The best AI agents for sales contact centers in 2027

Every minute a skilled rep spends on a routine request, like an order status or a simple plan change, is time taken from a complex sale or a customer who's about to cancel.

AI agents for sales contact centers can help by taking on those routine calls and guiding reps on the rest. 

But not all AI agents for sales are built equal. Some are strongest at autonomous voice and chat conversations, while others focus on live guidance and quality checks for human sellers.

To help you pick the best AI agent for your sales contact center, we'll evaluate the top options and walk through how to evaluate each. 

Note: This article was written on 11/09/2026. The information below can change in the future.

Overview on AI agents for sales contact centers

AI agents for sales contact centers can hold and complete sales conversations with customers over voice and chat. They link to your customer relationship management (CRM) and billing systems to qualify buyers, quote prices, take orders, and hand off to reps.

Contact center sales teams use them for inbound sales, upsells during service calls, retention, and proactive outreach.

These AI agents typically use:

• Plain-speech understanding: they follow what customers mean, even when buyers change topics or raise objections
• System actions: they connect to CRM, billing, and order systems to quote prices, take orders, and update accounts
• Lead qualification: they ask qualifying questions and route ready buyers to the right rep
• Voice and digital coverage: an AI voice agent works on phone calls, while chat agents work in web chat and messaging
• Handoff with context: they pass the summary, the customer's needs, and any offer discussed to a human rep
• Real-time assist for reps: they can guide human sellers live with next-best offers and objection handling tips
• Compliance safeguards: they read required disclosures, stick to approved offers, and honor opt-out requests

How we evaluated the best AI agents for sales contact centers

We built this list from G2 reviews, public product documentation, and our own conversations with customers and prospects. 

We used these criteria:

• Sales use case coverage: which sales use cases the vendor explicitly names on its site, such as inbound sales, upsell, retention, lead qualification, and outbound calling
• CRM and system integrations: the ability to take action in CRM, billing, order management, and contact center systems
• Voice and digital coverage: support for phone calls as well as chat and messaging channels
• Rep augmentation: real-time guidance and coaching for human sellers during live conversations
• Human handoff: clean transfers to a live agent that carry over the full conversation context
• Guardrails and testing: runtime controls, simulated testing before launch, and live oversight
• QA and analytics: quality checks and outcome tracking across both AI and human conversations

Here's how the vendors compare across those criteria.

Top AI agents for sales contact centers

Let’s take a closer look at each solution.

1. Cresta

Cresta is the AI operating system for CX. Its AI Agent automates outbound, discovery, and qualification, while Agentic Assist guides sellers live.

Cresta also offers Conversation Intelligence to find the seller behaviors behind conversion and upsell so that managers can coach to proven behaviors instead of gut feel, and the same patterns can be built into AI agents and real-time guidance.

Key AI agent features

• System actions: connects to CRM, billing, and scheduling systems through secure function calling and Model Context Protocol (MCP) support
• Synthetic Customer testing: tests AI agents against simulated customers built from your own conversations, with saved regression sets you can rerun after every change
• Layered guardrails: combines system-level guardrails, supervisory models, and real-time monitoring
• Deputy Agent: takes on operational follow-through behind sales and retention calls, such as refunds, disputes, and back-office tasks

What reviewers say

G2 reviewers praise Cresta's real-time coaching and the ability to review call transcripts.

See how Cresta works on your sales calls

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2. Observe.AI

Observe.AI runs VoiceAI and ChatAI agents, a real-time Companion Agent for human reps, and automated QA. Its revenue offering targets net-new, upsell, and cross-sell business, with QA as its core strength.

