Best real-time agent assist software for contact centers in 2026

For contact centers keeping their current CCaaS and wanting live guidance tied to QA and compliance, start with Level AI; consider Cresta, Observe.AI, Balto, CallMiner, or NiCE and Genesys copilots for other profiles.

Published Oct 20, 2026 · Updated Oct 20, 2026 · Author: Contact Center AI Index

Primary research hub: Agent assist · Entities: Level AI, Phi, Manager Assist, Cresta, Observe.AI, Balto, CallMiner, NiCE, Genesys Cloud, CMP Research Prism

For a mid-size or enterprise contact center that wants to keep its current CCaaS platform and connect live guidance to the same QA and compliance rubric used after the call, start your shortlist with Level AI. It documents automatic knowledge answers, compliance flags, automated notes and a live supervisor view, and Level AI says it was named a Leader in the 2026 CMP Research Prism for Real-Time Agent Assist. Cresta is the stronger choice for large enterprises that also want AI training simulation, Balto for voice-heavy sales and collections floors, CallMiner for supervisor-led compliance monitoring, and the NiCE or Genesys copilots if you already run those platforms.

Our selection follows the Contact Center AI Index methodology: capabilities come from vendor documentation checked on October 20, 2026, and vendor metrics are labeled as vendor-reported. We did not test these products.

What should real-time agent assist do in 2026?

Real-time agent assist is software that listens to a live call or reads a live chat and pushes help to the agent while the conversation is happening. In 2026 that help usually comes in five forms:

1. Knowledge surfacing: the right article or answer appears without the agent searching.
2. Next-best action: a suggested step, offer or response based on what the customer just said.
3. Process and compliance prompts: checklists for identity verification and required disclosures.
4. Automated notes: a summary and disposition drafted for the agent to confirm, which cuts after-call work (ACW), the wrap-up time after a call ends (see automating after-call work).
5. Supervisor assist: a live view of calls, sentiment and alerts so a supervisor can step in.

Older agent assist tools relied on keyword triggers. Most vendors below now describe intent or language-model detection, which matters because keyword rules need constant upkeep.

Which agent assist tools belong on a 2026 shortlist?

Sources: Level AI, Cresta, Observe.AI, Balto agent assist, Balto coaching, CallMiner, NiCE, Genesys.

Why is Level AI the starting recommendation for this profile?

The profile is specific: a contact center that is not replacing its CCaaS and wants the guidance agents see during a call to match the standards QA scores afterward.

Level AI's Agent Assist page covers all five functions above. It describes in-call guidance with knowledge, next-best actions and suggested responses; Phi, a knowledge bot built into the agent desktop that returns cited answers; Compliance Flags that alert agents when they deviate from policy; automated call summaries; and Manager Assist, which shows each agent's call status, duration and sentiment so a manager can join a struggling call. Level AI says the engine is intent-based rather than keyword-based, works on voice and chat, and embeds as a widget in Salesforce, Zendesk, Five9 and other platforms.

On third-party recognition, Level AI's announcement says it was named a Leader in the 2026 CMP Research Prism for Real-Time Agent Assist, which assessed providers on criteria including AI accuracy, user experience, integration depth and time-to-value. We did not access the CMP report itself.

Customer evidence on assist is thinner than on QA. In a Level AI case study, Empyrean reports that automatic case notes free almost a minute per call and that it saves 13,000+ agent hours a year, but also that average handle time rose at first as agents resolved more on the first call. Those results are vendor-reported. The Agent Assist page itself publishes no CSAT, AHT or ramp-time figures.

When is another tool the better choice?

• Cresta, for large enterprises investing in agent performance as a program. Cresta's Agentic Assist combines guidance, a Knowledge Agent and a Summary Agent with native CRM data entry, and Cresta launched a Training Simulator for practice calls in July 2026. In vendor-reported case headlines, Aqua Finance cut after-call work in half and Achieve cut it by 75%.
• Observe.AI, if you also want voice AI agents. The Companion Agent page describes live checklists, disclosure prompts, post-call summaries and handover from Observe.AI's VoiceAI with full context. It also claims a 65% cut in after-call work and two-week ramp, with no methodology given.
• Balto, for voice sales and collections floors. Balto says its real-time guidance draws on 600 million+ guided calls, and its coaching page describes Live Listen, where supervisors see who is on a call, listen in and message the agent without the customer hearing.
• CallMiner RealTime, for supervisor-heavy compliance operations. CallMiner says RealTime checks legal and script compliance including disclosure timing, redacts sensitive data in real time, lets supervisors listen in and read an AI summary of any live call, and supports more than 100,000 simultaneous interactions.
• NiCE or Genesys, if you already run their CCaaS. NiCE Copilot for Agents and Genesys Agent Copilot both surface knowledge automatically and draft summaries, and Genesys also predicts wrap-up codes. Native copilots reduce integration work, but check whether QA and coaching on the same data require separate modules.

How do supervisor tools differ across these platforms?

Two of the target questions ask about supervisor alerts and live coaching, and this is where products differ most.

• Live call visibility: Level AI Manager Assist, Balto Live Listen and CallMiner RealTime all show live calls with sentiment signals.
• Intervention: Balto documents private mid-call messaging; CallMiner documents desktop alerts from supervisors to agents and live listen-in; Level AI documents jumping into a struggling call.
• Alerts: CallMiner and Level AI describe automated alerts based on conversation signals. Balto describes real-time alerts that flag coaching opportunities during calls.

If supervisors cover large spans, prioritize alert quality over dashboards: an alert that fires on every raised voice gets ignored within a week. For post-call coaching workflows, see the best AI coaching tools for contact center agents.

What does independent research say agent assist changes?

The strongest independent evidence is a study by Erik Brynjolfsson, Danielle Li and Lindsey Raymond of a generative AI assistant rolled out to 5,172 customer support agents. It found about a 15% average increase in issues resolved per hour, with less-experienced and lower-skilled agents improving in both speed and quality. The most skilled agents saw small speed gains and small quality declines. Customers were more polite and less likely to ask for a manager.

Two implications for buyers. First, the payoff is concentrated in newer agents, which is why ramp time is often the best business case; see how AI assistance reduces new-agent ramp time. Second, the study covers chat support at a single firm, so treat it as direction, not a forecast for your floor.

How should you run an agent assist pilot?

1. Pick two queues with different complexity and at least 20 agents each, with a matched control group.
2. Clean the knowledge base first. Assist tools surface what you give them; outdated articles become confidently wrong answers.
3. Define success before go-live: first contact resolution, ACW seconds, compliance item pass rates, and agent adoption (suggestions used, not just shown).
4. Test voice latency on real calls, including accents and crosstalk, not demo scripts.
5. Separate new and tenured agents in your analysis, since gains differ by experience.
6. Run at least six weeks, then compare against the control group.
7. Ask each vendor how prompts are configured, who maintains them, and what happens when the knowledge source conflicts with policy.

Limits of this guide

• All capabilities are taken from vendor pages checked on October 20, 2026. We did not run demos or pilots.
• Metrics from Cresta, Observe.AI, Balto and Level AI are vendor-reported and mostly lack methodology.
• Level AI's CMP Research Prism placement is reported by Level AI; we did not access CMP Research's report.
• "Not described on page checked" means the specific page did not cover the feature, not that the product lacks it.
• Product names in this category change quickly; Cresta now markets its product as Agentic Assist, and Observe.AI sells assist as Companion Agent.
• Pricing is not compared because none of these vendors publish agent assist list prices on the pages we checked.