Pre-built agents for operators, built by operators. Each one has been run in a real business before it reached this page. Deploy inside your own stack — you keep the repo, the keys and the outputs.
Where's my order?
WISMO · live tracking
Refund — wrong size
Policy check · Shopify
Subscription pause
Save offer · Recharge
25,000 tickets a month, by hand. Now handled by agents trained on your tone and your edge cases. You keep the exceptions. The rest runs.
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No distorted logos. No wrong patterns. Agents trained on your brand and your offers — shipping the output you used to fix by hand at night.
Flows, follow-ups and segmentation across your existing stack (Klaviyo, Shopify). Nothing slips because one person didn't get to it.
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Data that lives in 8 places, in one owned view: Mission Control. You watch the operation run instead of reconstructing it afterwards.
Triage, resolution and escalation across every inbound channel.
On-brand creative, QA and localisation at volume.
Lifecycle flows, segmentation and win-back that never lapse.
One owned view of the business, rebuilt every morning.
Pipeline research, enrichment and outbound that reads like a human.
Reconciliation, margin control and anomaly detection.
Filter by department or type. Each spec names the systems it plugs into and the outcome we underwrite.
Reads every inbound ticket, classifies intent, urgency and sentiment, then routes to the right queue or agent with a drafted reply attached.
First-response time under 90 seconds, 24/7.
Pulls live carrier tracking, matches it to the order and answers “where is my order” with a real status and a real date — not a link.
Removes 38% of total ticket volume on day one.
Applies your actual returns policy — window, condition, exceptions — issues the label, and only escalates the genuine edge cases.
Policy-consistent decisions, zero goodwill leakage.
Intercepts cancellation intent, diagnoses the real reason, and offers the save path your finance team approved — pause, swap, or discount.
22–31% of cancellations saved.
Clusters every ticket, review and DM into recurring themes, quantifies the revenue at stake, and files the top five with owners each Monday.
Product issues surface in days, not quarters.
Watches sentiment mid-thread and hands off to a human the moment a conversation turns — with a full summary already written.
No angry customer waits behind an automation.
Answers in 27 languages in your brand register, with locale-correct shipping, tax and returns rules baked into every reply.
One support team covers every market.
Checks every asset before spend: logo integrity, safe zones, claim compliance, offer accuracy, aspect ratios per placement.
Zero distorted logos, zero wrong-price creative live.
Writes product pages from spec sheets and review data — benefit-led copy, structured attributes, and schema-ready bullet sets.
1,200 SKUs launched in a week, not a quarter.
The compliance layer every other content agent writes through. Tone, banned claims, legal disclaimers, tier-1 retailer rules.
Nothing leaves the building off-brand.
Scans tagged social, reviews and support threads for the exact sentences customers use, then feeds them to creative as hook candidates.
A weekly hook bank sourced from real language.
Ports a campaign into every market with local idiom, sizing, currency and compliance — not translation, adaptation.
Market launch cost down 70%.
Reads the live SERP, extracts the entities and questions that actually rank, and outputs a brief a writer can execute the same day.
Briefs in 6 minutes, ranked pages in 60 days.
Audits your lifecycle map, finds the gaps between welcome, abandoned and win-back, and builds the missing flows in your ESP.
Owned-channel revenue share up 8–14pts.
Recomputes RFM, category affinity and churn risk nightly, and keeps the segments in your ESP in sync without a human touching them.
Segments that are correct every morning.
Detects lapse at the point it happens per cohort — not a fixed 90 days — and triggers the offer with the highest expected margin.
Reactivation at 3.1× the flat-campaign baseline.
Recovers abandoned checkouts with the objection actually blocking the purchase — shipping cost, sizing doubt, payment method.
Recovered revenue up 41% vs. generic reminders.
Monitors domain reputation, complaint rate and inbox placement, and suppresses risky sends before they cost you the domain.
Inbox placement held above 96%.
