Support
Support for the product itself is not described on the homepage beyond booking a demo call and published customer case studies.
Duckie AI
Support agents that resolve tickets end to end
Intermediate API
What is Duckie AI?
Duckie AI is an AI chat bot tool. Duckie is an agentic platform for support teams: describe a workflow in plain English, connect tools like Zendesk and Stripe, and ship agents that resolve tickets, investigate issues and route escalations with policy guardrails and test simulation.
Duckie is an agentic platform built for customer support teams that want to move past canned chatbot replies and into agents that actually finish work. The pitch is direct: instead of deflecting tickets with a scripted assistant, support staff describe a workflow in plain English and Duckie turns it into an agent that plans, calls tools, verifies the result and sends a reply. The homepage shows a billing example where a customer asks to upgrade to a monthly Pro plan, and the agent updates the subscription in Stripe, prorates the difference and confirms within seconds. The builder is aimed at support engineers, product managers and team leads rather than dedicated developers. You point Duckie at your connected tools (it lists MCP, APIs and native integrations such as Zendesk, Stripe, Slack and Intercom) and write the logic as plain words. Workflows shown on the site go well beyond ticket deflection: branching cancellations across a members ledger, Jira tickets filed for data discrepancies, escalation and triage routing, backend investigation and customer analytics. A shared canvas lets teams orchestrate several agents, for example a triage agent handing off to investigation and resolution agents. Safety and control are the heavier part of the product story. There is a policy engine enforced across all agents, with rules like redacting PII before any tool call, requiring human approval for refunds over a set amount and blocking sends to external domains. Agents run in a sandbox until simulation shows a high match against replayed historical tickets. Teams can run modes in live, shadow or testing, halt any agent with a kill switch, scope permissions and read a full trace of every tool call. Among AI support tools, Duckie sits at the autonomous end: not a help-centre widget and not a copilot that drafts replies for humans, but a build-and-operate layer for agents that execute multi-step workflows. It assumes you have a support stack worth connecting and a team willing to write and test runbooks. Pricing is not published on the homepage, so buyers should expect a sales conversation.
How do you use Duckie AI?
1Book a walkthrough and see the agent in action
Start with the demo link to see a live example of an agent resolving a ticket across connected tools. Use this session to test whether your own support workflows match what the platform handles well.
2Read a customer case study for realistic expectations
The Grid case study shows how a team automated complex financial-services workflows, including branching cancellations and backend lookups, which helps set scope before you build.
3Connect your tools and describe the workflow
Point Duckie at your support stack (Zendesk, Stripe, Slack, Intercom and others) and write the desired behaviour in plain English. Connected tools become the actions the agent can call.4Test in simulation before going live
Replay historical tickets against the new agent and check the match rate. Keep it in sandboxed testing mode until the results look reliable.5Set policies and permissions
Add guardrail rules such as PII redaction, human approval thresholds for refunds and blocked external domains. Scope tool permissions and keep the kill switch ready.6Roll out gradually and review traces
Move the agent into shadow mode to compare its output against human handling, then shift to live and review tool-call traces for problems.
Pros and cons
Pros
- Agents execute real actions across connected tools rather than just drafting replies, so multi-step tasks like plan changes can complete end to endAI
- Workflows are written in plain English, which lowers the barrier for support staff who do not write codeAI
- Strong operational guardrails: policy engine, sandboxed testing, shadow mode, permission scoping, kill switch and full tool-call tracesAI
- Simulation against replayed historical tickets gives teams evidence before an agent is exposed to customersAI
- A single control plane and canvas keep multiple agents (triage, investigation, billing) visible and manageable in one placeAI
Cons
- No public pricing or plan tiers on the homepage, so cost evaluation requires booking a call with salesAI
- The plain-English builder is approachable, but designing safe production agents still requires the judgment of a support engineer rather than a casual userAI
- Value depends heavily on an existing support stack and clean knowledge base; teams without connected tools or documented runbooks will get less out of itAI
- Homepage testimonials describe major team reductions, but there are no published accuracy figures outside vendor case studiesAI
- Depth on model choice and orchestration is asserted, yet pricing, rate limits and self-hosting options are not disclosedAI
How much does Duckie AI cost?
Integrations
The homepage names MCP, general APIs and native integrations, with Zendesk, Stripe, Slack and Intercom shown in the product examples. No full integration directory is published on the homepage.
Features
Agents that plan, call tools, verify results and reply across Zendesk, Stripe, Slack, Intercom, MCP and APIs. Plain-English workflow building on one canvas, orchestration across triage, investigation, resolution and billing agents, choice of frontier models, centralized agent management, simulation on replayed tickets, live/shadow/testing modes, a policy engine with PII redaction and approval thresholds, permission scoping, a kill switch and full traces.
Frequently asked questions about Duckie AI
Does Duckie AI have an API?
Yes, Duckie AI offers an API.How do you use Duckie AI?
The walkthrough on this page covers 6 steps: 1. Book a walkthrough and see the agent in action 2. Read a customer case study for realistic expectations 3. Connect your tools and describe the workflow 4. Test in simulation before going live 5. Set policies and permissions 6. Roll out gradually and review traces.What platforms does Duckie AI support?
Duckie AI is available on Web App.What does Duckie AI integrate with?
The homepage names MCP, general APIs and native integrations, with Zendesk, Stripe, Slack and Intercom shown in the product examples. No full integration directory is published on the homepage.What are the limitations of Duckie AI?
No public pricing or plan tiers on the homepage, so cost evaluation requires booking a call with sales. The plain-English builder is approachable, but designing safe production agents still requires the judgment of a support engineer rather than a casual user. Value depends heavily on an existing support stack and clean knowledge base; teams without connected tools or documented runbooks will get less out of it.
Status
StatusActive
Views0
Outbound clicks0
Added10/21/2026
Platforms
Web App
Pricing
Paid
