Capabilities

Real-time platform aggregating ERP, TMS, WMS, and IoT into exception management with ML predictive ETAs and execution workflows — not just.

Assessment and management of data-privacy risks specific to third parties that process, store, or access personal data on the organization's behalf.

Define L1/L2/L3 support tiers with SLA countdown timers on every ticket and auto-escalation when thresholds are approached or breached.

Embeddings infrastructure for semantic search and RAG, enabling AI to find relevant enterprise content and generate grounded, cited answers.

Structured management of facilities service contracts — cleaning, security, landscaping, maintenance — with SLA tracking and performance measurement.

Assessment of environmental, social, and governance risks in third-party relationships driven by CSDDD, CSRD.

Pre-planned response procedures activated when a third party experiences a security breach, operational failure.

Risk-informed management of the complete vendor lifecycle — selection, contracting, performance monitoring, renewal, and secure offboarding.

Analyze 100% of interactions to surface recurring themes and emerging issues — replacing survey VoC that captures only 5–15% of customers.

End-to-end tracking and processing of warranty claims, returns, and supplier recovery to minimize warranty cost leakage and accelerate customer.

Workflow-driven close process layered on the ERP that compresses close cycle time by 30-60% via task tracking, automation, and documentation.

Systematic evaluation of risks posed by individual AI systems — bias, safety, privacy, security, reliability — with documented impact analysis.

ML systems that continuously monitor, classify, and surface competitively relevant signals from structured and unstructured data at scale.

AI agents that automatically complete, review, and score vendor risk assessments — reducing assessment cycle time from weeks to minutes.

ML models that screen thousands of potential acquisition targets against strategic criteria, identifying high-fit opportunities faster than manual.

Apply ML to correlate, deduplicate, and prioritize alerts in real-time, routing enriched incidents to the correct responder automatically.

A centralized platform for designing, publishing, and documenting APIs with consistent standards that accelerate internal and external integration.

API-first integration strategy enabling real-time, programmatic data exchange with partners and ecosystem participants beyond traditional EDI.

A comprehensive digital record of every product deployed in the field, tracking configuration, service history, and lifecycle status.