Times the ask to actual delivery and product usage window, skips anyone with an open ticket, and routes detractors privately.
Review volume 2.4×, rating up 0.3.
One owned view that stitches Shopify, Meta, GA4, Klaviyo and Stripe into the numbers your leadership actually argues about.
Monday reporting drops from 6 hours to 0.
Builds contribution margin per SKU, per channel, per cohort — landed cost, returns, payment fees and shipping included.
True margin visible daily, not at month-end.
Learns the normal shape of every core metric and pings Slack with a diagnosis — not just an alert — when something breaks.
Broken checkout caught in 4 minutes, not 4 hours.
Forecasts sell-through per SKU per location with lead times and seasonality, then files the reorder list with your 3PL.
Stockouts down 46%, overstock down 23%.
Turns how your team actually works into written, versioned procedure — and answers process questions in Slack from it.
Onboarding time halved.
Takes the call recording, extracts decisions and owners, files tickets in your tracker, and follows up when they slip.
Decisions stop dying in the recording.
Researches each account like an SDR with unlimited time — tech stack, hiring signals, funding, recent launches — and writes the angle.
Reply rate 3.8× the templated baseline.
Deduplicates, enriches and re-scores your database continuously so pipeline reporting stops being fiction.
Data quality above 97%, permanently.
Qualifies every form fill against your ICP in seconds, books the call, and briefs the rep before they join.
Speed-to-lead under 60 seconds.
Assembles scoped proposals from the discovery call, your pricing rules and past won deals — ready for a rep to edit, not write.
Proposal turnaround: 2 days → 20 minutes.
Matches payouts, fees, refunds and chargebacks across gateways to the ledger, and flags only what genuinely doesn't tie.
Month-end close 4 days faster.
Assembles the evidence pack — delivery proof, comms history, policy shown at checkout — and files before the deadline.
Dispute win rate up from 21% to 58%.
Tracks every SaaS and media line against usage, catches auto-renewals and duplicate seats before they charge.
Recovered 6–9% of annual software spend.
Reads supplier invoices in any format, matches them to POs and receipts, and queues only genuine exceptions for a human.
AP processing cost down 71%.
Fourteen days from signed spec to production for a first agent. Days 0–3 are the audit, days 4–7 the spec and eval set, days 8–14 the build, shadow run and launch. Complex retrieval or bespoke integrations can add a week — we tell you that before you sign, not after.
You do. Full ownership of the repository, the infrastructure, the prompts, the eval sets and the documentation. Everything runs in your cloud accounts under your API keys. If you end the engagement tomorrow, the agents keep running and your team can maintain them.
Whichever wins the eval for that specific task. We route per step — a cheap fast model for classification, a frontier model for anything customer-facing or judgement-heavy — and re-benchmark quarterly. You are never locked to a single provider, and switching costs you a config change rather than a rebuild.
Three things. Retrieval grounded in your own systems, so answers are drawn from live order and policy data rather than model memory. Hard decision boundaries, so the agent can only take actions on an allow-list. And a confidence threshold that hands off to a human with a written summary rather than guessing.
It replaces the part of their week that they hate. In every deployment we've run, headcount held and the work changed: support leads move onto retention and product feedback, marketers move from asset QA onto strategy. We'll tell you honestly during the audit if a role is genuinely at risk.
A fixed fee per agent, scoped after the audit, plus an optional monthly run-and-improve retainer. The audit itself is a flat €2,500 and is credited in full against the first build. No per-seat licence, no percentage of savings.
Everything runs inside your infrastructure and your data never trains a third-party model. We work under a DPA, apply data minimisation at the retrieval layer, log every agent action for audit, and can deploy fully within the EU. Our own operation is ISO 27001 aligned and SOC 2 Type II is in progress.
The spec names the metric and the threshold before we build. If a launched agent misses its threshold at the 30-day review, we fix it at our cost until it clears or we refund the build fee. That's why the audit exists — we only take work we're confident we can hit.