AI automation readiness and workflow review.

Training helps teams see how work actually happens before automation is considered. It can reveal unclear steps, missing context, review needs, exceptions, sensitive-data boundaries, and cases where automation should wait.

Workflow review helps the team decide whether the work is clear enough for automation, needs redesign, needs better context, or should remain human-led. It helps prevent unclear work from being turned into unclear automation.

AI-supported work still needs people responsible for judgment, exceptions, approvals, sensitive information, and final decisions. Human review helps keep assistant or agent concepts tied to the organization's real boundaries and responsibilities.

Not by default. Technical buildout, automation engineering, systems integration, custom GPT development, deployment, privacy review, cybersecurity review, legal review, or compliance review should be separately scoped when needed.

Before building or buying, the team needs to understand the work: who does it, what inputs are used, what decisions are made, what exceptions happen, and where human review is required.

Some teams may benefit from internal AI assistants that help with search, drafting, summarizing, document review, or knowledge access when they are tied to approved sources and reviewed by people. Agent use-case concepts may be appropriate when a workflow has clear boundaries, reliable context, and review expectations.

Sixth City AI does not position agents as a replacement for teams. Human review, approved-use boundaries, sensitive-data awareness, output checking, and escalation points should remain part of any responsible automation conversation.

Automation engineering, systems integration, custom GPT development, advanced workflow design, or production deployment should be separately scoped after readiness, workflow, governance, and review needs are clear.

AI automations, internal assistants, and advanced workflow concepts should support approved workflows with human review. People should remain responsible for final decisions, exceptions, accountability, and appropriate oversight.

The workflow should be understood before automation is considered. Teams should review inputs, handoffs, decisions, exceptions, source material, approved-use boundaries, and human review points. Automating unclear work can create more confusion rather than better outcomes.

An Automation Readiness Review is a practical review of whether a workflow is clear enough to consider automation or assistant-style support. It looks at inputs, decisions, exceptions, review owners, source material, boundaries, and whether the work should be redesigned before any technical buildout is scoped.

A workflow is more ready when the steps, inputs, decisions, exceptions, context, review owners, and escalation points are clear. Readiness does not guarantee successful automation; it helps decide whether automation, workflow redesign, prompt support, or a hold decision is more appropriate.