Cresta Review 2026: Real-Time Agent Assist That Actually Moves the Needle

# Cresta Review 2026: Real-Time Agent Assist That Actually Moves the Needle

Published on Digital by Default | August 2026

The contact centre industry has spent decades trying to improve agent performance through training, scripting, and quality assurance. The fundamental limitation has always been timing: feedback comes after the conversation is over. By the time a manager reviews a call recording and provides coaching, the customer has already had a poor experience, the sale has already been lost, and the agent has already reinforced the wrong habits.

Cresta changes the timing. It provides real-time coaching, suggested responses, and behavioural guidance to agents during live conversations — not after. The AI listens to the conversation as it happens and surfaces relevant suggestions, objection-handling techniques, compliance reminders, and next-best-action prompts in real time.

This is not a new concept. Real-time agent assist tools have existed for several years. What distinguishes Cresta is the sophistication of its AI models, the depth of its coaching capabilities, and its track record with large enterprise contact centres. The question for UK businesses is whether Cresta's enterprise positioning and pricing make sense for their specific operation.

What Cresta Actually Does

Cresta is a real-time intelligence platform for contact centres. It operates across three core functions:

Real-Time Agent Assist

During live conversations (voice or chat), Cresta analyses the dialogue and provides agents with:

• Suggested responses — contextually relevant reply suggestions that agents can use, modify, or ignore
• Knowledge surfacing — relevant help articles, policies, and product information pulled up automatically based on the conversation topic
• Behavioural coaching — real-time prompts about conversation techniques (empathy statements, active listening, closing techniques) based on what top-performing agents do differently
• Compliance alerts — warnings when conversations approach compliance-sensitive territory, with suggested compliant language

Conversation Intelligence

Post-conversation analytics that identify patterns, trends, and coaching opportunities across the entire operation:

• Automatic call scoring — every conversation is scored against quality criteria without manual QA review
• Topic and sentiment analysis — automated categorisation of conversation themes and customer sentiment
• Performance benchmarking — comparison of individual agent performance against team averages and top performers
• Coaching insights — specific, actionable coaching recommendations for each agent based on their conversation patterns

Virtual Agent

AI-powered chatbot capability that handles conversations autonomously, using the same models and knowledge base as the agent assist function. Conversations can be escalated seamlessly to human agents with full context.

How It Compares

Cresta and Balto are the most direct competitors in real-time agent assist. Balto is easier to deploy and more accessible for mid-market teams. Cresta is more sophisticated and better suited to large, complex contact centre operations where the AI model quality justifies the investment.

Pricing

Cresta does not publish pricing. It is an enterprise product with custom pricing based on:

For a 100-agent UK contact centre, expect an annual investment of £60,000–£180,000+ including implementation. This is a significant commitment, but the ROI case is built on measurable improvements in conversion rate, handle time, first-call resolution, and CSAT.

Who It's For

• Large contact centres (100+ agents) where small percentage improvements in performance translate to significant revenue or cost impact
• Sales-focused contact centres where real-time coaching on objection handling, upselling, and closing techniques directly impacts revenue
• Regulated industries (financial services, insurance, healthcare) where compliance monitoring during live conversations reduces risk
• Organisations investing heavily in agent training that want to supplement classroom training with continuous, real-time reinforcement
• Contact centres with high agent turnover where new agents need to reach competency faster

Who It's Not For

• Small support teams (under 50 agents) — the investment is disproportionate to the potential return at this scale
• Businesses with primarily asynchronous support (email-only) — Cresta's real-time capabilities are most valuable for synchronous channels
• Organisations without a clear quality framework — Cresta amplifies existing best practices; if you have not defined what good looks like, the tool has less to work with
• Teams looking for a simple chatbot or FAQ automation — Cresta is a performance optimisation platform, not a basic automation tool
• Budget-constrained organisations — the pricing is enterprise-grade and difficult to justify without clear, measurable ROI targets

Honest Pros and Cons

Pros:

• Real-time coaching is genuinely transformative for contact centre performance — the "in the moment" feedback loop is far more effective than post-hoc coaching
• AI model quality is best-in-class — suggestions are contextually relevant and improve agent conversations measurably
• Automatic QA scoring eliminates the sampling problem (most QA teams only review 1–3% of conversations)
• The platform covers the full cycle: real-time assist, post-conversation analytics, and automated QA
• Proven track record with large enterprise deployments

Cons:

• Pricing is enterprise-only and opaque — not accessible for mid-market organisations
• Implementation is complex and time-consuming — expect 2–4 months for a full deployment
• The platform requires clean, accessible conversation data to train effectively
• Agent adoption can be challenging — some agents resist real-time coaching as intrusive or patronising; change management is essential
• The virtual agent module, while capable, is not as mature as dedicated AI support platforms

How to Get Started

1. Quantify your performance gap. Calculate the revenue or cost impact of improving conversion rate, handle time, or first-call resolution by even 5–10%. This is the business case for Cresta.

2. Define what good looks like. Identify your top-performing agents and document their behaviours, techniques, and language patterns. Cresta amplifies best practices — you need to define them first.

3. Request a proof of concept. Cresta typically offers POCs with a subset of agents and calls. Measure the impact on key metrics during the pilot.

4. Plan for agent adoption. Communicate clearly to agents that the tool is designed to help them, not monitor them. Involve agents in the rollout and gather their feedback.

5. Start with one channel and one team. Deploy on your highest-impact channel (typically voice for sales, chat for support) with a single team before expanding.

6. Integrate with your CCaaS platform. Cresta integrates with major contact centre platforms (Five9, Genesys, NICE, Amazon Connect). Confirm compatibility before committing.

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