AI Capabilities Diagnostic

Workplace AI assistants for office productivity, knowledge work, content collaboration, and meeting/notes summarization.

Cloud financial system of record — general ledger, AP/AR, fixed assets, project accounting, procurement-to-pay, and order-to-cash.

Connected planning, budgeting, forecasting, consolidation, and what-if modeling across finance, workforce, sales, and supply chain.

Source-to-pay automation — sourcing, contracts, supplier management, requisition-to-invoice, payments, and spend analytics.

Financial close orchestration, account reconciliation, consolidation, narrative and disclosure reporting, and audit-ready controls.

Customer relationship management across sales, service, marketing, and commerce — plus revenue ops, CPQ, billing, and customer success.

Human capital management — core HR, payroll, talent acquisition, learning, performance, and workforce planning.

IT service management, employee service, and low-code workflow orchestration with intelligent ticket triage and process automation.

Cloud data warehouse, lakehouse, vector search, streaming, and the runtime layer for AI workloads grounded in enterprise data.

Frontier and open-weight large language models accessed via API, plus enterprise-controlled inference and deployment platforms.

Build, deploy, and govern AI agents grounded in enterprise data and tools — from embedded studios inside SaaS suites to independent orchestration frameworks.

Business intelligence, self-service analytics, semantic-layer modeling, and AI-assisted natural-language queries on top of enterprise data.

Integration platform as a service — API management, event streams, and pre-built connectors linking SaaS, on-prem, and AI workloads.

Data catalog, lineage, master data, quality, and observability — the trust layer for analytics and AI on enterprise data.

Lifecycle controls for AI models and agents — evaluation, observability, safety guardrails, audit trails, and regulatory readiness.

Tenant-aware unified search and Q&A across SaaS sources, with RAG grounding for assistants and agents.

Process mining, task mining, document understanding, and robotic process automation — the discovery-to-execution layer for operational AI.

Governance, risk, compliance, internal audit, SOX controls, and policy management with AI-assisted workpapers and risk insights.

Treasury management, tax compliance, accounts payable and receivable automation, and working capital optimisation — high-leverage CFO categories tied to cash, liquidity, and DSO/DPO.

Demand planning, supply planning, inventory optimisation, S&OP, and supply chain control towers — material levers on COGS, service levels, and resilience.

Contract lifecycle management, contract intelligence, and legal operations — governing revenue, cost, obligations, and renewals across procurement, sales, and legal.

Omnichannel customer service, contact-center-as-a-service, workforce engagement, and AI service agents — modern service operations beyond CRM case management.

Software delivery, source control, CI/CD, observability, and engineering productivity — including AI coding assistants and agentic SDLC platforms.

Identity and access management, endpoint, SIEM/SOAR, cloud security posture, and DLP — the trust fabric AI and agent adoption depend on.

ESG management, carbon accounting, supplier emissions, and regulatory reporting (CSRD, ISSB, SEC) — increasingly relevant to CFO, audit, and risk agendas.