Technology Services Scenarios
Technology services scenarios cover SaaS support, cybersecurity operations, managed services, ERP implementation and IT asset lifecycle workflows where AI can improve triage, knowledge access and service delivery.
Technology service providers operate across incidents, change, assets, compliance, delivery, and customer success. These scenarios show how to model those operations with clear object types and actions.
Four-Step Pattern#
Every detailed scenario in this library is now framed as the same four-step application pattern:
- Capture demand and context.
- Prepare the decision.
- Execute and collaborate.
- Resolve, explain, and improve.
Each scenario page calls out the goal of each step, the data needed to achieve it, the AI support that improves the experience, the business impact, and whether the current EAI delivery model is sufficient or needs extension.
Scenario Library#
Cybersecurity Operations
Manage assets, detections, incidents, playbooks, remediation, reviews, and executive reporting.
ERP Implementation Delivery
Coordinate requirements, design decisions, configuration, testing, cutover, training, and hypercare.
IT Asset Lifecycle Services
Manage requests, procurement, assignment, maintenance, refresh, compliance, and disposal workflows.
IT Managed Services Operations
Run service contracts, tickets, changes, patching, backups, vendor cases, and QBRs.
SaaS Support Desk Operations
Manage tenant health, support tickets, bug reports, billing issues, adoption work, and renewal risk.
Typical Building Blocks#
- Assets, identities, tickets, changes, releases, programs, and service contracts
- Operational governance for SLAs, approvals, incidents, and renewal risk
- Document workflows for policies, reports, implementation packs, and runbooks
- AI support for triage, summarisation, classification, and decision support