The problem: operational visibility that costs people
Your team spends 60–80 hours per month consolidating sales, operations, and finance data in spreadsheets. The forecast arrives late. The numbers don't reconcile. No one knows whether the issue is data or process. And hiring another analyst isn't an option: the budget is frozen.
This is the typical state of affairs at mid-size companies. The CFO or COO needs operational visibility to make decisions. But the infrastructure — fragmented ERPs, legacy systems, manual processes — turns every report into a project.
Why analysts don't scale
As the company grows, so does the manual work. More departments, more data, more consolidations. Hiring additional analysts is expensive and slow. The analyst who builds the forecast also becomes a single point of failure: if they leave, no one knows how it was done.
The problem isn't a shortage of people. It's that the process is designed for people, not for machines.
How it works: agents that consolidate, validate, and report
OuroAI deploys AI agents that:
- Extract data from your systems (ERP, CRM, databases, spreadsheets) without touching the existing infrastructure.
- Validate figures against business rules you define (e.g., "if revenue > 500k, flag for manual review").
- Consolidate reports in a decision-ready format: dashboard, Excel, presentation.
- Alert on anomalies before they reach the CFO.
All of this happens without your team having to do anything. The forecast is ready every Monday at 8 AM. No exceptions.
Business case: B2B services company, 150 employees
Initial situation:
- Operational forecast took 5 business days.
- 3 analysts dedicating 50% of their time to consolidation.
- Errors in recurring revenue figures (±5%).
- Visibility limited to the department level.
OuroAI implementation (6 weeks):
- Agents connected to ERP, CRM, and project spreadsheets.
- Automatic validation of revenue by project, client, and department.
- Dashboard updated daily.
Results (month 3):
- Forecast available in 24 hours (previously: 5 days).
- Error reduction: 30% (from ±5% to ±1.5%).
- 2 analysts reassigned to strategic analysis (not let go).
- Real-time revenue visibility by client, project, and department.
- Estimated ROI: EUR 180k annually in recovered hours + error reduction.
What you need to get started
You don't need to replace your ERP or overhaul your infrastructure. OuroAI works with what you already have:
- Data access: connection to your systems (ERP, CRM, databases, spreadsheets).
- Rule definition: which figures are critical, which validations to apply, which alerts to activate.
- Process owner: one person who understands the current forecast and can validate the new one.
Your team learns to operate the agents while OuroAI builds them. Within 6 weeks, your team is producing new reports independently.
Common objections
"Isn't connecting our systems too complex?"
No. We use standard APIs and connectors. If your ERP has an API, we connect within days. If not, we read data from exported reports.
"What if our data is dirty?"
The agents detect inconsistencies and raise alerts. We define validation rules together. Dirty data gets cleaned once; after that, the agents maintain quality.
"How much does it cost?"
Less than a full-time analyst. Typically, EUR 8k–15k per month for governance and ongoing development. ROI is recovered in 3–4 months.
Conclusion: visibility without dependency
An operational forecast without analysts doesn't mean "without people." It means your analysts stop doing manual work and start doing analysis. The CFO gains real-time visibility. The team scales without adding headcount.
OuroAI builds the agents alongside you. Within 6 weeks, your team operates autonomously. We govern the ecosystem to keep it running.
Schedule a 15-minute call to diagnose how many monthly hours your team is spending on manual forecasting — and what visibility you're currently missing.
