We have an AI automation department focused on practical automation for operating businesses — the repetitive work that costs you hours, not speculative projects. It scales from a single workflow to enterprise integration.
We’re an AI consulting and automation agency for small and mid-size businesses — and we scale with larger teams too. We assess where AI actually saves you money, build the automations and assistants worth building, verify their outputs before you rely on them, and hand you everything in accounts you own: your API keys, your accounts, your automations. What it costs gets answered straight: the market’s real numbers are on what AI automation costs, and your scoped quote arrives in writing the same business day.
AI consulting for small businesses — the part that comes first
Most of the value we deliver happens before anything is built. AI consulting, as we practice it, is three unglamorous steps:
- Assess. We map your actual workflows — intake, scheduling, quoting, follow-up, reporting — and find where hours are really going. The best automation target is usually not the one the owner guessed.
- Prioritize by math. Each candidate gets a number: hours saved × who’s doing them, against build cost and monthly run cost. Most candidate ideas lose to that math, and we tell you so. A typical engagement builds two or three things, not fifteen.
- Build and verify. Then we build — and every build ships with the verification layer described below, because an automation you can’t trust creates more work than it saves.
What we refuse to oversell: AI will not run your business, replace your judgment, or “10x” anything by default. It’s very good at a specific class of work — reading, routing, drafting, summarizing, moving data between systems — and our job is to find where that class overlaps your payroll.
What is AI consulting, exactly?
AI consulting is the work of deciding — with evidence — where AI fits a specific business: which workflows it can reliably take over, what that’s worth in saved hours and faster response, what it costs to build and run, and where the risks (wrong answers, data exposure, over-automation) need controls. It’s distinct from AI development, which is the building itself; done right, the consulting is what stops the development from being a science project. For a small business the whole cycle is measured in weeks, not quarters — the point of hiring a consultant at this scale is to skip the expensive wandering, not to fund a longer version of it.
AI automation services — what we actually build
The implementation lane, in concrete terms:
- Workflow automation — connecting the tools you already use (CRM, email, calendar, invoicing, sheets) so data stops being retyped. We build on n8n, Make, and Zapier where they fit, and custom code where they don’t — and we’ll tell you which, and why, in the quote.
- Document and inbox intelligence — leads triaged and routed, documents read and summarized, quotes drafted from your pricing rules for a human to approve.
- Customer-facing assistants — website and intake assistants that answer from your documented knowledge, escalate to a human when unsure, and never invent an answer. (More under the chatbot section below — this is where verification matters most.)
- Reporting automations — the numbers you check weekly, assembled and delivered without anyone building the spreadsheet again.
What is an AI automation agency?
An AI automation agency is a firm that designs, builds, and maintains AI-powered systems — workflow automations, assistants, integrations — for client businesses, rather than selling software subscriptions. The good ones are accountable for outcomes (hours saved, response times, error rates) and hand over systems the client owns; the bad ones resell no-code templates at consulting prices. The section above on what we refuse to oversell is, in practice, how you tell them apart in a sales call.
The fact-checked-outputs standard
Here’s the differentiator we care most about, stated plainly. AI systems produce wrong answers with total confidence — anyone selling AI without saying that sentence is not being straight with you. So every build we ship includes a verification layer sized to the stakes:
- Grounding: customer-facing assistants answer only from your approved knowledge base, and say “I don’t know — let me get a person” instead of improvising. An “I don’t know” is a feature; a confident invention is a liability.
- Human gates: anything consequential — quotes, payments, commitments to a customer — is drafted by the machine and approved by a person. We put the gate where your risk is, and we’ll argue with you if you ask us to remove it.
- Testing against reality: before launch, every system runs against real historical cases from your business, and you see the accuracy numbers — the real ones, including the failures.
- Honest limits, in writing: the handover doc states what the system is reliable at, where it degrades, and what it should never be trusted with.
We don’t promise perfect accuracy. We promise measured accuracy — and no competitor we’ve reviewed states even that. The standard exists because the failure mode is predictable: an unverified automation works impressively in the demo, ships, and then quietly does the wrong thing at low volume for months until a customer or an invoice catches it. Verification costs a slice of the build budget; discovering the failure in production costs the whole premise.
Your accounts, your keys
You own every account. Always.
Your website, domain, hosting, Google Ads, Analytics, Search Console, and Business Profile are set up in accounts you own, in your name, with you as admin. We work inside them with our own logins. If we ever part ways, you change one password and everything stays exactly where it belongs: with you.
For AI work, that guarantee extends explicitly: your API keys, your accounts, your automations. The OpenAI or Anthropic account is yours, so you see exactly what the AI usage costs (we mark up nothing on tokens). The n8n, Make, or Zapier workspace is yours. The prompts, workflows, and documentation are deliverables you keep. If we part ways, every automation keeps running without us — that sentence is rarer in this industry than it should be.
