Twig AI
Twig is an AI-powered tool designed to help users quickly and easily find the answers they need from technical documentation without having...
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What is Twig AI?
Twig.so is an AI‑powered autonomous support platform that deploys AI agents to handle Tier 1 customer support tickets end‑to‑end across SaaS, fintech, and e‑commerce businesses. The agents read your documentation, knowledge bases, and past tickets, then triage, self‑evaluate, and resolve simple queries without human intervention, while automatically escalating more complex issues to your team. It integrates natively with dozens of tools such as Zendesk, HelpScout, Confluence, and Jira, so tickets never leave your existing workflow.
Twig’s platform is built around autonomous agents that can answer questions, look up user data, execute actions (like refunds or configuration changes), and provide citations from internal sources. Each agent follows a decision flow—understanding intent, matching to a scenario, checking configuration, generating a response, and self‑evaluating confidence—before sending a reply. This reduces first‑response time from hours to seconds and significantly lowers the number of tickets support agents must manually handle.
The product is tailored for B2B SaaS, fintech, and e‑commerce teams that want to cut support costs, scale through seasonal spikes, and maintain 24/7 availability without constantly hiring more agents. It targets support agents who want an AI copilot to draft or fully resolve routine tickets, CX leaders who need analytics on autonomous resolution rates and savings, and end users who expect instant, accurate answers instead of waiting in a queue. The platform is SOC 2 Type II certified and emphasizes security, ease of setup, and rapid integration into existing stacks.
Key capabilities include 30+ native data and ticketing integrations, an AI brain fine‑tuned for technical support, automatic citation of internal sources, and built‑in quality checks that ensure answers meet your standards before sending. Agents can handle common scenarios such as billing disputes, account configuration, onboarding questions, and triage, while surfacing data from your docs, tickets, and SOPs in seconds. The platform is designed to complement human agents rather than replace them entirely, off‑loading repetitive work so teams can focus on complex, high‑value conversations that drive retention and satisfaction.
Twig also offers a self‑serve agent editor and configurator, letting teams define which ticket types each agent can handle, what actions it can take, and which policies or playbooks it should follow. This makes it suitable for companies that want to standardize responses, enforce tone and style, and maintain consistency across thousands of interactions. The solution is marketed as a way to reduce ticket volume by up to 70%, cut support labor costs by around 40%, and improve first‑response time by 80–90%, all while running on top of existing support infrastructure instead of replacing it.
Twig AI pricing
Pricing model: Free
Twig offers a free plan that includes 100 AI answers per month with no credit card required and SOC 2 Type II certification even at the free tier. Paid plans are usage‑based, starting at 0 and scaling with the number of tickets or AI answers processed, with published pricing around 5 dollars per ticket for higher volumes. The paid tiers include full access to 30+ integrations, autonomous ticket resolution, agent configuration, built‑in quality checks, and analytics, and the platform positions itself as significantly cheaper than competing AI support suites that often start at 95k dollars per year.
Twig AI pros
- Autonomous resolution of Tier 1 tickets without human touch
- Very fast first responses (often in seconds instead of hours)
- Built‑in self‑evaluation and confidence scoring for each response
- Native integrations with 30+ tools including Zendesk, HelpScout, Confluence, Jira
- Reduces manual ticket volume by up to 70% for support teams
- 40% lower support labor costs per ticket on average
- 24/7 availability with no holidays or shifts
- SOC 2 Type II security and compliance built in
- Handles actions like refunds, configuration changes, and data lookups
- Cites internal sources (docs, tickets, SOPs) for factual answers
- Easy setup in under 30 minutes, no heavy IT involvement
- Scales to handle seasonal spikes and growth without hiring more agents
- Agent editor lets you define scenarios, policies, and actions granularly
- Automatic escalation to human agents when AI confidence is low
- Analytics dashboard for autonomous resolution rates and savings
Twig AI cons
- Primarily optimised for B2B and technical support, less tailored for purely consumer‑facing brands
- Heavily reliant on quality internal documentation and SOPs
- Complex or nuanced policy questions may still require human review
- Customization depth depends on how much you want to configure each agent
- May require upfront effort to map common ticket scenarios and actions
- Pricing based on volume can add up for very high‑ticket‑volume teams
- Limited visibility into fine‑grained per‑ticket behavior for non‑technical users
- Some advanced workflows may still need integration support or consulting
Frequently asked questions about Twig AI
What does Twig actually do inside my support stack?
Twig deploys autonomous AI agents that connect to your existing ticketing and knowledge tools, read your documentation and past tickets, and then automatically triage, respond to, or resolve Tier 1 customer inquiries. Agents can answer questions, look up user data, execute actions like refunds or configuration changes, and escalate only when confidence is low, all without moving tickets or data out of your current systems. These agents follow a decision flow that includes understanding the user’s intent, matching the ticket to a known scenario, checking configured policies, generating a draft response, self‑evaluating quality, and then sending the answer or escalating to a human. This means common issues such as billing disputes, account setup questions, or basic product guidance can be handled end‑to‑end by AI, while your team stays inside tools like Zendesk or HelpScout and focuses on more complex cases.
Which support tools and platforms does Twig integrate with?
