk capital markets can't afford.
Capital markets firms are turning to AI to manage growing volumes of unstructured data and tighter settlement timelines. But without the right controls, speed can quickly become operational risk.
Xceptor combines AI with the deterministic, rules-based automation your teams already rely, so you don’t have to choose between speed and accuracy.
60%
Improvement in data extraction accuracy
High-90s%
Accuracy on OTC FX and commodity confirmation extraction
65%
Decrease in manual document processing time
The challenge
Why AI adoption stalls in capital markets
Capital markets operations teams are turning to AI to handle rising volumes, more documents, and shrinking settlement windows. But in a regulated environment, that only works if every AI output is accurate, explainable, and checked before it reaches a downstream process.
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Most AI tools can extract and interpret data. Few can prove every decision was validated before it acted.
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Compressed settlement cycles Less time to identify and resolve exceptions before they become settlement fails.
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Document complexity Confirmations arrive in countless formats that traditional automation struggles to process.
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Ungoverned AI creates risk Without validation and controls, AI errors can move quickly through downstream processes.
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Generic AI lacks context General-purpose AI doesn't understand your rules, workflows, or operational controls.

Extract data from any document
Extract data from any document
Read confirmations, tax forms, and other unstructured documents, including handwriting and tables, without building templates. Up to high-90s accuracy on OTC FX and commodity confirmations extraction, delivered in seconds.
AI combined with deterministic automation
AI combined with deterministic automation
AI runs alongside the rules-based automation your teams already rely on, delivering the speed of AIwithout inheriting uncertainty where precision matters most.
Cross-check against independent sources
Cross-check against independent sources
Extracted confirmation data can be checked against sources such as term sheets, pricing supplements, risk systems and trade-booking systems, not just against its own confidence score.
Enrich data with natural language rules
Enrich data with natural language rules
Replace hard-coded enrichment logic with plain language instructions your business users can write and update themselves.
Generate reconciliation rules
Generate reconciliation rules
AI reviews your data patterns and proposes matching rules, cutting the effort of bringing on a new reconciliation.
How Xceptor governs AI
Most vendors add AI to operations. Xceptor adds AI to a governed automation platform.
AI doesn't operate in isolation. Governance, orchestration, and auditability are part of the platform itself, not a compliance layer added afterwards.Deterministic rules check every AI output.
Extracted values and AI reasoning are validated against your existing business rules, matching logic, and thresholds before moving downstream.
Human-in-the-loop, calibrated to risk
Maker-checker controls support every correction or override before approval by an authorised person.
Confidence scoring, not blind trust
Every extraction carries a field-level confidence score, traced back to its exact location in the source document, with reasoning provided for every outcome.
Multi-tenant isolation by design
Client databases are separated by tenant, so your data can never cross into another client's.
Data is never used to train the model
Your data serves your outcomes and is never used to train the underlying models.
Independently certified
Xceptor is ISO 27001 and SOC 2 certified, with encryption at rest and in transit and continuous monitoring.
Complete audit trail
Every action gets a unique ID and a full record.
Frequently asked questions
Common questions about Governed AI
It means every AI output — an extracted field, a suggested match, a proposed enrichment — is checked against your deterministic business rules before it moves downstream.
No. Maker-checker controls route every correction, override, or low-confidence result to an authorised person.
Every extraction carries a field-level confidence score traced back to its exact location in the source document, with reasoning for the outcome. Low-confidence results are routed for review rather than passed downstream automatically.
Yes. Every action gets a unique ID and a full audit record so you can evidence exactly what happened and why.
Your data is never used to train the underlying models. Client databases are separated by tenant, so your data can never cross into another client's environment.
Xceptor is ISO 27001 and SOC 2 certified, with encryption at rest and in transit and continuous monitoring.
Ready to deploy AI you can trust?
See Xceptor's AI in action and talk through the right level of automation for your operations.
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