A year ago, the question was whether AI assistants could be useful for business. That is settled. The question now is which one — and the market has made that question harder, not easier. There are hundreds of AI assistant products, most of them making similar claims, and the differences between them are not obvious from a landing page.
This guide gives you a framework for evaluating AI assistants based on what actually matters for a business. Not features lists. Not buzzwords. The criteria that determine whether an AI assistant will genuinely save you time or just become another tool you pay for and barely use.
The Three Categories of AI Assistants
Before evaluating specific products, understand the three categories. Most AI assistants fall into one of these buckets, and the right choice depends on your business size, needs, and budget.
Category 1: Generic AI Tools
Products like ChatGPT, Gemini, Claude, and Copilot. Powerful general-purpose tools that can draft text, answer questions, and help with brainstorming. But they have no knowledge of your business — every conversation starts from scratch. You spend time providing context before you get to the useful output.
- Cost: $20 to $50 per month
- Best for: Ad hoc tasks, research, one-off writing. Not suited for ongoing business communication.
- Limitation: No memory of your business. No integration with your tools. You are the integration layer.
Category 2: Enterprise AI Platforms
Products like Moveworks, Glean, and large-scale enterprise automation platforms. These are designed for companies with hundreds or thousands of employees and dedicated IT teams to manage them.
- Cost: $10,000 or more per month (often six-figure annual contracts)
- Best for: Large enterprises with complex internal workflows and dedicated technical teams.
- Limitation: Overkill for small businesses. Requires technical resources to implement and maintain. Long sales cycles.
Category 3: Configured AI Assistants
Products designed for small to mid-size businesses that are set up specifically for your business context. An AI employee that learns your clients, your voice, and your workflows before it does any work.
- Cost: $99 to $500 per month
- Best for: Small businesses and professional services firms where the owner or team is bottlenecked by communication work.
- Limitation: Not suited for tasks requiring live human interaction. Requires your review-and-approve involvement.
Where most businesses land
If you are a business with 1 to 50 people, you have probably tried Category 1 (generic tools) and found them useful but limited. Category 2 (enterprise) is too expensive and complex. Category 3 (configured assistants) is the sweet spot — purpose-built for businesses your size, configured for your specific context.
The 7-Point Evaluation Framework
Use these seven criteria to evaluate any AI assistant. Score each one on a scale of 1 to 5 and you will have an objective comparison.
1. Configuration Depth
The most important criterion. Ask: how deeply does this assistant learn my business before it starts working?
- Red flag: "Sign up and start using it immediately." That means no configuration — it is generic.
- Yellow flag: "Fill out a questionnaire about your business." Better, but shallow.
- Green flag: "We review your client communications, learn your voice, understand your workflows, and configure the assistant for your specific business." That is real configuration.
A properly configured AI assistant should know your clients by name, understand your industry terminology, match your writing voice, and follow your standard processes. If it cannot do these things on day one, it is not configured — it is generic with a label.
2. Human Review Loop
Can you review and approve everything before it goes out?
This is non-negotiable for business communication. Any AI assistant that sends emails, messages, or documents on your behalf without your review is a liability. The best systems draft everything and present it for your approval. You review, edit if needed, and send. The AI does 90 percent of the work. You provide the 10 percent that matters — judgment and final approval.
3. Integration Depth
Does it connect to the tools you already use?
An AI assistant that requires you to copy-paste information in and out is barely better than doing it yourself. Look for native integration with your email, CRM, calendar, and messaging platforms. For real estate, that means Follow Up Boss or kvCORE. For law firms, that means Clio or MyCase. For SaaS teams, that means Salesforce or HubSpot. The assistant should live where your work already lives.
4. Onboarding Time
How quickly will this be useful?
A well-designed AI assistant should be operational in days, not weeks. If the vendor quotes a month-long implementation, they are either doing excessive manual work that should be systematized, or their technology is not designed for efficient configuration. The best providers handle setup in 48 hours — you provide access to your business context, they configure the assistant, and you start reviewing output within days.
5. Pricing Transparency
Do you know exactly what you will pay?
- Best: Flat monthly pricing with clear tiers. You know the cost before you start.
- Acceptable: Per-seat pricing that scales predictably with team size.
- Avoid: Per-message, per-action, or usage-based pricing. These models make costs unpredictable and penalize you for actually using the tool. The last thing you want is to hesitate before using your assistant because you are watching a meter.
6. Communication Channels
Where does the assistant live?
If the assistant only works through a web dashboard you have to log into, you will stop using it within a month. The best AI assistants meet you where you already communicate — your inbox, Slack, iMessage, WhatsApp, or SMS. No new apps. No new habits. It fits into your existing workflow rather than asking you to build a new one around it.
7. Transparency and Auditability
Can you see what the assistant did, what it decided not to do, and why?
You should be able to review every draft, every decision, and every action the assistant took. If it flagged a client email as low-priority, you should know why. If it drafted a follow-up with a specific tone, you should understand the reasoning. Black-box systems erode trust over time. Transparent systems build it.
Red Flags to Watch For
In your evaluation, watch for these warning signs:
- "Fully autonomous" claims. Any vendor claiming their AI assistant operates without human oversight is either lying or reckless. AI makes mistakes. The review loop is what keeps those mistakes from reaching your clients.
- No live demo with your data. If a vendor cannot show you the product working with your actual business context during a demo, they are showing you a template — not a configured assistant.
- Vague integration promises. "We integrate with everything" usually means "we integrate with nothing well." Ask for specifics about your tools.
- Long-term contracts. A good AI assistant proves its value in the first month. If the vendor requires a 12-month commitment before you have seen results, that is a red flag about their confidence in retention.
- No human support. AI is the product, but humans should support it. If there is no one you can talk to when something is not working, you are on your own.
What "Done-for-You" Actually Means
Some AI assistants are self-serve — you sign up, configure them yourself, and figure out how to make them useful. Others are done-for-you — the provider handles the configuration, the setup, and the ongoing optimization.
For most small business owners, done-for-you is the right model. You do not have time to become an AI prompt engineer. You have a business to run. A done-for-you provider:
- Reviews your business context and configures the assistant for you
- Handles the technical integration with your tools
- Optimizes the assistant over time based on your feedback and usage patterns
- Provides ongoing human support when you need it
The trade-off is a slightly higher monthly cost versus a self-serve tool. But the time you save on configuration and maintenance makes the done-for-you model dramatically cheaper when you account for your time.
Your Evaluation Scorecard
Use this to compare AI assistants side by side. Score each criterion 1 to 5:
| Criterion | What to Look For | Score (1-5) |
|---|---|---|
| Configuration depth | Learns your clients, voice, and workflows | ___ |
| Human review loop | Nothing sends without your approval | ___ |
| Integration depth | Connects to your email, CRM, calendar | ___ |
| Onboarding time | Operational in days, not weeks | ___ |
| Pricing transparency | Flat monthly, no usage surprises | ___ |
| Communication channels | Works where you already communicate | ___ |
| Transparency | Can see what it did and why | ___ |
Any AI assistant scoring below 3 on configuration depth or human review loop should be eliminated immediately. Those are the two criteria that separate useful tools from expensive toys.
See how Ghosti scores
Ghosti is a done-for-you AI assistant that scores high on every criterion: deep business configuration, review-and-approve workflow, native integrations, 48-hour setup, flat monthly pricing, and works in your existing communication channels. See how it works →