10 best agent assist software in 2026

Agent assist software transforms contact center performance by giving agents AI-powered real-time guidance, automated knowledge surfacing, and intelligent coaching during live customer interactions. Instead of hunting through a knowledge base while a customer waits, the agent sees the right answer, the next best action, and a live read on sentiment — as the conversation happens.

The category has matured fast. In this guide we compare the 10 best agent assist platforms of 2026, then show how teams building their own real-time agent assist do it on AssemblyAI's Voice AI models. If you're evaluating build-vs-buy, skip to real-time agent assist with AssemblyAI.

What is agent assist software?

Agent assist software is AI that combines speech-to-text with natural language understanding to analyze a customer conversation as it happens and feed the agent live help. Modern agent assist has four core components:

• Real-time transcription — an accurate, low-latency stream of what's being said.
• Knowledge surfacing — pulling the relevant article, policy, or answer automatically.
• Next best action — suggesting what the agent should do or say next.
• Post-call analytics — scoring, summarizing, and spotting trends after the call.

The difference between good and bad agent assist comes down to the transcription layer. If the AI mishears a name, an account number, or a product term, every downstream suggestion inherits that error. That's why streaming accuracy — not just the UI — is the thing to evaluate hardest.

Benefits of agent assist for contact centers

• Reduced average handle time (AHT)
• Improved first-call resolution
• Higher customer satisfaction (CSAT)
• Automated quality assurance across 100% of calls, not a manual sample
• Faster agent onboarding and ramp

Key features to evaluate

• Speech recognition accuracy — the foundation everything else sits on.
• Real-time processing — partials in the low hundreds of milliseconds, not seconds.
• Security and compliance — PII redaction, SOC 2, and a BAA where PHI is involved.
• Integration — pre-built connectors for Five9, Genesys, NICE CXone, and your CRM.
• Multilingual support — accurate transcription across your customers' languages.

The 10 best agent assist software platforms in 2026

1. Calabrio

Enterprise-grade platform combining real-time guidance with deep workforce analytics, strong at stitching together multi-channel context.

• Key features: real-time coaching, sentiment analysis, automated QA.
• Best for: large enterprises with complex compliance needs.
• Pricing: custom quotes starting around $75/agent/month with volume discounts.
• Trade-off: industry-leading analytics, but a higher price point and heavier implementation.

2. Level AI

A unified AI CX platform aiming for human-quality intelligence across every customer interaction.

• Key features: real-time agent assist, AI knowledge surfacing, auto call summaries, manager-assist dashboard, and 100% Auto-QA.
• Best for: large enterprises consolidating onto one platform.
• Pricing: quote-based.
• Trade-off: all-in-one with meaningful post-call-work reduction, but pricing isn't public and it's enterprise-focused.

3. Sedric.ai

Compliance-focused assistance for financial services and healthcare, with pre-trained industry-specific models.

• Key features: AI compliance monitoring, risk detection, quarterly regulatory updates.
• Best for: financial services and regulated industries.
• Trade-off: deep compliance focus, but limited to specific verticals.

4. VoiceOps

Turns sales conversations into coaching by reinforcing proven methodologies in real time.

• Key features: real-time agent coaching, performance tracking.
• Best for: sales-focused contact centers.
• Trade-off: strong sales-methodology fit, less suited to service centers.

5. Glyphic

Conversation intelligence for B2B sales, automatically capturing and analyzing customer interactions.

• Key features: conversation intelligence, automated summaries, CRM connectivity.
• Best for: B2B sales teams.
• Trade-off: easy to integrate, but lighter on real-time features.

6. EdgeTier

Real-time agent prompts and knowledge surfacing for customer service teams handling complex, technical issues.

• Key features: real-time prompts, knowledge surfacing, fast deployment.
• Best for: customer service teams.
• Trade-off: intuitive and quick to stand up, fewer advanced analytics. (EdgeTier builds on AssemblyAI for its speech-to-text layer.)

7. Salesken.ai

Real-time sales enablement through AI cue cards and objection-handling guides.

• Key features: real-time cue cards, objection handling, battle cards.
• Best for: inside sales teams.
• Trade-off: sales-specific strength, primarily sales-focused.

8. MyQM

Automates quality management with AI-powered call scoring, replacing manual sampling that only covers a fraction of interactions.

• Key features: quality management, automated scoring.
• Best for: mid-size contact centers.
• Trade-off: comprehensive QA, lighter on live guidance.

9. Nooks

Pairs an AI-powered parallel dialer with real-time coaching for outbound sales.

• Key features: AI dialer, parallel dialing, real-time coaching.
• Best for: outbound sales teams.
• Trade-off: integrated dialing platform, limited inbound capabilities.

10. Convin

Automated coaching and conversation analytics that surface winning patterns and turn them into coaching programs.

• Key features: automated coaching, conversation analytics, ROI tracking.
• Best for: growing contact centers.
• Trade-off: easy setup and strong ROI tracking, fewer enterprise features.

