Digital Assets
Treasury, Liquidity, and Counterparty Risk
Business Advisory
Phoenix helps digital asset managers, exchanges, lending desks, token funds, and other digital-asset firms address the issues that most often create funding strain, liquidity surprises, and counterparty losses: fragmented treasury views across banks, custodians, venues, and wallets; weak intraday liquidity visibility; incomplete exposure aggregation across CeFi and DeFi; inefficient collateral and margin workflows; and weak stress governance and reporting.
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Treasury operating model and funding design
Design the target-state treasury model for fiat, stablecoins, and collateral across banks, custodians, exchanges, wallets, and lending venues; define cash forecasting, funding ladders, leverage triggers, concentration thresholds, and contingency funding playbooks so treasury becomes proactive instead of reactive. -
Intraday liquidity and liquidation-risk management
Build a 24/7 liquidity framework that measures time-to-liquidate, margin stress, redemption pressure, lockups, gates, venue depth, slippage, bridge risk, and chain-specific constraints so firms can manage digital-asset liquidity with the same rigor they apply to market and credit risk. -
Counterparty exposure and limit governance
Establish a single counterparty framework spanning exchanges, OTC dealers, custodians, lenders, DeFi protocols, bridges, and liquidity providers; aggregate exposure, concentration, and PFE/CVA-style views where applicable so leadership sees one counterparty picture instead of siloed venue-by-venue reports. -
Collateral, margin, and capital efficiency
Strengthen eligibility rules, haircut logic, call and dispute workflows, rehypothecation controls, and onchain/offchain collateral treatment to reduce trapped liquidity, avoid over-collateralization, and improve funding efficiency during normal and stressed conditions. -
Stress testing, governance, and reporting readiness
Define the scenario library, limit framework, breach governance, committee reporting, and regulator-, investor-, and management-ready evidence packs required to run treasury, liquidity, and counterparty risk as a disciplined operating capability rather than a periodic oversight process.
AltsCentralAI Solutions
AltsCentralAI gives Treasury, Liquidity, and Counterparty teams a single data, model, and workflow layer across onchain and offchain markets. The platform is positioned to replace fragmented manual stacks with reusable services, AI-native workflows, and quantum-ready optimization, so implementations get faster and cheaper over time and firms can operate with leaner teams at institutional quality.
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Unified treasury, liquidity, and exposure control plane: Consolidate cash, positions, wallet balances, collateral state, margin data, funding files, venue exposures, and onchain activity into one canonical data model so treasury and risk operate from a single version of the truth across custodians, exchanges, protocols, and internal systems.
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AI-driven intraday liquidity intelligence: Use AI-enabled liquidity agents and scenario workflows to run intraday liquidity analytics, liquidation forecasts, margin-stress views, time-to-liquidate calculations, and executive-ready narratives automatically rather than waiting for spreadsheet-based packs and manual commentary.
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Counterparty network intelligence across CeFi and DeFi: Build a knowledge graph that links legal entities, wallets, protocols, exchanges, bridges, and financing relationships so firms can see concentration, dependency chains, and exposure aggregation across centralized venues and onchain counterparties in one network view.
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RPA-style operations automation and exception handling: Automate recurring treasury and risk operations such as statement ingestion, margin-call intake, collateral dispute routing, cash and position reconciliations, break classification, approvals, notifications, and reporting-pack generation using the case/workflow layer, Data Factory, Logic Apps, and API-driven connectors. That reduces manual touchpoints, compresses turnaround times, and improves audit evidence.
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Quantum-ready optimization where it actually fits: Use classical AI and optimization by default, and introduce quantum-ready methods for the specific problems that are highly constrained and capital-intensive—collateral allocation, funding-ladder optimization, venue allocation, balance-sheet usage, and routing decisions under liquidity, haircut, and concentration constraints.
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Blockchain-aware treasury and liquidity analytics: Integrate onchain liquidity metrics, DEX/CEX depth, pool states, bridge exposure, wallet balances, and crosschain settlement events into the same treasury and counterparty workflows so AI and optimization models are working off actual blockchain state, not only offchain extracts.
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Automated reporting and management packs: Generate recurring treasury, liquidity, counterparty, and capital packs from the same governed data hub, with AI-assisted narratives, approval workflows, and traceable audit trails for leadership, investors, administrators, and regulators where applicable.
Technology Execution & Delivery
Phoenix can lead, build, or augment the programs required to operationalize treasury, liquidity, and counterparty risk. The model is not one-off consulting; Phoenix positions AltsCentralAI as the execution layer for advisory engagements so data mappings, controls, guardrails, workflows, and integrations become reusable assets. Phoenix’s advisory teams include emerging-technology practitioners, risk and compliance experts, and AI and quantum developers, with North America–based leadership and global execution capacity for cost-efficient delivery.
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End-to-end program leadership: Stand up the target operating model, governance, workplan, dependencies, testing strategy, escalation playbooks, and management reporting for Treasury, Liquidity, Counterparty, and Collateral functions so the program is executed as a controlled transformation, not a set of disconnected workstreams.
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Data and integration delivery: Connect exchanges, custodians, banks, OTC venues, wallets, DeFi protocols, risk engines, ERP systems, treasury platforms, and general ledgers using canonical data schemas and one integration fabric instead of fragmented point-to-point builds.
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AI, model, and optimization implementation: Deploy AI models for liquidity forecasting, anomaly detection, break classification, counterparty scoring, and narrative generation, plus quantum-ready optimization services where the decision problem warrants it, all with model inventory, explainability, approval controls, and audit discipline.
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Workflow and controls engineering: Implement margin, reconciliation, exception-management, approval, and reporting workflows with human-in-the-loop governance so automation improves speed and cost efficiency without weakening control, evidencing, or accountability.
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Flexible execution model: Provide Phoenix-led delivery teams, co-sourced execution, or staff augmentation across treasury SMEs, solution architects, data engineers, blockchain engineers, risk quants, PMO, QA/UAT, and production support depending on where the client needs speed, depth, or operating leverage.