Teneo AI Pricing Breakdown: Hidden Costs, Features & Comparison

When evaluating conversational AI and contact center platforms, pricing transparency is just as important as the platform's capabilities. Companies want to know exactly what they’ll pay without hidden AI usage fees, surprise overages, or the uncertainty of “custom quote only” models.

Teneo (formerly Artificial Solutions) presents itself as an enterprise-grade, high-control platform designed for large-scale voice and chat automation. It offers depth and flexibility, but its pricing is often tied to custom negotiations that can make cost planning difficult. On the other hand, pagergpt provides a predictable, session-based model where costs are clear and scalable, giving both SMBs and enterprises confidence in budgeting and adoption.

The real question is: how transparent is Teneo’s pricing, and what does it mean for businesses choosing between control, cost predictability, and time-to-value?

Teneo AI, formerly known as Artificial Solutions, is an enterprise conversational AI platform designed for large-scale voice and chat automation. Positioned as an agentic AI orchestration layer, it allows organizations to build intelligent agents that don’t just respond, but also reason, act, and integrate with existing contact center and enterprise systems.

Its core strengths lie in conversational IVR, customer support automation, multilingual bots, and complex contact center orchestration, making it well-suited for global enterprises that manage high volumes of interactions across channels. By combining large language models with orchestration and governance features, Teneo appeals to enterprises and contact centers seeking both flexibility and control.

Unlike some AI platforms that publish clear tiered plans, Teneo follows a custom enterprise pricing model. This means there’s no fixed set of packages listed on its website. Instead, businesses engage directly with the sales team to get a tailored quote based on usage, integrations, and support needs.

That said, there are a few things we do know about how Teneo’s pricing works—and several areas where hidden costs can surface.

Publicly available details

• Sandbox and trials: Developers can request trial or sandbox access through the Teneo Developers portal to experiment with the platform.

• Marketplace listings: On platforms like Azure Marketplace, Teneo offers modules for voice, chat, Copilot, and other AI features.

• Starting price claims: Some software directories list Teneo pricing as low as $0.01, but these figures aren’t representative of real enterprise deployments.

• Enterprise contracts: In practice, most organizations sign custom agreements with pricing that varies by scale, features, and contract terms.

The real cost drivers 

The main elements that shape Teneo’s pricing include:

• Per-interaction fees: Teneo promotes interaction costs “under $0.40 per call or chat,” though actual rates depend on scale and contract.

• Usage volume: High concurrency and millions of interactions per month typically require larger packages.

• Feature add-ons: Advanced capabilities like generative AI orchestration, Copilot, or multilingual automation usually add extra cost.

• Support and onboarding: SLA-backed support, enterprise onboarding, and integration work are often priced as services.

• Compliance and security: Features like SOC 2, ISO 27001, confidential compute, and data governance come with enterprise-level pricing.

• Professional services: Continuous AI tuning, optimization, and training are available but often charged separately.

Hidden costs to watch out for

Beyond the visible drivers, buyers should carefully clarify potential hidden costs:

• How interactions are defined: Is pricing per message, per minute of a call, or per completed session?

• Free usage buffer: Does any entry-level contract include baseline usage before costs kick in?

• Included vs. add-on features: Analytics, model switching, or advanced orchestration may require extra licensing.

• Contract terms: Multi-year commitments, minimum spends, and penalties for early exits can add financial pressure.

• Overage charges: Spikes in usage or seasonal demand may trigger burst pricing at higher-than-expected rates.

Since Teneo does not publicly list structured pricing tiers, its feature set can be broadly divided into core features that are typically included in all deployments and advanced enterprise features that are available through custom contracts or higher-level packages.

Core features 

These are the foundational capabilities most Teneo customers can expect:

• Agentic AI orchestration – Create AI agents that can reason, act, and integrate with enterprise systems.

• Voice and IVR automation – Enable conversational IVR for call deflection and routing.

• Multilingual support – Native coverage for 100+ languages.

• Low-code agent builder – Visual tools to design conversation flows without heavy coding.

• Basic analytics and reporting – Track interactions, intent coverage, and performance trends.

• Standard security – Encryption, role-based access, and PII masking.

Advanced enterprise features

Higher-level contracts often unlock additional capabilities, including:

• Generative AI orchestration – Use multiple LLMs with fallback logic, guardrails, and governance.

• Advanced analytics and dashboards – Conversation traceability, customer sentiment, and optimization insights.

• Contact center integrations – Out-of-the-box connectors for CCaaS, CRMs, and ticketing systems.

• Enterprise compliance and governance – ISO 27001, SOC 2, audit logs, confidential compute, and SLA-backed service.

• Scalability and redundancy – High concurrency support, multi-region deployments, and global resilience.

• Premium support and onboarding – SLA-backed assistance, dedicated success managers, and custom training.

Sendbird offers one of the most robust messaging infrastructures on the market; however, when it comes to AI-driven customer support, the pricing model introduces significant trade-offs. Here’s how it stacks up:

Pros

• Scalable infrastructure: Sendbird provides a strong API and SDK foundation for building AI agents, capable of handling high volumes of conversations reliably.

• Enterprise-grade compliance: At the higher tiers, Sendbird supports HIPAA and SOC 2 — essential for industries like healthcare and finance that want to deploy AI agents responsibly.

