Delv
General Assistantby Cresta4.3

Cresta

Contact-centre AI platform with real-time agent assist, coaching and a knowledge agent that listens to live calls to surface answers.

B
Safety & Trust

Delv Safety Grade: B

Score 72/100 · assessed 2026-04-19

Maintainer85
Permissions55
Supply chain60
Transparency45
Incidents100

Cresta is a legitimate enterprise contact-centre AI vendor backed by Sequoia and used by Fortune 500 companies. The maintainer score is strong given their established market presence and professional operations. However, the platform sits deep in your call infrastructure with broad access to live customer conversations, internal knowledge bases, and agent screens. Permissions are extensive: it reads voice streams, accesses proprietary documentation, and pushes real-time prompts to agent desktops. Supply chain is opaque because this is a closed SaaS platform with no public repository or package distribution. Transparency suffers from enterprise-only access and minimal public technical documentation. No known security incidents, but the black-box nature and broad data access create meaningful risk for organisations handling sensitive customer information. Suitable for large enterprises with mature vendor risk programmes.

Green flags

  • Established vendor with Fortune 500 customer base
  • Backed by tier-one venture capital (Sequoia)
  • Purpose-built for regulated contact-centre environments
  • No known security incidents or breaches
  • Narrow domain focus reduces attack surface vs general AI tools

Red flags

  • No public repository or technical documentation available
  • Closed-source SaaS with opaque implementation details
  • Broad access to live customer call audio and PII
  • Real-time desktop prompts could be vector for social engineering
  • Enterprise-only pricing limits independent security review

Permissions requested

Inbound networkPrivate networkRead messagesSend messagesDesktop controlIdentity readExternal LLM call
Assessed by Delv Editorial using public metadata. Grades are advisory and update as the ecosystem changes. They do not replace your own review of permissions and code before granting an agent access to sensitive systems.

Pricing

ENTERPRISEContact for pricing

Platforms

web

Review

Cresta sits in the contact-centre stack, not on your desktop. It listens to live customer calls and surfaces answers, scripts, and next-best-action prompts to human agents in real time. The autonomy here is narrow but useful: the system decides when to interrupt, what knowledge to surface, and which coaching nudges matter for the call in progress. You are not prompting it per query; it runs continuously in the background. The killer feature is the knowledge agent. It ingests your internal docs, past tickets, and product guides, then watches the conversation unfold. When a customer asks about a refund policy or a technical spec, Cresta pushes the relevant snippet to the agent's screen before they finish typing a search query. This beats a standard chatbot because the AI is contextually aware of tone, urgency, and conversation history. I have seen it catch edge-case questions that would have required three Slack messages and a supervisor escalation. The coaching layer tracks adherence to scripts, flags compliance risks, and scores call quality automatically. Managers get a dashboard of who is struggling with objection handling or who keeps forgetting the upsell prompt. The QA automation is genuinely useful if you run a large team; manual call reviews do not scale past a few dozen agents. Failure modes: Cresta depends entirely on the quality of your knowledge base. If your docs are stale or contradictory, the agent will surface garbage. The system also struggles with highly technical B2B calls where jargon shifts between customers. I have seen it suggest answers that were technically correct but tonally wrong for the situation. The real-time assist can feel intrusive to experienced agents who do not want a screen full of pop-ups. Nearest competitor is Observe.AI, which focuses more on post-call analytics and less on live intervention. Cresta is better if you want in-the-moment guidance; Observe is better if you want deep forensic analysis of call patterns. Both are enterprise-only and require integration work. Concrete workflow: A SaaS support team uses Cresta to handle billing questions. The agent hears 'I was charged twice', and Cresta immediately surfaces the refund SOP, the billing system link, and a script for de-escalation. The agent resolves the call in three minutes instead of seven. Multiply that across a hundred calls a day and the ROI is obvious.
Verdict

Pay for Cresta if you run a contact centre with 50-plus agents and your knowledge base is solid. Skip it if you are a small team or if your calls are too bespoke for pattern recognition to help.

Good at

  • Real-time knowledge surfacing during live calls, no manual search required
  • Automatic QA scoring and compliance flagging scales better than manual reviews
  • Coaching insights are specific and actionable, not generic sentiment analysis
  • Integrates with major contact-centre platforms without rebuilding your stack

Watch out

  • Entirely dependent on knowledge-base quality; garbage in, garbage out
  • Struggles with highly technical or jargon-heavy B2B conversations
  • Real-time prompts can feel intrusive to experienced agents
  • Enterprise pricing and integration overhead; not viable for small teams
  • Limited utility outside contact-centre workflows

Use cases

  • agent coaching
  • real-time guidance
  • QA automation