Devancore Inc.
Devancore Post-Trade Glossary
Glossary
AI Agent Post-Trade Ops
AI agent post-trade operations use controlled agents to detect exceptions, assemble evidence, draft actions, route approvals, and record outcomes without bypassing human supervision.
Document source: https://devancore.com/glossary/ai-agent-post-trade-operations/
Devancore Post-Trade Glossary
AI Agent Post-Trade Ops
AI agent post-trade operations use controlled agents to detect exceptions, assemble evidence, draft actions, route approvals, and record outcomes without bypassing human supervision.
Definition
AI agent post-trade operations are controlled workflows where an agent helps post-trade teams move from exception detection to prepared action. The agent may find a break, retrieve evidence, compare records, classify a reason, draft a correction, route an approval, or explain a settlement state. The final state change still belongs to the governed workflow.
The distinction from conversational finance matters. Conversational finance asks questions over entitled records. An AI agent can take the next operating step: investigate, assemble, draft, and route. That makes the control design stricter. The more the agent can prepare, the more clearly the firm must define what it may read, what it may propose, what it may not post, and how its work is recorded.
Agent work to controlled record
Agent work to controlled record
The useful agent output is the record it prepares, not the fluent explanation.
| Agent task | Source records | Control question |
|---|---|---|
| Detect | Trade blotter, settlement status, reconciliation breaks, cash, positions, and exception queues | What exception or risk state triggered the agent? |
| Investigate | Confirmations, allocations, custodian files, messages, FIX logs, statements, and prior workflow events | Can the agent show the evidence behind its finding? |
| Classify | Reason codes, tolerances, account scope, counterparty, security, amount, and aging | Is the issue a timing item, data break, settlement fail, or control exception? |
| Draft | Correction template, approval policy, user role, downstream API, and record status | Is the proposed action complete but not silently posted? |
| Route | Owner, supervisor, maker-checker rule, escalation path, and service-level threshold | Who has authority to approve or reject the proposed action? |
| Record | Prompt, retrieved keys, citations, proposal, approver, instruction, and outcome | Can the agent's work be reconstructed later? |
Post-trade work is record-bound. A trade break, settlement fail, cash mismatch, position difference, unmatched confirmation, stale price, or missing instruction is not solved by text. It is solved when the relevant source records are identified, compared, classified, corrected or escalated, and closed with evidence.
The agent should therefore be treated as a preparer. It can reduce search time, gather fragments, summarize evidence, and draft the next step. It should not become an invisible actor changing books, approving exceptions, submitting instructions, or overriding controls without the same entitlement and review that would apply to a human workflow.
The operating record is the center. If the agent proposes a break resolution, the record should show the prompt or trigger, retrieved records, source keys, as-of times, logic summary, proposed action, user, checker, downstream event, and final outcome. Without that chain, the agent creates a new exception while trying to close the old one.
AI post-trade agent — responsibility boundary
Devancore · responsibility matrix
| Work | Agent | User | Checker | System | Audit |
|---|---|---|---|---|---|
| Detect exception | R | A | I | C | E |
| Retrieve evidence | R | A | I | C | E |
| Classify reason | R | A | C | C | E |
| Draft action | R | A | C | C | E |
| Approve change | I | R | A | C | E |
| Post outcome | I | A | C | R | E |
| Review trail | C | C | C | C | A |
How it works
AI agent post-trade operations work by separating investigation from state change. The agent can help investigate and draft. The system of record, approval workflow, and downstream API determine whether anything changes.
Controlled agent workflow
Controlled agent workflow
Post-trade agents should prepare work, not erase controls.
| Step | Data required | Failure mode |
|---|---|---|
| Receive trigger | Break, fail, unmatched confirmation, stale record, aged exception, or user request | The agent starts from a vague prompt rather than a named operating event |
| Check entitlement | User role, account scope, record permissions, action rights, and downstream system access | The agent retrieves or proposes work outside the user's authority |
| Retrieve evidence | Source records, documents, messages, transaction IDs, as-of timestamps, and lineage | The explanation cannot be tied to source rows |
| Draft action | Reason code, proposed correction, message text, workflow target, affected records, and expected outcome | The agent writes a plausible action without enough evidence |
| Route approval | Maker-checker rule, approver, escalation policy, materiality, and time sensitivity | A state change bypasses review because the agent appears confident |
| Capture outcome | Approval, rejection, posting event, instruction ID, downstream response, and closed evidence package | The firm cannot replay what the agent did and why |
The workflow starts with a trigger. That trigger may be a user question, trade break, settlement fail, unmatched confirmation, cash difference, aged exception, or stale operating record. A controlled agent should start from a named event, not from a broad request to "fix post-trade."
