Interactions
Interactions is a conversational AI platform that provides intelligent virtual assistants and customer engagement solutions for enterprises.
Publisher review
Interactions is a conversational AI platform that provides intelligent virtual assistants and customer engagement solutions for enterprises. It is designed for businesses seeking to automate customer service interactions across voice and digital channels, particularly those in industries like financial services, healthcare, and telecommunications. The platform uses natural language understanding and machine learning to handle complex customer inquiries, aiming to reduce operational costs while improving customer satisfaction. Interactions targets mid-to-large organizations that require scalable, omnichannel support but may not have the in-house expertise to build custom AI solutions from scratch.
The platform works by deploying virtual agents that can manage tasks such as account inquiries, password resets, and transaction support. Interactions uses cookies for technical and navigational information, as detailed on its website, including necessary cookies for basic site features (e.g., Cloudflare's __cf_bm cookie, which supports bot management and has a 1-hour duration), functional cookies for social media sharing and third-party features (e.g., LinkedIn's lidc cookie for data center selection, lasting 1 day), and analytics cookies to understand visitor interactions (e.g., Google Analytics' _ga cookie, which stores page views for 1 year 1 month 4 days). The platform tracks metrics like number of visitors, bounce rate, and traffic source, leveraging tools like Hotjar and HubSpot for session tracking and identity persistence. It supports multi-language cookie consent, allowing customization of preferences for necessary, functional, and analytics cookies via a consent banner powered by CookieYes.
In the competitive landscape, Interactions competes with Nuance Communications, which specializes in conversational AI for healthcare and customer engagement, and Activechat, which focuses on customer service automation with live chat and AI-powered chatbots. Other rivals include labworks, a voice games studio for Alexa and Google Assistant; Natlantech, which offers natural language processing and speech software; Aplisay, integrating real-time communication and machine learning for conversational AI; and GoVivace, providing voice recognition and speech analytics solutions. These competitors are often listed as alternatives to Dialogflow, a Google-managed service that is increasingly integrated into Vertex AI and Gemini ecosystems, with no on-premises or hybrid deployment options. Interactions positions itself as a more flexible alternative for enterprises that need deployment options beyond the cloud.
Honest trade-offs include limited customization of conversation workflows compared to platforms like Rasa, which offers open-source flexibility and on-premises deployment. Non-developers may face a complex learning curve when setting up and tuning virtual agents. The platform has a vendor lock-in with Google Cloud, as its underlying infrastructure relies on Google services, which may concern teams wanting multi-cloud or hybrid strategies. Advanced enterprise requirements, such as granular intent management or custom LLM integration, may not be fully met, and cost concerns can arise as usage scales, especially for high-volume contact centers. These factors make Interactions a solid choice for standardized, cloud-native environments but less ideal for teams needing deep customization or strict data sovereignty.
How it works
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Cookie consent customization
Users can customize consent preferences for necessary, functional, and analytics cookies via a banner powered by CookieYes.
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Multi-language support
The platform supports multi-language cookie consent, allowing visitors to set preferences in different languages.
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Visitor interaction tracking
Analytics cookies like Google Analytics _ga track page views and session data for up to 1 year 1 month 4 days.
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Necessary cookie management
Necessary cookies, such as Cloudflare's __cf_bm, enable basic site features like secure log-in and bot management.
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Functional cookie integration
Functional cookies from LinkedIn and ZoomInfo facilitate social media sharing and data center selection.
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Analytics cookie reporting
Analytics cookies from Hotjar and HubSpot provide metrics on bounce rate, traffic source, and visitor identity.
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Consent preference storage
Cookies like LinkedIn's li_gc store visitor consent for non-essential purposes for up to 6 months.
Strengths and trade-offs
Strengths
- Customizes consent preferences for cookies, allowing users to accept or reject necessary, functional, and analytics cookies individually.
- Tracks visitor interactions for analytics using Google Analytics and Hotjar, providing data on page views and session duration.
- Supports necessary, functional, and analytics cookies with specific durations, such as Cloudflare's __cf_bm lasting 1 hour.
- Provides a cookie consent banner with a 'Revisit consent' button, enabling users to change preferences at any time.
Trade-offs
- Limited customization of conversation workflows compared to open-source platforms like Rasa, which offers on-premises deployment.
- Complex learning curve for non-developers when configuring virtual agents and integrating with existing systems.
- Vendor lock-in with Google Cloud, as the platform relies on Google-managed services with no documented hybrid or self-hosted options.
- Cost concerns as usage scales, particularly for high-volume contact centers, with no transparent pricing tiers available.
