The AI automation market is crowded and noisy. Agencies that “specialize in AI,” freelancers offering to “set up your automations,” and platforms promising to automate your business with no code — the options are overwhelming and the quality is wildly inconsistent.
This guide gives you a clear framework for evaluating AI automation vendors — what questions to ask, what red flags to watch for, and what a good engagement actually looks like.
The Four Vendor Types (and Who They’re For)
Type 1: No-Code Platform Vendors (Zapier, Make, n8n)
These are tools, not services. They let technically-inclined users connect apps and build simple automations without coding. Great for straightforward triggers and actions (“when X happens, do Y”). Not great for anything involving AI, natural language, complex logic, or custom integrations.
Best for: Businesses with technical staff who want to build simple automations themselves.
Type 2: General Digital Agencies
Most digital agencies will say yes to AI automation projects because they say yes to everything. They typically subcontract the technical work, charge a premium for project management overhead, and deliver on long timelines.
Best for: Businesses already working with an agency on other projects who want to add automation as a line item.
Type 3: Enterprise AI Consultancies
Large consulting firms with AI practices (McKinsey QuantumBlack, Accenture AI, Deloitte AI Institute). Excellent capabilities, $50,000+ minimums, 6–12 month timelines. Not designed for small businesses.
Best for: Large enterprises with complex automation needs and large budgets.
Type 4: Productized AI Automation Services (like Runvance)
Fixed-price, scoped deliverables with defined timelines. Specifically designed for small businesses. The vendor has done the same type of automation enough times to know exactly what it takes and price it correctly upfront.
Best for: Small and mid-size businesses that want a working automation deployed quickly at a predictable cost.
Questions to Ask Before Hiring Anyone
1. “What exactly will be delivered at the end of this engagement?”
A good vendor can answer this in plain language: “A live lead follow-up system that does X, Y, and Z — connected to your HubSpot and Gmail, with a go-live date of [date].”
A bad vendor gives you a vague answer about “AI strategy” or “automation roadmaps.” Those are deliverables you can’t run on.
2. “What is the total cost, and are there ongoing fees?”
Get the complete number — setup fee, any software subscriptions you’ll pay for, and ongoing support costs. A $500 setup fee from a freelancer that requires $300/month in tools plus their ongoing support hours may cost more than a $2,500 fixed-price package that includes everything.
3. “What happens if the automation breaks?”
Every automation will eventually break — because an API changes, a tool updates, or an edge case surfaces. Find out: Is post-launch support included? For how long? What’s the response time? Who do you call?
4. “Can I see an example of something you’ve built?”
Not a portfolio deck or testimonial screenshots. A demo of an actual working automation, or a technical walkthrough of what they’d build for your use case. Any experienced automation vendor can show you the work.
5. “What do you need from me and my team?”
A realistic vendor will tell you this upfront: access to your CRM, credentials for your email platform, 2–3 hours of your time for the discovery and go-live calls. If they say “nothing, we’ll figure it out ourselves,” that’s a red flag — every integration requires client-side access.
Red Flags to Watch For
“AI-powered” with no specifics. Every vendor claims AI. Ask what AI models they use, where the AI sits in the workflow, and what decisions it makes. If they can’t explain this clearly, they’re using the word as a buzzword.
No written scope before you pay. Any reputable automation vendor provides a written scope document that specifies deliverables, timeline, and price before you sign anything. If they want a deposit before scoping, walk away.
Hourly billing for automation work. Automation should be scoped and priced as a project, not billed hourly. Hourly billing means your cost is open-ended and the vendor has no incentive to work efficiently.
Vague timelines. “We’ll get it done in a few weeks” is not a timeline. A go-live date in the scope document is a timeline.
No post-launch support. An automation vendor who disappears after deployment is not a vendor — they’re a contractor. Ask specifically what post-launch support looks like.
What a Good Engagement Looks Like
A well-run AI automation engagement follows this structure:
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Free scoping call (30 min): The vendor learns your current workflow, identifies the automation opportunity, and asks clarifying questions. No selling, just listening.
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Written scope and fixed quote: You receive a document specifying exactly what will be built, how it will work, what tools it connects to, when it will go live, and what it will cost. Review it, ask questions, request changes.
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Sign and build (2–4 weeks): The vendor builds, tests, and prepares for deployment. You’re available for questions and to provide system access. You don’t need to be involved daily.
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Go-live and handoff: The vendor deploys the automation, walks you through how it works, and answers questions. You approve that it meets the spec before the engagement closes.
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Post-launch support: The vendor monitors the automation and resolves any issues for 30 days at no extra charge.
The Runvance Model
Runvance is a productized AI automation service for US small businesses. Fixed prices. Written scopes. Go-live dates guaranteed. 30-day post-launch support included. The Starter package — one complete automation system live in 2 weeks — is $2,500 one-time.
Book a free scoping call to get a clear picture of what automation could do for your specific business — and a fixed price before you commit to anything.