AI Assist

Overview

AI Assist is MaiGuard's embedded assistant for fraud and compliance operations. It is purpose-built for financial workflows — not a general-purpose chatbot. Ask questions in plain language and receive structured answers grounded in your tenant's transaction data, rule configuration, and platform signals.

AI Assist launched in May 2026 alongside ML scoring (April 2026) and complements the rule engine and case manager. Use it when analysts need speed: finding high-risk queues, understanding why a transaction scored a certain way, or checking how a policy applies.

Transaction lookups

Query live and recent transaction data without writing SQL or API filters. Examples:

• “Show transactions with riskScore above 70 flagged in the last 48 hours”
• “List REVIEW decisions for customer cust_abc123 this week”
• “Find transfers over ₦500,000 from new devices today”

Responses include inline transaction cards with IDs in monospace, amounts with tabular numerals, and links to open the full record in the transaction table. AI Assist respects the same tenant scoping as the rest of the dashboard — your API key and role determine what data is visible.

Anomaly explanations

When a transaction is flagged, analysts often need the “why” behind the score. AI Assist breaks down contributing signals — velocity breaches, geo anomalies, behavioral biometrics, entity graph links, and ML feature contributions — in human-readable form.

• Explain which rules or models fired for a specific transaction ID
• Summarize feature importance bars from adaptive ML scoring
• Compare shadow-mode output against the live decision when shadow rules are active
• Investigate linked entities in the graph (shared device, IP, or beneficiary patterns)

Policy Q&A

Ask how your configured rules, thresholds, and workflows apply to a scenario. Useful for onboarding new analysts and aligning ops teams on enforcement policy.

• “What happens when riskScore is between 40 and 69?”
• “Which velocity rule applies to card-not-present transactions?”
• “When should I escalate to manual review vs block?”

Answers reference your tenant's active rule set where possible. AI Assist does not provide legal or regulatory certification advice — see the Fraud & AML operator guide for compliance context.

Drawer vs full-page

Role-aware prompt chips appear in the empty state (for example, high-risk queue, explain last BLOCK, shadow rule comparison). Chips disappear after the first message is sent.

Data & safety rules

• Transaction IDs render in monospace with primary styling — same as the rest of the UI
• Monetary values use tabular numerals and standard currency formatting
• Raw JSON, API error codes, and stack traces are never shown in chat output
• A mandatory disclaimer appears below the input: verify critical financial data before acting
• Send is disabled while a response is streaming; use stop to cancel long-running queries

MCP & agents

For programmatic and agent integrations outside the dashboard, MaiGuard publishes machine-readable product context and an MCP server. External agents can fetch product metadata and call scoring tools with structured schemas — complementary to the in-app AI Assist experience.

• →Product context JSON
• →Agent scoring schema
• →Developers hub (MCP package)
• →llms.txt index