Duckie
AI support agents that resolve action-heavy tickets end-to-end
Duckie stands out because its agents don't just chat—they execute actions in Stripe, Jira, and Zendesk, cutting support costs by 60%+ and automating up to 95% of tickets. The no-code builder and two-week deployment make it accessible to support leaders, not just engineers. If your tickets are action-heavy, this is a strong upgrade over deflection bots like Intercom Fin; if you only need simple FAQ deflection, cheaper tools exist.
Verified 6d ago · liveness 70/100 · cite: rightaichoice.com/tools/duckie
- High-volume support teams handling complex, action-heavy tickets
- Fintech and SaaS companies needing deep Stripe, Jira, and Zendesk integrations
- Support leaders without engineering teams who want to build AI agents in plain English
- Teams aiming to cut support costs by 60%+ and automate 70-95% of tickets
- Teams that only need simple FAQ deflection
- Startups with fewer than 100 tickets per month
- Organizations requiring on-premise or air-gapped deployment
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Skip Duckie if you only need simple FAQ deflection on low-complexity tickets, if you have fewer than 100 tickets per month, if you require on-premise deployment, or if you prefer per-resolution pricing.
Pricing is by quote only, so you won't know the subscription cost until after a sales demo.
Duckie's pricing is enterprise-focused and contact-based, making it best for mid-market and enterprise teams with high ticket volumes and budget for automation. It's likely more expensive than chatbot-only tools like Intercom Fin, but cheaper than hiring additional support agents—customers report cutting support costs by 60%+.
In short
Duckie — AI support agents that resolve action-heavy tickets end-to-end. Best for High-volume support teams handling complex, action-heavy tickets, Fintech and SaaS companies needing deep Stripe, Jira, and Zendesk integrations, Support leaders without engineering teams who want to build AI agents in plain English. Contact Sales pricing.
What's new in Duckie
Checked 6 days agoAcross the latest 1 update: 1 feature update.
What people actually say about Duckie — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
59 mentions across 6 sources (Hacker News, YouTube, Product Hunt, App Store, GitHub, Lemmy) · researched Aug 12, 2026.
- +Concept of resolving tickets end-to-end rather than deflecting is compelling.
- +Self-building agents from ticket history could cut setup time significantly.
- +Integrates with key tools like Stripe, Jira, Zendesk directly.
- +Supports multi-channel communication including Slack, Discord, and Gmail.
- +Proactive messaging is planned for 2026, indicating forward momentum.
- −No community verification of effectiveness or reliability.
- −No public pricing, which creates uncertainty for buyers.
- −Lacks independent case studies or testimonials from real customers.
- −Potential security risks with executing financial actions are unaddressed.
- −Unclear how it compares to existing support automation tools.
- • No public pricing sheet, potentially expensive
- • Implementation may require professional services, not included
Viability Score
How well maintained and how widely used is Duckie? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Execute refunds via Stripe API
- Reset passwords with secure verification
- Update billing and subscription preferences
- Track orders with real-time updates
- Proactive messaging for stalled checkouts (June 2026)
- Self-building agents from ticket history
- No-code workflow builder in plain English
- Multi-channel: Slack, Discord, Gmail, website widget
- Policy engine for guardrails and approvals
- Kill-switch to halt agents instantly
- Full trace logs for every agent run
- Test & simulation mode with ticket replay
- Agent management canvas for orchestration
- MCP gateway for connecting to any tool
- Knowledge mining from Confluence, Notion, Google Drive
About Duckie
Duckie is an agentic platform for support teams to build AI agents that actually resolve tickets, not just deflect them. The agents execute real actions in your systems—processing refunds, resetting passwords, updating accounts, and tracking orders—by integrating with tools like Stripe, Jira, Zendesk, and Slack. Duckie's self-building agents analyze your ticket history and documentation to mimic your best resolution patterns, going live in as little as two weeks with no engineering help. That speed is a key differentiator: most teams can have a working agent handling real tickets within a couple of sprints, not quarters. The platform supports a range of channels including Slack, Discord, Gmail, and a website widget, and since June 2026, Duckie's agents can also reach out proactively—resolving stalled checkouts, failed payments, and silent exits before customers even contact support. For governance, Duckie bakes in a policy engine that enforces rules on every agent run: redacting PII before any tool call, requiring human approval for refunds over $200, and blocking external domains until proven safe. A kill-switch lets you halt any agent instantly, and full trace logs give you visibility into every tool call. Customers report automating 70-95% of tickets end-to-end and cutting support costs by 60% or more. Duckie positions itself as an alternative to deflection chatbots and even to Zendesk for action-heavy support—it's built for fintech, SaaS, and other teams handling complex, multi-step tickets. If your support queue is full of tasks that touch backend systems, Duckie turns that workload into an AI agent you can manage in plain English.
