AIautomationbuiltto
operatewhileyousleep.
Aurokit designs and ships custom AI systems — orchestrated agents, internal copilots, and back-office pipelines — that compound quietly inside the businesses we partner with.
Real products.
Five agents we ship, again and again.
Not abstract categories — deployed systems. Each one started as a custom build for a real operator, hardened in production, and is now a repeatable product we tailor to your stack.
Outreach that does its homework.
Automatically researches contacts and generates personalized outreach messages.
Inbound to CRM, hands-free.
Handles inbound inquiries, generates quotes, and logs data directly into a CRM.
Your back office, in Slack.
Provides internal data retrieval and automates admin tasks within Slack.
Membership, managed.
Sophisticated system for member onboarding, event management, and support, built on MCP servers.
Every lead, called back instantly.
Voice agent built on Retell AI that qualifies inbound leads against criteria like location, budget, and homeownership — then updates lead status directly in an Airtable CRM.
Four steps,
no theatrics.
No discovery deck. No quarter-long roadmap before a line of code ships. We find the leak, price against the savings, and prove it on real data.
- 01
Diagnose the problem.
We don't start by selling software. We identify exactly where your business is leaking time or money, then propose the fix.
Workflow auditLeak mapProposed fix - 02
Price on ROI.
No hourly billing. We calculate the time or cost savings the automation will produce, and price against that — so the incentives point the same direction.
Savings modelROI pricingNo hourly billing - 03
Prototype & QA.
A rigorous QA cycle against both sample and real data before anything goes to production. It has to survive Monday morning.
Sample-data runsReal-data QAProduction gate - 04
Package & anchor.
Tiered pricing — Starter, Growth, Scale — so the offer is clear and professional, not a custom quote every time.
StarterGrowthScale
Value Simulator
See the math behind Step 2. Model the immediate capital efficiency of deploying autonomous systems for your manual workflows.
We don't believe inAI moonshots,demoware,or platformslooking for a problem.We believe insmall, sharp systemsthat quietlydo the work —and surviveMonday morning.
Let's find the seam
where AI actually
moves the needle.
Tell us what your team does, what slows it down, and what good would look like. We'll come back within two business days with a candid take — and whether we're the right partner for it.
Most engagements start as one system and become a standing partnership — that's by design.
A Speed-to-Lead voice agent for a real estate partner, an AI Concierge for a membership org, and an outreach agent for a B2B sales team.