Ipiphany AI Security, Privacy & Legal FAQs

Question 1

What pricing plans are available and how do I choose?

Accepted Answer

Pricing is tiered by capability and usage, so you can start small and scale as your VoC program grows. Choose the plan that matches your data volume, stakeholder needs, and whether you need advanced analytics and reporting.

Question 2

How do you handle security, privacy, and compliance?

Accepted Answer

We use enterprise-grade controls and align with security best practices, including ISO 27001 where applicable to your environment and agreements. You can provide procurement with clear documentation on access controls, data handling, retention, and audit support.

Question 3

What does implementation look like, and who needs to be involved?

Accepted Answer

Implementation is lightweight. You need a CX owner, a data contact, and an internal stakeholder group for actioning insights. We align goals, connect data, agree taxonomy, then set a regular cadence to review insights and assign actions.

Question 4

How quickly can we get value?

Accepted Answer

Most teams can start seeing useful themes and insights within days, then improve precision over the first few weeks. Week 1 focuses on data ingestion and baseline themes. Weeks 2 to 4 focuses on refining taxonomy, dashboards, and action workflows.

Question 5

How accurate is the AI and how do you control quality?

Accepted Answer

Accuracy comes from good taxonomy design, QA workflows, and continuous refinement using your domain language. You can review theme labels, merge or split categories, and validate examples so outputs stay trustworthy for exec reporting.

Question 6

Can you identify root causes, not just sentiment?

Accepted Answer

Yes. We surface themes and root causes, not just positive or negative sentiment. You can see which issues are driving detractors, what is breaking key journeys, and what teams should own each fix.

Question 7

How is this different from dashboards in survey tools?

Accepted Answer

Survey dashboards show scores and basic charts. Ipiphany AI explains the 'why' in the text, at scale, and connects it to action. Instead of reading thousands of comments manually, you get consistent themes, evidence, and a prioritised list of what to fix first.

Question 8

What data sources can you analyse?

Accepted Answer

We analyse feedback from surveys, reviews, complaints, support tickets, and other text-based customer comments. You can combine multiple sources into one view, compare themes by product, region, or segment, and track change over time.

Question 9

What does Ipiphany AI do?

Accepted Answer

Ipiphany AI turns customer feedback text into clear themes, sentiment, and root causes so you can prioritise improvements and prove impact. You upload or connect feedback sources, the platform clusters comments into themes, flags what is driving NPS and complaints, and gives evidence you can share with stakeholders.

Question 10

Can Ipiphany be tailored to our business?

Accepted Answer

Yes. Ipiphany can be configured to match your CX workflows, data sources and goals. We can align models, filters and outputs to your use cases, so your teams get clear answers without extra complexity.

Question 11

How does Ipiphany connect with our existing tools and data?

Accepted Answer

Ipiphany connects through APIs, secure data connectors and simple upload options. You can bring in feedback, reviews, complaints, surveys, chat logs or tickets from your current systems and use AI Search and Overview without changing your tech stack. The setup is designed to be fast, secure and stable.

Question 12

What is the typical timeline for implementation?

Accepted Answer

Most teams can start using core Ipiphany features in an hour with an initial data load and standard setup. More advanced use such as automated data pipelines or tailored models can take a few weeks, depending on your environment. Our team guides you from first dataset through to full rollout so you see value early and keep risk low.