THE USE CASES OF ARTIFICIAL INTELLIGENCE

AI Use Cases for FUSE

Practical ways to use language models for research, proposals, standard processes, and keeping track of targets to drive sales.

AI can help you move faster without lowering quality. At FUSE, we employ AI in repeatable tasks such as: Research, RFP searches, Proposal Writing, and Sales Target Reporting. We avoid AI when creativity is needed, which is almost always the case during initial entry. The key to success which is defined as continuous use, is choosing the right tool for the job, in a robust process with repeatable workflows, and applying simple guardrails so outputs stay accurate. The benefit is more output with the same resources, and lowered costs per task.

AI use cases cover visual

From the Internet to AI

Teams used to spend hours searching, skimming, and stitching information together. Today, AI can accelerate the first draft of research and synthesis, while humans remain responsible for verification and judgement.

Shift from traditional web research to AI-assisted research

Enter AI

Think of AI as a drafting engine. It produces summaries, outlines, and options quickly. Your advantage comes from giving clear inputs and applying a review step before anything client-facing.

Enter AI overview graphic

The simple model of AI in plain language

  • A language model generates drafts, not guaranteed facts.
  • Retrieval and citations helps you verify claims.
  • Your inputs drive output quality.
  • Human review is required for client-facing work.
Prompt to draft to verify workflow

Recommended tool stack for FUSE

You can cover most needs with a small, intentional toolkit.

AI ecosystem map

Repeatable workflows you can standardize

  • Research brief with citations: 1-page brief with sources, implications, open questions.
  • RFP extraction: requirements table, risks, assumptions, clarifying questions.
  • Proposal draft: positioning, page copy, FAQs, email draft, slide outline.
  • Internal alignment pack: options, recommendation, decisions needed, next steps.
Workflow example graphic

Guardrails for client-safe AI use

  • Green: public info, general writing, formatting, brainstorming.
  • Yellow: non-confidential client work with human review.
  • Red: confidential data, credentials, regulated content without approved tools.
Scoring criteria and methodology

Copy and paste prompt pack

Prompt 1: Research brief with citations

Write a 1-page brief on: [TOPIC].
Audience: [WHO]. Decision needed: [DECISION].
Include: key facts with citations, key players, risks, implications, what is unknown, and 5 questions we should ask next.
If you are unsure, say so and explain what would confirm it.

Prompt 2: RFP extraction

Read the document content below and extract:
1) requirements, 2) must-haves vs nice-to-haves, 3) deadlines, 4) compliance items,
5) evaluation criteria, 6) risks and assumptions, 7) questions to clarify.
Output in a structured format with clear headings.

Prompt 3: Client-ready rewrite

Rewrite the content below for a client-facing page.
Tone: clear, confident, simple language.
Constraints: short paragraphs, no jargon, keep it under [X] words, include 5 FAQs.
Content: [PASTE TEXT]

Ready to make AI practical?

We’ll set up your tool stack, workflows, prompt pack, and guardrails in a working session.

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