What it costs
Across the market, scoped single automations start around $2,000 and multi-system builds run to $50,000+, plus monthly run costs (API usage and tooling — billed to accounts you own, at cost, no token markup). The full breakdown — real ranges by project type, build cost vs run cost, and when not to spend — is on the AI automation cost page. Your scoped quote comes back the same business day.
AI agent development
“Agents” — systems that take multi-step actions, not just answer questions — are the frontier everyone’s selling and fewer are shipping responsibly. We build scoped agents where the math works: intake agents that gather what a human closer needs, research agents that assemble briefings, operations agents that watch a queue and act within defined limits. Every agent gets the fact-checked-outputs treatment and hard boundaries on what it may do without a human. If your need is bigger — a complex custom agent platform — we’ll say honestly whether it’s a fit for a dedicated engineering shop instead; see what agent builds cost before anyone pitches you a number.
AI chatbot development
The chatbots worth building answer customer questions from your real knowledge — services, pricing, availability, policies — capture the lead, and hand off to a human at the right moment. The ones not worth building are the ones that improvise; a support bot that invents a policy costs more than it ever saved. That’s why our chatbot work leads with the verification layer: grounded answers, honest escalation, and accuracy you’ve seen measured before launch.
AI integration — Zapier, Make, n8n & custom
If you already run tools you like, integration is usually the highest-ROI entry point: AI added into the workflow you have, not a platform migration. We work as the consultant layer on n8n, Make, and Zapier — choosing the right one for your volume and budget matters more than any of their marketing suggests — and write custom glue where no-code tools tap out. Typical first project: one revenue-touching workflow, automated end to end — market-typical builds of this shape start around $2,000.
Generative AI consulting — the strategy half, kept honest
Some engagements start earlier than a build: “we know AI matters, we don’t know where it fits us.” That’s a consulting engagement, and we keep it honest by making it short and concrete — a working session on your actual operations, the prioritized candidate list with payback math attached, a policy answer for the questions your staff are already asking (what can we paste into a chatbot? what about client data?), and a written recommendation that includes, when true, “nothing here clears the math yet.” What we don’t sell: transformation roadmaps, AI committees, or a retainer to keep talking about it. Assessment-first consulting engagements run in the low four figures across the market ($1,500–$5,000 is the honest band); ours is quoted the same business day and credited toward any build that follows.
n8n, Make, or Zapier — an honest word on tooling
The no-code automation platforms are genuinely good and genuinely different, and the right answer is about your volume and budget, not our convenience. Zapier is the easiest to live with and the most expensive at scale — right when your automation count is small and your volumes are modest. Make sits in the middle: more power per dollar, more complexity per task. n8n is the most capable and cheapest at volume — self-hostable, no per-task metering that punishes success — at the price of needing someone who knows what they’re doing (that’s us) for the setup. We’ll put the recommendation and its five-year cost math in the quote; whichever we build on, the workspace is yours, so the choice never locks you to us.
Industries where this lands first
The same handful of small-business patterns keep paying for themselves:
- Service businesses drowning in intake — missed calls are missed revenue; assistants, routing, and instant follow-up recover inquiries that used to die in voicemail.
- Practices with heavy scheduling load — reminders, reschedules, intake forms, and the no-show math that improves when all three run automatically.
- Contractors and trades that quote from rules — if your estimator prices from consistent logic, a draft-quote automation turns same-week responses into same-hour ones, with a human approving every number.
- Anyone whose operations run on retyping — CRM to invoice to spreadsheet to email; the least glamorous automations, the most reliable payback.
If you recognized your business in that list, the assessment below will put numbers on it. These verticals are also where we’ll build dedicated service pages as real case results accumulate — capability first, marketing second, in that order on purpose.
AI receptionist — the calls you’re missing, answered
For service businesses, the most expensive machine in the building is the phone that rings while everyone’s on a job. An AI receptionist answers every call, every time: it greets callers in your business’s voice, answers the questions that make up most call volume — hours, service area, pricing basics, “do you handle X” — books appointments directly into your calendar, and hands anything complicated to a human with a transcript, not a cold start.
What we build, concretely: call answering and routing trained on your actual services and FAQs, calendar integration with your existing booking system, after-hours and overflow coverage (the two moments small businesses leak the most revenue), and text-back for missed-call capture. Every conversation is logged where you can read it.
The honesty layer, because AI on the phone can embarrass you: our receptionists ship with a verification layer and hard limits — the agent answers from an approved knowledge base, says “let me have someone confirm that” instead of guessing at anything outside it, and escalates by rule, not by vibes. We publish what the system can’t do alongside what it can. And the standing guarantee extends to AI: your phone number, your accounts, your API keys, your automations — all in your name, always. Build and run numbers: what AI automation costs.
