MAIA is a universal rule engine and orchestration platform. It translates complex policies, standards, and logic into governed, explainable decisions—powering everything from revenue recognition to capital markets, workflow automation, data transformation, and beyond.
Universal decisioning for any complex domain
Route decisions to workflows, systems, and teams
Revenue · Workflows · ELT · Capital Markets · Accounting
MAIA's architecture is domain-agnostic. The Rule Engine and Orchestration layer form the brain. Everything else is a use case.
At the core sits MAIA's Rule Engine—a domain-agnostic decisioning layer that translates complex policies, standards, and mathematical logic into versioned, explainable rules. It works the same whether you're recognizing revenue, explaining risk, or orchestrating an ELT pipeline.
Every rule outcome flows into the Orchestration layer. Decisions are routed to the right systems, teams, and timelines—automatically. Whether that's a revenue journal, a workflow approval, a transformation job, or a capital markets calculation, the engine drives it.
The same engine powers a growing constellation of use cases: revenue recognition under ASC-606 and IFRS 15, enterprise workflow automation, data transformation and ELT pipelines, capital markets risk and quantitative models, and a full accounting rule engine with subledger.
Every decision is fully traceable. Inputs, rule versions, outputs, and downstream effects are captured in an immutable audit trail—ready for regulators, controllers, and internal review without manual assembly.
MAIA's governance layer controls who can author rules, what can be deployed, and when. Versioning, conflict detection, simulation, and human-in-the-loop approvals are built into the engine—not bolted on.
MAIA's Rule Engine is not built for one vertical. It's a universal policy-execution layer—capable of handling the mathematical complexity of capital markets, the regulatory precision of revenue recognition, and the operational logic of enterprise workflows.
MAIA's architecture is designed to expand. The same rule engine and orchestration layer that powers revenue recognition today can be applied to any domain where complexity, precision, and explainability matter.
ASC-606 and IFRS 15 compliance from contract ingestion to financial close and disclosure. Allocation, eligibility, schedules, deferrals, and journals—all driven by rule outputs.
Complex approval chains, escalation logic, and cross-system handoffs expressed as governed rules—not hardcoded workflows. Any process, any team, any system.
Rule-driven data pipelines where transformation logic is versioned, governed, and auditable—not hidden in scripts. Bring the same explainability to your data layer.
High-complexity mathematical computation for risk explain, quantitative models, pricing logic, and regulatory calculations—governed by the same rule engine, explainable at every step.
A purpose-built accounting engine for complex multi-GAAP environments—journal generation, subledger management, and period-end close driven by explainable rules.
Each use case runs on the same semantic model, the same audit trail, and the same governance framework.
One engine for revenue, risk, workflows, ELT, and accounting—no separate tools, no reconciliation between systems.
Every decision carries a full trace—inputs, rules, versions, and outputs—ready for audit without manual assembly.
Authoring, testing, approval, deployment, and versioning are built into the engine. Not an afterthought.
As your needs grow, MAIA grows with them. New use cases plug into the same engine, the same audit trail, the same governance model.
Talk to the MAIA team about your most complex decisioning challenges—revenue, risk, workflows, data, or accounting.
Start a ConversationMAIA is not a vertical application. It's the decisioning and orchestration platform that powers them. One semantic model, one audit trail, one governance framework—applied to every domain where complexity and precision matter.
Most enterprise platforms are built for a vertical. MAIA is built for the engine. The Rule Engine and Orchestration layer are the core—and they power a growing set of use cases across finance, operations, data, and markets.
The same engine that handles ASC-606 revenue recognition handles capital markets risk, ELT pipelines, and workflow logic. No rewiring.
Natural-language rule authoring, intelligent conflict detection, and automated suggestion—reducing the time to express complex logic.
Versioning, audit trail, simulation, and human-in-the-loop approval are not optional. They are built into every layer of the engine.
Open APIs and configurable pipelines connect MAIA to any source system or downstream target. New use cases plug into the existing engine.
The core. Translates complex policies, standards, and logic into versioned, executable, explainable decisions across any domain.
Routes rule outcomes to downstream systems, workflows, teams, and timelines—without manual handoffs or custom integration code.
A unified data model that represents contracts, obligations, events, and outcomes in a way every pillar can share and query.
Test rule changes against historical and synthetic data before they reach production. See the impact before committing.
Full authoring controls, approval workflows, conflict detection, and immutable versioning across every rule and configuration.
