A 24/7 AI fleet
for the boring work
your team shouldn't be doing.
So your people are with customers and growing the business, not in spreadsheets.
Discover → Design → Build & Run · Flat monthly retainer per workflow
What we run, every day
Bank statements reconciled against your ERP
Nota fiscal loaded into your ERP, on time
SPED & accessory obligations filed on the dot
Healthcare claims reviewed, eligibility verified
The repetitive work eating your team's time. Hand it to us.
We discover where the boring work lives, design an AI agent to handle it, and run that agent for you — around the clock. You pay a flat monthly retainer per workflow.
Reconciling bank statements against the ERP
Your bookkeeper closes the month against bank exports, ERP ledgers, and a thousand tiny mismatches. The agent does the matching. Your bookkeeper handles the exceptions.
Loading nota fiscal / vendor invoices into the ERP
NF-e XMLs arrive. The agent parses, posts, and flags discrepancies. Your AP clerk reviews edge cases instead of typing line items.
Tax guides and accessory obligations (SPED)
Monthly and quarterly filings, generated and submitted by the agent against the latest IBS/CBS rules. Your accountant signs off. She doesn't have to assemble it.
Customer-service triage and routing
Inbound tickets across email, WhatsApp, and form get categorized, prioritized, and routed. Your service team handles the conversation, not the inbox.
Document extraction and structured data entry
Contracts, statements, forms. The agent reads them, structures the fields, posts to the system of record. Your operator approves — she doesn't copy.
Monday-morning reporting
Pulling sales, inventory, and ops numbers across 3–5 SaaS tools every Monday by 9am. The agent assembles. Your COO reads.
Maybe yours looks different. If it's repetitive, structured, and someone good is doing it manually — it's a candidate. Tell us about it.
Discover. Design. Build & Run.
Discover
We sit with your team and find where the boring work lives — the workflows where senior people do mechanical work. We pick the highest-leverage candidate and write a scope. You see the candidates we considered and why we picked the one we did.
Design
We design the AI agent: what it does, what it touches, what stays human, what your team approves. We build it and test it against real data from your stack. You see it work before it goes live.
Build & Run
We stand the agent up in production and run it. Monitoring, error recovery, model improvements, and rule updates — all on us, every month, for as long as you want the work done. Every month, you get a one-page report: what ran, what we caught, what we improved.
Not a tool you install.
A fleet we operate.
Always on, always watched.
The agents run around the clock. We monitor them. If something breaks, we fix it. You don't get paged.
Improves over time.
Every month we tune the agent against your edge cases. The agent that ships in month 3 is sharper in month 6. You don't pay extra for that.
Your stack, not ours.
Agents work inside your existing tools — your ERP, your CRM, your messaging. No platform to migrate to, no vendor to be locked into.
Pricing that scales with the work,
not the headcount.
Each workflow we run is a flat monthly retainer. No per-task billing, no surprise overages, no hidden infrastructure cost. Add a second workflow, add a second line item.
On the strategy call, we tell you what each workflow costs upfront — what it would cost a person doing it manually, what it costs us to run. The math is yours to decide.
For operators whose teams
are too smart for the work they're doing.
Maybe it's you. Maybe it's someone on your team. Either way, there's work that a machine should be doing — reconciling by hand, copying data between systems, typing line items that arrived as XMLs. Smart time going into mechanical work because the work has to get done.
You don't want to fire them. You want to set them free.
That's the work Nyxen does.
This is for you if…
- ▸Boring, repetitive work is eating hours — yours or your team's
- ▸You want the work done — not a methodology to learn
- ▸You pay monthly for outcomes you can measure
- ▸The boring work never stops — and it still falls behind
Not for you if…
- ·The repetitive work doesn't exist yet — the processes haven't formed
- ·You want a software tool you install and configure yourself
- ·You want enterprise RPA with consultants on-site for a year
- ·You want a one-off automation project
What you're probably thinking.
Every agent we build is yours. The code lives in your repos, the configs live in your accounts, the runbooks are documented. If we vanish tomorrow, your engineering team can keep them running with a week of ramp-up. We earn the retainer by running the agents better than you'd want to in-house — not by holding the work hostage.
It will. Every agent we run has a human-approval boundary on anything reversible-but-costly. We monitor outputs, log every action, and own the post-incident review. The shape of the contract is simple: we run it well, and when we mess up, we make it right.
That's a conversation we help you have. Most teams welcome it once they understand the agent takes the mechanical work, not the judgment work. We've seen senior bookkeepers go from data entry to financial analysis once the boring layer is gone — the conversation goes a lot better when people's roles get richer, not when they disappear.
Agents run inside your stack against your data. We don't pool data across clients, we don't train models on your data, and we sign LGPD-compliant data-processing agreements on every engagement. Sensitive data is processed in-region per your compliance posture. If your compliance team wants to talk to ours before signing, we make that easy.
No. The agent code is yours. The runbook is yours. The configs are in your accounts. You can ask us to stop at any time and keep the agents running with your own team. We've designed the engagement so that staying is a choice every month, not a contractual trap.
I founded Nyxen because I kept watching the same thing happen.
I'm Igor. I've been eliminating manual work through automation since 2016 — VBA automations and data pipelines at Ânima Educação, chatbots and NLP at Take Blip, and as a Senior PM at Hotmart, where my team eliminated the manual extraction routines that had been blocking the CX operation from the data model it had wanted for years. Different companies, different tools, same pattern every time.
Companies keep people doing mechanical work not because they want to. Because automating it properly — real integrations, real RPA — is expensive and slow. Months and a consultant budget for one item off an infinite list. The math always came out the same: keep the person. It's cheaper.
In 2023 I burnt out and stopped. Took a year to breathe, be with my family, and watch AI tooling catch up to a problem I'd been circling for seven years.
AI pipelines broke the math. An agent starts doing exactly what the human did — step by step. Through monitoring and iteration it sharpens: repetitive steps become tools, edge cases become memory, the system improves itself. What took someone's full day takes minutes. And unlike RPA, it adapts.
That's what I built Nyxen to operate. Not hand you an agent and leave — run the fleet, ongoing, for as long as the work exists.
— Igor
Talk to our
AI concierge.
Ask about pricing, how we work, or what we'd automate first. It can answer directly, and book the strategy call once it makes sense.
You're talking to an AI, not a person — it'll tell you so itself.
Hi, I'm Nyxen's AI concierge. Ask me anything about how we work, or tell me what's eating your team's time.