S/Runtime
Commerce intelligence
Connect ecommerce, stores, merchandising, loyalty, support, fulfillment, and payments so agents can resolve issues and improve decisions without exposing consumer data.
Each example starts with the work that slows down today, then names the context, controls, and outcome a pilot would need to verify.
Support agents jump between order status, shipment events, returns, loyalty, and policy systems.
S/Runtime gives a privacy-aware case view and routes refunds, replacements, or escalations through approved actions.
Controls to verify: PCI data exclusion; Consumer privacy scope; Refund approval; Action logging.
Store teams need fast answers from SOPs, inventory, HR, safety, and merchandising instructions.
Agents surface current policies and local context while limiting employee and customer data by role.
Controls to verify: Role-based store access; Local policy scope; Employee data limits; Operational audit.
Teams make assortment and promotion decisions from disconnected product, sales, inventory, and customer signals.
The context layer assembles cited business signals and lets agents prepare recommendations with privacy-safe aggregates.
Controls to verify: Aggregated customer signals; Approved data views; Promotion review; Lineage.
The pilot scope should identify the applicable policy, the accountable reviewer, and the evidence required to reconstruct a consequential run.
Focus: Payment account data security for entities that store, process, transmit, or can affect cardholder data.
S/Runtime: Card-data exclusion, CDE-aware connector scopes, action restrictions, and payment workflow audit evidence.
Focus: California consumer rights, sensitive personal information controls, notices, deletion, correction, and opt-out handling.
S/Runtime: Consumer data mapping, request routing, sensitive-field limits, retention logic, and DSAR evidence packages.
Focus: Purpose limitation, data minimization, storage limitation, security, transparency, and accountability.
S/Runtime: Purpose-bound context packs, regional controls, minimization policies, and auditable data-use lineage.
Focus: Consumer protection, privacy representations, and reasonable security practices.
S/Runtime: Policy-grounded agent behavior, approved claims, sensitive data redaction, and customer communication review.
Use workflow run traces and reviewer outcomes to compare “Order exception cycle time” with the agreed pre-pilot baseline.
Use workflow run traces and reviewer outcomes to compare “Contact center deflection” with the agreed pre-pilot baseline.
Use workflow run traces and reviewer outcomes to compare “Inventory issue resolution” with the agreed pre-pilot baseline.
Use workflow run traces and reviewer outcomes to compare “DSAR evidence time” with the agreed pre-pilot baseline.
Architecture session
We will map the context, systems, decisions, controls, actions, and success measures together.