Daisee is an Australian founded AI conversation intelligence platform built on AWS. It analyses 100% of customer interactions to automate quality assurance, strengthen compliance, improve customer experience and provide traceable evidence - helping contact centres identify risk, accelerate coaching and act on insights faster.
AI-powered conversation intelligence and regulatory evidence for contact centres daisee is an Australian AI conversation intelligence platform, built on AWS and trusted by contact centre teams globally. It analyses 100% of customer conversations across voice and supported digital channels, providing automated quality assurance, compliance monitoring, sentiment analysis, topic detection and flexible digital scorecards.
By transcribing, analysing and scoring every interaction, daisee helps organisations move beyond limited manual sampling. Teams can identify high-risk conversations, accelerate coaching and remediation, and uncover trends across customer experience, operational performance and regulatory risk. Every finding remains connected to the underlying interaction, providing clear, traceable evidence for review.
Pre-trained models support specialised use cases including fraud detection, complaints, sales and retention, and delayed recovery or return-to-work risk in workers compensation. daisee is widely used across insurance, financial services, debt collection and claims management.
Built on AWS for secure, scalable deployment, daisee can be implemented in weeks rather than months through a straightforward SaaS model.
See how daisee can turn your customer conversations into actionable insight and defensible evidence. Contact us to arrange a tailored demonstration.
<www.daisee.com>
Highlights
AI conversation intelligence at scale: Analyse 100% of contact centre interactions to automate quality assurance, compliance monitoring, sentiment analysis and topic detection.
Faster action with traceable evidence: Surface high-risk conversations, performance trends and regulatory evidence for targeted coaching, review and remediation.
Built on AWS and ready to deploy: Secure, scalable SaaS with pre-trained models that can be implemented in weeks, not months.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing offers one pricing dimension: an annual prepaid contract billed by the number of users. You commit to a 12-month term and pay upfront based on how many users you need. Pricing scales with your user count, so adding more users increases the total contract value. There are no separate tiers or usage-based add-ons in this listing — you select the user quantity that fits your team. Final scope aligns to your coverage and configuration needs.
Top-of-mind questions for buyers
What counts as one user for billing on this contract?
A user is one agent whose customer interactions the platform analyses. You count the agents you want covered, and the contract prices per that number. Pricing scales with the user count you select, so more agents raise the total contract value.
Are there extra usage charges beyond the per-user contract?
The listing bills only on the annual prepaid contract by user count. It has no separate usage-based charges or add-on tiers. The seller notes that final scope depends on interaction volume, coverage, and configuration, so confirm those details with the vendor before you commit.
What is included for each user under this contract?
Each user gets access to automated quality assurance and analytics from one shared intelligence layer. This covers transcription, playback, configurable scorecards, compliance and risk detection, sentiment and behaviour signals, and dashboard reporting across customer interactions.
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