Implement CRM Lead Routing with n8n in Staging
Reconcile current lead-routing and SLA evidence, design the n8n flow, configure CRM-side controls in sandbox, implement the n8n orchestration in staging, and verify retry/recovery safety.
Step-by-step guides for larger AI-assisted tasks
Workflows
Workflows combine Amo.ng Prompts and review steps in a defined order to help you complete a larger job. Each step tells you what to provide, what to review and what to carry into the next step. You can copy a Workflow or run supported Workflows step by step in Workplace.
Review results before continuing. Manual, Codex and other external steps remain clearly identified and are completed outside the provider runner.
Implement an Operations Dashboard and Automated KPI Reporting
Govern metric definitions, specify the dashboard, implement the dashboard and disabled recurring report, then reconcile both products to authoritative evidence before decision use.
Govern University AI Adoption, Curriculum and Impact
Move from approved university AI policy through procurement, curriculum alignment, implementation oversight, and evidence-based institutional impact decisions with accountable authority at every gate.
Run a Responsible Campus AI Hackathon
Run a permissioned campus AI hackathon with bounded challenges, accessible facilitation, safe data and tools, controlled prototypes, accountable judging, and post-event learning evidence.
Build and Defend an Evidence-Grounded Academic Argument
Move from a bounded academic question through source triage, a pre-draft evidence ledger, learner-owned argument development, claim verification, and an assessor-owned oral defence.
Design a Governed AI Support Triage Pilot
Assess support knowledge, design bounded AI-assisted triage and human escalation, establish sensitive-data and quality controls, and define evidence-based pilot entry, exit, and expansion decisions.
Rebuild Confidence in an Analytics Decision
Reconstruct broken data lineage, challenge forecast assumptions and drift, and test conclusion sensitivity before relying on a consequential analytical decision.
Allocate an AI Investment Portfolio Under Constraints
Compare AI initiatives using work-design evidence, reviewer burden, model-routing economics, vendor concentration, and option value to allocate constrained investment transparently.
Recover and Requalify an Interrupted AI Agent Runtime
Reconcile interrupted durable state and side effects, conditionally recertify tool access and fallback behavior, then calibrate escalation controls before resuming an AI agent runtime.
Assure an AI System Change for Production Release
Reconcile the deployed baseline, gate a proposed AI system change, calibrate acceptance thresholds, test adversarial and production coverage, and detect misleading evaluation proxies before release.
Recover a Laravel Payment Checkout Failure Safely
Diagnose and correct a Laravel checkout, webhook, or payment-state failure, build payment-specific test evidence, review security and code risk, and prepare controlled release and rollback gates.
Plan a SaaS Portfolio Consolidation Decision
Reconcile application usage and ownership, evaluate true portfolio redundancy and dependencies, prepare vendor renewal or exit paths, and issue an evidence-backed consolidation decision.