AI customer service for SaaS companies

SaaS support has a recognizable shape. A small set of feature questions, a pile of "how do I" questions, account/billing issues, and a smaller set of real bugs and edge cases. The first two buckets are mostly your docs.

What Trigli does for a SaaS company

You connect a Gmail address (typically your support@ alias forwarded to a Gmail account, or a Google Workspace inbox directly). You upload your help docs, FAQ articles, onboarding emails, and any feature explainers. From there:

• Trigli classifies incoming emails (how-to, billing, bug report, feature request, account issue, other).
• It drafts replies grounded in your docs. The wording matches your past sent emails so it sounds like your team.
• Confidence routing: high-confidence replies can auto-send. Lower-confidence drafts wait for your team. Below the floor, the email becomes a ticket and a human takes it from there.
• Bug reports and feature requests get flagged automatically as tickets so they do not auto-close. Your team handles those manually.

The categories Trigli handles well in SaaS

• "How do I do X?" Where X is documented. The AI quotes the relevant section and links to the doc article (if it has one).
• "How do I cancel / change my plan / update billing?" If your billing policy doc covers this, the AI answers directly. Stripe-managed billing flows usually have a self-serve link, which the AI knows to surface.
• "How do I invite a teammate / change permissions / reset 2FA?" Covered if your help center has the steps.
• "What is the difference between plan A and plan B?" The AI references your pricing page and any feature comparison content you upload.
• "Why am I getting [non-bug error]?" Often "you hit a usage limit" or "your trial expired". The AI explains and points to the right action.

The categories Trigli routes to a human

• Bug reports. Anything that mentions "broken", "not working", "error", "crash", "blank screen". Confidence routing combined with classification flags these as tickets, not auto-replies.
• Feature requests. The AI does not commit to roadmap on your behalf. These become tickets with the customer's context attached so a human can respond appropriately.
• Refund requests outside policy. The AI explains the policy. Anything that requires judgment goes to your team.
• Anything where the customer sounds upset. We have heuristics for sentiment-flagged escalation. Better to over-escalate than send an AI reply to someone who is mid-churn.

Live chat for your app

Bundled in the plan: an embeddable chat widget. You can put it in your marketing site, your in-app help section, or both. The AI answers from the same docs as email. If a visitor needs a real human, the widget escalates to a live agent or captures their email if no one is online.

For a small SaaS, the chat widget often becomes the first line of defense for "where do I find X" questions, which keeps your support inbox lighter.

The "we are too early to hire CX" problem

You are at the stage where:

• Founders or engineers are still answering support tickets at night.
• Hiring a real CX person is $4-6K/month all-in (US) plus management overhead.
• A chatbot would embarrass you because half your customers are paying for a sophisticated product and you are not going to greet them with "I am a bot, please rephrase your question".

Trigli is the in-between. Around $149-349/month flat. Drafts replies that sound like your team because they are based on your team's own past emails. Escalates the real problems to a human. Your engineers stop being on tier-1 support.

How the docs piece works

You probably have help articles in Notion, Intercom Articles, HelpScout Docs, or a Markdown repo. Trigli does not need a specific format. You can:

• Upload PDFs.
• Paste in raw text.
• Drop in a list of URLs to scrape (we pull the article content via fetch + parsing).
• Connect a Notion workspace or import from Markdown if your docs live in a repo.

The AI uses these documents as the only source for answers. If something is not in the docs and not derivable from past replies, the AI flags low confidence and routes to a human instead of guessing.

Knowledge gap analysis

Side benefit of running this on real support volume: Trigli tells you what your docs are missing. Every low-confidence reply gets bucketed by topic. After a couple weeks you have a ranked list of "topics where AI keeps saying I do not know enough". That is your help-center content roadmap, written by your customers.

How to set it up

1. Sign up at trigli.com (free, no card).
2. Connect your Gmail (Google Workspace works fine).
3. Upload or paste your top 10-20 help articles. Start with the ones that drive the most repetitive tickets.
4. Test on a few real emails in draft-only mode. See how the model uses your docs.
5. Once the drafts look good, raise the auto-send threshold for the high-confidence categories. Bug reports and edge cases stay in human-review forever.

When Trigli is not the right fit for SaaS

• You have a 10+ person CX team that needs real ticketing workflow (queues, assignments, internal note threads, per-agent reporting). Look at Zendesk or HelpScout.
• Your support runs through Slack Connect or Discord and not email. We do email and embeddable chat.
• Your customers expect human-only support and will be unhappy with an AI even if it is good. Some enterprise contracts have this expectation in writing.