Customer-facing agents answer questions, deflect tickets, qualify leads, and handle account requests — at scale, 24/7. Not chatbots. Real agents that read your knowledge, take actions in your systems, and escalate when the stakes are high. We design them, build them, and run them in production.
Trusted by teams building and running mission-critical platforms


Inbound volume keeps growing. Hiring doesn't scale, outsourcing trades latency for cost, and traditional chatbots break the moment a question goes off-script. Most teams settle for a deflection rate that barely moves the headcount needle.
Our approach combines product thinking, engineering discipline, and operational rigor to deliver customer-facing agents that work in production — not in a slide deck.
We map every inbound channel — chat, email, support portal, in-product — and the question types that come through each.
We design the agent's domain: what it can answer, what it can act on, where it escalates. Brand voice and tone calibrated to your audience.
We build the agent integrated with your CRM, helpdesk, and product. It logs every conversation, hands off cleanly to humans, and learns from human edits.
Once in production, we monitor deflection rate, satisfaction, and escalation patterns. We expand the agent's surface as accuracy data accumulates.
Numbers from real engagements, not marketing decks.
Typical share of inbound the agent handles end-to-end without a human assist
tickets deflected
Average time from inbound to resolved or routed to the right human
response time
Agents handle inbound across timezones, holidays, and overnight
always available
Production-grade capabilities, designed for enterprise systems and operational scale.
Email, chat, in-product, support portal — one agent across every inbound surface.
Agents don't just answer. They reset passwords, update account info, generate quotes, schedule meetings — in your systems.
Every response sounds like your team. Tone, formality, and vocabulary tuned to your brand.
When the agent escalates, the human picks up with full conversation context. No "please describe your issue again."
Agents detect frustration, urgency, and churn risk — and escalate or route accordingly.
Human edits and corrections train the next response. The agent's surface grows from real data, not assumptions.
Most customer-facing agents engagements start with strategy, move through engineering, and end up in operations. Pick where you are.
You know AI agents are the move. You don't know which workflows to target first. We run sprints against your real data and tell you exactly where agents will deliver.
View engagementChatbots answer questions. Agents reason through problems, call APIs, update systems, and handle the task end-to-end. We design multi-agent systems with guardrails, escalation paths, and human oversight built in.
View engagementYour agents are guessing because they don't have context. We build the knowledge and retrieval layer that gives them access to your docs, your data, and your terminology.
View engagement
Tell us what you want an agent to own. We'll help you scope where it acts, where humans stay in the loop, and how to ship it to production.
Schedule a discovery call