Entitlement comes next. The agent should inherit the same access boundaries that apply to the user or workflow. If the user cannot see a portfolio, account, custodian file, counterparty, or exception queue in the source system, the agent should not retrieve or summarize it.
Evidence retrieval is the agent's practical value. It may collect confirmations, allocations, FIX logs, SWIFT messages, custodian files, broker comments, emails, PDFs, workflow notes, prior exceptions, and source records. The answer should retain citations to those records, not only a narrative explanation.
Drafting is the controlled action boundary. The agent may draft a correction, message, escalation, reason code, owner assignment, or proposed settlement repair. That draft should remain visibly different from a posted record. The checker should see what the agent used, what it concluded, and what will change if approved.
Approval and outcome close the workflow. A maker-checker rule, supervisor review, service-level policy, or downstream system permission decides whether the draft proceeds. The final record should preserve approval, rejection, posting event, instruction ID, downstream response, and closed evidence package.
This is why agentic post-trade work should avoid autonomous language. Institutional operations need prepared work with controls. They do not need an opaque actor creating or changing records outside supervision.
AI agent post-trade ops — control state
Devancore · control state
Before
Uncontrolled agent
- Answers from mixed or stale records
- Suggests fixes without cited source keys
- Blurs query, draft, approval, and posting
- Leaves no replayable trail of prompt, evidence, and outcome
After
Controlled agent workflow
- Starts from a named exception, fail, break, or user request
- Retrieves entitled records with citations and as-of time
- Drafts actions for maker-checker approval
- Records prompt, sources, proposal, approver, and outcome
In Devancore™
Devancore — AI agent evidence chain
Devancore · evidence stack
Trigger
The workflow starts from a named break, fail, exception, stale record, or user request tied to an operating object.
Entitled retrieve
The agent reads only records the user or workflow may access, with source keys, timestamps, and record lineage attached.
Draft
The agent prepares a reason, evidence bundle, correction proposal, message, or escalation without silently changing the book.
Approval
Maker-checker, supervisor review, or workflow policy decides whether the proposed action can proceed.
Outcome
Posting result, rejection, downstream response, user, timestamp, and evidence remain attached to the post-trade record.
Devancore supports AI agent post-trade operations as a controlled operating-record and workflow layer. It can help connect questions, triggers, source records, citations, draft actions, approvals, downstream responses, and audit trail around post-trade work.
Devancore should not be framed as an autonomous trader, execution venue, broker, custodian, clearing broker, adviser, compliance officer, or accounting authority. Its role is to support the record and workflow around post-trade tasks: trade capture, enrichment, confirmation, reconciliation, settlement status, exception management, evidence assembly, and reporting inputs.
In a Devancore-style workflow, the agent starts with a named event. A failed trade, cash break, unmatched confirmation, stale position, or user request becomes a controlled task. The agent retrieves entitled evidence, drafts an action, and routes it into the approval path. The record shows what was read, what was proposed, who approved, what posted, and what remained open.
This matters when operations teams use agents across traditional and digital asset workflows. The agent may inspect a trade record, custodian status, settlement instruction, on-chain event, cash movement, or reconciliation break. The same principle applies: source evidence first, action boundary second, approval third, audit trail always.
Conversational finance gives the user a controlled way to ask. AI agent post-trade operations give the system a controlled way to prepare. Devancore's value is keeping both attached to records that operations, compliance, finance, and supervisors can review.
Related terms
- Conversational Finance Ops
https://devancore.com/glossary/conversational-finance-ops/
Conversational finance for investment operations is a permissioned natural-language interface over operating records: the question, the entitled sources, the cited evidence, and a workflow action that still needs approval.
- Maker-Checker Workflow
https://devancore.com/glossary/maker-checker-workflow/
A two-person segregation of duties control requiring that any action entered by one operator must be reviewed and approved by a second before it takes effect.
