A short, structured assessment that gives you a personalised picture of how AI could realistically help your business. You complete an 8-minute assessment and get your readiness score instantly. We then talk through it together on a free 30-minute call and deliver a written report within 24 to 48 hours.

How much does the AI audit cost?

Nothing. The assessment, the call, and the written report are all free. No payment details, no trial, no fine print.

There isn't one. Some of the businesses we assess ask us to build what the plan finds, and that paid work is how we keep the assessment free. If you take your plan and act on it yourself, that outcome works for both of us.

Am I obligated to hire you afterward?

No. There's no pitch built into the call, and we hold nothing back in the plan. Some owners run with it themselves, some ask us to build it. Both are normal.

Who is the AI audit for?

Small and mid-sized service businesses, typically two to fifty people. Any industry. You don't need any technical background.

How long does the whole process take?

Under a week in most cases. The assessment takes about 8 minutes. The discovery call is 30 minutes. The written report lands within 24 to 48 hours of the call.

Do I need any technical knowledge?

No. The process reads like a conversation with a knowledgeable friend, in plain English throughout.

What happens during the discovery call?

We walk through your business, workflows, bottlenecks and customer journey in detail. The assessment gives us the starting point.

What will my report include?

A written document covering the specific opportunities we identified, tools that fit your stack, an implementation path, and next steps. You're free to take it anywhere.

Is my business information kept confidential?

Yes. We don't share or resell your responses, and the report is yours alone.

What if I'm already using AI in my business?

That's common. The audit maps where you are against where you could be, and surfaces gaps that experienced users miss.

Workflows

AI customer support without making customers hate you

Daksham BugrejaJuly 6, 20267 min read

AI customer support works for a small business when it automates the repeat 80 percent of questions and routes the rest to a human within one step. The repeat questions (hours, status, pricing, how-to) resolve faster by machine than by queue. The design of the escalation path, the handoff from bot to person, decides whether customers experience the system as service or as a wall.

Everyone has been trapped by a bad support bot, which is why owners flinch at this workflow. The bad bots share one design: they exist to prevent contact with a human. Build the opposite (a fast first line with a visible door to a person) and the economics work without the resentment.

The 80/20 shape of small business support

Pull a month of your support emails and calls and sort them. The pattern repeats across industries: the large majority are variations on ten to twenty questions, asked politely, by people who would rather not have had to ask. The remainder are the real cases: complaints, edge cases, judgment calls, and the conversations that decide whether a customer stays.

The split we find when we audit support inboxes. The left side is a reading-and-typing tax; the right side is the actual job.

The trap is treating both sides the same. Automating the 20 percent produces the bots people hate. Staffing the 80 percent burns your team's hours on copy-paste answers and slows the real cases behind them in the queue.

What the automated first line looks like

Trained on your business, and only your business. Modern support AI answers from your documents, policies, and past replies. If the answer is absent from your material, it says so and hands off instead of improvising. That single behavior separates the current generation from the old keyword bots.
Instant on the easy, honest about the hard. "Your order shipped Tuesday" in four seconds beats it in four hours. "I'll get a person to look at this" beats a wrong guess every time.
An escalation path with context. When the human takes over, the transcript and details come along, and the customer repeats nothing. The repeat is the moment support bots earn their reputation.

How do you know when it hands off?

Three triggers cover most designs: the customer asks for a person (honor it the first time, always), the AI's confidence drops, or the topic hits a defined list (refunds above a threshold, complaints, anything legal). Where those lines sit for your business is a judgment call worth making with your actual ticket history open. Wrong lines in either direction cost you: too loose and the bot annoys, too tight and it saves nothing.

What this recovers, and where it ranks

A business fielding 20 repeat questions a day recovers 10 to 15 staff hours a week from a working first line, plus the response-time jump customers feel immediately. Whether support automation is your first project or your fourth depends on how your hours split across email, scheduling, and the phone (the voice-call version of this problem has its own fit test).

Our free AI readiness assessment reads your description of where the repeat questions land and ranks support against your other workflows, in about 8 minutes. If it is your biggest leak, the results say so with an hours estimate.

Frequently asked questions

Will an AI support bot make my small business feel corporate?

Tone is configurable, and the bots read the way you train them to. What makes a business feel corporate is a customer waiting two days for "our hours are on the website." Fast and warm beats slow and personal-in-theory.

What does AI customer support cost?

Entry tools run $30 to $100 per month; mid-tier platforms with proper escalation and CRM ties run a few hundred. Setup effort lives in your knowledge base: if your policies exist only in your head, writing them down is the project.

Can it work over email rather than a chat widget?

Yes, and for many small businesses email-first is the right shape: AI drafts or sends replies to the repeat questions in your existing inbox, and nobody has to adopt a widget. Chat suits businesses whose customers already expect it.