AI adoption

Where is your business
with AI today?

Maybe you use AI to write a customer message. Maybe it helps your office team follow up on inquiries. Or perhaps you have given it a regular job to handle, with someone checking the results.

Each is a different way of putting AI to work. Find the level that sounds like your business today, then see what taking the next step would mean for your team.

Find where you stand Explore the four levels
Four illustrated levels rising through a stepped hierarchy: AI-assisted creation, AI-augmented workflows, agent execution, and coordinated agent work with shared context and human review.
AI can help with a single task or several connected jobs. You may use it differently in different parts of your business. Click the illustration for a closer look.

How the work changes

Four ways to put AI to work.

Each level gives AI more of the work. Your team stays in charge.

Level1

AI helps with one task

Ask AI to draft an email or social post. You check it and finish the job.

Next step: Pick a task your team repeats.

Level2

AI helps inside your tools

Your existing software suggests a reply or drafts an update. Your team still moves the work along.

Next step: Find the manual steps that still slow you down.

Level3

AI takes on a regular job

Give an AI helper a recurring job, like checking website content each week. Your team reviews its work.

Next step: Set clear instructions and approval rules.

Level4

Your AI helpers work together

One helper finds content ideas; another drafts posts. They share your business information, while your team directs and approves the work.

Next step: Check the whole result before adding more jobs.

Start where it helps. You do not have to reach level four.

Your next step

What would help your business first?

Answer six quick questions about how your team works. Get a suggested starting point, three next steps, and a job to try. We'll email you a PDF report to keep.

Take the AI assessment

AI adoption, made manageable

Wherever you are with AI,
we help with the next step.

BoastAble meets you where you are, whether you're trying your first AI task or ready to connect several helpers. We agree on a manageable piece of marketing work, then handle setup and training, with one year of support.

You keep a full BoastOS license: software built to make working with AI feel familiar. Assign jobs from a to-do list, give instructions through chat, and review the work before it goes out. We hand over the keys and stay available when you need help.

Talk about your next stepSee the $4,995 engagement
BoastOS sample workspace showing pending decisions and agent status for a human reviewer.
Actual BoastOS interface with sample workspace data. It illustrates review and coordination, not customer results.

What the research tells us

Does AI help the whole job get done?

Using AI is a start.

Even among marketing leaders, AI often helps with individual tasks rather than a connected job.

42%of surveyed marketing leaders used AI only to help with individual tasksBCG survey, 2026

Our advice: start with one recurring marketing task, then connect the steps around it.

Read the research

Boston Consulting Group's 2026 survey of 300 chief marketing officers found that 42% used generative AI only to assist with individual tasks, while about 8% connected multiple agents for certain autonomous campaigns. The survey uses different categories from the four levels above.

Gartner's earlier survey of 418 marketing leaders found creative development was a common starting point: 77% of organizations that had adopted generative AI used it for that work.

Boston Consulting Group's 2026 survey · Gartner's survey, conducted in 2024

Count the checking, too.

People working with AI made more ads in one study. The live ads performed broadly similarly.

50% moreads per human worker in the study's human-AI teamsJu and Aral's ad-creation study

Our advice: include review time and corrections before calling it a saving.

Read the research

A randomized ad-creation study with 2,234 participants found human-AI teams produced 50% more ads per human worker and made 62% fewer direct text edits. Copy quality improved, but image quality and variety suffered; overall live ad performance was broadly similar.

Amazon Web Services reports that BlueOcean's service, which uses AI helpers for separate jobs, reduced some customer analysis tasks from about five days to two hours. That is a vendor-reported case study with its own data and service, rather than a result you can assume for your business.

Ju and Aral's working paper · Amazon Web Services' BlueOcean case study

Try one job. Compare before and after.

Did it actually help?

  • Time spent

    Include setup, checking and fixes.

  • Work you can use

    Count finished work your team approves.

  • Running cost

    Include the tools and people involved.

Adapted from the BoastOS research brief with AI-assisted drafting and review. Research examples concern specific studies and services, not measured BoastAble results. Prepared by the BoastAble team.