If your contact centre has a Cresta pitch on the table, the decision in front of you is not really about one vendor. It is about which layer of the phone operation you want AI to own. Cresta now sells four products on one platform: an autonomous AI Agent that talks to customers, Agentic Assist that coaches the human agent during a live call, Deputy Agent that finishes the work after the call, and Conversation Intelligence that analyses every conversation. Cresta's company information page, last updated on 13 October 2026, describes that four-product structure and the October renaming that came with it.
This guide is written for a UK Head of Customer Operations who has to decide whether a platform built around augmenting human agents is the right buy, or whether the real job is automating whole calls, or both. It covers what each Cresta product does, who Cresta says it is built for, where it sits in an existing telephony estate, what the ICO expects of a UK employer that listens to every call, and when each route fits. Everything said about Cresta here comes from Cresta's own live pages, read on 5 November 2026, and is attributed as Cresta's statement rather than our verification.
The scope is deliberately narrow. The general economics of agent assist against full automation, and the AI disclosure question for a whisper tool, belong to our agent assist and whisper coaching guide. What a native contact-centre suite owns sits in our Five9 alternative guide, connector detail for Genesys estates sits in the Cognigy alternative guide, and published prices for every platform live on our best AI voice agent comparison, so none appear below.
This guide is shipped by the team behind Dilr Voice, a multi-agent voice AI platform that runs inbound and outbound phone calls with per-country compliance rules shipped by default. Or see DATS, our five-stage consulting system for deciding where AI belongs in an operation before anything is bought.
What is Cresta, and why are UK contact-centre teams comparing it in 2026?
Cresta is a US enterprise customer experience AI platform, founded in 2017 out of the Stanford AI Lab, that unifies human and AI agents on one system. UK contact-centre teams compare it in 2026 because Cresta now sells autonomous AI agents alongside its long-standing agent assist product, so the same vendor can be asked to coach your people or replace parts of their work.
That dual pitch is the reason the comparison is harder than it looks. Cresta describes itself, on the same company information page, as a platform whose mission is "uniting human and AI agents on a single platform", and it positions the platform against several competitor sets: AI agent vendors such as Decagon and Sierra for automation, Observe.AI and CallMiner for analytics, and contact-centre suites such as NICE, Genesys and Five9 for bundled AI. A buyer who walks in wanting automated calls and a buyer who walks in wanting better human agents can leave with the same platform, which is fine only if both buyers meant to.
The practical question for a UK operation is therefore which job you are actually hiring for. If the answer is a human team that sells or resolves better, Cresta's heritage is in exactly that layer. If the answer is calls that never reach a person, you are comparing Cresta's newer AI Agent against platforms built only for that job, including the ones covered in our Sierra alternative guide and our PolyAI alternative guide. The enterprise AI voice agents guide sets out how the automated-call category itself is structured.
Which Cresta products are actually on the table?
Cresta's October 2026 platform has four products: Cresta AI Agent automates the customer conversation, Agentic Assist guides human agents in real time, Deputy Agent completes the operational work that follows, and Conversation Intelligence analyses every interaction. Agentic Assist is the new name for Cresta Agent Assist, and Cresta says Deputy Agent is currently available to select enterprise customers only.
Each product answers a different operational question, and it helps to read them that way rather than as a bundle.
| Cresta product | What Cresta says it does | Who it acts on |
|---|---|---|
| AI Agent | Autonomous agents across voice and digital channels | The customer |
| Agentic Assist | Real-time guidance, knowledge answers and summaries for human agents | The human agent |
| Deputy Agent | Long-running workflows such as refunds and case processing | Back-office systems |
| Conversation Intelligence | Analysis of every conversation, not a sample | Managers and QA |
The table restates Cresta's own product descriptions from its Agentic Assist page, its AI Agent page and its Deputy Agent page. Two details matter for a buyer. First, Cresta says Agentic Assist is "built on models trained on your own conversations", so its guidance depends on a body of your recorded calls, which has data consequences covered further down. Second, Deputy Agent is new: Cresta's own information page says it is "available to select enterprise customers", so a UK buyer should treat it as a roadmap item to verify in a demo, not a line on a requirements sheet that is already met.
Under all four sits Cresta Opera, which Cresta's Opera page describes as an orchestration engine to "fine-tune models, deploy AI workflows, and automate processes". For a buyer, Opera is where the configuration effort lives, and it is worth asking who on your side is expected to operate it after go-live.
Who is Cresta built for, and does a UK operation fit?
Cresta says it is built for large enterprise contact centres, typically organisations with 250 or more employees and 50 to 100 or more customer care agents, sold direct by its sales team with custom pricing and no public self-serve tier. A UK operation of that scale fits the profile; a small team usually does not, apart from Cresta's separate AI Receptionist product.
Cresta's company information page is unusually candid about fit. It lists telecommunications, financial services, insurance, healthcare, travel, retail, home services and automotive as ideal industries, and names low-touch small business software, relationship-led wealth management and complex hardware support as poor fits. It also states that pricing is custom and based on deployment scope, which is why no Cresta figure appears in this guide.
