Service desk and customer support, finance ops (invoicing, disputes), supply chain exceptions, HR/IT requests, KYC reviews, and back-office approvals.
Decision intelligence connects analytics to day-to-day work. We model how decisions are made, codify playbooks, and automate routine steps. An orchestration layer routes work, applies policies, and triggers actions—so teams resolve cases faster with consistent outcomes.
We combine event data, BI metrics, and process/voice-of-customer signals with AI. LLM actions call tools (APIs, RPA) and retrieve governed knowledge (RAG). Human checkpoints handle edge cases. Every run is traceable with timestamps, inputs, outputs, and approvals.
A production thin slice: decision models, KPI trees, queues/assignment, automations, and dashboards. Integrations for CRM/ITSM/ERP/finance. SLAs, alerts, and cost-per-case telemetry. Implement playbooks and change controls to ensure operations and compliance remain aligned.
Security and privacy by design: SSO/SCIM, RBAC, audit logs, and policy-as-code guardrails. Data quality and lineage for key metrics; documented decisions for SOX/SOC 2/GDPR/CPRA alignment. Rollout gates and holdouts verify impact before scale.
Service desk and customer support, finance ops (invoicing, disputes), supply chain exceptions, HR/IT requests, KYC reviews, and back-office approvals.
Not to start. We utilize your data warehouse/lake and BI, adding adapters as needed for gaps (e.g., event streams, document processing).
Policies are codified with approvals, audit logs, and access controls. We align with enterprise standards (SOX/SOC 2/GDPR/CPRA) and provide supporting evidence.
Yes—API-first connectors for CRM (Salesforce), ITSM (ServiceNow), ticketing (Zendesk), ERP/Finance, HRIS, OMS/WMS, and messaging.
Two weeks for insights; 8–12 weeks for a production pilot with KPIs (SLA attainment, handle time, first-contact resolution, cost per case).
Evaluation suites, sampling, and human review on edge cases; dashboards for drift, bias, and rework with rollback plans.