Aircall Call Transcription and AI Features: What You Get (and What's Missing)

If you are on Aircall, you have probably noticed the AI features showing up in your dashboard. Transcription, summaries, topic detection -- Aircall has been adding intelligence features steadily over the past year. But figuring out what you actually get, what costs extra, and where the gaps are takes more digging than it should.

This is a practical breakdown of Aircall's call transcription and AI capabilities. We will cover what is included at each tier, where native features fall short, and when it makes sense to add a dedicated analytics layer on top.

What Aircall's Built-In AI Actually Does

Aircall offers AI features through two paid add-ons on top of your base VoIP subscription. Neither is included in the standard plan.

AI Assist -- $9 per user per month gives you the basics:

• Call transcription -- every recorded call gets a full text transcript, searchable within Aircall
• Call summaries -- AI-generated summaries after each call, covering key points and topics discussed
• Topic detection -- the AI identifies and categorizes the main subjects from each conversation

For most teams, this is the entry point. The summaries alone save reps several minutes of after-call note-taking per conversation. Across a 10-person team making 30 calls each per day, that adds up fast.

AI Assist Pro -- $49 per user per month adds the advanced layer:

• Sentiment analysis -- tracks emotional tone throughout the call (positive, negative, neutral shifts)
• Real-time coaching -- live prompts displayed to reps during active calls
• Automated call scoring -- AI grades calls based on configurable criteria
• Action item extraction -- identifies follow-up tasks mentioned during the conversation
• Trend analysis -- patterns across calls over time

AI Assist Pro is where Aircall starts competing with standalone conversation intelligence tools. But the per-user pricing changes the math significantly for larger teams. For a deeper look at Aircall's AI add-ons, see our Aircall AI Assist review.

How Aircall Transcription Works

Aircall's transcription engine processes recordings automatically after each call ends. Here is what to expect in practice.

Accuracy sits in the 85-95% range depending on audio quality, accents, and background noise. Clear calls on a quiet line transcribe well. Calls with heavy accents, crosstalk, or poor VoIP connections will have more errors. This is consistent with most AI transcription services -- not perfect, but good enough for searchability and review.

Language support covers English as the primary language with reasonable accuracy. Other languages are supported but accuracy drops noticeably outside English, French, and Spanish. If your team regularly makes calls in languages beyond those three, verify transcription quality before committing.

Where transcripts live -- transcripts are accessible within the Aircall interface alongside the call recording. You can search across transcripts to find specific conversations. However, there is no way to export transcripts in bulk or pipe them into external analytics tools through the standard UI.

Limitations worth knowing:

• No custom vocabulary -- industry-specific terms, product names, and jargon are not learnable
• Transcripts are tied to Aircall's interface -- limited export and integration options
• Speaker diarization (identifying who said what) is basic compared to dedicated transcription tools
• No retroactive processing -- calls recorded before enabling AI Assist do not get transcribed

What's Missing From Aircall's Native AI

Aircall's AI features cover the fundamentals well. But if you manage a sales team, there are specific capabilities you will eventually need that are not available natively -- regardless of which AI Assist tier you are on.

No custom tag detection. You cannot define your own tags in plain English and have the AI detect them automatically. Want to know every time a competitor is mentioned, or when a rep discusses pricing without following the approved script? Aircall does not offer this. You are limited to its predefined topic categories.

No compliance checking. For teams in regulated industries -- insurance, financial services, debt collection -- there is no way to automatically verify that required disclosures were made on every call. Manual review is the only option.

No call scoring you control. AI Assist Pro offers automated scoring, but the criteria are preset. You cannot build a scoring model that reflects your specific sales methodology, industry requirements, or team standards.

No talk-to-listen ratio tracking. One of the most reliable indicators of call quality -- how much your rep talks versus listens -- is not surfaced in Aircall's analytics. Sales managers who coach based on this metric need a separate tool.

No rep-versus-rep comparison. There is no way to compare how different reps handle the same type of call. Who converts discovery calls best? Who loses deals at the pricing stage? These questions require analytics Aircall does not provide.

No objection tracking. Knowing which objections come up most frequently -- and how top performers handle them -- is foundational to sales coaching. Aircall's topic detection is too broad to isolate specific objections.

No custom analysis prompts. You cannot ask the AI specific questions about your calls. Tools that support custom analysis let you define exactly what you want extracted -- "Did the rep confirm the prospect's budget?" or "Was a follow-up meeting scheduled?" -- on every call automatically.

For a full comparison of what Aircall's native analytics cover versus what AI tools add, see our Aircall analytics: native vs AI breakdown.

When Native AI Is Enough

Not every team needs more than what Aircall provides. Be honest about your use case before adding another tool to your stack.