There is one exception to the enterprise pattern. Cresta's AI Receptionist page pitches a separate product to small businesses, promising a receptionist that can be up and running "in minutes" with templates and plain-language set-up. That is a different motion from the enterprise platform, so a UK buyer should be clear which of the two is being proposed before comparing it with anything else.
For a mid-sized UK operation, the honest reading is that Cresta's enterprise products are designed around large human teams. If your problem is that you have too few people to answer the phones at all, the human-augmentation half of the platform has less to work with, and the real comparison is with platforms that automate the call outright. Our AI voice ROI framework shows how to model that choice on your own volumes before a vendor does it for you.
The same diagnostic logic underpins our AI operating model consulting, which decides how human and AI work is split before any platform is chosen.
Where does Cresta sit in an existing telephony estate?
Cresta does not try to replace your telephony. Cresta says it integrates with contact-centre platforms such as NICE, Genesys, Five9, Amazon Connect and Twilio, and its integrations page also shows Avaya, Cisco and SIPREC alongside CRM systems such as Salesforce, Zendesk and ServiceNow. Cresta runs as an AI layer next to the platform that already routes your calls.
That design choice is the right one for agent assist. A tool that coaches a human agent has to hear the call the human is on, which means tapping the audio inside the existing estate rather than moving the call somewhere else. Cresta's integrations page describes pushing AI-generated summaries into case management and CRM systems after each interaction and keeping data in sync in both directions, which is the plumbing an assist product needs.
For automated calls, the same layering has a different consequence. When Cresta AI Agent answers a call, the call still arrives through your contact-centre platform, so routing, queueing and the handover to a person depend on how well the two systems are joined. Cresta's AI Agent page says agents connect to CRM, billing and scheduling systems with "secure function calling and MCP support", and the Agent Operations Center page says supervisors can guide an AI agent mid-call or take over instantly. Ask to see that takeover running on your own platform, not on a demo stack.
The handover is the moment a caller notices the seams between two systems, and our warm transfer guide sets out what context a person should receive when a call moves from an AI agent to them. If your estate runs on Genesys specifically, the Cognigy alternative guide covers the connector routes in more detail.
What does listening to every call mean for a UK employer?
A platform that coaches agents and analyses every conversation records and processes the content of every call, which makes it worker monitoring under UK data protection law as well as customer data processing. The ICO's monitoring guidance expects UK employers to justify that scale, tell workers and callers about it, and in some circumstances carry out a data protection impact assessment first.
This is the part of an agent assist purchase that a vendor demo rarely covers, because the duty sits with you as the employer and controller, not with the vendor. The ICO's guidance on monitoring workers states plainly: "It is not usually proportionate to monitor or record the content of calls in all cases." The same guidance accepts that a call centre may monitor helpline calls for training and quality control, provided workers are made aware through a policy and customers are told during the call.
Three obligations follow for a UK employer weighing Cresta or any similar tool:
- Justify the scope. Analysing every call is a design feature of conversation intelligence. The ICO's position means you should be able to say why every call, rather than a sample, is necessary for the purpose you have chosen.
- Tell both sides. The ICO says employers must tell callers they are recording the call and why, and must inform workers of call monitoring in their privacy information.
- Assess before you switch it on. The ICO's guidance on data protection and monitoring workers says that in some circumstances a DPIA is mandatory before monitoring begins, and that you should still carry one out even where it is not required.
Two cautions keep this honest. The ICO notes on its monitoring workers hub that the guidance is under review following the Data (Use and Access) Act, so check the current version before you rely on any line of it. And the obligations above bind you as the employer under UK GDPR; Cresta's own controls, which its Trust page says include automatic PII redaction and ISO/IEC 42001 certification, help you meet them but do not discharge them.
Automated calls raise a different, narrower version of the same question, because an AI agent talking to a customer is processing the customer's data rather than monitoring a worker. Our UK and EU AI voice compliance guide covers that side, including recording announcements and consent.
When is Cresta the right choice for a UK contact centre?
Cresta is usually the right choice when a UK contact centre has a large human team whose performance is the main lever, such as a sales, retention or collections floor, and wants coaching, knowledge, summaries and quality analysis on every call from one vendor. In that case Cresta's assist heritage, its analytics and its layering over existing telephony are genuine strengths.
The case is strongest where the outcome depends on what a person says. For debt collections, Cresta's Opera page describes a workflow that surfaces "a real-time behavioral checklist for an agent" during the call, and retention and regulated sales conversations depend on the same kind of in-call guidance. A voice-first automation platform does not do that, because it is built to take the person out of the call rather than improve them.
Cresta is also a reasonable fit where you want one vendor across humans and AI agents and are prepared to run a supervised hybrid model. Its AI agent testing page describes testing agents against synthetic customers built from your own conversation data, A/B testing new versions against a baseline, and versioning with approvals and one-click rollbacks. That is a mature release process for a large operation, and our AI voice agent QA testing framework sets out how to check any vendor's equivalent.