Twig integrates natively with over 30 platforms commonly used by support and product teams, including Zendesk, HelpScout, Confluence, Jira, and many other ticketing, documentation, and CRM systems. The platform is designed to plug into your existing stack rather than replace it, so tickets, customers, and workflows stay where they already are while AI agents ingest data and return responses within those same tools. In addition to ticketing and docs, Twig supports data connectors that handle authentication, retries, and lookback windows, allowing it to regularly sync and re‑ingest your internal knowledge. This ensures that agents always draw from the latest versions of policies, playbooks, and historical tickets, whether they live in your helpdesk, wiki, or internal wikis and databases.
How does Twig ensure answers are accurate and safe?
Twig ensures accuracy by combining context from your documentation, tickets, and SOPs with a fine‑tuned AI model specifically trained for technical support scenarios. Before sending any response, the agent evaluates its own confidence and checks against configured quality rules, only sending the answer if it meets internal standards or escalating to a human if confidence is too low. Answers are also sourced from trusted internal materials and often include citations so both customers and agents can see where the information came from. This citation‑based approach, combined with scenario‑specific policies and restriction rules, helps prevent hallucinations and keeps responses aligned with your brand voice and compliance requirements.
Who is Twig best suited for?
Twig is best suited for B2B SaaS, fintech, and e‑commerce companies that receive a high volume of repetitive, Tier 1 support requests and want to reduce headcount growth while maintaining high‑quality service. It is particularly valuable for product‑led or growth‑driven teams that need fast, accurate answers but cannot staff 24/7 human support. The platform serves three main personas: end users who want instant answers without waiting in queues, support agents who want an AI copilot to draft or fully resolve routine tickets, and CX or product leaders who want to track metrics such as autonomous resolution rate, response time, and cost savings. It is less appropriate for teams that have almost no written documentation or rely heavily on ad‑hoc, unstructured support workflows.
How quickly can I set up Twig on my existing stack?
Twig is designed to go live in under 30 minutes by connecting your existing ticketing and knowledge tools and ingesting your documentation and past tickets automatically. You create API keys or connections in your support platforms, grant Twig access, and then configure which agents should handle which ticket types and actions, without needing deep engineering work. The platform handles the rest of the onboarding flow by analyzing your docs, tickets, and SOPs, creating an initial set of scenarios and policies, and letting you refine behavior through the agent editor. Within this short setup window you can already see AI agents drafting or resolving simple tickets, and then gradually expand their scope as you tune quality and confidence thresholds.
What kinds of tickets can Twig resolve autonomously?
Twig can autonomously resolve common Tier 1 tickets such as billing disputes, duplicate charges, account setup guidance, basic configuration questions, and standard onboarding issues that map to defined scenarios and policies. For example, an agent can pull up a user’s billing history, confirm a duplicate charge, initiate a refund, and notify the customer—all within seconds and without human intervention. The platform is also effective at triage: routing tickets to the right internal team or escalation path, drafting initial responses for agents to review, or flagging tickets that require policy or legal review. More complex or edge‑case tickets that fall outside configured scenarios or require nuanced judgment are automatically escalated to human agents with suggested next steps.
How does pricing work and what does the free plan include?
Twig’s pricing is usage‑based, starting at zero dollars under a free plan that includes 100 AI answers per month with no credit card required. This free tier still includes SOC 2 Type II compliance and access to core AI agents that can answer and triage tickets. Paid plans scale with the number of tickets or AI answers processed, with a published rate around 5 dollars per ticket for higher volumes. As you move to paid tiers, you unlock full access to 30+ integrations, advanced agent configuration, analytics on autonomous resolution rates and savings, and enhanced security and support features, all while avoiding the high upfront annual commitments typical of other enterprise AI support suites.
How does Twig handle data security and compliance?
Twig is SOC 2 Type II certified, meaning it meets stringent standards for data security, availability, and confidentiality in how it ingests, stores, and processes customer information. The platform is built to read and act on your internal data without permanently storing sensitive information in ways that violate compliance frameworks. Agents operate within the boundaries you define via policies and role‑based permissions, and the system supports common enterprise security practices such as single‑sign‑on, role‑based access control, and audit‑ready logs of agent behavior. This makes it suitable for regulated industries that need to balance automation with strong governance and privacy controls.
Can I customize the tone and behavior of Twig agents?
Yes; Twig provides an agent editor and configuration layer where you can define which ticket types each agent handles, what actions it can take, and which internal policies or playbooks it should follow. You can also customize language style, response templates, and escalation rules so agents match your brand voice and internal workflows. Teams can also tune confidence thresholds, decide when answers should be sent automatically or require human review, and add or remove specific scenarios over time. This allows support leadership to enforce consistency across thousands of interactions while still letting agents adapt to new patterns of customer questions as they emerge.
What metrics and insights does Twig provide for CX leaders?
Twig exposes metrics such as autonomous resolution rate, first‑response time, ticket volume reduction, and estimated support cost savings, giving CX leaders visibility into how much work is being offloaded to AI. You can see how many tickets are fully resolved by agents, how many are escalated, and how agent confidence and quality evolve over time. The platform also tracks which scenarios and ticket types are most frequently handled autonomously, which ones still require human review, and how performance changes as you refine policies and knowledge. These insights help leaders prioritize documentation improvements, retrain agents, and plan headcount or budget more accurately based on the real impact of autonomous support.