Aircall's native AI is likely sufficient if:

• You are a solo user or a two-person team with light call volume
• Your main need is call summaries to reduce after-call admin work
• You want searchable transcripts but do not need structured analytics
• You are not in a regulated industry with compliance requirements
• You do not manage reps and do not need coaching or comparison data
• Your budget allows $9-49 per user per month on top of your Aircall subscription

For these use cases, AI Assist at $9 per user delivers genuine value. The summaries and transcripts alone justify the cost for most teams. There is no reason to overcomplicate your stack if the basics cover your needs.

When You Need a Dedicated Analytics Layer

The calculus changes when you move from "I want transcripts" to "I need to understand what is happening across my team's calls." That shift typically happens when:

You manage three or more reps. Once you cannot personally listen to a meaningful sample of every rep's calls, you need automated analysis that surfaces patterns, flags issues, and highlights coaching opportunities. Aircall's summaries help you review individual calls faster, but they do not aggregate insights across your team.

You need coaching data. Improving rep performance requires knowing which behaviors correlate with positive outcomes. Talk-to-listen ratios, objection handling patterns, and stage-specific win rates are the foundation of data-driven coaching. Read our guide on how to improve sales calls for specific techniques.

You have compliance requirements. If your industry requires specific disclosures, consent language, or procedural statements on every call, manual review is a liability. Automated compliance checking catches gaps that human review misses -- especially at scale.

You want custom analysis. Every sales team has unique questions about their calls. Off-the-shelf AI categories do not cover "Did the rep mention our Q2 promotion?" or "Was the prospect already working with a competitor?" Custom analysis prompts let you extract exactly what matters to your business.

The per-user cost is becoming a problem. Aircall AI Assist Pro at $49 per user per month means a 10-person team pays $490 per month just for the AI add-on -- on top of their base Aircall subscription. That is a significant line item for a small team. Dedicated tools with team-based pricing often deliver more features for less. Use our ROI calculator to estimate the difference.

Aircall Native AI vs Coldread: Side by Side

Here is a direct comparison for teams evaluating whether to stick with Aircall's built-in features or add Coldread as a dedicated analytics layer.

The pricing difference is the headline. AI Assist Pro for a 10-person team costs $490 per month. Coldread's Team plan covers the same 10 users for $79 per month -- with custom tags, compliance checking, and rep comparison included. Even Coldread's Business plan at $199 per month for 25 users costs less than AI Assist Pro for five users.

The trade-off is real-time coaching. Aircall AI Assist Pro can display prompts to reps during live calls. Coldread analyzes calls after they end. If live coaching is your top priority and budget is not a constraint, AI Assist Pro has an edge there.

For teams that need depth of analysis, custom configuration, and team-wide insights at a reasonable price, the dedicated analytics layer wins. For more context on how Coldread compares to enterprise tools, see our Coldread vs Gong comparison.

How to Set Up Coldread With Aircall

If you decide to add Coldread, the setup takes about five minutes. Your reps do not need to change anything about how they use Aircall.

1. Create a Coldread account at coldread.ai -- no credit card required for the trial
2. Connect Aircall through the integrations page -- you will authorize Coldread to access your Aircall call data and recordings
3. Configure your analysis -- set up custom tags, compliance rules, and any specific analysis prompts for your team
4. Calls flow automatically -- every new Aircall call is transcribed and analyzed by Coldread within minutes

For a detailed walkthrough with screenshots, see our Aircall setup guide.

Coldread runs alongside Aircall. It does not replace your phone system or change how reps make calls. Your team continues using Aircall for calling. Coldread handles the analysis layer -- transcription, custom tags, scoring, compliance, and team-wide insights.

This works particularly well for teams in recruitment, insurance, and real estate where industry-specific analysis is essential.

Key Takeaways

Aircall's AI features have improved significantly. AI Assist at $9 per user is a solid value for transcription and summaries. AI Assist Pro at $49 per user adds sentiment analysis and real-time coaching, but the per-user cost adds up quickly for teams.

The gap shows up when you need custom analysis, compliance automation, rep comparison, or team-wide coaching data. These capabilities require a dedicated sales call analytics layer -- and the pricing model matters as much as the feature set.

If you are an Aircall user exploring what is possible beyond native AI, start with what you need most. For many teams, that is custom tag detection and compliance checking -- the two features with the clearest ROI that Aircall does not offer natively.

Coldread connects to Aircall in minutes and covers up to 10 users for $79 per month. No per-seat fees. No enterprise sales process. Just deeper insight into the calls your team is already making.

Related reading:

• Aircall Analytics: Native vs AI-Powered
• Aircall AI Assist Review
• Best Call Intelligence for Aircall
• Sales Call Analytics Guide
• Conversation Intelligence Buyer's Guide
• Coldread vs Gong