• Reliable backbone for automation Its real-time messaging and notification system make it a solid base layer for automated support flows.

Cons

• Unpredictable costs from AI usage: Every AI-driven conversation increases MAU counts. For support teams with high chat volumes, this can make monthly bills spike unpredictably.

• Critical features locked to enterprise tiers: Analytics dashboards, advanced moderation, and compliance certifications are only available in top-tier plans, creating a steep cost barrier for smaller teams.

• Developer-heavy integration: Sendbird provides the pipes, not the automation. Businesses must invest in engineering resources to integrate AI/NLP engines, adding internal costs on top of subscriptions.

Where Teneo AI leans on custom enterprise contracts and usage-based pricing, pagergpt takes a very different approach—one that emphasizes clarity, predictability, and faster adoption.

With pagergpt, businesses know upfront what they’ll pay. Instead of billing per AI token or per interaction minute, the platform uses a session-based model: every session represents a complete customer conversation, making costs far easier to forecast.

• Free Magic Plan – Includes 100+ sessions each month, live chat inbox, and branding removed—ideal for startups testing AI support.

• Business Plan ($349/month) – Scales to 1,000 sessions with advanced analytics, integrations (Zendesk, Freshdesk, Slack, Teams, WhatsApp, etc.), and performance dashboards.

• Enterprise Plan (custom) – Adds RBAC, compliance (ISO 27001, SOC 2, GDPR, HIPAA), premium support, and tailored SLAs.

The difference is not just in structure but also in predictability. While Teneo buyers may face hidden costs from per-interaction billing, module add-ons, or overages, pagergpt offers fixed, transparent tiers that scale with usage. For SMBs and mid-market teams, this typically translates to 30–40% lower costs compared to platforms like Teneo that rely on custom quotes and consumption-based fees.

In short, if your organization values budget certainty and faster time-to-value, pagergpt provides a pricing model that’s easier to plan around—without compromising on enterprise-ready features.

Both pagergpt and Teneo are built to help enterprises automate customer and contact center interactions, but the way they deliver value differs significantly. Here’s how they compare across the areas that matter most.

Training and knowledge ingestion

Teneo relies on natural language understanding (NLU) and orchestration to integrate knowledge from enterprise systems and connectors. This works well for organizations with large, structured knowledge bases but often requires more setup and IT support. pagergpt, on the other hand, makes training much easier with multi-source ingestion—it can learn directly from websites, documents, and platforms like Zendesk, Freshdesk, SharePoint, and Confluence. Its use of retrieval-augmented generation (RAG) ensures that responses are grounded in real knowledge sources without extra configuration.

Workflow automation

Teneo’s strength lies in complex orchestration, especially for voice, IVR, and contact center workflows. It excels when deep customization is required, but it often means depending on developers and IT teams. pagergpt simplifies automation with a no-code actions builder. Support teams can connect the AI to tools like Slack, Teams, or ticketing systems and automate repetitive tasks without needing technical expertise, reducing time-to-value.

Analytics and insights

With Teneo, customers get dashboards, intent reporting, and interaction logs as standard, with more advanced analytics available in enterprise contracts. pagergpt takes analytics a step further by including AI-powered dashboards in its standard plans. Teams can measure conversation performance, track CSAT scores, and even run sentiment analysis, making it easier to improve support quality in real time.

Security and compliance

Both platforms take enterprise security seriously. Teneo includes compliance with standards such as ISO 27001 and SOC 2, making it suitable for regulated industries. pagergpt matches those certifications but also layers in additional enterprise features like GDPR and HIPAA readiness, RBAC, MFA, and audit logging. For businesses where data privacy and access control are non-negotiable, pagergpt delivers enterprise-grade safeguards without requiring a premium package.

Omnichannel support

Teneo has deep expertise in voice and IVR automation, making it a natural fit for contact centers handling high call volumes. It also supports digital channels, but voice remains its strongest differentiator. pagergpt offers a broader omnichannel approach. Beyond chat and voice, it integrates directly with Slack, Microsoft Teams, WhatsApp, Messenger, Zendesk, Freshdesk, and more, all unified through a shared live inbox. This makes it especially effective for organizations managing customer conversations across multiple platforms.

Teneo is well-suited for enterprises with heavy voice and contact center demands that need complex orchestration. pagergpt shines for businesses that want predictable pricing, faster deployment, and wide omnichannel coverage, making it a stronger fit for SMBs, startups, and ROI-driven enterprises.

Teneo positions itself as an enterprise powerhouse, with advanced orchestration, voice automation, and multilingual support for global contact centers. But its pricing comes with a trade-off: opaque contracts, hidden costs, and a longer path to deployment. For organizations with large IT teams and complex workflows, this may still be the right fit.

pagergpt takes a different approach. By offering transparent, session-based pricing and enterprise-grade features out of the box, it delivers a platform that is faster to implement, easier to budget, and designed to scale. From RAG-powered knowledge ingestion to no-code automation and omnichannel support, pagergpt balances simplicity with depth, giving teams everything they need without surprise costs.

👉 Ready to experience AI agents without the guesswork? Book a demo with pagergpt today and see how predictable pricing and powerful automation can transform your customer support.