Generate executive KPI dashboards
Bring key business metrics together in dashboards and summaries for leadership.
An AI layer for contact centers that coaches agents live, scores every call, and can handle some conversations on its own, working with your existing phone system.
Cresta is an AI layer for contact centers that works with the phone and chat systems a company already has rather than replacing them. Staff use Agent Assist for live coaching and suggested responses during a call. A separate AI Agent feature handles some conversations start to finish without a human. A Conversation Intelligence tool analyzes all interactions and surfaces patterns, and automated quality management scores every conversation instead of the small sample a human QA team usually reviews. It connects to major contact center systems including NICE, Five9, Genesys, Cisco, Amazon Connect, and Twilio, and holds SOC 2, ISO 27001, HIPAA, and GDPR compliance.
This fits a contact center adding AI to an existing system like Five9, Genesys, or Amazon Connect rather than switching platforms entirely. Cresta does not publish pricing; expect a quote scaled to seat count and which modules you turn on, and treat any cost figure as a planning placeholder. A practical starting point is enabling Agent Assist for live agents on one team, since it supports a human rather than replacing one, and considering the fully autonomous AI Agent only after that. Because Cresta integrates with several underlying platforms, confirm during a trial that it works smoothly with your specific phone or CRM system version.
Potential matches to review against your requirements. Explore matching tools or read a task guide before you choose.
Bring key business metrics together in dashboards and summaries for leadership.
Find relevant answers, route requests, and help service teams respond to customers sooner.
The industries and leadership roles this tool is most often matched with.
How one company factor at a time moves the modeled score. The published score is unchanged.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $79.9K | $125.4K | $201.1K |
| Three-year total | $174K | $261.9K | $403.6K |
| First-year cost per unit | $79.9K | $125.4K | $201.1K |
| Average annual cost per unit (over three years) | $58K | $87.3K | $134.5K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $27K | $36K | $48.6K |
| Implementation | $13.2K | $22K | $37.4K |
| Integration | $13.8K | $25K | $45K |
| Staff time and change management | $8.4K | $12K | $16.8K |
| Security | $6.7K | $9.5K | $14.3K |
| Administration | $4.9K | $6.5K | $8.8K |
| Support | $2.3K | $3K | $4.1K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production deployment. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Cresta and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Export Cresta recordings, transcripts, summaries, scorecards, coaching history, prompts, integrations, and CRM mappings under employee and customer retention rules. Real-time guidance and learned coaching context may not transfer, so preserve approved scripts and re-baseline quality measures on a replacement.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
A contact center AI platform combining customer-facing agents, live coaching for human agents, and automatic call evaluation, scaling from about 50 agents up.
The AI built into Freshworks' help-desk software, adding no-code support agents and a copilot for human agents.
AI voice agents for customer service phone lines, built on the vendor's own conversational model, for contact centers with mainly call volume.
An AI customer service agent platform, founded by former Salesforce co-CEO Bret Taylor, that bills by resolved conversation rather than by seat.
Where to check the product, price, security, and support.
Research observations recorded: 1. Evidence quality: Some support.
Recorded score and category rank across research updates.
Answer a few questions about your company and compare this tool with others. The research score above stays the same.
Want help moving from research to action? Explore TriVista’s AI consulting services →