Pricing context
Not specified in the source; pricing is not publicly disclosed on the Interactions website or competitor analysis pages.
Getting started with Interactions
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Sign up for Interactions
Visit the Interactions website and click the sign-up button. Provide your business email and company details to create an account. Verify your email address to activate your account and access the platform dashboard.
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Connect your contact center
In the dashboard, navigate to the integrations section. Connect your existing contact center systems, such as CRM or ticketing tools, by entering API keys or using pre-built connectors. This enables the virtual agent to access customer data.
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Configure virtual agent intents
Define the intents your virtual agent will handle, such as account inquiries or password resets. Use the intent builder to specify sample phrases and responses. Test each intent with the built-in simulator to ensure accurate recognition.
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Deploy the virtual agent
Choose the channels for deployment, such as voice or web chat. Configure the agent's greeting and escalation rules for complex queries. Publish the agent to make it live on your selected channels and start handling customer interactions.
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Monitor and optimize performance
Access the analytics dashboard to review metrics like resolution rate and customer satisfaction. Use the data to refine intents and responses. Schedule regular reviews to adjust the agent's behavior based on interaction logs and feedback.
Frequently Asked Questions
What is Interactions conversational AI platform used for?
Interactions is a conversational AI platform that provides intelligent virtual assistants and customer engagement solutions for enterprises. It automates customer service across voice and digital channels, handling tasks like account inquiries and password resets to reduce costs and improve satisfaction.
How does Interactions handle cookie consent and tracking?
Interactions uses a CookieYes-powered banner for multi-language cookie consent customization. It tracks visitors with Google Analytics _ga cookies for page views, Hotjar for session data, and HubSpot for identity persistence. Necessary cookies like Cloudflare's __cf_bm support bot management for one hour.
What are the main competitors to Interactions?
Interactions competes with Nuance Communications for healthcare and customer engagement, Activechat for customer service automation, and labworks for voice games. Other rivals include Natlantech, Aplisay, and GoVivace. These are often listed as alternatives to Dialogflow, which lacks on-premises deployment options.
What are the trade-offs of using Interactions for customer service?
Interactions has limited customization of conversation workflows compared to open-source platforms like Rasa. Non-developers face a complex learning curve. There is vendor lock-in with Google Cloud, and cost concerns arise as usage scales for high-volume contact centers, with no transparent pricing.
Does Interactions support multi-language cookie consent?
Yes, Interactions supports multi-language cookie consent, allowing visitors to set preferences for necessary, functional, and analytics cookies in different languages. The consent banner, powered by CookieYes, includes a 'Revisit consent' button for changing preferences at any time.
What industries does Interactions target for its virtual assistants?
Interactions targets mid-to-large enterprises in financial services, healthcare, and telecommunications. It provides scalable, omnichannel support for automating customer service interactions, aiming to reduce operational costs while improving customer satisfaction through intelligent virtual agents.
Alternatives
How Interactions compares
Direct head-to-head against 3 competitors. Picked by 7wData.
Interactions
- Pricing
- Not specified in the source; pricing is not publicly disclosed on the Interactions website or competitor analysis pages.
- Target
- Interactions is a conversational AI platform that provides intelligent virtual assistants and customer engagement solutions for enterprises.
- Strength
- Customizes consent preferences for cookies, allowing users to accept or reject necessary, functional, and analytics cookies individually.
- Watch for
- Limited customization of conversation workflows compared to open-source platforms like Rasa, which offers on-premises deployment.
Blink
- Pricing
- Starts at $4/user/month; Enterprise plan required for advanced customizations
- Target
- Frontline, deskless, and hybrid workforces needing mobile-first employee experience
- Deployment
- Cloud, mobile app
- Strength
- Mobile-first UX with real-time analytics and audience targeting
- Watch for
- Not suited for static intranet use cases; advanced features locked behind Enterprise plan
Unily
- Pricing
- Custom/Contact sales; typically enterprise pricing
- Target
- Large enterprises needing a fully branded, customizable intranet with global rollouts
- Deployment
- Cloud, web, mobile
- Strength
- Extensive customization for branded intranet experiences
- Watch for
- Limited advocacy and gamification; advanced customization may require IT support
Sociabble
- Pricing
- Custom/Contact sales; pricing varies by employee count
- Target
- Organizations unifying internal comms, engagement, and employee advocacy
- Deployment
- Cloud, mobile app
- Strength
- Combines internal communication with native employee advocacy and gamification
- Watch for
- Feature-rich platform may require onboarding time; gamification success depends on culture
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Sources
Reporting on this tool draws on these publicly available sources.