Conduit vs TryCase: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Conduit and TryCase — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Conduit

Conduit AI

Paid

AI chat, voice, and internal agents purpose-built for hospitality — automate guest communication and back-of-house ops.

Chat Agents: Reply instantly across email, WhatsApp, OTAs, socials, and every guest messaging channel with a single agent.
Voice Agents: Answer calls 24/7 for restaurants, amenities, group sales, and front desk with human-sounding voices.
Internal Agents: AI teammate that works alongside staff inside the tools they already use, answering questions and taking action across systems.
Multilingual Responses: Greet and support every guest in their language across every market you serve.
Native Integrations: Connect every tool your team runs (PMS, channel manager, CRM) or have Conduit build a custom integration.
Observability: Inspect every step an agent takes — tools used, decisions made, and the reason behind each transfer.
Proactive Workflows: Workflows fire before guests need to ask, driving upgrades, feedback, and gap-night fills automatically.
Performance Reporting: Track automation rate, response time, resolution rate, and guest satisfaction across every property.

Hotel Groups: Run a unified omnichannel inbox across a multi-property portfolio with revenue management and channel manager automation.
Independent Hotels: Deploy an AI concierge and after-hours receptionist that handles reviews, guest memory, and room upgrades.
Short-Term Rentals: Automate Airbnb / vacation rental guest support end-to-end including maintenance and housekeeping coordination.
Voice Front Desk: Never miss a booking or amenity request — the voice agent handles calls around the clock.
Escalation Handling: Surface what AI couldn't resolve so operators can fill knowledge gaps and let the agent learn.

Paid

An AI QA agent that opens your app on every pull request and posts a verdict, captioned video and screenshot back to GitHub.

PR-Triggered Runs: Connecting a repository is enough - every pull request marked ready for review starts a test run with no pipeline config.
Journey Selection From Diff: TryCase reads the changed code and chooses which user flows are actually affected rather than replaying a whole suite.
Disposable Linux Environments: Each run gets a fresh environment with terminal and browser control, so state from earlier runs never leaks in.
Video and Screenshot Evidence: Results arrive as a captioned recording plus a screenshot commented on the PR, showing exactly what the app did.
Bring Your Own AI: Connect Codex through an existing ChatGPT subscription or supply an OpenRouter key and pay your provider directly for inference.
Agent Skills: Packaged skills teach Claude, Codex, Cursor and other compatible agents to drive TryCase environments without manual setup.
Parallel Workers: Up to twelve workers per bot run journeys concurrently, with testing time tracked separately for setup, the primary bot and each worker.
Usage-Based Hour Pools: Monthly plans grant a shared pool of end-to-end testing hours across setup, PRs and retries, with no automatic overage charges.

Pre-Merge Verification: Confirm a checkout or signup flow still works before approving a pull request, without pulling the branch locally.
Visual Regression Review: Catch layout and rendering breakage that unit tests pass over by watching the recorded walkthrough.
Agent-Written Code Review: Require an AI coding agent to return screenshots and recordings proving its change runs, not just a diff.
Suite-Free E2E Coverage: Give a small team end-to-end coverage without staffing the maintenance of a Playwright or Cypress suite.
Demo Clips From Branches: Reuse the captioned videos as short product demos of a feature still sitting on a branch.
Release Triage: Scan verdicts across several open PRs to decide which changes are safe to batch into a release.