Your automations keep breaking — and nobody owns them. We fix that.
A US-registered AI automation agency that rebuilds your brittle busywork into systems you own. Not one more Zap held together with hope — real automation that reasons through exceptions instead of failing silently at 2 a.m.
What does an AI automation agency actually do?
A good AI automation agency doesn't sell you software — it removes work. We map where your team burns hours on copy-paste, chasing, re-keying and "did anyone update the sheet?", then we build the system that does it for them. Then we hand it over: you get the running automation and everything needed to change it later.
- We audit the workflow and find the real bottleneck — not the flashiest one
- We build automation that handles the exceptions, not just the happy path
- We wire it into the tools you already use, over their APIs
- You own the code, the logic, the credentials and the docs at the end — no rental
The automation problems we get called about
"Every edit to our Zaps feels like defusing a bomb."
The setup grew one connector at a time over two years. Now it's a maze nobody fully understands, so nobody touches it — you just work around the parts that break. That's automation debt, and it quietly taxes every process it touches.
"It broke, and we found out from an angry customer."
Rule-based automations fail silently: a field renames, an API returns a slightly different shape, a token expires — and the run just stops. No alert, no retry, no owner. The first signal you get is a complaint. We build in monitoring and retries so the system flags itself first.
"The person who built it left. Nobody knows how it works."
Orphaned automation is the worst kind. Undocumented logic, credentials buried in someone's personal account, and a workflow the business now depends on. We can adopt it, document it, and rebuild the fragile parts — without ripping the whole thing out.
"It works right up until anything unusual happens."
A Zap follows a fixed path. Give it a half-filled form, a duplicate, a weird PDF, or an order that doesn't match a rule, and it either errors out or does the wrong thing confidently. Automation that can reason reads the exception and decides — or escalates it to a human on purpose.
"We're paying per task, and the bill climbs every month."
Per-operation pricing punishes you for succeeding — more volume, bigger invoice, forever, on a platform you don't control. We build a system you own outright, so growth doesn't come with a rising rent.
Why do Zapier and Make automations keep breaking?
It isn't bad luck, and it usually isn't the tool's fault. No-code automations break because they follow rigid rules across systems that change underneath them — and because nobody owns the maze once it's big enough to be scary.
A rule can't reason — so any surprise ends the run
A no-code step does exactly one thing and assumes the input is perfect. When a source app renames a field, an auth token expires, an attachment arrives in a new format, or a record shows up half-filled, there's no judgment layer to recover — the run just halts, mid-process, with no owner watching. Multiply that across dozens of chained steps and a break is a matter of when, not if.
What's the difference between a workflow and an AI automation that can reason?
Both move data between apps. Only one can look at a messy input and decide what to do. Here's the honest split — and where each earns its keep.
| Rule-based workflow (Zap / scenario) | AI automation that reasons (LoopHawk) | |
|---|---|---|
| Handles the happy path | Yes, until an input changes | Yes — and the exceptions too |
| Unexpected input | Errors out or does the wrong thing | Reads it, decides, or escalates on purpose |
| Messy / unstructured data | Needs a perfectly shaped field | Reads PDFs, emails, free text & extracts intent |
| When something breaks | Stops silently, no owner | Retries, alerts, logs — and has an owner |
| Cost shape | Per task / per operation, forever | One-time build, then low run cost |
| Ownership | Lives in a platform account | You own the source, logic & credentials |
No-code tool, freelancer, agency, or in-house — which do you actually need?
There's no single right answer — there's a right answer for your volume, your risk and your team. Here's the straight comparison, with who each is best for.
| No-code tool | Freelancer | AI automation agency | In-house team | |
|---|---|---|---|---|
| Upfront cost | Low subscription | Low–mid | Mid, one-time | High (salaries) |
| Handles exceptions | Poorly | Depends on the person | By design | Yes, if senior |
| Documentation & handover | You build it | Often skipped | Delivered with the build | Internal knowledge |
| What happens if they vanish | Vendor lock-in | Orphaned automation | You own it & it's documented | Key-person risk |
| Speed to first result | Fast but fragile | Variable | 2–4 weeks, hardened | Slow to hire & ramp |
| Best for | One simple, stable task | A quick, low-stakes fix | Break-prone or business-critical workflows you must own | A permanent, large automation roadmap |
How does LoopHawk build automation you actually own?
We build on the same agentic architecture we bring to every AI agent development project — open frameworks, your credentials, full documentation — not a black box locked to our account.
Workflow audit first
We map the process, the inputs, the edge cases and the real cost of the manual version — so we automate the bottleneck that matters, not the demo-friendly one.
Bottleneck-ledMCP & API connections
We connect to the tools you already run — CRM, inbox, sheets, accounting, storage — over the Model Context Protocol and native APIs, using credentials that stay in your accounts.