Real-time agent assist with AssemblyAI

Every platform above is a finished app with a fixed feature set. But a growing number of CX teams and software vendors want agent assist shaped to their exact workflow — their knowledge base, their scoring rubric, their next-best-action logic. That's a build, and it runs on three AssemblyAI building blocks.

Unlike pre-packaged solutions, AssemblyAI's API-first approach lets you build exactly what your agents need. The stack:

1. Universal-3.5 Pro Realtime for live transcription

Universal-3.5 Pro Realtime is the streaming flagship — $0.45/hr base — delivering partial transcripts in the low hundreds of milliseconds with neural end-of-turn detection that reads tonality and pacing (~300ms) rather than just waiting for silence. It's built on AssemblyAI's streaming speech-to-text. Accuracy is the whole game for agent assist, and this is where it's won. For batch and post-call work, Universal-3.5 Pro async runs $0.21/hr.

Accuracy callout: On the Pipecat open STT benchmark of real agent conversations, Universal-3.5 Pro Realtime posts a 6.99% word error rate vs. Deepgram Flux 15.58%, ElevenLabs Scribe v2 9.76%, and Google Chirp3 9.04%. On entity error rate — the names, numbers, and account IDs that break an agent-assist suggestion — it hits 15.31% vs. Deepgram's 50.5%. See the full benchmarks.

2. Speech Understanding for live signal

Real-time transcription alone isn't agent assist. Speech Understanding layers on sentiment analysis, entity and topic detection, and PII redaction so you can drive compliance monitoring, quality scoring, and knowledge surfacing off structured signal instead of raw text.

3. LLM Gateway for next best action

Feed the live transcript and detected signals into the LLM Gateway — one OpenAI-compatible endpoint fronting Claude, GPT, and Gemini — to generate next-best-action prompts, live answer suggestions, and post-call summaries in whatever format your agents and QA team need. (Building recaps specifically? See the best transcript summarizers.)

For fully automated voice interactions — deflecting routine calls before they reach an agent — the Voice Agent API runs STT, LLM, and TTS over a single WebSocket at a flat $4.50/hr with roughly 1-second response latency.

Who builds on AssemblyAI

Contact center and conversation-intelligence platforms including Concentrix, CloudCall, AmplifAI, Jiminny, and EdgeTier build on AssemblyAI's speech-to-text as the accuracy foundation under their own agent-assist and analytics products. See more in our guide to AI use cases in contact centers and real-time conversation intelligence.

Get your free API key and start building — free API credit to start, no credit card required.

How to choose the right agent assist software

• Document current baselines (AHT, FCR, CSAT) and define success metrics before you shop.
• Test accuracy on your own call recordings, not the vendor's demo audio.
• Verify real-time response times under peak load, not just in a quiet sandbox.
• Confirm compliance certifications and, for PHI, a signed BAA.
• Check integration with your existing contact center platform and CRM.
• Scrutinize pricing transparency — many vendors are quote-only, which makes budgeting hard.

Here's the decision most teams get wrong: they pick on features and demos, then discover in production that the transcription layer can't keep up with real, noisy, accented calls — and the whole assist experience degrades. Evaluate accuracy first. Everything an agent-assist product does is a function of getting the words right.

Try AssemblyAI free, or explore Voice AI solutions for contact centers.

Frequently asked questions about agent assist software

What is agent assist software and how does it help contact center agents?

Agent assist software uses real-time speech-to-text and natural language understanding to analyze live calls and feed agents guidance — knowledge surfacing, next best action, and live sentiment — as the conversation happens, reducing handle time and improving first-call resolution.

How does modern AI agent assist differ from traditional call center software?

Traditional software relied on rigid decision trees and keyword matching. Modern AI agent assist uses neural models to generate dynamic responses based on the actual flow of a conversation, adapting in real time instead of following pre-programmed scripts.

How does speech recognition accuracy affect agent assist performance?

It's the ceiling on everything. Poor transcription creates cascading errors, so every improvement in word error rate correlates with better knowledge surfacing and suggestions. Universal-3.5 Pro Realtime's 6.99% WER and 15.31% entity error rate on the Pipecat benchmark are why the assist layer stays reliable.

Can I build my own real-time agent assist instead of buying a fixed platform?

Yes. Teams build custom agent assist on Universal-3.5 Pro Realtime for streaming transcription ($0.45/hr base), Speech Understanding for sentiment and entity detection, and the LLM Gateway for next-best-action — giving you an assist experience matched to your exact workflow.

What does real-time agent assist cost compared to full voice automation?

For assist, you pay for streaming transcription at $0.45/hr base plus Speech Understanding and LLM Gateway usage. For fully automated calls, the Voice Agent API bundles STT, LLM, and TTS at a flat $4.50/hr with roughly 1-second latency, billed per second with no minimums.

Is agent assist software safe for regulated industries like finance and healthcare?

It can be, with the right foundation. AssemblyAI supports PII redaction and, for PHI, is considered a business associate under HIPAA and offers a Business Associate Addendum (BAA) so covered entities and their business associates can process protected health information. Confirm a signed BAA and compliance certifications with any vendor.