Support queues grow faster than support teams. The same twenty questions arrive every day in slightly
different words, the answer to "where is my order" lives in a different system from the ticket, the
knowledge base was last updated when the product looked different, and the one person who knows the
refund policy is on holiday.
The Customer Support Supercube installs a support operation where the agents do the looking-up, the
drafting and the sorting, and people do the conversations. It seeds tables for customers, tickets,
messages, knowledge articles, macros, products and known issues, returns and satisfaction. It declares
agents that triage every incoming ticket, draft a reply grounded in the knowledge base and the customer's
own records from the other supercubes, answer the routine cases outright where the company allows it,
escalate the rest with context attached, keep the knowledge base current from resolved tickets, and review
a sample of conversations for quality. It publishes apps for the queue, the customer view, the knowledge
base and the quality dashboard.
After installation, a customer emails to ask where their order is. The Triage agent identifies the
customer, finds the order in the Supply Chain Supercube, sees the parcel is delayed by the carrier, drafts a
reply with the tracking link and the new date, and, because the company allows auto-reply on order status,
sends it and closes the ticket. The next email is a complaint about a damaged item; the Triage agent
classifies it, pulls the order and the photos, drafts a reply offering the replacement the policy allows,
and puts it in front of a person with everything they need. That person spends their time on the
complaint, not on finding the order.
Any company that answers customers, from a founder answering a shared inbox to a support team of twenty.
Roles that use it are support agents (the human kind), the support lead, product and engineering people
who receive escalations, and operations staff who process returns.
Drafted replies from the knowledge base and customer records; auto-replies where permitted
Claude Code, then pi
Knowledge Curator
general
Articles, macros, gaps found from tickets, retirements when the product changes
Claude Code
Escalation Coordinator
general
Bugs and product issues to engineering; known-issue tracking; customer updates when fixed
Claude Code, then Hermes
Quality Reviewer
analyst
Sampled conversation review, satisfaction trends, first-contact resolution, the weekly report
Claude Code
The Agents page as it runs today. The Triage, Responder, Knowledge Curator and Quality Reviewer would be declared here, with a Data access level like any other agent; the suite itself is planned.
Channels. Email through Gmail or Outlook shared mailboxes; chat and WhatsApp Business; a help
desk such as Zendesk, Freshdesk, Intercom or Help Scout if one is already in use, mirrored two-way.
Customer records. Orders and shipments from the Supply Chain Supercube; invoices and payments from
Finance; deals and account owner from Sales; subscription status from Stripe.
Product. Bug trackers such as Jira or Linear for escalations and fix status; release notes for the
Knowledge Curator.
Queue. Tickets by priority and status with the Triage summary and the Responder's draft ready to edit and send. Used by support staff.
Customer view. One customer's tickets, orders, invoices, subscription and notes in one page. Used by support staff.
Knowledge base. Searchable articles, with a public and an internal audience per article. Used by staff and, published, by customers.
Returns desk. Return and refund decisions against policy with the order and the evidence. Used by support and operations.
Known issues board. Open product problems, affected customer counts and fix status. Used by support and engineering.
Quality dashboard. Volume, response and resolution times, satisfaction, first-contact resolution, quality scores by category and person. Used by the support lead; feeds General Management.
We need a CRM for the sales team, with a deal pipeline.
Published Sales CRM. It uses the contacts and deals tables.
Sales CRMv3 · publishedread-write
Lead2
Northwind$8k
Initech$5kA
Qualified1
Globex$24kG
Won1
Acme$40k
Kyoube Apps as they run today: single-file, sandboxed and scoped to whoever is viewing. The suite's queue, customer view and knowledge base would be published through the same layer; the suite itself is planned.
Triage on arrival
Trigger: a message arrives on any channel. Steps: the Triage agent identifies the customer, matches to an
open ticket or opens one, classifies category and priority, checks for a known issue, assembles the
customer's orders, invoices and history, and routes per the category rules. Checkpoint: none. Output: a
ticket with context, in the right queue, within a minute.
