Sold by: Sphere
Sphere builds custom cash flow and liquidity intelligence solutions on AWS, unifying ERP, treasury, and banking data into rolling forecasts and actionable risk insights.
Overview
Cash Flow Intelligence Implementation Services on AWS
Sphere provides professional services to design, build, integrate, and deploy cash flow forecasting and liquidity intelligence solutions using AWS services. The engagement helps treasury, finance, and FP&A teams consolidate ERP, AR, AP, banking, and treasury data into continuously updated cash flow forecasts, working-capital analysis, and scenario planning.
Sphere implements these capabilities within the customer's AWS environment using services such as Amazon SageMaker AI, Amazon S3, AWS Glue, AWS Lambda, AWS Step Functions, Amazon Redshift, Amazon Athena, Amazon QuickSight, AWS Secrets Manager, AWS Key Management Service, and Amazon CloudWatch.
What Sphere Delivers Sphere's implementation services can include AWS architecture design, financial data integration, forecasting model configuration, automated data-processing workflows, analytics dashboards, monitoring, security configuration, testing, deployment, documentation, and knowledge transfer.
Rolling Cash Flow Forecasting Sphere configures AWS-based workflows that combine historical and current financial information to deliver rolling 13-week cash flow forecasts with confidence ranges, current and projected liquidity visibility across multiple entities, early liquidity-risk indicators, AR and AP trend analysis, working-capital insights, cash-flow variance analysis, and forecast-versus-actual comparisons.
Finance and treasury teams retain authority over financial and treasury decisions. Forecasts, alerts, and recommendations are designed to support human analysis and decision-making.
Scenario Analysis Sphere configures scenario models for factors that affect liquidity, including DSO and DPO changes, hiring plans, capital expenditures, customer payment timing, supplier payment terms, revenue assumptions, collection assumptions, and other customer-defined variables.
ERP, Treasury, and Banking Integration Sphere integrates AWS-based cash flow workflows with NetSuite, SAP, Oracle, Workday, QuickBooks, and other financial applications. Banking and financial-data connectivity can be implemented through Plaid, Codat, supported bank APIs, or other customer-approved integration methods.
Security and Data Isolation Customer financial data remains isolated within the customer's AWS environment. Implementations can use AWS Secrets Manager for credential management, AWS Key Management Service for encryption, Amazon CloudWatch for monitoring, and role-based access controls to restrict data access to authorized personnel.
Five-Phase Implementation Approach
- Assessment - Review the customer's AWS environment, treasury workflow, financial systems, banking connections, historical data, and forecasting requirements.
- Architecture and Planning - Define the AWS architecture and required machine learning, data integration, analytics, security, and workflow services.
- Build and Configure - Implement AWS services, financial data pipelines, forecasting models, integrations, dashboards, scenario workflows, and access controls.
- Pilot and Validate - Run a supervised pilot alongside the customer's existing forecasting process, compare forecasts with actual results, and refine models and assumptions.
- Deploy and Enable - Move the solution into production with documentation, knowledge transfer, monitoring, and optimization.
Typical Deliverables Typical deliverables may include AWS solution architecture and infrastructure configuration, ERP and banking data pipelines, cash flow forecasting models, liquidity-risk workflows, scenario-analysis models, treasury dashboards, forecast-versus-actual reporting, monitoring configuration, technical documentation, and knowledge transfer.
The exact AWS architecture, services, integrations, forecast cadence, deliverables, and implementation scope are defined with the customer before the AWS Marketplace private offer is issued.
Any AWS infrastructure or AWS service usage charges incurred within the customer's AWS account are separate from Sphere's professional services fees and are the responsibility of the customer.
Get Started The engagement begins with a discovery conversation and assessment of the customer's AWS environment, treasury workflow, financial systems, historical data, and forecasting priorities. Sphere then defines the recommended architecture, implementation scope, deliverables, and private-offer structure.
Highlights
- Gain a unified view of current and projected liquidity by integrating ERP, AR, AP, treasury, and banking data on AWS. Sphere connects platforms such as NetSuite, SAP, Oracle, Workday, QuickBooks, Plaid, Codat, and supported banking APIs into a purpose-built architecture using Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, and Amazon SageMaker AI, replacing fragmented spreadsheets with a single, continuously updated cash position.
- Move from static reporting to forward-looking intelligence with rolling 13-week cash flow forecasts, liquidity-risk indicators, working-capital analysis, DSO and DPO scenario modeling, and forecast-versus-actual monitoring delivered through Amazon QuickSight treasury dashboards. Finance teams can identify potential shortfalls earlier and evaluate the impact of payment-timing or collection-policy changes before they occur.
- Follow a structured five-phase delivery model covering assessment, AWS architecture design, implementation, pilot validation, and production deployment, with clearly defined deliverables at each stage. Typical outputs include financial data pipelines, forecasting models, scenario-analysis workflows, treasury dashboards, monitoring configuration, technical documentation, and knowledge transfer.
Details
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Support
Vendor support
Sphere provides support throughout the Cash Flow Intelligence engagement through its cloud engineering, data, and Client Success teams. During the Active Engagement
Support covers AWS architecture assistance, financial-data integration, forecasting-model configuration, dashboard implementation, testing, deployment, troubleshooting, documentation, and optimization within the agreed project scope. The engagement follows five phases: assessment, AWS architecture design, implementation, pilot validation, and production deployment, with deliverables reviewed at each stage.
Typical engagement deliverables include AWS architecture documentation, financial data pipelines, forecasting models, scenario-analysis workflows, treasury dashboards, monitoring configuration, integrations, and supporting technical documentation. Knowledge transfer is provided so the customer's team can operate and extend the solution following deployment.
Contacting Support Customers can reach Sphere at https://www.sphereinc.com/contact/ . Sphere responds to AWS Marketplace customer inquiries within two business days. Private offers may include enhanced response-time commitments beyond this baseline.
Troubleshooting, Service Issues, and Refunds Questions related to troubleshooting, service issues, or commercial terms should be submitted through the same contact channel. Refund requests or other commercial adjustments are handled according to the terms of the applicable AWS Marketplace private offer.