Understand a concept
AI-native business, in plain words
A clear job, useful company knowledge, and a person who checks the result.
Read the concept →Amplify Humanity
Find where AI fits in your business.
Explore practical ideas, real examples and action plans for each part of your business. Start with one job worth improving.
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05 · Sales & Quotes
- Problem
- Quoting competes with billable work, so quotes go out days late — and late quotes lose.
- Input
- A trades or services business that quotes most jobs by email.
- AI output
- Gap list: site access? timeline? budget range?
- Human check
- A person checks amounts, scope and any discount before anything is sent
Start from the job that is already costing you
Show the work
A new enquiry becomes a checked quote
A trades or services business that quotes most jobs by email.
Illustrative example — not a live customer result
Before
Enquiry lands in the inbox and waits for whoever is least busy
OwnerSomeone digs through old quotes and the price list for similar jobs
StaffA quote is typed up from memory, often after hours
OwnerOutput: Quote, sent 2–3 days later
Follow-up happens if someone remembers
Staff
With AI
AI reads the enquiry and lists missing information against your service boundaries
AI preparesOutput: Gap list: site access? timeline? budget range?
AI drafts a quote from your approved price list and past accepted quotes
AI preparesOutput: Draft quote with each line referenced to your price list
A person checks amounts, scope and any discount before anything is sent
Human reviewsUnanswered quotes enter a reminder queue; a person approves each follow-up
Human reviewsOutput: Follow-up drafts on your schedule
Where this fails: if your price list is out of date or discount rules live in someone’s head, the AI drafts from wrong data. Fix the source first — that is what the Company Brain area covers.
Read it the way you need it
See a use case
Draft quotes from enquiries, with approval
Inputs, AI actions, human approval points, failure modes and a 5-step pilot.
Open the use case →Take an action
Start your Company Brain today
Five checkable steps and a copy-ready prompt. No email required.
Open the playbook →Evidence, with its limits
External research
AI assistance helped newer support staff most
A large academic study of customer support agents found an AI assistant raised productivity, with the biggest gains for less-experienced workers using the accumulated knowledge of experienced ones.
What this does not show: One large enterprise’s support operation. It shows a mechanism — captured knowledge helping the whole team — not a guaranteed saving for your business.
Source: NBER — Measuring the productivity impact of generative AI (customer support study) · Independent academic research; studied one large enterprise, not small businesses. · Reviewed 2026-10-19
External research
AI has a jagged frontier — know which side your task is on
Consultants using AI did significantly better on tasks inside the model’s capability and worse on tasks outside it. Choosing the right task matters more than choosing the fanciest tool.
What this does not show: Professional consultants on controlled tasks; your jobs need their own small trial.
Source: Harvard Business School — Navigating the jagged technological frontier (field study with BCG consultants) · Independent academic study; subjects were professional consultants, not SME owners. · Reviewed 2026-10-19
Boteam self-experiment
We run this site the way we describe
This website is built and maintained by AI agents drafting code and copy, with a person reviewing and approving every change.
What this does not show: Our own operation — one data point about our workflow, not a customer result.
Source: Boteam — Boteam self-experiment: rebuilding boteam.ai with AI agents under human review · Our own experiment, reported as such. Not a customer result. · Reviewed 2026-10-19
Make your first AI-assisted process a practical one.
Join free. Get the starter pack, choose the business areas you care about, and tell us what you want to improve.
This is an email membership. There is no forum and no member directory.
- Business job inventory worksheet. List the repeating jobs in your business, score each for volume, error cost and how written-down it is, and pick the one worth improving first.
- Human–AI handover cards. A one-page card format for any AI-assisted task: what AI prepares, what a person checks, what stays human-only, and the limits AI cannot cross alone.
- First pilot plan and acceptance checklist. A 5-step, two-week pilot frame: baseline, knowledge pack, trial with 100% review, error log, and a go/stop decision with numbers.
Put it to work
Free, self-serve: the starter pack, the public 30/60/90-day route and the learning resources. Start on your own schedule.
See the learning path →Build with us
Bring the industry judgment. Build the business with us. For experts and operators with a repeating customer problem worth productising — we pair your domain knowledge with product design and engineering.
How partnering works →Why Boteam exists
Amplify Humanity. AI that lifts humans.
Boteam is built in Brisbane for SME everywhere. We design and operate AI-assisted workflows daily — including this site, which is drafted with AI tools and reviewed by a person before anything ships.
Everything in the playbook follows one method: give AI a clear job, useful company knowledge and a human check, then let every correction improve the rule. We publish evidence with its limits, and we do not publish results we have not earned.