Cresta
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.
A contact center AI platform combining customer-facing agents, live coaching for human agents, and automatic call evaluation, scaling from about 50 agents up.
Observe.AI is an AI platform for contact center operations built around three types of AI agents. Some resolve customer requests directly over voice or chat, others give live human agents real-time suggestions and next steps, and a third type evaluates interactions afterward to generate coaching notes. An AI CoBuilder tool lets a team write agent behavior in plain English without code. The platform enforces required steps, such as identity verification or legal disclosures, so an AI agent can't skip them, and keeps a record for audits. Observe.AI reports most customers go live within one to two months and holds SOC 2 and HIPAA compliance, with business associate agreements available.
This fits a contact center that wants to start small with quality and coaching automation and grow into autonomous customer-facing agents over time, since the platform covers both approaches. Observe.AI's own materials describe customers from about 50 agents to more than 50,000, so a smaller team fits within its normal range while enterprise features scale further. Pricing isn't public; plan on a custom quote tied to interaction volume and which agent types you activate, and treat any figure as an estimate. A sound pilot turns on the quality evaluation agent first, since it reviews calls that already happened rather than live customers, then adds a customer-facing resolution agent for a narrow use case. Confirm during setup that the enforced mandatory steps like authentication match your actual compliance needs.
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 Observe.AI 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.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
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.
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.
Why it’s an alternative—
Compare with CrestaThe AI built into Freshworks' help-desk software, adding no-code support agents and a copilot for human agents.
Why it’s an alternative—
Compare with Freshworks Freddy AIAI voice agents for customer service phone lines, built on the vendor's own conversational model, for contact centers with mainly call volume.
Why it’s an alternative—
Compare with PolyAIAn AI customer service agent platform, founded by former Salesforce co-CEO Bret Taylor, that bills by resolved conversation rather than by seat.
Why it’s an alternative—
Compare with SierraWhere to check the product, price, security, and support.
Research observations recorded: 1. Evidence quality: Good support.
Recorded score and category rank across research updates.
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