Key AI agent features

• Upsell offers and qualification: automates personalized upsell offers and prospect qualification
• Companion Agent: gives reps smart scripts, guidance, upsell and cross-sell reminders, and sentiment prompts
• ChatAI Agents: drive quality leads, resolve customer issues, and transfer conversations on any channel
• Hard gates for critical steps: structured tasks with guardrails, LLM scoring, drift and hallucination checks, and audit trails
• QA on every interaction: evaluates AI and human conversations, with objection handling and conversion insights
• Multilingual VoiceAI agents: work in many languages and hand off to human agents inside CCaaS platforms

What reviewers say

G2 reviewers praise Observe.AI's ease of use and the coaching and QA insights it produces.

But some reviewers (including the same reviewer from above) say transcription accuracy is inconsistent in complex conversations.

Related: The top Observe.AI alternatives

3. Kore.ai

Kore.ai is a platform for building voice and digital AI agents, with agent assist and quality management for contact centers. Most sales flows have to be built by your team.

Key AI agent features

• Agent Assist playbooks: gives reps guided playbooks, real-time coaching, next-best actions, and sentiment analysis
• Auto QA with churn signals: scores every call and flags churn signals and revenue decisions
• Engine-level compliance: enforces compliance rules outside the LLM and traces every agent action
• Agent Evals: tests quality, safety, and accuracy across scenarios, personas, and edge cases before and after launch
• Agent Blueprint Language: defines agent behavior, tools, guardrails, orchestration, and handoff logic
• Agentic product discovery: a retail solution that brings AI agents into the shopping journey

What reviewers say

G2 reviewers praise Kore.ai's user-friendly interface and low-code tools for building agents.

That said, a learning curve for advanced features comes up often.

Related: The top Kore.ai alternatives

4. Cognigy.AI

Cognigy.AI, from NiCE, is an enterprise AI agent platform for voice, chat, and messaging, with an Agent Copilot for human agents. Its agents can complete transactions in backend systems, such as bookings. 

It also runs natively inside NiCE CXone and works with other CCaaS platforms.

Key AI agent features

• Voice, chat, and messaging agents: AI agents across voice, web chat, WhatsApp, and SMS, plus a copilot for human agents
• Backend transactions: autonomous actions that execute transactions, such as holding and confirming a seat
• Proactive outbound voice: voice agents built to place proactive calls
• Runtime guardrails: policy, PII, and topic controls enforced at runtime, mixing LLM reasoning with deterministic rules
• Simulator: stress-tests agents on synthetic conversations to check they stay within compliance and safety boundaries
• Broad language and CCaaS support: many languages, with builds for Amazon Connect, Avaya, and Genesys and native CXone support

What reviewers say

G2 reviewers love Cognigy.AI's ease of use and its flexibility for non-technical builders.

But some reviewers also note a lack of advanced analytics.

Related: The top Cognigy alternatives

5. Balto

Balto is a contact center AI platform best known for real-time guidance on sales and compliance calls, including prompts, rebuttals, and checklists. 

It also offers automated QA, coaching, and notes, plus a newer voice AI agent called Togo for repeatable service tasks like scheduling and order status. It's less suited to teams that want autonomous sales agents.

Key AI agent features

• Live objection handling: real-time guidance that helps reps handle objections while the conversation is live
• RTG3 agent workspace: combines knowledge, real-time search, customer history, and supervisor communication in one view
• QA scorecards by channel: applies scorecards to every interaction, channel by channel
• Togo voice agent: trained on top performers' calls, held to the same QA and compliance standards, and hands off with full context
• Contact center integrations: connects to NICE, Genesys, RingCentral, Five9, Convoso, and Salesforce

What reviewers say

G2 reviewers praise Balto's ease of use and real-time coaching.

Some reviewers say the guidance can feel scripted or repetitive.

Related: The top Balto alternatives

How to evaluate AI agents for sales contact centers

Once you've narrowed down your shortlist of the best AI agents for sales contact centers, evaluate each vendor on the criteria below.

Sales compliance and consent

Sales calls often carry more legal risk than service calls. 

