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.
Built for
Support teams
CX leaders
CS operations
Contact centers
Success teams
Learn more
The Challenge
The queue doesn’t break on volume. It breaks on these three.
First response, refunds, account changes, escalations. Your macros cover the common ticket, your senior agents cover everything else, and someone still has to work out what the customer was actually promised.
#48219 · charged twice after downgradeALMKDP+2 watching
ALTier one · Mon 09:14Plan change looks non-standard, sending this to billing.
MKBilling · Mon 11:02Charge is correct on our side. This is a policy call, back to support.
DPTier two · Tue 14:37so who owns this one?
CUCustomer · Wed 08:05Third time I’ve asked. Is anyone actually looking at this?
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.
02The refund calls
Every agent draws the refund line somewhere else.
The rule was never written down, so the outcome depends on the queue.
“Do we credit this one?”
Tier oneYes
Tier twoNo
This ticketWaiting
With AI in the mix
Every agent works from the same credit line, and it is finally written down.
320 tickets reviewed
03The promises made
What the customer was told isn’t on record.
Someone reads two systems and the whole thread before anyone dares reply again.
Ticket1,200
Account900Δ
Told them1,200
With AI in the mix
Now agreed1,200
Reply, ticket, and account read together, with the gap explained.
…and many more use cases
Capabilities
The AI our clients actually put to work
Not a product menu. These are the capabilities we design, prototype, and ship inside your operation, in whatever combination the work calls for.
Document & data extraction
Any document you handle, turned into usable data.
Attachments, forms, and screenshots read
Checked against your policies
Written to your systems
Agentic workflows
Multi-step work that runs start to finish.
Resolutions run end to end
Approvals where you require them
Escalations carry full context
Decision support
Faster calls, with the evidence already attached.
Suggested responses, sources attached
Account history surfaced up front
Judgment stays with your team
Risk, compliance & audit
Oversight that builds its own paper trail.
Every interaction QA'd, not sampled
Policy enforced in the workflow
Actor, time, and reason logged
Reporting & analytics
Reporting that renders from the source, not by hand.
Built from live queue data
Lineage on every number
Your team reviews, not rebuilds
Conversation & voice
Client conversations handled in plain language.
Phone, email, and chat
Your tone, not a script
Resolved or escalated cleanly
Your own operating platform
The interface your team has always dreamed of. It now costs less to build than to keep renting your way around it.
One view of every customer
No per-seat bill as you grow
AI inside the queue, not beside it
Most teams put three or four of these to work. A Jumpstart finds which ones earn their place, on your own files, before you commit to a build.
Case study
A success team, ahead of the queue
Customer success out of inboxes, onto one operating layer
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.
You 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.
We build to your rules
Your approval chains and record-keeping rules go in from day one. If your policy says a person signs off, the system enforces it.
Not our first rodeo
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.
You own everything we build
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.
Where to start
One workflow, one team, or the whole department
Some teams arrive with one process that's breaking. Others want to rebuild how the department runs. We meet you where you are.
Start here
AI Jumpstart
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.
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.
If they ask, yes. Nothing we build pretends to be a person. The system resolves what it can prove against your policies and your systems, and it hands the rest to your team cleanly, so the customer gets a right answer either way.
How do you get our tone right?
We build on your actual policies, your help content, and the responses your best people already send, and your team reviews it before anything ships. Tone isn't a setting we toggle at the end; it's part of the spec from day one. If a draft doesn't sound like you, it doesn't go out.
When does a human take over?
Whenever your escalation rules say so, and the rules are yours to write: refund size, account tier, a frustrated customer, anyone who asks for a person. The handoff carries the full context, what the customer said, what's been checked, and what the system did and why. Your team picks up mid-conversation instead of starting cold.
Can it really handle phone calls?
Yes. Phone, email, and chat, with full context from your systems and in your tone. Voice is held to the same standard as everything else: resolve what it can prove, and when a call needs a person, transfer it with the transcript and the account already attached.
What happens when it doesn't know the answer?
It says so and routes the conversation to a person. Guessing is not a feature we ship. Which questions the system can prove out, and which ones stay with your team, is exactly what a Jumpstart establishes on your own tickets before you commit to a build.