Natural-language authoring and intelligent suggestions reduce the time to express complex rules—without sacrificing precision.
ASC-606 / IFRS 15 from contract to disclosure. The engine determines recognition, drives schedules, and generates journals.
Governed approval chains and escalation logic for any business process.
Rule-driven pipelines where transformation logic is versioned and auditable.
Quantitative models, risk explain, and regulatory calculations at scale.
Multi-GAAP journal generation and period-end close on explainable rules.
All use cases share the same Rule Engine, Orchestration layer, semantic model, and audit trail.
Walk through how MAIA maps to your decisioning challenges.
Start a ConversationMAIA's Rule Engine is domain-agnostic by design. The same engine that handles the mathematical precision of capital markets risk models handles the regulatory nuance of revenue recognition and the operational logic of enterprise workflows—with full explainability at every step.
Express complex policies, standards, and mathematical logic as readable rules. No code required. The engine handles execution, versioning, and audit.
From quantitative finance models to ASC-606 allocation calculations to ELT transformation logic—MAIA handles high-complexity computations with precision and traceability.
Identify overlapping or contradictory rules before deployment. Run what-if simulations against historical and synthetic data. Know the impact before it happens.
Define escalation paths, override protocols, and approval workflows directly in the rule model. Every exception is governed, not improvised.
The same structured, traceable path—regardless of the domain. Revenue recognition, risk calculation, workflow logic, or data transformation all flow through the same engine.
Determine recognition events, drive schedules, generate journals under ASC-606 and IFRS 15.
Govern complex approval chains, routing logic, and cross-system handoffs with versioned rules.
Drive ELT pipeline logic with governed, auditable transformation rules—not scripts.
Execute quantitative models, risk explain, and regulatory calculations with mathematical precision and full traceability.
Generate multi-GAAP journals and manage subledger entries through rule-driven accounting logic.
Whether it's revenue, risk, data, or accounting—we'll walk through how the Rule Engine handles it.
Start a ConversationMAIA's Rule Engine and Orchestration platform are domain-agnostic. Every use case below runs on the same semantic model, the same audit trail, and the same governance framework—just applied to a new domain.
MAIA's Revenue use case runs the complete recognition lifecycle—from contract ingestion to financial close and disclosure—driven by rule outputs, not custom code.
Distribute transaction price across obligations based on SSP.
Determine which obligations are satisfied, when, and under what conditions.
Generate recognition schedules updated automatically on modification.
Manage deferred balances with full journal support and period-end reconciliation.
Complex approval chains, escalation paths, and cross-system handoffs—expressed as versioned, governed rules instead of hardcoded workflows. Any process. Any team. Any system.
Conditions and outcomes defined in the rule engine, not buried in workflow config.
Human-in-the-loop steps with governed override protocols.
Route decisions to downstream systems without custom integration code.
Apply MAIA's rule engine to the data layer. Transformation logic becomes versioned, explainable, and auditable—not hidden in scripts or notebooks. Bring governance to your ELT pipelines.
Define transformation rules in natural language. The engine executes them.
Every data transformation carries a full trace—source, rule version, output.
Rules drive pipeline execution—branching, filtering, enrichment—without custom code.
MAIA brings explainability and governance to high-complexity mathematical computation. Quantitative models, risk attribution, regulatory capital calculations—all executed by the rule engine, all traceable to the inputs and logic that drove them.
Decompose risk outputs into their contributing factors—rule by rule, input by input.
Govern complex financial models as versioned rules with simulation and what-if.
Execute Basel, FRTB, or bespoke regulatory logic through the same governed engine.
A purpose-built accounting engine for complex multi-GAAP environments. Journal generation, subledger management, and period-end close—all driven by explainable accounting rules. The same engine. A new domain.
Rule-driven journal entries for any accounting standard or policy.
Maintain detailed subledger balances reconciled to the general ledger automatically.
Close driven by rule outcomes and schedules—reconciled, validated, ready.
The power of MAIA is not any single use case. It's that every use case runs on the same engine, shares the same audit trail, and benefits from the same governance model—so as your needs grow, the platform grows with you.
Contracts, obligations, events, and outcomes share one model across all use cases. No reconciliation between systems.
Every decision across every use case is captured in the same immutable trail—reviewable by auditors, controllers, and regulators.
Add a new use case without re-architecting. The engine, governance, and orchestration are already there.
Whether you're starting with revenue, risk, data, or accounting—we'll map MAIA to your specific challenge.
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