Guidant Stratos - An Agentic AI Solution for Executive Decis

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•🔹 Business Challenge

•Finance teams struggle to forecast cash flow accurately due to lack of real-time visibility into operational challenges like delayed shipments impacting short term liquidity.

•🔹 Complexity

•Manual reconciliation and static dashboards lack predictive capabilities and real-time responsiveness.

•🔹 Guidant AI Solution

•Guidant AI agents collect real-time AR/AP data from SAP S/4 HANA, insights about process bottlenecks from Signavio, other correlating data from multiple sources.

•Using these inputs, they detect anomalies, identify at-risk receivables, recommend potential mitigations, assist in evaluating solutions with “what if” analysis, and assist in implementing the selected solution.

•🔹 Business Impact

•Reduced forecasting errors, accelerated decision cycles, and improved liquidity planning across regions.

•🔹 Business Challenge

•Enterprises rely on complex supplier ecosystems but lack real-time visibility into supplier risks—leading to disruptions, compliance exposure, and reactive decision-making.

•🔹 Complexity

•Traditional systems offer static reports and fragmented data across procurement, finance, and compliance. Risk signals are often delayed or missed entirely.

•🔹 Guidant AI Solution

•. Guidant AI agents ingest SAP vendor master data, procurement records, and external risk signals. Using Signavio’sprocess mining and insights, they detect anomalies, flag risk patterns, and autonomously recommend mitigation actions—such as supplier diversification or contract renegotiation.

•Using these inputs, they detect anomalies, identify at-risk receivables, recommend potential mitigations, assist in evaluating solutions with “what if” analysis, and assist in implementing the selected solution.

•🔹 Business Impact

•Early detection of high-risk vendors, reduced supply chain disruptions, improved compliance & audit readiness, faster response to geopolitical or financial instability.

•🔹 Business Challenge

•Enterprises rely on complex vendor ecosystems but lack real-time visibility into supplier risks—leading to disruptions, cost, compliance exposure, and reactive decision-making.

•🔹 Complexity

•Traditional systems offer static reports and fragmented data across procurement, finance, and compliance. Risk signals are often delayed or missed entirely.

•🔹 Guidant AI Solution

•. Guidant AI agents ingest SAP vendor master data, procurement records, and external risk signals. Using Signavio’sprocess mining and insights, they detect anomalies, flag risk patterns, and autonomously recommend mitigation actions—such as supplier diversification or contract renegotiation.

•Using these inputs, they detect anomalies, identify at-risk receivables, recommend potential mitigations, assist in evaluating solutions with “what if” analysis, and assist in implementing the selected solution.

•🔹 Business Impact

•Early detection of high-risk vendors, reduced supply chain disruptions, improved compliance & audit readiness, faster response to geopolitical or financial instability.

🔹 Business Challenges:

•Purchasing manager track and monitor the costs of various raw materials. •Raw material prices vary due to market conditions, tariffs, and acquisition volatility. •Suppliers’ carbon footprints, including their manufacturing and recycling practices, must be assessed. 

🔹 Complexity

•To determine the best top six suppliers based on cost, quality, on time and carbon footprint out of historical data of large volume of supplier's invoices. 

🔹 Guidant AI Solution

•Guidant agentic AI agents collect real-time supplier data, insights about process risks and blockers from Signavio, other correlating data from multiple sources. •Using these inputs, they detect anomalies, identify at-risk suppliers, assist in evaluating solutions with “what if” analysis, and assist in placing purchase order/s.  •Evaluate each supplier against selection criteria and make a purchase recommendation. 

🔹 Business Impact

Reduced cost of purchase, increase supplier reliability and reduced impact to production process.