Customers & Stakeholders
Customer service, communication, response quality, knowledge access, personalization and relationship management.
Typical measuresResponse time • satisfaction • retention • consistencyBUSINESS SOLUTIONSStart with the value problem.
Start with the value problem.
Then choose the AI.
Enterprise AI Skills organizes AI around business outcomes rather than technical vocabulary. Every solution connects technology, workforce capability, governance and measurable performance.
Find My Best-Fit Solution →SIX VALUE DOMAINS
Where AI can create practical business value.
Products & Services
Research, design, documentation, personalization, quality, delivery and support.
Typical measuresTime-to-market • quality • adoption • service speedProcesses & Workflows
Administrative work, approvals, reporting, handoffs, document flows and repeatable operations.
Typical measuresCycle time • hours saved • error rate • costDecisions & Insights
Research, analysis, summaries, scenario review, forecasting support and management reporting.
Typical measuresDecision speed • evidence quality • forecast accuracyPeople & Collaboration
Managers, supervisors, employees, colleagues, suppliers, students and stakeholder communication.
Typical measuresAdoption • capability • collaboration • manager timePerformance & Growth
Productivity, cost, sales, quality, innovation and organizational capability.
Typical measuresOutput • revenue • margin • quality • innovation rateMODERN AI FIT
Choose the simplest architecture that can deliver the required value.
Platform examples are illustrative and are reviewed at proposal time because AI services change quickly.
Level 1
Governed workplace AI
For individual and team productivity using enterprise-grade assistants and copilots.
Examples: ChatGPT Business/Enterprise, Microsoft 365 Copilot, Gemini Enterprise.Level 2
AI-assisted workflows
For repeatable processes that connect AI to documents, forms, approvals and business systems.
Examples: approved automation platforms, integrations and workflow tools.Level 3
Agents & enterprise AI platforms
For multi-step, tool-using workflows requiring orchestration, monitoring and governance.
Examples: OpenAI API/agents, Microsoft Foundry, Amazon Bedrock, Google Gemini Enterprise/Vertex AI.Level 4
Sovereign / private AI
For higher-control use cases requiring private infrastructure, tighter data boundaries or special residency/security patterns.
Private cloud/on-prem, open-weight models, governed retrieval, audit and access controls.THE RULE
Do not automate a bad process faster.
The engine first asks whether the process should be simplified, standardized or redesigned. AI is introduced only where it improves the customer, product/service, process, decision, people experience or measurable performance.
Which level fits your problem?
The advisor determines that from your role, work, data, maturity, urgency and expected value.