Adoption advisor

Your 90-day AI adoption plan

Answer four questions and get a costed starter stack, a phased rollout, a training path, a usage policy checklist and the numbers to judge it by.

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Take the 3-minute AI maturity assessment and we will size this plan around your score.

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About your team

What we would do

Within budget

For 10 people focused on writing & content, with no AI in regular use yet and about $40 per person a month to spend, we would start in AI Chat Assistants, AI Writing Assistants, AI Presentation Tools and pilot with 3 people before buying seats for everyone.

Pilot cost

$100/mo

Annual equivalent

$1200

Your stated budget

$400/mo

Recommended starter stack

ToolRole in the rolloutSeatsMonthly
ChatGPTFree · Go $8/mo · Plus $20/mo · Pro $200/moEveryday assistant for drafting and rewriting3$60
QuillBotFree · Premium $9.95/mo (annual)Editing, tone and quality control3$30
GammaFree credits · Plus $10/mo · Pro $20/moTurning documents into decks1$10
Enterprise

Buy this stack for your team

$190per month

Enterprise covers the writing & content rollout end to end for everyone on the team: the 3 recommended tools set up in a shared workspace, the 90-day plan, the training path and the usage policy. Billed at $19 per person per month. Tool subscriptions themselves (about $100/month) stay on your own accounts.

seats (minimum 3)
Billing
  • Shared workspace with this writing & content stack pre-loaded
  • The 90-day rollout plan assigned to owners
  • Training path and certificates for every seat
  • Usage policy, spend tracking and stack reviews

Watch these tools before the kick-off

All video tutorials

A short walkthrough for each tool in your stack — use one in the 45-minute kick-off session.

The 90-day rollout

Days 1–30 — pilot

Start with 3 people, not everyone

  • Pick 3 volunteers who already do writing & content work daily and give them ChatGPT.
  • Name the two tasks each of them will use it for, and write down how long those tasks take today.
  • Agree the data rules before the first login: what may be pasted in, and what may not.
  • Book a 45-minute kick-off around the tool’s video walkthrough and written steps on this site.
Days 31–60 — prove it

Measure the saving and fix what got in the way

  • Compare the before-and-after time on those same two tasks and record the difference in hours.
  • Collect the failures as well as the wins — that list becomes your review checklist.
  • Add the supporting tools (QuillBot, Gamma) only where the pilot showed a clear gap.
  • Publish one short internal write-up from a colleague, not from management.
Days 61–90 — roll out

Extend to the remaining 7 people

  • Buy seats in one batch so billing and admin stay in one place.
  • Run the same 45-minute onboarding for each new group, using the prompts your pilot proved.
  • Set a monthly review of spend against value in the cost calculator, and cancel anything unused.
  • Assign one owner per tool who answers questions and watches for pricing changes.

Training path

AI usage policy checklist

  • Write down which tools are approved, and that anything else needs a quick check first.
  • State plainly what may never be pasted into a tool: customer records, credentials, unreleased financials, health or ID data.
  • Require a named human reviewer for anything that reaches a customer, a regulator or a contract.
  • Turn off training on your data where the plan allows it, and record that decision per tool.
  • Keep AI-assisted work labelled internally so reviewers know what to check harder.
  • Review the tool list and spend once a quarter; remove what nobody used.
Use the full policy template

What usually goes wrong

  • Confident-sounding errors: every tool here scores below 100% on accuracy, so the review step is not optional.
  • Shadow usage: if you do not approve something usable, people will use their own accounts with company data.
  • Seat creep: paid seats keep billing after people stop using them — the monthly review catches this.
  • Overreach: starting with a company-wide rollout is the most common way an AI project quietly dies.

How to tell it worked

  • Hours saved per person per week on the two named tasks.
  • Share of the pilot group still using the tool voluntarily in week eight.
  • Monthly cost per active user against your $40 target.
  • Quality: number of outputs sent out that needed correction after review.
Team dashboard for organisations