They didn't sell us a chatbot. They rebuilt the way our ops team works — and the time savings showed up the first week.
S-02
Workflow automation
Long-running orchestration that survives retries, edge cases and humans.
We design, build and deploy autonomous workflows, custom agents and integrations that replace the busywork your team shouldn't be doing. Audit in 21 minutes. Live in 14 days.
They didn't sell us a chatbot. They rebuilt the way our ops team works — and the time savings showed up the first week.
Our SDRs used to qualify 40 leads a day. The Maachu Labs agent does 600 — and books better calls than they did.
What sold us was the audit. Twenty minutes in and we had a roadmap with hard ROI numbers attached to every workflow.
Hover any card to see what we'd replace it with. Every solution shown here is something we've shipped in the last six months.
An agent that reads context, executes the action, and reports back. No prompts, no humans.
Inbound forms, DMs and emails triaged, enriched and replied to in under 90 seconds, 24/7.
Resolves 60–80% of L1 tickets. Escalates the rest with full context, draft reply, and customer sentiment.
One semantic layer above your stack. Every tool reads from the same source of truth, in real time.
Multi-step workflows with memory, retries and human-in-the-loop checkpoints when stakes are high.
Every engagement starts with the same question — where does AI compound the most leverage for you. Then we ship.
A directional report you can take to your CFO. No email gate. Save and send to your team when you're done.
A real customer-onboarding flow we rebuilt for a fintech client. Toggle the state to watch the topology collapse.
Hard numbers from the last 12 months. We only publish results we can verify with the customer's own dashboards.
200+ daily leads going cold overnight. SDRs only worked 9–6 and burned an hour per qualification.
Front-desk staff spent 60% of their day on intake forms, insurance verification and rescheduling.
Support tickets scaled faster than headcount. Holiday spikes broke CSAT every November.
SDR team was burning out. CAC creeping up, conversion to opportunity flat at 1.8%.
This isn't a canned video. It's a real model, reasoning about your real problem. The same engine we use during scoping calls.
Try a problem. Maachu Labs will sketch an automation, list the integrations it needs, and estimate where the ROI lands. Same conversation we have on a real audit call.
Vertical depth matters in AI deployment. We've built — and re-built — these playbooks dozens of times.
All engagements include source code ownership, no vendor lock-in, and a documented runbook your team can operate.
A single high-leverage workflow, scoped, built and shipped in two weeks.
Three connected workflows + an orchestration layer. Most teams start here.
Multi-departmental AI operating layer, embedded team, security review.
We started Maachu Labs because most "AI agencies" are selling demos. We ship systems that earn back their cost in the first quarter — or we don't get paid the second invoice.
A small team of ex-platform engineers, ML researchers and operations leads. We've shipped agents in production at Stripe, Anthropic, Klarna and Shopify before this. We pick problems where AI compounds, not where it performs.
30-minute scoping call. We come prepared. You leave with a written one-page plan and a fixed-price quote.