Service / Support
70 percent of tickets, handled.
An AI support agent that resolves 70%+ of tickets automatically across email, chat, and social — and hands the rest to your team with full context. Backlogs shrink, response times drop to seconds, and after-hours customers stop waiting until morning.
— CLAUDE · GPT · ZENDESK · INTERCOM
What it looks like running.
Not a dashboard login we control —
an instance you own.
AI Customer Support — an assistant that answers, qualifies, and books — trained on your content.
70%+
TICKETS RESOLVED AUTOMATICALLY
<60S
FIRST RESPONSE, ANY HOUR
24/7
COVERAGE WITHOUT SHIFT STAFFING
What you get
What's in the build
One-time fee. Documented. Owned by you.
Omnichannel Support
01Email, chat, social, and voice handled consistently by one agent — same answers, same tone, every channel.
70%+ Auto-Resolution
02Most requests resolved without human intervention — not 30 percent, not 50. Returns processed, accounts updated, questions answered.
Smart Human Handoff
03Not replacing your team — augmenting it. Complex issues route to humans with full conversation context, so customers never repeat themselves.
Knowledge Base Learning
04Trained on your docs, FAQs, and historical tickets — and it keeps learning from every interaction and correction.
Customer Health Scoring
05Sentiment analysis flags at-risk customers before they churn, turning support data into retention signals.
CSAT Measurement
06Automated satisfaction surveys measure both AI and human performance, so quality is tracked instead of assumed.
Use cases
Where it earns its keep
E-Commerce
01Order status, returns, exchanges, and shipping questions — the 70 percent of ticket volume that follows patterns — resolved instantly.
SaaS
02How-to questions, account changes, and billing queries answered from your docs, with bugs escalated to engineers with full repro context.
After-Hours Coverage
03Nights, weekends, and holidays covered without shift staffing. Customers in other time zones stop waiting for your morning.
Seasonal Spikes
04Holiday or launch-week ticket surges absorbed without temporary hires — volume scales, quality doesn't move.
Five phases. Thirty days to live.
Our process →01
Discover
Ops audit, process maps, ROI ranking.
02
Design
Architecture and tool picks — approved first.
03
Build
Constructed and tested against every edge case.
04
Launch
Deployment, training, real adoption.
05
Optimize
Monitoring, monthly reports, new wins.
Questions
AI Customer Support — FAQ
Will customers be stuck arguing with a bot?
No. The agent resolves what it can resolve confidently and escalates everything else to your team with full context. Customers with complex or sensitive issues reach a human faster, because routine volume no longer clogs the queue.
Is 70 percent auto-resolution realistic?
Yes, for businesses with a solid knowledge base — most ticket volume follows patterns. Systems typically start near 50 percent and climb past 70 as the agent learns from your docs, past tickets, and corrections.
Does it replace our support team?
It replaces the repetitive 70 percent of their workload. Your team moves up-stack to complex cases, escalations, and proactive retention — work that actually needs human judgment.
What does it cost compared to staffing?
A support agent costs $40K+ a year per seat. The AI system is a one-time build — typically $7,500 — with model costs of $30 to $150 a month, handling volume that would take multiple seats. Break-even usually lands around week 10.
How does it integrate with our help desk?
It works inside Zendesk, Intercom, Freshdesk, or your existing stack — reading, resolving, tagging, and escalating tickets there rather than replacing your tooling. Live in 30 days for most builds.
Keep exploring
Related services
Prove the math
Where we go from here
Start with a call.
Thirty minutes, no pitch deck. We map your operations, find the friction, and show you where automation actually earns its keep. If there's no fit, we'll say so.
No subscription.
No lock-in.
No surprise invoices.