Capabilities / V
Automation & AI agents
Work that used to need a person, running on a schedule. Not a chatbot bolted to a homepage — pipelines with inputs, checkpoints, approvals and receipts.
In shortAspireco builds automation and AI agents that do work a person used to do, on a schedule: pipelines with inputs, checkpoints, approvals and receipts, not a chatbot bolted to a homepage. It is for businesses with repeatable, rule-bound processes, and for operators who need output at a volume hiring cannot reach.
What we deliver
- Workflow estates on n8n — routing, enrichment, approvals, escalation, digests
- Agent infrastructure: tool access, memory, routing, per-task model selection
- Generative pipelines for design, copy, voice and video with human approval gates
- Scheduled operations — reconciliation, syncs, monitors, alerting
- Observability so you can see what ran, what it cost and what it decided
A merchandise business that runs end to end without a person in the loop: trend capture, scoring, idea generation, legal screening, an approval gate, design generation, print-on-demand publishing, then social scheduling — fourteen workflows, all live.
Proven on
- Automation · Print on demandTrend-PODA merchandise business that runs itself: trend capture, scoring, idea generation, legal screening, approval, design, publishing and scheduling — fourteen workflows, no operator.
- Automation · MediaContent FactoryA short-form video pipeline covering forty-two niches in four languages — script, voice, render, publish and attribute, on a schedule.
- Integrations · Internal platformBusiness OSThe operating layer under everything we run: CRM, wiki, identity, invoicing, campaigns, customer chat and an automation estate of 117 workflows.
Platforms we build it on
Industries we have built it for
Related questions
- What is an AI agent, in plain terms?
- Which parts of a business process should use AI, and which code?
- What is n8n, and when is it the right tool?
- Can an AI voice agent answer a small business's phone?
- How does automated short-form video production work?
- How much of a small business can realistically be automated?
Questions about automation & ai agents
What should a business automate first?
A process rather than a task: something with a trigger at the front, decisions in the middle and an output somebody downstream depends on. Score candidates on four signals — repeatable, rule-bound, high-touch and error-prone — and use volume to rank the survivors, not to qualify them. Settle every disputed rule in writing before anything is built. The free audit walks your processes through those questions.
Where should a person stay in an automated pipeline?
At one gate, placed at the last reversible moment: just before the first step a stranger can see, or the first step that spends money. POD Engine, our own print-on-demand pipeline, runs nine stages from trend to storefront and keeps exactly one human approval gate, because taste and legal exposure are the two decisions that should not be automated. Approvals run through a chat bot, so the operator's whole interface is a phone.
How do you stop an AI agent from getting things wrong?
By keeping the model out of steps that must give the same answer every time. A language model is good at reading unstructured input, drafting and classifying something genuinely fuzzy; it is bad at arithmetic, at repeating itself and at being audited. If a step producing a different answer tomorrow on the same input would worry you, it gets written as code. On our own Growth Engine, compliance lives in code rather than in a prompt.
What happens to an automated pipeline when a provider goes down?
It should degrade rather than stop. Content Factory, our own short-form video pipeline, gives every render stage three fallback tiers and sources B-roll from four licence-verified sources in a ranked cascade, so one provider outage produces a slightly worse video rather than an empty schedule. The rule we apply: cosmetic steps fail open, irreversible steps fail closed.
What do you build automations and AI agents on?
Workflow estates on n8n for routing, enrichment, approvals, escalation and digests, with agent infrastructure behind them: tool access, memory, routing and per-task model selection. Business OS runs a shared estate of 117 workflows across eleven businesses, namespaced per business so a new venture inherits the routing, notification and escalation patterns instead of rebuilding them. Every run is observable: what ran, what it cost and what it decided.