For example, in the US, the FCC has confirmed that AI-generated voices on outbound calls fall under the Telephone Consumer Protection Act (TCPA). That means outbound sales calls still need prior express written consent, along with caller identification and opt-out handling. And the FTC’s Telemarketing Sales Rule adds more requirements, since it covers upsells even on inbound calls the customer started.

To that end, look for a solution that builds these rules into every conversation:

• Required disclosures: the agent identifies itself and the business, and reads required terms as written
• Approved offers only: the agent can't invent discounts, prices, or promises outside approved rules
• Consent and opt-out records: outbound calls go only to customers with valid consent, and opt-out requests are honored right away

Integrations with CRM, CCaaS, and order systems

Without the right connections, the AI agent can’t provide accurate, personalized information let alone perform actions like placing orders.

To that end, look for a solution that supports the following types of integrations:

• CRM: The agent sees customer history, open opportunities, and account details before it speaks, so it can personalize the pitch and avoid pitching something the customer already owns. It also writes outcomes, notes, and next steps back, so reps don’t have to piece together what happened
• Contact center as a service (CCaaS) platform: This is the software that routes calls and chats. The integration lets the agent work inside live voice and digital queues, and it lets a conversation transfer to a human seller with full context when needed
• Billing and order systems: These let the agent finish the sale instead of just starting it. It can check pricing and eligibility, place orders, change plans, and apply upgrades during the conversation, rather than creating a task for someone else to complete later

Clean handoffs

A clumsy transfer can lose a sale that was almost closed, while a warm handoff means the rep joins the conversation already knowing what has happened. 

Look for a solution that supports a good AI-to-human handoff. This includes the rep receiving a summary, the customer’s needs, and any objections before saying hello. The customer shouldn’t have to repeat a single detail.

Rep augmentation

High-value moments like cancellations and complex purchases still need a human. Real-time agent assist can help by offering reps suggested offers and objection responses as the conversation unfolds. 

Look for real-time guidance that coaches reps during live calls, such as which offer to make or how to answer an objection, based on what’s worked in past successful conversations.

Simulated testing

Guardrails can stop an AI agent from saying or doing things it shouldn’t, such as making unapproved promises or skipping required disclosures. 

The only reliable way to know they hold is to test them before customers do. A few manual test calls can’t cover the range of things real customers say, and a small change to a prompt, workflow, or integration can quietly break something that worked before.

The best approach is to use a solution that can run many simulated conversations built from your real interactions, including edge cases and hostile ones, such as customers who interrupt, push back, or try to get the agent to break its rules. The solution should also let you run each scenario multiple times, since agents can respond differently each run, and score results against your guardrails and compliance rules. 

All this to say, look for a solution that builds simulated customers from your own conversations, runs many at once across voice and digital channels, and scores results automatically. 

Quality management on every conversation

Most contact centers review only a small sample of calls, so most risks and missed opportunities go unseen. 

Strong platforms score every conversation, AI and human, against the same QA rules. That gives you one consistent view of quality and shows whether your AI agents meet the same standards as your reps. Scoring should cover the basics, such as required disclosures and accurate information, as well as sales behaviors like discovering needs, handling objections, and making the right offer at the right time.

The platform should also track outcomes such as conversion, offer acceptance, and saved accounts, and tie each one to the behaviors that drove it. That turns QA from a compliance exercise into a way to learn what wins deals, so you can coach reps and improve AI agents based on what works.

Final thoughts

The right AI agent depends on how your contact center sells. 

Cresta fits enterprise teams that want AI agents, Agentic Assist, and QA on every conversation in one platform. Observe.AI suits voice-heavy teams that lead with QA, and Kore.ai suits teams with builders ready to create custom sales flows.

Cognigy.AI fits global, multilingual enterprises running transactions and proactive outbound calls. Balto fits phone sales teams that want live rebuttals and compliance prompts for human reps.

Whichever vendors you shortlist, test them on your own sales calls. Check compliance and consent, integrations, handoffs, guardrails, and QA tied to sales outcomes.