Behind the Verdict
Duckie is built for support teams drowning in action-heavy tickets—refunds, password resets, plan changes—where customers expect resolution, not a bot that points to a help article. Its self-building agents learn from your ticket history, so setup is fast and doesn't require ML expertise. The policy engine is a standout: it redacts PII, requires human approval for refunds over $200, and blocks external domains, which matters for fintech and other regulated industries. The agent management canvas lets you orchestrate multiple agents (triage, investigation, resolution) in one place, and the test & simulation mode lets you replay real tickets to verify behavior before going live. The main weakness is pricing: it's not public, so you must talk to sales, and cloud-only deployment could be a dealbreaker for air-gapped orgs. If your team resolves tickets that touch backend systems, Duckie is a strong candidate; if you just need FAQ deflection, consider cheaper chatbot tools.
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Real-world workflow fit
Concrete scenarios for the personas Duckie actually fits — and what changes day-one when you adopt it.
Customers frequently request refunds and plan changes via email.
Outcome: Build a billing agent in plain English that connects to Stripe and Zendesk, resolving 80% of refund requests without human intervention, with policy approval for refunds over $200.
High volume of password reset and account update tickets across multiple channels.
Outcome: Deploy an account management agent that handles password resets and profile updates in Slack and Gmail, reducing ticket volume by 60% within the first month.
Customers abandon checkouts and complain about failed payments.
Outcome: Use proactive messaging from June 2026 to reach out to stalled checkouts, recover sales, and resolve payment issues before customers become support tickets.
Use Cases
- Automate refund processing after validating customer requests
- Reset passwords and verify accounts automatically
- Track orders and provide real-time shipping updates
- Update billing, profile, and subscription preferences
- Send invoices and payment reminders from support tickets
- Handle fraud checks and account verifications in real-time
- File Jira tickets for data discrepancies that look like system bugs
- Proactively reach out to resolve stalled checkouts or failed payments
Models Under the Hood
as of 2026-08-23
Limitations
- Duckie requires integration with existing support stacks and relies on ticket history for self-building agents.
- Effectiveness depends on connecting to the necessary data and action sources.
- Pricing is not publicly listed and requires a demo, and deployment is cloud-based only.
as of 2026-08-17
Verification history
We have re-verified Duckie 4 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Duckie's pricing actually pencils out — and where peers do it cheaper.
Duckie's pricing is enterprise-focused and contact-based, making it best for mid-market and enterprise teams with high ticket volumes and budget for automation. It's likely more expensive than chatbot-only tools like Intercom Fin, but cheaper than hiring additional support agents—customers report cutting support costs by 60%+.
Setup time & first value
How long it actually takes to get something useful out of Duckie — broken out by persona, not the marketing-page minute.
Duckie can go live in as little as two weeks. You'll need to connect your tools (Stripe, Zendesk, Slack) and provide ticket history for self-building. Non-technical teams can get help from the AI Implementation Engineer. Expect a few days for setup and testing in simulation mode.
Switching to or from Duckie
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Zendesk/Intercom: Export ticket history and connect via native integration; Duckie self-builds agents from your past resolutions.
- ↗To a custom solution: Export agent definitions and workflow logs from Duckie's trace history.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Featured Head-to-Head Comparisons
Duckie vs Presto Voice
Duckie and Presto Voice serve completely different markets: Duckie automates complex customer support tickets for SaaS/fintech, while Presto Voice automates drive-thru ordering for QSR chains. Choose Duckie if you need an AI agent that performs actions like refunds and account changes; choose Presto Voice if you run a drive-thru and want to boost order accuracy and upsell. Recent news shows Presto's momentum with Dairy Queen, reinforcing its QSR focus.
Duckie vs B Rokratt
Choose Duckie if you run a fintech/SaaS support team handling complex, action-heavy tickets and can invest in a paid solution. Choose Bürokratt if you are an Estonian resident needing free, secure access to government services. The two tools serve entirely different domains and are not direct competitors.
Duckie vs Truleo
Truleo and Duckie serve entirely different buyers: Truleo is purpose-built for law enforcement agencies to connect siloed data and generate leads, while Duckie is a customer support automation platform for businesses handling high-volume complex tickets. There is no overlap; your choice depends entirely on your sector and workflow needs.
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