Model Context ProtocolReasoning + tool-calling
An LLM layer reads messy inputs and decides, then function-calling actually does the work — parse, validate, route, write back — with checks, not just draft text.
Function callingRetries, alerts & fallbacks
Every step is watched. Transient failures retry, real problems alert an owner, and anything ambiguous escalates to a human on purpose — no more silent halts.
No silent failuresDocumentation & handover
You get a plain-English run book, the source, an architecture diagram and the credentials list — so any competent developer, including a future hire, can maintain it.
You own itMonitoring from day one
Run history, success rates and exception counts stream to a dashboard, so you can see the system working instead of hoping it is.
ObservabilityWhat can we automate for you?
Aimed at your biggest time-sink first — then expanded from what works. These are the workflows we're asked for most.
Intake & onboarding
Reads inbound emails, forms and PDFs, extracts the details, creates the record, and kicks off the next step — even when a field is missing.
Data entry & sync
Moves and reconciles data between apps — CRM, sheets, accounting, support — without the copy-paste, and without the typos.
Routing & triage
Reads a request, classifies it, and sends it to the right queue, person or process — escalating the edge cases instead of guessing.
Reporting & digests
Pulls from your systems on a schedule, builds the report, and delivers it — no more Monday-morning spreadsheet ritual.
Follow-ups & reminders
Chases the invoice, the document, the signature or the reply — persistent, on-brand, and it stops the moment the task is done.
Document processing
Parses invoices, contracts and receipts, pulls the fields you need, validates them, and files them where they belong.
Pick a moment — watch the automation handle it
Real scenarios, real systems. This is an owned automation doing the busywork your team does by hand — and reasoning through the parts a Zap can't.
Reads a half-filled order — extracts what it can, fills the gap, creates the record.
Classifies and routes — and escalates the one that needs a human.
Builds the weekly report — on schedule, no spreadsheet ritual.
Catches its own failure — the thing a silent Zap never does.
A $6,500 rebuild that pays back in reclaimed hours, not quarters
A representative single-workflow rebuild — we run these figures on your actual process before you pay a dollar.
| Line | Figure |
|---|---|
| Manual hours on this workflow / week | ~30 |
| Current rework from errors & re-keying | ~15% of that time |
| Hours reclaimed after the rebuild | ~24 / week |
| Exceptions the system reasons through (no human) | most of them |
| One-time build (you own it) | ~$6,500 |
| Running cost | ~$180 / month |
| Payback | a few weeks of reclaimed time |
What owned automation changes — beyond saved hours
A rebuilt workflow doesn't just move data faster. It removes a whole category of risk from the business.
Hours back to the team
The copy-paste, chasing and re-keying disappears, and people spend their time on work that actually needs a human.
Fewer errors
No tired-Friday typos, no missed steps. The system does it the same correct way every single time.
No more key-person risk
The logic is documented and owned, so no single person leaving takes the process with them.
No silent failures
When something breaks it tells you first — with the record, the step and a retry — not the customer.
Off the per-task treadmill
You own the system, so growth doesn't come with a rising monthly rent on someone else's platform.
Scales without hiring
Absorb a volume spike or a new process without adding headcount to do the same manual work.
Do you have to rip out the tools you already use?
No. This is one of the first questions we get, and the answer is almost always the same: we build on top of what you have. Your CRM, your inbox, your sheets, your accounting software — they stay. We connect to them over their APIs and the Model Context Protocol, so the automation works with your stack instead of demanding a migration.
- We keep the tools your team already knows — no relearning
- Credentials stay in your accounts, not ours
- We replace the brittle glue between tools, not the tools themselves
- If a tool genuinely can't do the job, we'll say so — and only then suggest a swap
What we connect to
CRMs, help desks, email and calendars, spreadsheets and databases, accounting and billing, file storage, e-signature and payment tools — anything with an API. If it doesn't have one, we'll find the honest workaround or tell you it isn't worth automating yet.
What we replace
The fragile, undocumented connective tissue — the tangle of Zaps, scenarios and half-manual steps — with one system that reasons, retries and reports. Same tools; a spine that doesn't snap.
One workflow, a connected system, or enterprise — priced for where you are
You shouldn't pay enterprise prices to prove out one workflow, or get a toy when you run real volume. Real ranges, no surprises.
Single workflow
We rebuild the one automation that breaks or eats the most hours — hardened, monitored, documented, and owned by you. The fastest way to prove the value.
Live in 2–4 weeks
Rebuild my worst one →Multi-workflow system
Rebuild a connected set of operations automations — intake, routing, data sync and reporting — into one owned system with shared monitoring and a single run book.
