// ai operations layer · owned

The repetitive work running your teamshould be running itself.

Custom AI agents that take the grunt work off your people, across support, sales, finance, and ops. Built in your own stack, owned outright. One build fee, no retainer, and the keys are yours.

15 minutes, no deck, just the working machine.

// your week

Your best people spend the week on work a system should be doing.

Every business runs on the same hidden tax: repetitive work. Tickets answered, leads chased, invoices keyed, reports stitched together from five tools. It scales with the business, your team doesn't.

Most of it depends on someone remembering, or someone not quitting. The hot lead waits. The invoice sits. The report gets pulled by hand at midnight. And the one person who knows the process is the bottleneck for all of it.

You're working in the business, not on it. That's not a tooling problem. It's an ownership problem.

work-queue · today
manual
08:10support inbox backed up overnight 37 tickets queued
10:24new lead waiting on a reply 2h, going cold
12:02invoices still un-coded for month-end by hand again
15:30weekly report stitched from five tools due by midnight
17:45the person who knows the process is out everything stalls

every line above is work an agent handles on its own. the system catches each one. (to build)

// the track record

Most AI automation fails. Not because AI can't do the work, because the wrong thing gets automated, rented, and pointed at a generic template.

95%

of enterprise GenAI pilots show no measurable P&L return. The ROI that does exist is in back-office automation, the exact work this replaces, not another sales tool.

MIT NANDA, The GenAI Divide: State of AI in Business, 2025

40%+

of agentic-AI projects get canceled by 2027, killed by cost, unclear value, and “agent washing.” Hardened, scoped, and owned is the opposite of a hyped POC.

Gartner, June 2025

// build it with ai, live

Describe your business. Watch AI map your automation.

You don't need to know AI. Type one line about the work that eats your week, and watch a tailored blueprint draw itself: the agents, the flow, your ROI. Free, instant, no email wall.

try:or see the examples →

// the owned mechanism

Own the machine. Don't rent it.

One build fee. Deployed in your own Supabase, your own Vercel project, your own cloud. The code, the workflows, the logic live in your house, keys in your hands. No card on file to forget about. No auto-scaling trap. Nothing left to cancel when the build is done. And if we vanished tomorrow, any contractor could pick it up, because it all lives in your environment.

  • ticket triagesupport questions answered and routed before a human has to touch them
  • lead handlingevery lead caught, qualified, and followed up, nothing goes cold
  • invoice processinginvoices and bills read, coded, and written straight into your books
  • document workdata pulled from PDFs, forms, and emails, no more manual entry
  • reportingthe weekly report built from your tools, not by hand at midnight

Everything writes back into the tools you already use, your CRM, your Slack, your helpdesk, your books. Not another dashboard to babysit, and no brittle Zapier glue that breaks silently.

handover.deedowned outright
  • the repository, every line readable
  • architecture + ops documentation
  • credentials, in your own vault
  • a recorded walkthrough of the build
  • a runbook for when something changes
  • self-healing debug layer
  • cancel-anytime warranty, fixed price

this is exactly what lands in your environment and stays yours.

sample handover package · (to build)

// rent vs own

The choice was never expensive tool versus cheap tool. It's the stack you rent back from ten vendors every month, against one build you own.

rent it · the stack todayown it · one build
the monthly billA CRM seat, a helpdesk tool, an automation app, a VA. Every month, forever.One build fee. Then nothing.
who holds itTen vendors, each a card on file you hope to remember to cancel.Your cloud, your database, your keys.
when it breaksYou wait on support, or it breaks silently like Zapier and only you understand it.You hold the code, the docs, and a self-healing layer.
if they vanishThe function dies with the vendor.It keeps running in your environment.

// security is the product

We built a guard, not a gambler.

