AWAI FDE Works

Use cases

Prioritize workflows that are high-friction, testable, and connected to real systems.

A strong enterprise AI use case is not a generic chat box. It improves a specific workflow through retrieval, judgment, routing, generation, approvals, or tool use. We screen for business value and launch constraints together.

Discuss a workflowSee the scorecard

Deployable scenarios

Start from business process, not model capability.

Knowledge

Enterprise knowledge assistant

Answer across policies, product materials, implementation docs, historical projects, and internal Q&A with citations and access control.

  • Distributed and changing knowledge
  • Source traceability and permissions
  • Best fit for RAG with eval baselines
Support

Support ticket triage

Classify customer issues, add context, recommend handling paths, and escalate risky tickets to humans.

  • High volume and repeat patterns
  • Routing and escalation rules
  • Best fit for tool use and approvals
Sales

Sales account research

Combine public information, CRM history, and product fit into reviewable account research.

  • Manual research burden
  • Traceable sources required
  • Best fit for controlled retrieval and structured output
Legal

Contract review support

Assist first-pass review around clauses, deviation from standards, risk levels, and approval paths.

  • Clear rules with complex context
  • Human final judgment
  • Best fit for evals and red-line policies
Finance

Finance close workflow

Identify gaps, generate explanations, and route owners across close, reimbursement, reconciliation, and exception handling.

  • Multi-step cross-system work
  • Audit and permission needs
  • Best fit for workflow orchestration and logs
IT

IT service desk automation

Diagnose common requests, retrieve internal knowledge, check permissions, and suggest low-risk actions.

  • Frequent classifiable requests
  • Action boundaries required
  • Best fit for an agent tool catalog

Screening standard

Not every workflow should be automated immediately.

We prioritize workflows with enough examples, clear business metrics, accessible data sources, controlled failure consequences, and internal ownership after launch.

  • Measurable: time, quality, response speed, or risk can be tracked.
  • Accessible: documents, systems, permissions, and tool interfaces are not completely blocked.
  • Evaluable: examples, reference answers, review flows, or quality proxies exist.
  • Governable: risky actions can use human approval, audit logs, and rollback behavior.

Scenario evaluation

If you have 3-5 candidate AI scenarios, start with opportunity ranking.

We will decide which should become pilots now, which need more discovery, and which should wait.

Submit candidate scenarios