AI sales agent — every lead answered in seconds, honestly
Speed decides small-business sales: the inquiry that gets a reply in two minutes closes; the one that waits until tomorrow already called your competitor. An AI sales agent sits on your forms, chat, and inbox and does the part where deals die — instant response, qualification, and scheduling — so the first human touch happens with a qualified, booked prospect instead of a cold list.
What we build: lead response across your website chat, contact forms, and email; qualification flows that ask your qualifying questions (budget, timeline, service fit) in plain conversation; direct scheduling into your sales calendar; CRM logging so nothing lives only in a chat window; and follow-up sequences for the leads that stall — persistent, polite, and capped, because nobody should be stalked by your website. For customer-service-heavy businesses, the same machinery handles support: an AI customer service agent that resolves the routine tickets and escalates the rest with full context.
The line we won’t let an agent cross: it never invents an answer to win the conversation. Pricing, availability, and capability answers come from an approved source or get escalated — a sales agent that overpromises is manufacturing refunds, and a chatbot that hallucinates a discount is a legal problem wearing a smile. Verification layer, audit log, stated limits: that’s the standard on every build. Your CRM, your accounts, your keys — yours, always.
If you’re an enterprise — honestly, hire someone else
Enterprise AI transformation is a real discipline with real firms — Accenture-class budgets, procurement, compliance reviews. That’s not us, and pretending otherwise would break the honesty this page runs on. If you’re a five-to-fifty-person company that wants working automations this quarter, in your own accounts, with straight cost answers — that’s exactly us, and it’s a segment the enterprise firms can’t serve profitably. The self-qualification cuts both ways, which is why we state it: the same economics that make you invisible to the big consultancies make you exactly the right size for builds that pay back in months instead of fiscal years.
Start with the free AI-readiness assessment
Ten minutes, free, honest: email us a description of your operations (or just your website) and we’ll send back an AI-readiness assessment — where your workflows are automation-ready, where they aren’t, and the payback math on the two or three best candidates. If the honest answer is “you’re not ready, fix these two things first,” that’s the answer you’ll get. It’s also, not coincidentally, a demonstration of the fact-checked-outputs standard in miniature.
The exit terms, in one sentence
Everything we sell is month-to-month: email us before your next billing date, pay nothing further, and keep everything we built — that is the entire cancellation policy.
You talk to the people doing the work
No handoff to a junior account manager. The person you meet on the first call is the person who works on your account, and you hear back the same business day.
Frequently asked questions
What data of mine touches the AI, and where does it go?
Only what the specific automation needs, and the map is part of every handover: which fields flow to which model, under whose account (yours), and with what retention settings. We configure business-tier API access — which by the major providers’ own terms is not used to train their models — never consumer chatbot accounts, and anything genuinely sensitive gets flagged in scoping with the option to keep it out of the system entirely. If a vendor can’t produce this map for their own build, that’s your answer about the build.
Who builds AI agents and automations for small businesses?
Three kinds of providers: enterprise consultancies (wrong budget class for small business), software vendors selling one-size tools (you adapt to them), and small AI consulting shops like this one that assess, build, and hand over custom automations in your own accounts. When vetting any of them, the two questions that sort the field fastest: “who owns the accounts and keys?” and “how do you verify outputs before I rely on them?”
What does AI consulting cost?
Across the market: assessment-first consulting runs roughly $1,500–$5,000, scoped builds start around $2,000, and monthly run costs (API usage, tooling) should always be billed at cost in your own accounts — full ranges on the cost page. More broadly, small-business AI projects commonly land in the four-to-five-figure range per build; enterprise engagements are a different universe. Any quote should split build cost from run cost — a proposal that hides the monthly API bill is hiding your real total.
Is an AI automation agency worth it for a small business?
Worth it when a repetitive, rule-describable chunk of paid hours exists — intake, scheduling, data entry, follow-up — and the math (hours saved × loaded cost, against build + run cost) clears payback in months. Not worth it when volumes are tiny, the process changes weekly, or the honest bottleneck is sales, not operations. That math is exactly what the free assessment computes.
How long does an AI automation project take?
Single workflow automations: typically two to four weeks from kickoff to handover, including testing against your real historical cases. Grounded assistants: four to eight weeks, because knowledge-base construction and accuracy testing are most of the work and we won’t skip them. If a vendor quotes “live in 48 hours,” ask what got skipped — the answer is always the verification.
Will AI automation replace my staff?
In small businesses, almost never — it removes the retyping, routing, and drafting from existing jobs, which mostly converts to faster response times and capacity you didn’t have to hire for. The businesses that get burned are the ones that remove the human from judgment calls; our builds put the human gate exactly there on purpose.
Start with the free AI-readiness assessment — one email, same-business-day reply — or go straight to the real numbers.