Tools / Agent Assist & Copilots

Cresta Review (2026)

Real-time coaching for large contact centres, with the performance measurement to show whether it worked.

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2.4out of 5
Pricing transparency1.0
Capability2.5
Independence5.0
Independent evidence1.5
Cost predictability2.5

What the score measures. Five things we can verify from published material: whether pricing is transparent, whether the product can act on your systems or only answer from documents, whether the vendor still owns its own roadmap, how much independent review evidence exists, and whether the bill stays predictable as volume grows. Weighted, then scored against an ideal platform that scores 5.

Evidence score2.4 / 5
Starting priceNot published
Pricing modelCustom / sales-led
Free planNo
Self-serveNo
IndependentYes

BEST FOR: LARGE CONTACT CENTRES WITH MEASURABLE PERFORMANCE SPREAD BETWEEN AGENTS · LAST UPDATED 2026-07-30

Cresta in depth

Cresta's approach is to identify what the best agents in a contact centre do differently and then prompt everyone else to do it, live, during the conversation.

That is a well-founded idea. In large contact centres the performance gap between top and median agents is wide and durable, and traditional coaching — a manager reviewing a handful of calls a month — barely touches it.

What it does

  • Live agent guidance during calls and chats
  • Behaviour tracking against measurable outcomes
  • Automatic call scoring and QA
  • Coaching insights from top-performer behaviour
  • Contact centre platform integrations
  • Conversation analytics at scale
More detail on how it works

Cresta is an enterprise product with substantial funding, sold to large contact centres. There is no self-serve path and no published pricing.

Real-time guidance

Prompts during the conversation rather than feedback afterwards. The distinction matters: post-hoc coaching relies on the agent remembering next time, while in-call prompts change the call happening now.

Learning from top performers

Rather than a consultant's script, Cresta derives guidance from what your own best agents actually do. More credible than imported best practice, and more likely to be adopted.

Measurement

Cresta measures whether the behaviours it prompts correlate with outcomes. That makes the value testable, which is more than most AI in this category offers.

Setting Cresta up

Realistic time to a working deployment: Hours to days. These are the standard steps for this category. We have not published a walkthrough specific to this tool yet.

  1. 01

    Connect the help desk

    OAuth into Zendesk, Freshdesk, Salesforce or your inbox. Usually minutes.

  2. 02

    Give it your knowledge sources

    Help centre, internal wiki, past resolved tickets. Draft quality is capped by what it can read.

  3. 03

    Choose where suggestions appear

    Sidebar, inline draft or full reply. Inline drafts get used; sidebars get ignored.

  4. 04

    Pilot with two or three agents

    Pick people who will tell you it is bad. Their edits are your training signal.

  5. 05

    Measure edit rate, not handle time

    If agents send drafts unchanged under time pressure, quality is dropping while your metrics improve.

  6. 06

    Roll out and keep the off switch

    Agents who can turn it off for a hard ticket trust it more the rest of the time.

The step that takes longer than they imply. Agent adoption. Installing it is trivial; getting agents to use it rather than ignore it is a management problem.

What the AI actually does

Every platform here says “AI agent”. It covers a bot that reads your help centre and a system that can refund a customer. This is which one you are buying.

Acts on your systems

Cresta positions itself as a unified platform for human and AI agents.

A three-word tagline we previously quoted could not be matched on cresta.com in August 2026, in either spelling, so it is not reproduced here.

It is the clearest hybrid here, running an autonomous agent and a real-time coach for humans off the same conversation layer, and it sells into contact centres rather than support inboxes.

  • AI Agent handles voice and digital conversations end to end; Agent Assist coaches a human live on the same call
  • Knowledge Agent answers from enterprise knowledge, Conversation Intelligence mines calls for patterns, Quality Management scores them automatically
  • Integrates with the contact-centre stack rather than help desks: NICE, Genesys, Amazon Connect, Twilio, Avaya, Salesforce, and SIPREC for call streaming
  • The buyer is contact-centre operations, so the outcomes published are revenue and handling metrics rather than deflection
  • Named outcomes: Cox Communications reports a 20% revenue increase, Snap Finance 5.5x higher containment and 23% higher CSAT, Brinks Home a 30-point NPS increase
  • SOC 2, HIPAA, GDPR and ISO 27001, which is the shortlist criterion for the enterprises it targets

Who Should Use It

The second list is the more useful one.

Large contact centres

Hundreds of agents, where a small per-agent improvement multiplies into a real number.

Sales and retention teams

Where conversation quality has a directly measurable revenue outcome, so the return is easy to attribute.

Organisations with a wide performance spread

The larger the gap between your best and median agents, the more there is to close.

Who should look elsewhere. Small teams. With ten agents a manager can coach directly and the enterprise price will not pay back. Also not for teams whose goal is deflection — Cresta makes humans better rather than removing the need for them.

Strengths and Weaknesses

What Works

  • A well-chosen problem with a testable value claim
  • Real-time guidance rather than retrospective review
  • Guidance derived from your own top performers rather than generic best practice

What Does Not

  • No published pricing
  • Enterprise-only economics
  • Live prompting can be experienced as surveillance, so adoption depends on how it is introduced
  • Does not reduce contact volume

Cresta pricing

Cresta does not publish pricing. Expect enterprise quotes based on agent count.

The business case is agent performance rather than headcount reduction: a percentage-point improvement in conversion or handle time across hundreds of agents is a large number, and that is the arithmetic to run.

The full arithmetic

Ask for the measurement methodology during evaluation. Cresta's own framing invites that scrutiny, and a vendor that measures should be willing to show you how.

Custom and private pricing

Cresta does not publish a rate. You have to ask, which means a sales conversation before you can compare it against anything else on this site.

Request a demo  ↗

Ask two things on that call: what triggers a billable event, and what the rate is at twice your current volume.

INTEGRATIONS

GenesysNICE CXoneFive9SalesforceZendeskAmazon ConnectTalkdesk

Our Recommendation

Who we would tell to buy this, and who we would not.

Cresta is a credible enterprise product aimed at a real and expensive problem: the durable performance gap between your best agents and everyone else, which conventional coaching does not close. Deriving guidance from your own top performers is more defensible than imported best practice, and Cresta's willingness to measure outcomes makes the claim testable. Two cautions. It needs scale — with ten agents this does not pay back. And live prompting can read as surveillance, so how you introduce it will affect whether it works more than the software will.

Where we write about Cresta

2 pieces on this site name it.

Frequently Asked

The questions people actually search for about Cresta.

What does Cresta do?

Provides real-time coaching prompts to contact centre agents during calls and chats, based on what your own top performers do, and measures whether it changes outcomes.

How much does Cresta cost?

Not published. Enterprise quotes based on agent count.

Is Cresta an AI agent?

No. It coaches human agents rather than replacing them. For autonomous handling, that is a different category.

Does Cresta work for small teams?

No. With a handful of agents a manager can coach directly and the enterprise pricing will not pay back.

How does Cresta know what good looks like?

It derives guidance from your own highest-performing agents rather than from generic best practice, which makes it more credible and more likely to be adopted.

Do agents mind real-time prompts?

Some experience it as surveillance. Adoption depends heavily on how it is introduced, and that is usually a bigger factor than the software.

What are the main Cresta alternatives?

Balto for live compliance prompting, Observe.AI for QA plus assist, Level AI for intent analytics, or the native agent-assist in Genesys and NICE.