What's included
ticket deflection
in the first 90 days
What's included
The problem with support that never scales
Ticket volume grows faster than headcount. Support teams end up answering the same handful of questions all day while harder tickets sit in the queue.
We train a chatbot on your actual docs, past tickets, and product data, so it answers in your voice and hands off the rest with full context attached.
Deliverables
What's included
Strategy
Architectural alignment before implementation.
- Ticket volume & topic audit
- Success criteria definition
- Escalation path design
Build
Controlled deployment of automation infrastructure.
- Chatbot trained on docs & tickets
- Helpdesk integration
- QA against real ticket samples
Handoff
Operational enablement and system ownership transfer.
- Technical documentation
- Team training
- Escalation runbook
Support
Ongoing performance governance and system optimization.
- Response monitoring
- Retraining cycles
- Performance adjustments
How we work
A process built for results
Clear milestones, constant communication, and zero hand-waving. Here’s how we get from idea to impact.
Discovery & Success Criteria
We map your current workflows, identify bottlenecks, and define clear metrics for success.
Map Workflows + Data Access
We document every step, identify bottlenecks, and determine what data and systems need to connect. No surprises down the road.
Build + Test + Security Review
We build incrementally, test thoroughly, and review security at every stage. You see progress weekly and can give feedback early.
Launch + Monitor + Iterate
Go live confidently. We monitor performance, catch issues, and optimize based on data.
AI agents & internal tools examples
See what's possible
Real scenarios we’ve automated for teams like yours
Ticket Deflection
- Resolved in seconds, day or night.
Account Lookup
- No queue wait for simple asks.
Ticket Tagging & Routing
- Cleaner queues, faster response.
What clients say
FAQ
Common questions
Everything you need to know before we start working together.
What does the chatbot actually know?
It’s trained on your help docs, product data, and past resolved tickets, so it answers from what your team has already written and solved, not general knowledge.
Will it give wrong answers?
It’s scoped to answer only from your indexed content. When it doesn’t have a grounded answer, it escalates to a human instead of guessing.
Where does it live: our website, app, or helpdesk?
Wherever your customers already are. We deploy inside Intercom, Zendesk, your website widget, or all three, depending on your setup.
How much does a support chatbot cost?
A production chatbot trained on your docs commonly starts around $50,000 to build for a mid-market team, plus a monthly support retainer. Lighter deployments cost less.
How long does it take to launch?
A single chatbot use case can go live in 4 to 6 weeks. Broader deployments covering multiple products take longer.
What percentage of tickets can it actually resolve?
Deflection rates vary by ticket type, but teams typically see 40 to 60% of routine tickets resolved without a human, once the bot is tuned on real ticket history.
Does it hand off to a human cleanly?
Yes. Escalation rules are built around your team structure, so a complex ticket routes with full context instead of starting over.
Do we need to rewrite our docs first?
No. We work with what you have. If gaps show up during training, we’ll flag them, but a messy doc set isn’t a blocker to starting.