Stage 04 · productize

Productize.

Turn workflows into income

OVERVIEW

You have working workflows from Stage 3. Now package one of them into something that pays: a portfolio piece, a client deliverable, or a freelance service.

A workflow that saves you four hours a week is worth money. But nobody pays for a workflow. They pay for what it produces: a deliverable, a service, proof you can do the job.

Productize means picking one of three paths and packaging one workflow for it:

  • Path A: Career capital. Turn workflows into portfolio pieces and interview answers. For teachers changing careers, military spouses re-entering work, and veterans in transition.
  • Path B: Practice revenue. Turn workflows into client deliverables and service lines. For attorneys, accountants, and grant writers who already have clients.
  • Path C: Side income. Turn workflows into freelance services. For anyone employed who wants a second income stream.

You pick one path. You package one offer. You price it with a simple formula, not guesswork. The tools below cover all three paths: a Packaging Playbook, three portfolio project specs, and a pricing worksheet.

One warning up front. Packaging takes a weekend. Selling takes longer. This stage gets you a finished, priced offer. It does not promise buyers.

04.1

Pick one path, not three

Your situation picks your path. Answer one question: who pays you, or who should?

  • Nobody yet, you're job hunting or changing careers. Path A. Your workflows become portfolio pieces and interview answers. A teacher moving into instructional design. A military spouse restarting after a PCS move. A veteran translating ten years of work into civilian terms.
  • Clients or a firm already pay you. Path B. Your workflows become new deliverables and service lines. An attorney who closes matters faster. A bookkeeper who can add advisory memos. A grant writer who can submit more applications per quarter.
  • An employer pays you, and you want more. Path C. Your workflows become a freelance service you sell on the side. Evenings, weekends, fixed scope.

Pick the one that matches today. You can add a second path later. People who chase all three at once ship none.

Every path uses the same raw material: the leverage map from Stage 1 and the working workflows from Stage 3. If you skipped those, go back. Packaging a workflow you have not run on real work produces a hollow offer, and buyers can tell.

04.2

Path A: turn workflows into career capital

Hiring managers do not care that you use AI. They care that you can show finished work and explain how you got it done. That is what a portfolio piece is for.

Three artifacts do most of the work (full specs in the tool below):

  1. A before/after case study. One page. The old process, the new workflow, the time difference, a sample of the output.
  2. A process document. The workflow written up so someone else could run it. This proves you can document and train, not only do.
  3. A sample deliverable. The output itself, with any private details stripped out.

Example: a fifth-grade teacher moving into corporate training takes her Stage 3 workflow for building differentiated lesson materials. The case study shows lesson prep dropping from 5 hours to 2 per week. The process doc becomes proof she can build repeatable systems. The sample is one finished training module.

For interviews, compress each artifact into a 60-second answer: the problem, what you built, the numbers, what you would do differently. Write these down. Practice them out loud.

Be honest in the artifact about what AI did and what you did. Reviewers respect it, and some employers ask directly.

04.3

Path B: turn workflows into practice revenue

If clients already pay you, the fastest money is a new deliverable attached to work you already do.

Two moves:

  • Add a deliverable. A bookkeeper who built a monthly-close workflow in Stage 3 adds a one-page cash-flow memo to each close. That memo becomes a priced add-on or the anchor of an advisory tier.
  • Repackage capacity. An attorney whose demand-letter workflow cut drafting time can offer flat-fee letters instead of hourly billing, and take on more matters. A grant writer who doubled drafting speed can sell a higher-volume retainer: six submissions a quarter instead of three.

Sell the deliverable, never the tool. Clients buy "a cash-flow memo with your monthly close," not "AI-assisted bookkeeping." The workflow is your cost structure, not your pitch.

Two cautions. First, check your professional rules on AI use and disclosure. Attorneys: read your bar's guidance before AI touches client matters. Accountants: check firm policy and client confidentiality terms. Never paste confidential client data into tools that train on inputs.

Second, AI output is a draft. You review every deliverable before it ships, and your price includes that review. That is not overhead. That is the product.

04.4

Path C: turn workflows into side income

A side service needs three things: one deliverable, a fixed price, and a clear buyer. Not a business plan. Not a website. One offer you can describe in a sentence.

Examples across situations:

  • A military spouse with a resume-tailoring workflow sells "a resume rewritten for one specific job posting, delivered in 3 days, $[X]."
  • A veteran who built an SOP-writing workflow sells "your messy process turned into a one-page SOP, $[X] each."
  • A 58-year-old operations manager sells "a vendor-comparison brief for small businesses, fixed fee."

Rules that keep this sane:

  1. Fixed scope, fixed price. Hourly billing punishes you for being fast. Your workflow makes you fast.
  2. First three clients at a discount, in exchange for a written testimonial. Proof beats polish.
  3. Deliver to a deadline you can hit on a bad week, not a good one.
  4. Check your employment contract for moonlighting and conflict-of-interest clauses before you sell anything.

Expect slow starts. Most first offers get quiet for weeks. That is normal, not a verdict. Revise the offer, not your plan to have one.

04.5

Price the deliverable, not the hours

The most common mistake: "AI did half the work, so I should charge half." Wrong direction. The client buys the outcome and your judgment, not your keystrokes. A demand letter that took 40 minutes instead of 3 hours is worth the same to the client.

Use the floor formula from the Pricing Worksheet:

Floor price = (your hours, including review and revisions) × (your target hourly rate) × 1.3

The 1.3 covers admin, tools, and the revision you did not plan for. Never price below the floor. Above the floor, look at what the market charges for the same deliverable done the old way, and price near that. Your speed is your margin, not the client's discount.

Worked numbers: a grant writer's proposal draft takes 6 hours with her workflow, target rate $60/hour. Floor: 6 × 60 × 1.3 = $468. Comparable freelance proposals run $800 to $1,500 in her market. She prices at $900. The gap between $468 and $900 is what her Stage 3 work earned her.

Two honest limits. These formulas give starting points; your market sets the real number. And new offers usually need one or two price revisions after real clients respond. Plan for that instead of agonizing up front.

STAGE 04 TOOLS

The tools for this stage.

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  • The Packaging Playbook

    One document that walks you from working workflow to finished offer on any of the three paths: positioning scripts, sample deliverable descriptions, and pricing pointers.

  • The Portfolio Project Specs

    Specs for the three standard portfolio artifacts on Path A: a before/after case study, a process document, and a sample deliverable. Build all three from one workflow.

  • The Pricing Worksheet

    A floor-price formula and market check for pricing AI-augmented services on Paths B and C. Starting points, not gospel. Your market sets the final number.

WHY THIS MATTERS

Most AI courses end with skills. This stage ends with an asset: one packaged, priced offer or one finished portfolio artifact. When Productize is done you can answer three questions cold, what do you deliver, for whom, at what price, or hand a hiring manager a case study with real numbers in it. That is the difference between "I've been learning AI" and proof. It also sets up Stage 5: you cannot scale or systematize an offer that does not exist yet.