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Ai Advisory

AI Advisory

AI strategy should tell leaders what to use, what to avoid, what to govern, and what needs to be built carefully.

Put AI where it can actually improve the work.

AI should not sit beside the business as a novelty. It should support defined work: intake, drafting, summarizing, research, classification, documentation, reporting, decision preparation, and knowledge reuse.

Contempo.Services helps identify useful AI candidates, separate them from distractions, design the workflow around human authority, and document the system so it can be repeated and improved.

AI workflow advisory product visual
01Find the useful use cases
02Design the workflow
03Document the operating model

Problems this fixes

  • Staff are using AI inconsistently, with different tools, prompts, and expectations.
  • Leadership knows AI matters but does not know which use cases deserve investment.
  • Outputs are useful sometimes, but there is no review model or record of what worked.
  • Manual work remains trapped in email, chat, documents, spreadsheets, and memory.
  • AI tools are being added before the process is understood.

What an AI Systems Review can include

Workflow inventory

Identify recurring tasks, inputs, decisions, approvals, handoffs, documents, and outputs that could benefit from AI support.

Use-case ranking

Sort AI opportunities by value, risk, complexity, repeatability, data sensitivity, and readiness.

Prompt and output design

Create practical prompt patterns, expected outputs, review standards, and examples that staff can reuse.

Human control model

Define where AI drafts, where people decide, what must be checked, and what should never be delegated.

Knowledge capture

Turn useful AI work into documented guidance, templates, decision records, SOPs, or searchable internal knowledge.

Implementation path

Deliver a practical roadmap for tools, workflow changes, documentation, pilot steps, and ownership.

Examples of useful AI workflow candidates

  • Summarizing customer intake into structured notes and next steps.
  • Drafting repeatable client communication from approved source material.
  • Turning meeting notes, chat history, and task lists into usable documentation.
  • Researching competitors, vendors, opportunities, or market context with a repeatable method.
  • Preparing first-pass SOPs, checklists, training notes, and support scripts.
  • Converting scattered project history into a coherent status brief.

Deliverable mindset: the point is not to buy an AI subscription. The point is to create a workflow that saves time, reduces confusion, preserves knowledge, and still keeps people in authority.