Draft or auto-reply
Trigger: a ticket is triaged. Steps: the Responder finds the relevant articles and macros, reads the
customer's records, drafts a reply, and either sends it if the category allows auto-reply and confidence is
above the threshold, or attaches it to the ticket for a person. Checkpoint: a person sends every reply
outside the auto-reply categories. Output: routine questions answered immediately; everything else answered
faster.
Return and refund
Trigger: a ticket is classified as a return or refund request. Steps: the Responder checks the order,
the return window and the policy rule, proposes a decision, and drafts the reply and the return label.
Checkpoint: a person approves refunds above a value and every exception to policy. Output: decision
recorded, refund or replacement raised in Supply Chain and Finance, customer informed.
Escalation to engineering
Trigger: a ticket is classified as a bug or a person marks it. Steps: the Escalation Coordinator links it
to an existing known issue or creates one, files the issue in the tracker with reproduction details, and
tells the customer it is being looked at. When the tracker marks a fix released, it drafts an update to
every affected customer. Checkpoint: engineering triages the issue; a person approves the fix
announcement. Output: bugs reach engineering with context; customers hear when they are fixed.
Knowledge upkeep
Trigger: routine, weekly. Steps: the Knowledge Curator finds resolved tickets whose answer had no article,
drafts the article, flags articles unused for 90 days or contradicted by a release note, and proposes
retirements. Checkpoint: the support lead approves new and retired articles. Output: a knowledge base that
matches the product.
Quality review
Trigger: routine, daily. Steps: the Quality Reviewer samples resolved conversations per person and per
category, scores them against the rubric, notes coaching points, and rolls up the weekly report with
satisfaction and resolution trends. Checkpoint: the support lead reviews before anything reaches an
individual. Output: coaching notes and a report, never an automatic verdict on a person.
E-commerce brand. Order status, returns and damaged items dominate; auto-reply on order status alone
removes a third of the queue. The returns desk enforces the return window and flags serial returners. Peak
season volume is forecast from the Marketing calendar.
SaaS company. Tickets are how-to questions, bugs and billing; the Responder reads product docs and the
customer's plan and usage. Escalations to Linear or Jira carry logs the customer attached. Known issues
are surfaced to the Sales Supercube's account managers.
Subscription box service. Pauses, skips, address changes and delivery problems; the Responder acts on
the subscription in Stripe within policy and confirms; the Triage agent groups tickets by delivery batch to
spot a carrier problem early.
Utilities and telecoms reseller. Billing disputes and outage reports; the known-issues board becomes the
outage board and the Escalation Coordinator drafts status updates by area. Regulatory complaint handling
timescales are SLAs on the category.
Education provider. Students and parents ask about enrolment, fees and timetables; audiences on
articles separate the two; the People and Finance Supercubes supply staff and fee records under strict
scoping.
Local services business. Booking changes and quotes by WhatsApp and phone; the Responder drafts
confirmations and reschedules against the Operations Supercube's job calendar.
Auto-reply is off by default and enabled per category by an admin with a confidence threshold. Every
automatic send is tagged as such in the message and the audit log.
Refunds, replacements and policy exceptions are approved by a person, with thresholds per company.
The Responder answers only from the knowledge base and the customer's own records; it never invents a
policy, and it says when it does not know.
Customer records from other supercubes are read with the viewer's own access level in the customer view,
so a support agent sees what their role allows.
Quality scores go to the support lead first and are coaching material, not a performance metric fed to
anyone automatically.
The operating rhythm of the company, run by agents, owned by the leadership team
Goals, KPIs, meeting cadence and decisions in one place, with agents that prepare every review and chase every action so leaders spend their time deciding, not collecting.
Books that close themselves, cash you can see, approvals that stay with people
Accounts payable, receivable, month-end close, cash forecasting and management reporting run by agents against your own ledger data, with every payment and every journal approved by a person.
A pipeline that works itself while your people talk to customers
Lead qualification, CRM hygiene, quoting, follow-up and forecasting handled by agents in your own customer tables, so salespeople sell and managers see a forecast they can trust.