Is AmplifAI or aiOla better for AI meeting notes?

It depends on your workflow. AmplifAI is strong for automating quality assurance by transcribing and scoring customer service calls at scale, while aiOla is strong for field sales reps dictating post-meeting debriefs into crm. Both transcribe and summarize meetings.

How do AmplifAI and aiOla compare on price?

AmplifAI is custom pricing and aiOla is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.

Can I use both AmplifAI and aiOla?

Sure. Running both makes sense when their strengths don't overlap and the budget allows.

Home/AmplifAI vs aiOla

AmplifAI vs aiOla

AmplifAI: AmplifAI is an AI-powered contact center platform that transcribes and analyzes customer conversations across voice, chat, and messaging to automate quality assurance, coaching, and CX intelligence. aiOla: Voice AI platform for field teams that captures spoken post-meeting debriefs and pushes data into CRM. Below, they line up on price, capture method, and how each fits a real meeting stack.

How Hosiqo compares and tests tools

Final recommendation

Shortlist AmplifAI when automating quality assurance by transcribing and scoring customer service calls at scale matters most, and aiOla when outside sales teams keeping crm data complete after site visits matters most. Run both through a week of actual calls to see which suits your workflow.

AmplifAI

CustomAI Meeting Assistants

AmplifAI is an AI-powered contact center platform that transcribes and analyzes customer conversations across voice, chat, and messaging to automate quality assurance, coaching, and CX intelligence.

Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metricsAutomated QA scoring conversations across channels and triggering tailored coachingConversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals

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aiOla

Custom

About AmplifAI

AmplifAI is a contact center performance and customer-experience platform that unifies data across voice, chat, email, social, CRM, and workforce systems into a single source of truth. Its conversational intelligence layer captures call recordings and uses speech-to-text to transcribe conversations, then analyzes them for sentiment, intent, call reasons, themes, and behavioral signals. Rather than sampling a small percentage of interactions, its Automated QA evaluates conversations across channels and connects findings directly to coaching workflows. An "Ask Your Transcripts" feature provides a natural-language interface for querying call transcripts, QA scores, and CX metrics on demand, while real-time transcription, sentiment, and next-best-action guidance support agents during live interactions, including auto-summarized notes and dispositions. The platform is built for contact center teams—agents, team leaders, quality analysts, and CX leadership—across industries such as retail, financial services, healthcare, BPOs, and communications. It rounds out its offering with role-based performance dashboards, predictive NPS, root-cause analysis, gamification, and recognition tools to drive measurable performance improvements.

Best suited for

Automating quality assurance by transcribing and scoring customer service calls at scale
Surfacing customer sentiment, intent, and root-cause insights from conversation transcripts
Delivering data-driven, conversation-based coaching to agents and team leaders

About aiOla

aiOla is a voice AI platform built for field teams that lets reps and frontline workers capture data by speaking naturally and automatically push it into systems like Salesforce. For field and in-person sales, aiOla provides a personal voice agent that a rep can talk to after a meeting to record a post-meeting debrief, which the platform converts into structured CRM records without manual typing. Its speech technology is designed to understand industry jargon, accents, and dialects across many languages and to work in noisy real-world environments such as stores, sites, and vehicles. Beyond sales debriefs, aiOla supports field workflows including inspections, safety checks, and compliance audits, but for sales teams the core value is turning spoken meeting summaries into clean, complete CRM data. The platform targets field-based sales and operations teams across industries such as consumer goods, pharmaceuticals, airlines, and retail. aiOla is actively operating in 2025 and 2026, with named enterprise customers and public recognition demonstrating ongoing operation. Pricing varies by plan. Check the official website for current pricing.

Best suited for

Field sales reps dictating post-meeting debriefs into CRM
Outside sales teams keeping CRM data complete after site visits
Frontline operations capturing inspection and compliance data by voice

Feature	AmplifAI	aiOla
Core capability	Speech-to-text transcription of voice calls plus analysis of chat and messaging conversations	Voice agent for spoken post-meeting field sales debriefs
Standout feature	Conversational intelligence surfacing sentiment, intent, call reasons, and behavioral signals	Automatic conversion of speech into structured CRM records
Team usage	Ask Your Transcripts: natural-language Q&A across call transcripts, QA data, and CX metrics	Salesforce and workflow integration for field data
Integrations	Automated QA scoring conversations across channels and triggering tailored coaching	Speech recognition tuned for jargon, accents, and noisy environments
Languages & capture	Real-time transcription, sentiment, and next-best-action guidance with auto-summarized after-call notes	Prebuilt workflows for inspections, safety, and compliance
Best-fit workflow	Unified data integration across voice, chat, CRM, surveys, and workforce systems with role-based performance dashboards	Voice agent for spoken post-meeting field sales debriefs

AmplifAI vs aiOla

About AmplifAI

About aiOla

Pricing comparison

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FAQ

Is AmplifAI or aiOla better for AI meeting notes?

How do AmplifAI and aiOla compare on price?

Can I use both AmplifAI and aiOla?

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