Customer support automation that resolves tickets, and routes the rest to the right human.
We automate the whole support function, not just a chat box: deflect the repetitive questions, triage and route what’s left, draft replies for your agents, and escalate the hard cases with full context. Wired into your real helpdesk and systems, evaluated before launch. The team behind 80% ticket auto-resolution in 30 days.
Serving SaaS teams, agencies, and growing businesses across the USA, Canada, and UK. Live in weeks, not quarters.
Automate the whole support function, not just a chat box.
Ticket deflection & self-service
Resolve the repetitive tier-1 questions (order status, account, billing, how-to) automatically and accurately, grounded in your real knowledge base.
Triage, tagging & routing
Classify intent, sentiment, and urgency on every ticket and route it to the right queue, agent, or sequence, in under a second, not after it sits.
Agent assist
Draft on-brand replies, summarize long threads, and surface the right knowledge so your agents resolve faster instead of starting cold.
Escalation with full context
When a case needs a human, it arrives with the transcript, account state, sentiment, and what the system already tried, no repetition, no cold start.
Grounded, evaluated, and safe to ship.
Discover
We pull your last few months of tickets, find the automatable share and the never-automate list, and define what "resolved" means, with a roadmap and realistic estimate.
Build
A working system early, grounded in your data, integrated with your helpdesk, evaluated in shadow mode before a customer sees it.
Deploy and grow
Soak, monitor, tune, then ongoing improvement or a clean handover. Typical launch: 2-6 weeks.
Built for teams with real volume.
- →SaaS teams whose ticket volume is outpacing headcount
- →Support leaders drowning in repetitive tier-1 questions
- →Agencies adding support-automation delivery for clients
- →Operations leaders who need consistent, fast resolution without linear hiring
Wired into your helpdesk and CRM.
We pick the model that fits the job, GPT, Claude, or Gemini, and build retrieval over your knowledge, intent and sentiment classification, routing logic, agent-assist drafting, an evaluation harness, monitoring, and confidence-based escalation, integrated with Zendesk, Intercom, Freshdesk, HubSpot, Salesforce, Slack, and your own APIs.
Proof from production.
tickets auto-resolved within 30 days
Daytronx, SaaSweekly conversations at sub-second latency
Phobiaactivation via conversational onboarding
WhatNextAIqualified leads/month
FamilyFundRelated field notes and proof.
What to automate first in support
The order that works, tier-1 deflection, triage, agent assist, and what to never automate.
The 80% auto-resolution playbook
How a production support build went from drowning in tickets to 80% auto-resolution in 30 days.
AI chatbot development
The deflection layer on its own, production support and sales chatbots wired into your systems.