Quantify Contract Performance:

An LLM extracts key performance indicators (KPIs) from unstructured, complex agreements such as MSAs, SLAs, and SOWs. Each clause is scored based on its impact on cost, compliance, and risk. The model then identifies the optimal combination of terms that maximizes expected value while minimizing downside exposure in measured through Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR) in . This data-driven process replaces manual reviews with objective analytics, typically improving deal value by 10–20%.

Strategic Insight – Recursive Simulation

Strategic foresight is integrated with quantitative game theory to simulate how contract ecosystems evolve under dynamic conditions. Instead of simplistic “what-if” exercises, agent-based recursive simulation is used to describe interactions across a matrix of key uncertainties and driving forces. Autonomous agents—buyers, suppliers, regulators, and intermediaries engage at each node. Payoff strategies are modified through iterative feedback loops until the system reaches a Nash equilibrium. Red-team interventions are injected to test the model and the simulation re-runs until it converges. Contract configurations and KPI sets that maximize expected value across successive cycles are isolated then optimized by the Solver. Net the right set of deal terms get matched to the organization’s preferred strategic plank.

​Category Management Planning Guide -Market analysis, supplier performance data, and contractual KPIs are linked into a single decision framework. “Category Risk–Return Maps” that show which suppliers enhance value and which create concentration or compliance risk. Sourcing options, stress-test outcomes, and design category strategies are simulated to meet corporate hurdle-rate and cost-of-capital goals. The output is a structured roadmap connecting procurement choices directly to financial results.

Deal Portfolio Analytics - Leverage optimized KPIs to systematically map Value at Risk (VAR) exposures across the entire deal portfolio. Define deal value targets and VAR thresholds for upcoming renewals. Improve resiliency, enhance optionality, and deliver measurable legal and commercial upgrades with less risk. Optimized portfolio performance consistently achieves 10%+ savings.

Map Actual AP spending to Expected CMS run rates. Compute trend variance metrics & EBITA overruns in a way to enable forensic diagnostics & development of plans to resolve. The approach is a tested, proven, scalable solution that in our view is worth 1% of revenue.

SaaS Supply Chain Control -

redirect SaaS business to alternative cloud providers - effectively rebalancing the power imbalance within the SaaS supply chain and secure additional financial and operating benefits by moving SaaS spending from Opex to Capex

Forecast Raw Material Prices - advanced timeseries forecasts are available from low-cost tools and data sources.

Test Drive Your CMS - start with the end in mind before 'cement is poured' and the deal goes into implementation. Build and Test drive descriptive and predictive analytics for Key stakeholders with fully functional ETL & Measures in PowerBI view of the environment.

Procurement as a Service (PaaS) BPO - Retain control of your Catgegory /Strategic Sourcing talent with key Scope and KPI provisions.

Extraction and interpretation of big deal obligations are being

revolutionizied in a way that

enables seamless syndicated of vital information and mitigation strategies throughout the organization

From managing complex SLA provisions & ensuring that completion of critical obligations stay on track, to managing 'big deal' contract changes in real-time, or ensuring that Client disputes are professionally managed, our best-in-class, multiple award-winning staff is available to help you manage the complexity of Enterprise scale deals with lower risk