Alfredium reads the whole ticket, pulls in your own knowledge, and writes a finished reply in seconds — in the customer's language, from the right address. Run it on auto — it sends on its own — or semi-auto, where you approve every reply before it goes out. Your call.
brands running on Alfredium
drafting, monitoring & nightly quality review
native languages, all others supported automatically
of replies built from your own knowledge, not generic AI
No generic AI output. Alfredium writes the way your team would, grounded in your own knowledge — inside the helpdesk you already run.
Reads your Freshdesk or Gorgias queue automatically and takes the whole thread — customer history, past replies, internal notes — not just the first message.
Searches your knowledge base and past replies, and follows your rules — returns, warranty, pricing. It doesn't guess; it looks things up, and knows what's already been done.
A finished, human-sounding reply appears. On auto it goes straight out; on semi-auto it waits for you to read, adjust and click send. Either way it leaves in the right language, from the right address, and the ticket closes.
We invented Nordfjell, a shoe brand, and onboarded it exactly the way we onboard a real client — catalogue, prices, policies. Ask it anything a customer would, in any language.
Plugs into your existing helpdesk, CRM or inbox — Gorgias, Freshdesk and more. Pulls the case, sends the reply, closes the ticket, right in your system.
Linked to your knowledge base and past tickets, so answers are grounded in your facts — not guesswork.
A binding playbook per client: returns, warranty, discounts, out-of-stock. It applies them on every ticket.
Replies in the customer's language automatically — and sends from the right address for each brand.
Every reply you approve makes the next one better. A log shows what you changed, so it keeps improving.
Hard or sensitive case? One click rewrites the draft to a higher standard before you send.
Real numbers from live operations. Client names are withheld under confidentiality — the figures are not.
Went from a founder answering every email by hand to a queue that clears itself, on a flat monthly fee.
Around 300 customer emails a month were being answered by hand. Alfredium now handles the routine end to end, with four short check-ins a day for the edge cases the owner still wants to see. Flat monthly fee, not an hourly rate — the angle is simple: you keep the exceptions, we take the rest.
A desk run on Alfredium out-produced the in-house team it worked alongside, at 4.68 CSAT.
Thirteen noise filters, retrieval over the brand's own past cases and a nightly review cycle. 5,700+ tickets in a year — 37% of everything the team handled, and 42.78% of total output at 4.68 CSAT. Share of team volume is the honest metric: it is measured against colleagues working the same queue, so it cannot be inflated.
Technical hardware support at volume — usually a trade-off, here it was both.
5,400+ tickets in a year, 39% of the whole team's volume, on technical support for connected fitness hardware — while also leading four agents. Integrated shipment tracking, reply caching and automatic reporting into Slack.
Their own support history turned out to be the asset. We turned it into the system.
11,497 historical tickets were embedded so every reply matches how the operator had actually handled cases before. A 1,500-case backlog was cleared in under 48 hours, alongside SMS and email sequences for outstanding claims, structured case prioritisation and payment reconciliation.
We don't publish client names or logos — the same confidentiality applies to you. Ask on a demo call and we'll walk you through a case in detail.
Alfredium runs on retrieval-augmented generation. Before it writes a single word, it searches your knowledge base, your past replies and the rules you set — then builds the answer on those facts.
Auto: Alfredium reads, drafts and sends the reply on its own. Nothing waits for you. Best for high-volume, routine inboxes.
Semi-auto: Alfredium drafts every reply and waits. You read it, adjust if needed, and click send. Nothing goes out without your OK.
Set it per inbox. Switch anytime.
Names, email and phone are pseudonymised before anything is stored for improvement.
API keys stay on the server and data isn't stored unnecessarily. Password + 2FA on the workspace.
Monitored and hardened. We see if something stops — before you do.
Pick the plan that fits your volume — full setup included, scale up whenever you're ready.
“The goal was to go from being burnt out by customer service to actually being in control. Alfredium clears the routine — hundreds of identical cases — so we can put people where it matters.”
We've spent years deep in real customer service for online brands, and built Alfredium to solve our own problem: drowning in repetitive tickets. Today it runs for 20+ brands. We set it up, tune it to your business, and keep it running.
We set up Alfredium for your helpdesk, feed in your knowledge, and you see finished replies on your own cases — usually within a few days.
Prefer email? post@midellconsulting.no