Choosing an AI agent? Check these first.
Most AI agent demos look great for ninety seconds. These are the fourteen questions that decide whether an agent actually runs outcomes in production — and how Callaro answers each one.
Callaro · Sales agent on a call
Inbound enquiry · Real estate · 00:00
Call → WhatsApp
Brochure, price sheet and location sent on WhatsApp
Brochure, price sheet and location sent on WhatsAppActions executed
3/3- Lead qualified in CRM
- Brochure sent on WhatsApp
- Site visit booked · Sat 11:00
The 12-point checklist
Run every AI agent platform — including Callaro — through these before you sign anything.
Is it one agent across every channel?
Why it matters. Customers call, then WhatsApp, then email. Separate bots per channel forget everything in between, multiply your build work and break the journey.
Callaro. Yes. One Callaro agent runs on phone, web browser and in-app calls, WhatsApp, website and app chat, SMS, RCS, email and a headless API channel — with one memory per customer, cross-channel actions (send a WhatsApp mid-call, turn a chat into a call), live events from your systems, and one inbox for your team.
Can it handle your customers' real languages — including accents and code-switching?
Why it matters. Real callers switch languages mid-sentence and speak over noisy phone lines. An agent trained on clean English demos falls apart on the first live call.
Callaro. 77+ languages with native pronunciation and normalization packs — Arabic, Chinese, Spanish, Portuguese and per-language Indian packs — plus evidence-based mid-call language switching and code-switching, tuned for real telephonic audio, not studio recordings.
Can you choose and change the AI models behind each agent?
Why it matters. A single fixed model means you are stuck with its accuracy, latency, cost and language coverage. Needs change; your stack should too.
Callaro. Pick the STT, TTS and LLM for every agent, and swap any of them any time — no rebuild, no lock-in.
Is the cost transparent and controllable?
Why it matters. Bundled per-minute pricing hides where your money goes and makes cost-per-outcome impossible to manage.
Callaro. See the exact per-minute cost by component — STT, LLM, TTS and add-ons — before you launch; calls start from $0.06/min. Chat and messaging are billed by tokens, once per conversation, with daily spend caps.
Does it actually take action, or just talk?
Why it matters. An agent that only collects information leaves the real work — bookings, updates, payments — for a human to finish later.
Callaro. Tool calls mid-conversation on any channel: CRM writebacks, bookings, payment links, and WhatsApp, SMS or email sends during the call — with results pushed to your systems.
Does it follow up and persist until the outcome lands?
Why it matters. One attempt rarely closes the loop. No-answers, busy tones and reschedules are where most outcomes are won or lost.
Callaro. Automated retries, follow-ups on call, WhatsApp, SMS or email at the time the customer chose, "call me now" from any chat, and multi-touch cadences — every attempt logged.
Can it personalize with your variables and per-contact data?
Why it matters. Generic scripts sound like robocalls. Real conversations reference the customer's name, history and context.
Callaro. Static, pre-call and call-metadata variables plus per-contact fields, so every call and message is personalized to the person on the other end.
Does it sound natural with low latency?
Why it matters. Awkward pauses and robotic turn-taking make callers hang up before the agent gets to the point.
Callaro. Phone-grade turn-taking, interruption handling and noise handling for natural, low-latency conversations on real lines.
Does it stay on-script and safe?
Why it matters. An agent that improvises off-policy is a compliance and brand risk you cannot audit after the fact.
Callaro. Guardrails with allowed and disallowed topics, deterministic fallbacks, and consent, opt-out and quiet-hour rules that keep the agent inside policy on every call and message.
Can it hand off to a human with full context?
Why it matters. A cold transfer forces the customer to repeat everything and undoes the trust the agent just built.
Callaro. Warm transfer on calls, and one inbox for every text channel: your team takes over with a summary, replies in the same thread and hands back to the AI.
Can you see and measure everything it does?
Why it matters. Without transcripts, sentiment and outcome data you can't tell what's working — or defend a call when it's questioned.
Callaro. Transcripts, recordings, sentiment, outcome tags, QA flags and a full action log for every call and conversation — observability built into the platform.
Does it fit your telephony and integrations?
Why it matters. An agent locked to one carrier or with no real API forces rip-and-replace instead of slotting into what you already run.
Callaro. Bring your own telephony and messaging accounts, and integrate over REST and Events APIs, signed webhooks, MCP servers and SDKs for web, iOS, Android, React Native and Flutter.
Does it know what's happening right now — mid-conversation?
Why it matters. A payment lands, a CRM stage changes, an order ships — and the agent on the call has no idea. Customers notice.
Callaro. Your systems post events and every open conversation — including a live call — knows within seconds. The agent can say "I can see your payment just came through" while the customer is still talking.
Can it live inside your own app, with your own UI?
Why it matters. A generic widget that doesn't match your product — or a bot that can't be embedded — keeps AI outside the experience you built.
Callaro. SDKs for web, iOS, Android, React Native and Flutter with rich chat and in-app calls, call invites that ring the app, and a headless API channel that sends structured replies you render in your own design.
Legacy IVR and generic bots vs. Callaro
The difference between an agent that takes a message and one that finishes the job.
Bring this checklist to your demo.
We'll run a real call against every point, live — no slideware.
Book a demo