Solutions
SOLUTIONS
Solutions Designed Around Business Outcomes
We do not begin with software.
We begin with the business problem.
ERP Transformation
Evaluate and improve the systems responsible for managing your organization’s financial and operational information.
Our ERP transformation methodology considers:
People → Process → Technology → Data → Controls → Reporting
Financial Process Transformation
Modernize financial workflows by reducing spreadsheets, manual reconciliations, redundant entry, inconsistent processes, and disconnected information.
Focus areas include:
- Close management
- Billing
- Collections
- Project accounting
- Procurement
- AP
- AR
- Revenue recognition
- Cash flow
- Financial reporting
ERP + CRM Integration
Connect customer-facing activity with financial information.
Integrating CRM and ERP platforms can provide visibility from:
Lead → Opportunity → Contract → Project → Invoice → Payment → Customer Profitability
Project Financial Management
Create stronger financial visibility across project-based organizations.
Solutions may incorporate:
- Project budgets
- Actual costs
- Commitments
- Forecasts
- Revenue
- Billing
- WIP
- Profitability
- Cash flow
Data & Analytics
Convert fragmented information into actionable reporting.
Our analytics solutions help answer questions such as:
- Which customers are most profitable?
- Which projects are performing above or below budget?
- Where are margins declining?
- Which receivables represent the greatest financial risk?
- Which vendors are driving costs?
- Which operational trends require management attention?
- Where are forecast results changing?
AI-Enabled Business Operations
Artificial intelligence should enhance business processes—not create another disconnected technology layer.
We help organizations examine how AI can support:
- Accounting
- ERP
- CRM
- Operations
- Reporting
- Customer service
- Project management
- Data analysis
- Document management
- Workflow automation
AI Readiness Assessment
Before implementing AI, organizations should understand whether the underlying data and processes are ready.
Our assessment evaluates:
- Data quality
- System architecture
- Process maturity
- Integration capability
- Security
- Governance
- Data ownership
- Reporting structures
- Automation opportunities
- AI use cases