A black box touching your customers, your money, or your data is terrifying. It should be. So the system is built to make the risky parts safer, not bet on them. Not a tagline, a set of guarantees you can read and switch off.

tenant isolationenforced

RLS as a database guarantee, not app-code hope. One customer's data never bleeds into another's.

deny-by-defaultenforced

Least-privilege role behind a policy gate. The agents only do what they're scoped to. No free-form actions on the systems that touch money or customers.

audit trailenforced

Append-only and hash-chained. A readable, tamper-resistant record of every action the system takes.

kill switchenforced

Revokes credentials on demand. “What if it goes rogue” is one sentence and a demo, not a support ticket.

human-in-the-loopenforced

A checkpoint sits before anything irreversible: a refund, a payment, a public reply. The agent proposes, you approve the risky moves.

audit-trail · live
streaming
09:14:01support ticket caught from inbox zendesk
09:14:01classified · billing question deny-by-default passed
09:14:02answer drafted from your docs cited
09:14:02resolved and replied 96ms end-to-end
09:14:02refund flagged for human approval above scope
09:14:02action hash-chained to audit log tamper-evident

every task caught, classified, handled, and logged. nothing falls through the cracks, and the risky moves wait for a human.

// your perimeter

Your repo. Your cloud. Your keys.

The build ships to your GitHub and runs in your environment, so most third parties never touch the path at all. Our sub-processor list is short, and we publish it in full, every provider, its purpose, its region. No launch-draft placeholders.

read the published sub-processor list →
blast radiusscoped before deploy

Blast radius is defined before deploy, not discovered after. The support agent can answer a ticket and draft a reply. It cannot issue a refund, touch billing, or read another customer's data. And one switch revokes its keys.

// the math

Against zero, the price stings. Against what you bleed, it pays back fast.

Every owner lives in payback periods, so do the math out loud. A single hire is $4,000+ a month, every month, before the tools and the work they still can't get to. This is one-time, and you own it. Drag your real numbers in.

// your numbers, monthly

$2,400

hours your team loses to tasks an agent could do, at a loaded rate

$600

the apps you rent to patch the gaps between systems

$1,200

manual tasks you pay someone else to do every month

$0

the headcount you add when the work scales

$5,500

public band · scoped $3k–$8k · owned outright

// what you bleed

payback

$4,200 / mo

recurring spend the owned layer absorbs

the build pays for itself in

1.3 mounder 3 months

then it's yours. no card on file, nothing left to cancel, no renewal someone's betting you forget.

this is your cost math with your numbers. we never state how many meetings you book or what your clients close. we guarantee the build, not a pitch.

get the labor-replacement math sheet(to build) · captures email, you keep the sheet

// how a build works

We fix it before we automate it.

Four steps, milestone-paid, ending with you holding everything. No retainer at the end, just a system in your environment with your name on it.

  1. // audit01

    Map the flow, find what's broken

    A paid 30-day fulfillment audit. We map how outbound actually runs in your shop and surface what's leaking before anyone writes a line of code.

    paid front door
  2. // fix02

    Repair the process first

    We fix the broken handoffs before we automate them. You don't 100x a broken process, you fix it, then wire the machine to it.

  3. // build03

    Deploy in your stack, hardened

    Built in your own Supabase and Vercel, RLS and deny-by-default from day zero, deliverability guarded under the 0.3% line.

  4. // hand off04

    The keys are yours

    Repo, docs, a recorded walkthrough, the runbook, the credentials. Milestone-based payment all the way through, so your cash is protected.

    you own it

// pricing logic

We publish the logic. No price hidden behind a sales call.

Most agencies make you book a call just to hear a number. We don't. Here's the band, and the logic behind it.

// first buildone fee · no retainer

$3k$8k

Scoped to one workflow, owned outright. Less than what you bleed to the rented stack in a few months, and then it's yours, with nothing left to cancel.

