Without an agent
With an agent
01The bounced tickets
Off-script tickets bounce instead of closing.
Reassigned three times, still open, and the only trail is a thread nobody owns.
Your customers don't want a bot; they want an answer. We build support AI on your actual policies, your systems, and your tone. It resolves what it can prove and escalates the rest to your team with the context attached.
First response, refunds, account changes, escalations. Your macros cover the common ticket, your senior reps cover everything else, and someone still has to work out what the customer was actually promised.
Without an agent
With an agent
Reassigned three times, still open, and the only trail is a thread nobody owns.
The rule was never written down, so the outcome depends on the queue.
With AI in the mix
Every rep works from the same refund rule, and it is finally written down.
320 tickets reviewedSomeone reads two systems and the whole thread before anyone dares reply again.
With AI in the mix
Reply, ticket, and account read together, with the gap explained.
…and many more use cases
What we design and ship inside your operation, in whatever mix the work calls for. For many of these jobs, an agent is already built.
Any document you handle, turned into usable data.
Ready-made agentOrder entry from email→Multi-step work that runs start to finish.
Ready-made agentTicket triage and refunds→Faster calls, with the evidence already attached.
Ready-made agentReturns and warranty claims→Oversight that builds its own paper trail.
Ready-made agentConversation review→Reporting that renders from the source, not by hand.
Ready-made agentThe Friday report→Customer conversations handled in plain language.
Ready-made agentShared inbox triage→Each one starts from work we’ve already built for clients, then gets fitted to your systems and your rules, and it’s yours to keep. Live in 3 to 6 weeks, at a fixed price.
A SaaS team's account notes, product usage, tickets, and renewal pipeline lived in eight different places, and every escalation started with an hour of assembling the story. We built the single account view, the health scoring, and the lifecycle plays that carry the routine touches on their own.
Read the case studyYou already have response standards, refund limits, and promises your team is allowed to make. We build inside them. That shapes the work from day one, instead of becoming a checklist at the end.
Your approval chains and record-keeping rules go in from day one. If your policy says a person signs off, the system enforces it.
Our team has worked with personal data, SOC 2 requirements, and records a regulator can ask for. Yours won't be the first security review we've answered.
The code, the accounts, and the documentation are yours. Nothing to hand back at the end, and the architecture is your IP to use forever.
Some teams arrive with one process that's breaking. Others want to rebuild how the department runs. We meet you where you are.
A proven agent for one job, like ticket triage or conversation review, set up on your systems and your rules and live in 3 to 6 weeks. It runs in your own accounts, and your people approve what matters.
See the agents →A few weeks to map how the work really moves, audit your stack, your data, and your controls, and find where AI pays back. Delivered with a working prototype on your own files, before anyone commits to a build.
Learn about the Jumpstart →Your prototypes built into production software by a lean team that stays through launch, rollout, and your first audit on the new system. The code is yours, in your own accounts.
Learn about the Studio →