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Answer a third of your tickets before a human wakes up.

A grounded AI agent reads each ticket, answers the routine ones from your own docs 24/7, and hands the tricky and sensitive ones to a human with full context. Press play.

🤖 ~30% auto-resolved 💸 ~$23k/yr saved 🌙 24/7 cover

Pick a scenario, press play

FIG · ai support agent
🤖 grounded · escalates the rest
A new support ticket arrives by email, chat, or form and enters the workflow. WEBHOOKNew Ticket A question comes in An AI step reads the ticket to understand the intent and detects tone — frustration or sensitivity routes straight to a human. AI AGENTUnderstand Read the intent Searches your own docs and knowledge base for a grounded answer — it never makes one up. CODESearch Docs Find the answer If the agent is confident it can resolve from the docs, it answers; otherwise it escalates to a human with a summary. IFCan Resolve? Solve or escalate Sends the grounded answer back to the customer instantly — or hands a routed escalation to a human with full context. HTTPReply / Resolve Answer instantly Logs the outcome so deflection is measured and the agent keeps improving over time. POSTGRESLog & Learn Track & improve

What the customer & team see

Press “Run the agent” to begin…

Activity log

Your numbers

What it's worth to your support team

Every routine ticket an agent answers is time your team gets back. Set your real volume — the numbers update live.

Median tier-1 deflection is ~41% (Zendesk 2026); we model a conservative 30%. Tier-1 tickets cost ~$8 fully loaded; AI resolutions ~$1–2.

$23,400

saved per year

3,600

tickets auto-resolved / year

6 wks

until it has paid for itself

Real-world shape: a team taking 1,000 tickets/month auto-resolved ~30% — about 300 a month — freeing its agents for the work that actually needs a human. (Illustrative; your pilot measures yours.)

Give your team back the repetitive half of the queue.

Give us one task — say, your most common ticket type — and we'll automate it free in a few days. If it clears the queue you just watched, we map the rest.

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