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AI IMPLEMENTATION · FOUR WORK SCENARIOS

Choose a starting point from one workflow your team repeats.

Choose the work problem first. Then verify the available information, access, human responsibility, delivery boundary, acceptance situations, and maintenance owner before choosing the technology.

An unoccupied desk with a keyboard, plant, and sunlight
Editorial atmosphere only — not a client system, dashboard, or delivery record

CHOOSE BY WORK PROBLEM

Which workflow most needs clearer information, ownership, or follow-through?

The scenarios are the top-level service framing. Capabilities, channels, and tools are supporting choices—not a second taxonomy.

01

Knowledge & Employee Training

Are important answers scattered across documents, messages, or a few people's memory? Make company experience searchable, teachable, and maintainable.

02

Customer Service & Sales Collaboration

Are service teams repeating answers while handoffs and channel messaging drift apart? Turn repeat questions and handoffs into a controlled service workflow.

03

Meetings & Task Management

Do meetings end without a confirmed decision, owner, deadline, or next step? Turn meeting decisions into confirmed, traceable next steps.

04

Content & Social Operations

Are assets, drafts, approvals, and publishing results split across tools and messages? Connect assets, drafts, approvals, publishing, and read-back in one accountable flow.

An unoccupied worktable with documents, a lamp, and computer equipment
Editorial work setting — not client information, a team photo, or implementation proof

SHARED METHOD

Four scenarios, one accountability path.

Every scenario needs a bounded problem, approved sources and access, named human review, representative acceptance situations, and a person responsible for updates after release.

METHOD IN BRIEF

Do not buy the tool before the workflow and responsibility are clear.

This is a working method, not a claim that a system has already been deployed.

  1. Problem, information, access

    Clarify the workflow, usable sources, permissions, risks, and gaps.

  2. Scope and human responsibility

    Define where AI assists, where it stops, and who reviews exceptions.

  3. Testable implementation

    Build within the approved scope and keep missing dependencies visible.

  4. Acceptance and maintenance

    Test real situations, record unresolved work, and assign updates.

BEFORE YOU CHOOSE

Clarify the boundary before implementation.

What if we do not know which scenario fits?

Bring the recurring workflow that causes the most friction. We can clarify its information, owners, boundaries, and a useful next step before choosing technology.

Can more than one scenario be addressed?

Yes, but it is usually clearer to name one primary scenario first. Shared information does not remove the need for separate owners and acceptance conditions.

Can we start without organized information?

Yes, with an inventory. A responsible person still needs to verify sources, versions, usage rights, sensitivity, and gaps.

Does AI replace the responsible person?

No. Authorization, commitments, exception handling, final acceptance, and maintenance remain with named people.

What is included in the 30-minute call?

The call covers the current workflow, priority problem, and a recommended next step, followed by a one-page needs summary. It excludes a full technical plan, implementation, ROI forecast, third-party fees, and a 30-day data audit.

SUPPORTING CAPABILITIES & CHANNELS

Use these narrower pages when the capability is already clear.

They remain valid routes, but they do not become five additional top-level scenarios and do not imply that every engagement requires every capability.