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SDEN:
Agentic operations / build in public

Most vendors sell autonomy they do not use. We built SDEN to run on the same agents we ship: a cockpit of self-running loops, email agents on real inboxes, and a knowledge base that updates itself overnight. This is not an anonymized composite. It is our own system, and the figures are countable in our public repositories.

Agentic operations / build in public
Client
SDEN (our own company)
Sector
Agentic operations / build in public
Duration
Running continuously in production

The premise

The honest way to prove that agents can run real operations is to run your own on them, in the open. SDEN does. The systems below are in production for our own company: they answer email, watch the market, chase overdue invoices, keep a knowledge base current, and teach, with a founder-led team that stays deliberately small.

Nothing here is a projection. Every number is a count of something that exists in the codebase or the cockpit, and can be checked.

How it ran

How this engagement ran

From the problem to a system the team now runs themselves.

frameddeliveredhandoverThe problemthe startScopeda clear planBuilt & shippedin productionNow theirsin-house
Challenge

A small team, a full company's worth of operations

A founder-led company still has the full surface of operations to run: inbound HR and training email, market and competitor watch, SEO and answer-engine coverage, invoice follow-up, incident notifications, and a knowledge base that goes stale the moment nobody tends it. Hiring a person for each is the obvious path, and the wrong one for a company whose entire thesis is that agents can carry this load.

The risk is the opposite failure: automation that looks alive but produces nothing anyone consumes. The bar we set was that every agent had to do real work on a real surface, not perform activity for a dashboard.

Approach

One cockpit, self-running loops, agents on real surfaces

SDEN operates a central cockpit that runs autonomous loops and hosts email agents wired to live inboxes, backed by a version-controlled knowledge base that a nightly job keeps current. Each agent is scoped, observable, and reversible: loops that only draft (never send) leave a human in the approval seat, and every run is recorded.

  1. Email agents on live inboxes

    HR and training email agents read, draft, and (under a kill-switch) answer real inbound: onboarding questions, roster changes, reminders, attachments. They run around the clock, not on office hours.

  2. Autonomous cockpit loops

    Eight loops run the operational watch: share-of-model, answer-engine gaps, content-brief backlog, competitor watch, invoice chasing, inbox triage, repeat-offender digest, and escalation audit. Each records its runs so a dead loop is visible, not silent.

  3. A second brain that updates itself

    A nightly job syncs the company knowledge base from the cockpit into a version-controlled vault, so decisions and context compound instead of scattering across chats.

Outcome

The company runs on the product it sells

The result is a company whose operations are carried by the same agentic engineering it offers clients. The proof is not a testimonial: it is that these systems are in our repositories and cockpit, running now, and countable.

That is the version of build-and-run we stand behind: not a promise of autonomy, but autonomy we operate on ourselves, in public.

8

autonomous loops running the cockpit

24/7

email agents on real HR and training inboxes

12

LMS training tracks the system maintains

Build in public. This is SDEN's own system, and every figure here is verifiable in our public repositories.

The outcome

Before and after

What changed.

we builtresultBeforemanual, slowWe built agentsAfterfaster, owned
From a manual process to an agentic system the team now owns.
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SDEN case study: Agentic operations / build in public · SDEN