  • scoped to your highest-pain workflow first
  • deployed in your own environment
  • hardened: RLS, deny-by-default, audit trail, kill switch
  • full handover deed, owned outright
  • milestone-based payment
see it built on your workflow15 minutes, no deck, just the working machine.
// the front doorsub-$1.5k

A paid fulfillment audit

Start here. We map your outbound, find the leaks, and scope the first build. No commitment to build past it.

// aftercarewarranty

Fixed-price, cancel anytime

An optional care window framed as a warranty, never a retainer you resent. Docs and a self-healing layer mean you're never stuck.

// proof

No client logos yet. That's the deal, and it's the honest one.

You'd be early. So instead of a testimonial slider you can't verify, the proof runs live on your real data on the call. You decide from what you see, not from what we claim. When the first builds ship, real before-and-after numbers land right here.

No stock logo wall. No testimonials from companies you can't find. When proof exists here, it'll be named, linkable, and yours to check.

see it built on your workflow15 minutes, no deck, just the working machine.
proof/builds
empty

$ ls proof/builds

// no client builds shipped yet

$ book --audit-call

→ a working agent runs on your.workflow

this section swaps in named builds with before/after numbers the day they exist. (to build) never faked.

// the objections, named

The fears you'd raise on the call, answered before it.

Every one of these is a real thing operators say. We name it in your words, then point at the structural fix, not a reassurance.

A black-box AI touching my customers or my money is terrifying.

Good. It should be. That's why the risky moves, a refund, a payment, a public reply, sit behind a human checkpoint, and every agent is scoped before deploy so it can't act outside its lane. We make the fragile parts safer, we don't gamble with them.

I've been burned by AI before. The last tool we tried was a toy.

That was a rented black box pointed at a generic template. We agree most of it is slop. We don't pitch it, we build a working agent on your real process first and you decide from what you see.

Can I even maintain a custom system? I'm not technical.

You get the code, docs, a recorded walkthrough, a self-healing debug layer, and a cancel-anytime warranty. If we vanished tomorrow, any developer could pick it up, because it all lives in your stack.

I paid an agency a monthly retainer and they vanished after signing.

No retainer here. One build fee, you own it, milestone payments protect your cash, and the system stays in your environment with your keys. We walk away from your wallet, not your system.

It's too expensive.

Against zero, sure. Against a hire's monthly salary, the overlapping tools you rent, and the work you outsource, it pays back in months and then it's free forever. Drag your real numbers through the calculator.

I could just build it myself in n8n or Zapier.

You could. Then you own a maintenance job, and it breaks silently the day an upstream API changes. We build it, harden it, document it, and hand it over so it keeps running without you.

What if it goes rogue near my customers or my money?

One sentence and a demo: a kill switch that revokes credentials on demand, plus a deny-by-default policy gate so the agents only do what they're scoped to. Irreversible actions wait for a human. Not a support ticket.

Is my data safe?

RLS tenant isolation as a database guarantee, secrets in your own vault, an append-only hash-chained audit trail, and a published sub-processor list. One customer's data never bleeds into another's, and most third parties never touch the path at all.

How are you different from a generic AI-agent agency?

Three ways. One, we build for your actual business, accounting, legal, e-commerce, automotive, agencies, whatever you run, not one off-the-shelf template. Two, you own it outright in your own stack, one fee, no retainer, not a rented black box. Three, our legal is finished and our sub-processor list is published, not a launch draft full of placeholders. You can read every line before you commit.

Who actually touches my data, and where does it live?

Your data lives in your own cloud, under your keys. We publish the full sub-processor list, every provider, its purpose, and its region, in the data processing addendum, so there's nothing to guess. No long subprocessor table, because the architecture keeps most third parties out of the path entirely.

// of your own accord

Built in your stack. Runs on its own. Yours to keep.

15 minutes, no deck. We build a working agent on your real workflow and you decide from what you see. You'd be early, and that's the whole offer.

sponte.ioSponte.io is Latin for of your own accord. A system that runs on its own, that you own outright.