AGENT ENGINEERING
Autonomous agents that finish the job
We build agents with a charter: scope, budget, escalation, kill switch. They watch streams, decide under your rules, and act without being asked.
Agents that monitor, decide, and act
while you sleep.
We design, deploy, and watch over autonomous AI agents that run the work your team never gets to. Scoped, observable, and reversible by design.
Yours
Model choice
Your infra
Deployment
Auditable
Decisions
Yours to set
Scope
What we build, and how it runs.
Three disciplines, one fleet. Each stands on its own; together they compound.
AGENT OPERATIONS
Someone has to watch the machines
Every agent reports into one operations surface: health, spend, decisions, failures. Circuit breakers and dead-letter queues catch what breaks at 3am.
FLEET OPERATIONS
Many agents, one supervisor
One agent is a demo. A fleet is leverage. Specialists hand work to each other under shared rules, and one operator watches the whole thing.
Built in Kampala. Running while the continent sleeps.
What every agent gets as standard.
Model-agnostic by design
Claude, GPT, Gemini, Llama, or a mix. Each task routes to the model that earns it, and you can override any route.
Watch every decision
Full audit trail by default. When an agent acts, you see the reasoning, the trigger, and the result in the dashboard.
Runs on your rules
Agents get a charter, not vibes. Scope, spend limits, and escalation paths are defined before the first task runs.
Failure is planned for
Circuit breakers, retries with backoff, dead-letter queues. Agents degrade safely instead of compounding errors.
Fits your stack
Agents plug into the tools you already run rather than asking you to migrate. Start with one workflow, prove it, then widen.
Runs where you run
Your cloud, your VPC, or ours. Agents deploy next to the systems they touch, so data does not take a detour through someone else's infrastructure.
Your stack is already
agent-ready.
No migration, no rip-and-replace. Agents work with the tools your business already runs on.
Slack
Agents post updates, request approvals, and respond in your channels. Two-way, no switching tools.
Notion
Documentation, project trackers, and knowledge bases that stay current without anyone maintaining them.
Google Workspace
Read mail, draft replies, update Sheets, manage Calendar. The tools your team already opens every morning.
HubSpot
Leads synced, deal stages updated, interactions logged, agent workflows triggered from CRM events.
n8n
Bring existing workflows in, extend them with custom nodes, orchestrate multi-agent runs visually.
REST API & webhooks
Anything with an endpoint. Custom webhooks, REST calls, event-driven triggers.
“We started Septary Labs in Kampala because we were tired of AI tools that just answer questions. The work that actually moves a business forward still needs a human to do it. We thought that was wrong, so we built agents that do not wait around for instructions. They just get on with it.”
Maerco
Founder, Septary Labs · Kampala
How we take work off your plate.
01
We start with the work
Not the tech. The first conversation maps the recurring work that eats your week, and ranks what an agent could actually take over.
02
Charter before code
Every agent gets an explicit charter: scope, budget, escalation, kill switch. No vague prompts pretending to be a spec.
03
Ship small, watch closely
Agents deploy in small, reviewable steps with full observability from the first task. Behavior is checked before autonomy grows.
04
Fleet, not one bot
One agent is a toy. Real leverage comes from a coordinated fleet: specialists that hand work to each other under shared rules.
Questions, answered.
What exactly is an autonomous agent?
A program with a charter. It watches a stream, decides under rules you set, and acts without asking. Every action it takes is logged, reviewed, and reversible.
What can agents actually do?
The recurring work your team never gets to: monitoring streams, triaging inboxes, researching and reporting, running scheduled processes, and following up on things humans keep dropping.
What happens when an agent fails?
It fails loudly and safely. Circuit breakers stop retry storms, failures land in a dead-letter queue, and anything outside the charter escalates to a human.
Which models do you use?
Whichever earns the task. Claude, GPT, Gemini, Llama, and more, routed per job and swappable without touching your workflows.
Is my data used to train anything?
No. Your data moves through your isolated agent environment and is never used for training.
What happens to my waitlist email?
It is stored only to contact you about early access, and never shared. One email when we open, nothing else.
Put an agent on the clock.
Early access opens in waves. Leave an email, get one message when your wave is up.
One email when your wave opens. No newsletter, no noise.
Early access list is open.