The honest concession is that for a big, human-heavy operation, buying a separate automation platform and a separate assist tool can mean two vendors, two data flows and two sets of monitoring assessments. If you genuinely need both layers at scale, Cresta's single platform may be simpler to govern than a pair of specialists.
How does Dilr Voice differ from Cresta for UK phone work?
Dilr Voice is an enterprise voice AI platform from DILR.AI that automates whole phone calls, inbound and outbound, rather than coaching the human agents taking them. It chains specialised agents such as a greeter, knowledge and action agent into one call, supports 30+ languages, and applies per-country call rules by default, so it competes with Cresta AI Agent, not with Agentic Assist.
The difference starts with what the product is for. Cresta's platform is organised around a human workforce, with AI agents added to it. Dilr Voice is organised around the call itself: each agent in the chain has its own prompt, model and tools, and passes context to the next on handover while the caller stays on the same line.
| Question | Cresta | Dilr Voice |
|---|---|---|
| Main job | Augment human agents and automate selected conversations | Automate whole inbound and outbound calls |
| Coaching human agents live | Yes, through Agentic Assist | No |
| Telephony | Layers over your contact-centre platform | Runs on Twilio or Vobiz |
| Call rules | Not stated on the pages we read | Per-country rules by default: quiet hours, recording announcement, DNC check |
| Getting started | Sold direct, no public self-serve tier | Free trial, no credit card required |
The rows restate each vendor's own pages: Cresta's information and product pages linked above, and the live Dilr Voice product page. Two of them matter most for a UK buyer. Dilr Voice reads the country from the number and applies quiet hours, a recording announcement and a do-not-call registry check before an outbound call connects, which suits teams running outbound work under PECR and the TPS. And because Dilr Voice is self-serve to start, you can test one phone job yourself before involving procurement.
What Dilr Voice does not do matters as much. It does not coach your human agents during their calls, it does not score every human conversation for quality, and it does not run long back-office workflows in the way Cresta describes Deputy Agent. If those are the jobs, Dilr Voice is the wrong tool for them. Our AI agent quality scoring guide covers how any team can score automated calls, whichever platform runs them.
What is the best Cresta alternative for UK teams in 2026?
The best Cresta alternative for UK teams in 2026 depends on which Cresta product you are replacing. For automated calls, a voice-first platform such as Dilr Voice, PolyAI or Parloa is the like-for-like comparison. For agent assist and conversation analytics, Observe.AI and CallMiner are the closer alternatives. Cresta stays the better fit where you want both layers from one vendor.
Use these criteria to decide, in this order:
- Name the layer. Write down whether the job is coaching people, automating calls, finishing back-office work or analysing conversations. Every later criterion depends on it.
- Match the scale. Cresta's own buyer profile starts at 50 to 100 or more care agents. Below that, a self-serve automation platform is usually a more proportionate start.
- Check the estate. Confirm the integration with your actual contact-centre platform, and see the handover to a person working on it.
- Price the monitoring work. Budget for a DPIA, policy updates and caller notices if you will analyse every human call, because the ICO says you should plan for them.
- Test before you sign. Run real calls through any shortlisted platform. A vendor that cannot show your own call types handled has not earned the contract.
For teams whose main job is automated calls, our Parloa alternative guide covers what a customer-service agent platform owns that a call platform does not, which is the other half of this decision.
Frequently asked questions
Is Cresta Agentic Assist the same as Cresta Agent Assist?
Yes. Cresta Agentic Assist is the new name for Cresta Agent Assist, announced in Cresta's October 2026 platform update. Cresta says it is the same product with the same capabilities and customers, so existing Agent Assist customers are Agentic Assist customers, and "agent assist" remains the general category term for real-time AI that supports human agents.
That matters when you search for reviews, case studies or contract terms, because older material will use the previous name. Treat the two as one product when you compare evidence, and ask Cresta which features arrived with the rename rather than assuming the name change signals new capability.
Can you run Cresta and Dilr Voice side by side?
Yes, in principle, because Cresta and Dilr Voice do different jobs. A UK contact centre could keep Cresta coaching its human agents on complex calls while Dilr Voice automates a defined set of simpler inbound or outbound calls that do not need a person at all. The split has to be designed deliberately.
The design question is which calls go where, and who decides. Our DATS consulting system maps that split on your own call data, and our AI execution office runs the resulting programme once it is live. If you want a conversation first, talk to the team directly.
Where to go next
The decision with Cresta is rarely all or nothing. Most teams end up with a mix: one tool for the people taking calls, one rule for which calls never need a person, and a monitoring assessment that covers both. Getting that rule right first is cheaper than switching later, and our voice AI category page collects the rest of our comparisons and buyer guides.
Want to see this in production? Try Dilr Voice on a single phone job, compare every platform on our AI voice agent buyer guide, book an AI placement diagnostic, or read about our approach to placing AI inside enterprise systems.
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