Solutions
Customer Support Automation
For leaders whose support teams answer the same questions every day while the hard cases wait. We build AI into the helpdesk and channels you already run, grounded in your real information.
You're likely a fit if…
Your best agents spend their day on look-ups.
Order status, policy questions, how-to answers. The cases that need judgment wait behind them.
Answers depend on who picks up the ticket.
Knowledge lives in people's heads, old macros and a help center nobody trusts.
Volume grows faster than you can hire and train.
New staff take months to learn your products, and turnover resets the clock.
You tried a chatbot, and customers hated it.
It made things up, looped, or hid the way to a person.
What we build
Customer-facing support agents
On your website or help center, answering from your product documentation, policies and order data, and handing off to a person with the full context. Our current work for a manufacturer follows this shape: a website agent first, then agents for sales and technical support.
Learn more: Customer-facing support agentsAgent assist in your helpdesk
Drafted replies with their sources and ticket summaries. Your agent edits and sends. Questions it can't answer become draft help articles.
Triage and routing
Incoming tickets classified, tagged, prioritized and sent to the right team, with urgent or at-risk customers flagged.
Live order and account look-ups
Connections to your ERP, order system and CRM, so answers reflect current status instead of a script.
Scope
Included, and not
One channel and a defined set of question types first, connected to your helpdesk, tested on real past tickets, with handoff rules. Not included: replacing your helpdesk or staffing. Voice is scoped separately.
What we need from you
A support leader as owner, past tickets handled under your data rules, your knowledge base and policies, and agents willing to test drafts.
Customer data and actions
What the AI can see and say is agreed up front. Refunds, credits and account changes wait for a person's approval.
What drives cost
The number of channels and languages, how many systems it looks up, the state of your knowledge base, and how many actions need approval flows. Builds are scoped and priced after the assessment.
How we'd start
Start with an Assessment that maps your support work by question type: what AI handles well and what needs people.
Begin with agent assist or one well-documented question type, and baseline how it's handled today.
Test against real past tickets before any customer sees it.
Launch with clear handoff and review, and add question types as the answers hold up.
Hand the tests, knowledge-update routine and reporting to your support leader.
Common questions
Will customers know they're talking to AI?
They should. We recommend saying so plainly, with an easy route to a person. Your counsel can advise on any disclosure rules that apply to you.
What stops it from making things up?
It answers only from approved sources and shows them. It's tested on real tickets before launch, and when it isn't sure it says so and hands off.
Does this replace our support team?
It takes the repetitive look-ups so your people can handle the cases that need judgment. Staffing decisions stay yours.
How long does it take?
Agent assist or one channel is often S (1–3 weeks) or M (1–2 months). Several channels, languages and connected systems usually size as L (3–6 months).
Industries where this applies
Let's find where AI pays off in your business.
Thirty minutes with Daniel. No pitch deck: you talk about your business, I tell you honestly where AI fits and where it doesn't.