Who this is for

Operations leaders, IT leaders, and office managers at 50 to 250 employee businesses evaluating an AI receptionist for the first time. The evaluation criteria here are different from the ones a 5-person shop uses because mid-market buying involves procurement review, security sign-off, multiple stakeholders, and an existing phone system that cannot be ripped out.

For the general buyer checklist (call quality, booking accuracy, routing, CRM logging, concurrency, cost transparency), start with the AI Receptionist Evaluation Guide for SMBs. This page adds the criteria that are specific to 50 to 250 employee evaluations.

What mid-market evaluations add to the checklist

1. Procurement and security review

At this size, most companies have an IT or security function that reviews new vendors before signing. The artifacts they typically ask for:

• Data handling and privacy summary

• Sub-processor list

• Call and SMS data retention policy

• AI training data policy (whether your customer calls are used to train models)

• Access controls and admin roles

Frontdesk publishes all of these. See Data Handling, Privacy, and Compliance Summary and AI Training Data Policy. Expect your review to ask whether the vendor is HIPAA-certified (Frontdesk is not; see the Healthcare Fit Guide for what this means in practice) and whether PCI data can be passed through voice or SMS (it should not be).

2. Coexistence with an existing phone system

Most 50 to 250 employee businesses already pay for a UCaaS or VoIP platform (RingCentral, 8x8, Dialpad, Zoom Phone, Microsoft Teams Phone, or similar). You are not replacing the phone system. You are adding a layer that answers inbound calls with AI and hands them off when needed.

Two common configurations:

• AI on a published number. Your marketing or front-desk number points at Frontdesk. Internal calls, conference bridges, and outbound dialing stay on your existing UCaaS. When the AI warm-transfers, it calls into your existing system.

• AI on an overflow. Your existing phones ring first. If nobody picks up, the call rolls to Frontdesk, which triages and either handles the call or messages the relevant team.

The Intelligent Call Routing guide covers both patterns. Either approach preserves your current extensions, conference lines, and outbound dialing.

3. Multi-team admin structure

At this size, the AI receptionist is not owned by one person. The sales team owns lead intake scripts, the ops team owns escalation rules, the marketing team owns the FAQs shown in AI Web Chatbot conversations, and IT owns integrations and security.

Frontdesk includes Editor seats on the Business plan (2 seats) and custom seats on the Enterprise plan. For a 50 to 250 employee deployment, Enterprise is typically the right fit because you need more than two people editing without stepping on each other.

Admin roles to set up on day one:

• A workspace owner (single point of accountability, typically ops or IT)

• A scripts owner (writes greetings, FAQ answers, intake forms)

• An integrations owner (maintains Zapier, CRM sync, calendar connections)

• A reporting consumer (reads Dashboards & Reporting; does not edit)

Review the Support by Plan guide for what Enterprise includes (volume discounts, API access, custom integrations, dedicated account manager, and white-glove onboarding).

4. Rollout approach

Mid-market rollouts should not flip all inbound calls to AI on day one. The pattern that works:

• Weeks 1 to 2: pilot on one line (a marketing number, a specific office, or a specific intent like "after-hours only"). Staff monitor transcripts daily.

• Weeks 3 to 4: expand to the main line during business hours for a specific call type (FAQs, scheduling) while humans still handle complex calls.

• Weeks 5 to 8: expand to 24/7 coverage on the main line with warm-transfer to the right team for exceptions.

The Onboarding: 10-step setup and launch checklist covers the first-week setup in detail.

5. Change management with your team

The single biggest evaluation mistake at this size is assuming the tool sells itself internally. It does not. The receptionist team, sales team, and service team all need to understand three things:

• What the AI handles and what it escalates to them (the Operational Guardrails page is the source of truth)

• How transcripts and notes land in their existing tools (the HubSpot, Salesforce, and Zapier guides cover the major CRMs)

• How they give feedback to improve the AI's responses

Run a 30-minute internal launch for each team and document it.

Plan selection for mid-market

Frontdesk's three plans from the Pricing page:

Plan	Fit for mid-market
Free ($0)	Evaluation only. Limited usage, no credit card required.
Business ($99/month, or $79/month billed annually)	Fit if your inbound volume is low and one or two admins cover the workspace. Includes 200 voice minutes/month, 2 editor seats, 20 outbound calls/day, 20-page knowledge base.
Enterprise (custom)	The typical mid-market fit. Custom voice minutes, unlimited editor seats, API access, dedicated account manager, white-glove onboarding.

The question that drives the plan choice is minute volume, not employee count. A 200-person professional-services firm with 300 inbound calls a month can run on Business. A 60-person home-services operator with 5,000 inbound calls a month needs Enterprise.

Evaluation questions that should be in every mid-market RFP

• How are call recordings and transcripts stored, and for how long?

• What is your sub-processor list?

• Is our call data used to train models? (See AI Training Data Policy)

• What does the admin permission model look like?

• How does the AI warm-transfer to our existing phone system?

• What is the SLA on uptime?

• What happens if a call hits a question not in the knowledge base? (Guardrails and safe fallbacks; see Operational Guardrails)

• What integrations are supported with our CRM and calendar?

• What is the onboarding plan for a mid-market deployment?

What this replaces

Most mid-market businesses running on a UCaaS platform end up with one of two problems: paying for a live answering service that costs $3 to $8 per call and fluctuates with volume, or accepting that 20 to 30 percent of inbound calls hit voicemail during peaks and after hours. Both have quiet revenue leaks attached.

Adding an AI receptionist layer answers every call instantly with unlimited concurrent calls, routes complex ones to the right human, and sends SMS follow-ups on the ones that need a conversation. The existing phone system stays in place for everything else.

Related resources

• AI Receptionist for Inbound-Call-Heavy SMBs — the general evaluation checklist

• Product Guide — feature-by-feature reference

• Operational Guardrails — what the AI handles and what it escalates

• Data Handling, Privacy, Compliance — artifacts for security review

• AI Training Data Policy — how call data is used

• Onboarding: 10-step setup — first-week rollout detail

• Support by Plan — Enterprise inclusions and SLAs

• Pricing — current tiers