- Broker-Dealer Audit Trail
https://devancore.com/glossary/broker-dealer-audit-trail/
The immutable, chronologically linked record of every trade lifecycle event — from order receipt through settlement — maintained to satisfy SEC Rules 17a-3 and 17a-4, FINRA clock synchronization requirements, and CAT reporting obligations.
- Operational Risk Management Securities
https://devancore.com/glossary/operational-risk-management-securities/
The identification and mitigation of risks from failed processes, human errors, technology failures, and external events that disrupt securities operations or cause financial loss.
- Trade Reconciliation
https://devancore.com/glossary/trade-reconciliation/
The systematic comparison of internal trade and position records against external sources to identify breaks and resolve them before they become settlement failures.
- Trade Capture System
https://devancore.com/glossary/trade-capture-system/
The system that books an executed trade into the firm's official records and initiates the post-trade processing workflow from enrichment and matching through to settlement instruction.
- Trade Enrichment Automation
https://devancore.com/glossary/trade-enrichment-automation/
The automated augmentation of a raw trade capture with settlement instructions, counterparty identifiers, and regulatory fields required for clearing and settlement.
- Trade Confirmation Matching
https://devancore.com/glossary/trade-confirmation-matching/
The automated comparison of trade details between counterparties to verify both sides recorded the same economics before settlement instructions are generated.
- Trade Break Management
https://devancore.com/glossary/trade-break-management/
The exception workflow for identifying, classifying, and resolving post-trade discrepancies before they breach the T+1 affirmation cutoff or trigger CSDR cash penalties.
- Failed Trade Settlement
https://devancore.com/glossary/failed-trade-settlement/
A trade that does not settle on its contractual settlement date because one party cannot deliver the required securities or cash, triggering penalties and buy-in procedures.
- Post-Trade Operations Software
https://devancore.com/glossary/post-trade-operations-software/
Technology automating post-execution back-office workflows — trade capture, confirmation, settlement, reconciliation, position management, and regulatory compliance.
- System of Record Securities Operations
https://devancore.com/glossary/system-of-record-securities-operations/
The authoritative single source of truth for a firm's positions, trades, and accounts — the system of record that all other systems, reports, and compliance functions derive from.
- Segregation of Duties (SoD)
https://devancore.com/glossary/segregation-of-duties-financial-software/
Segregation of duties (SoD) is the internal control principle that no single operator can book, approve, and settle a transaction — enforced through conflict matrices, maker-checker workflows, and access certification reviews to satisfy SOX Section 404.
- Brokerage API Post Trade
https://devancore.com/glossary/brokerage-api-post-trade/
Brokerage API post trade integration turns API orders, fills, journals, transfers, and account events into a controlled operating record with mapping, status, exceptions, reconciliation, and evidence.
- OMS To Post Trade Integration
https://devancore.com/glossary/oms-to-post-trade-integration/
OMS to post-trade integration is the controlled handoff from order and execution records into allocation, confirmation, enrichment, settlement instruction, reconciliation, supervision, and reporting workflows.
- Fixed Income Post Trade Data
https://devancore.com/glossary/fixed-income-post-trade-data/
Fixed income post-trade data is the instrument, trade, pricing, accrual, settlement, reporting, and evidence data required to move a bond trade from execution into controlled operating records.
- Outsourced Execution Post Trade Controls
https://devancore.com/glossary/outsourced-execution-post-trade-controls/
Outsourced execution post-trade controls verify fills, allocations, confirmations, settlement data, exceptions, and books-and-records evidence after an external desk executes a trade.
- Portfolio Risk Controls
https://devancore.com/glossary/portfolio-risk-controls/
Portfolio risk controls turn exposures, limits, liquidity, counterparty, collateral, and settlement signals into governed post-trade checks, exceptions, approvals, and evidence.
- Financial Transaction Reconciliation
https://devancore.com/glossary/financial-transaction-reconciliation/
The three-way match between sub-ledger, general ledger, and external statement that validates balance sheet integrity — with every break tracked as gross exposure for Rule 17a-5 and Rule 15c3-1 compliance.
- Regulatory Reporting — Securities
https://devancore.com/glossary/regulatory-reporting-securities/
The post-trade obligation to submit structured trade data — transactions, positions, and order lifecycle events — to regulators under MiFID II, EMIR, Dodd-Frank, and CAT to establish the supervisory record of each trade.
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