4–8 weeks
Untangle my stack →Enterprise automation
Multi-agent automation across departments with governance, role-based access, audit trails and human-in-the-loop — on open frameworks you own.
Custom timeline
Talk to our team →The numbers we hold an automation to
"It runs" isn't a metric. From day one we report the numbers that tell you the system is actually earning its keep — and catching itself when it isn't.
Hours reclaimed
Time handed back to the team each week — the reason you automated in the first place.
Run success rate
The share of runs that complete cleanly, tracked against your baseline so drift shows up early.
Exceptions handled
How many edge cases the system reasoned through vs. escalated — proof it isn't just the happy path.
Time to detection
How fast a failure is caught and flagged — the metric that ends silent breakage.
Error & rework rate
Fewer typos, duplicates and re-dos than the manual version it replaced.
Cost per run
The real running cost, visible — so you always know what the automation costs versus what it saves.
How fast can your first automation go live?
A single focused workflow is usually live in 2–4 weeks, and you see it working on your real data before any money changes hands — built by a US-registered LLC with a senior global team, so you get US accountability at global rates.
Free scoping + live demo
Point us at the workflow that breaks most; we build a working version on your real data, at no cost, before you pay.
Audit & itemized quote
We map the process, the inputs and the edge cases, then quote a fixed price by line item — no open-ended hours.
Build & integrate
We connect your tools, build the reasoning and the guardrails, and wire in retries, alerts and monitoring from day one.
Test, ship, hand over
Hardened on your real inputs, then handed over — source, logic, credentials and a plain-English run book, all yours. Optional ongoing support.
Who owns the automation, code, and data when we're done?
You do — completely. This is the whole point of the wedge: no orphaned black box, no per-seat rental, no logic trapped in a vendor's account. When we hand over, everything that runs the automation is yours.
- Source & logic — the actual code and workflow definitions, in your repository
- Credentials — every connection uses your accounts, never ours
- Data — it stays in your systems; we don't hold it hostage
- Documentation — a run book any competent developer can maintain
Why we build it this way
Orphaned, undocumented automation is exactly the problem we exist to fix — so we refuse to create more of it. Building on open frameworks with your credentials means you're never locked to LoopHawk. You can keep us on, run it yourself, or hand it to a future hire. Ownership isn't a perk here; it's the product.
What "handover" actually includes
Repository access, an architecture diagram, the credentials and environment list, the run book, and a walkthrough with whoever will own it internally. If you can't maintain it without us, we didn't finish the job.
What happens when something breaks — and who maintains it?
Things change: APIs update, a tool gets swapped, volume grows. The difference is that a LoopHawk automation is built to notice and built to be fixed. When something breaks, the system flags itself first — and because you own the documented source, the fix is never a mystery.
- Retries handle the transient blips automatically, no human needed
- Real failures alert an owner with the exact step, record and a retry
- You can fix it in-house, hand it to any developer, or keep us on
- Optional monitoring & optimization from $200/mo — entirely your call
If you want us to maintain it
Optional ongoing monitoring and optimization keeps an eye on run health, adapts to changes in your connected tools, and tunes the system as your volume and processes shift — from $200/mo. You own it whether or not you take this.
If you'd rather own maintenance
Because the source is documented and yours, your team or any contractor can maintain it. No lock-in, no ransom, no "only the original builder understands it." That's the whole promise.
Some teams don't want a project. They want the talent.
Got a roadmap of automation work, or an internal ops team that just needs senior hands? You don't buy a project — you bring on the people. Three ways to do it:
Hire AI automation engineers
Senior engineers who've shipped production automation, embedded in your team — hourly or full-time.
Hire remote AI developers
The same senior bench, remote — US accountability at offshore economics. Access to talent, not a discount on quality.
Build an automation pod
A managed team — engineering, integrations and ops — that owns delivery of your automation roadmap end to end.
Automations we build by industry
Same rebuild-and-own pattern, different processes and systems by sector.
| Industry | What the automation does |
|---|---|
| E-commerce & retail | Order intake, inventory sync, returns routing and supplier follow-ups — across storefront, ERP and accounting. |
| Professional services | Client onboarding, document intake, timesheet and invoice workflows, and scheduled reporting. |
| Healthcare & clinics | Intake forms, records routing and reminders — with PII handling and audit trails scoped to your risk tier. |
| Finance & accounting | Invoice and receipt parsing, reconciliation, approvals routing and compliance-safe audit logging. |
| Logistics & operations | Shipment updates, exception routing, status digests and cross-system data sync in real time. |
When a custom automation build is worth it
We'd rather scope you out than sell you the wrong thing. Here's the honest test.
Build one if…
- An automation you depend on breaks or fails silently
- Nobody will touch the Zap maze because every edit feels risky
- You inherited automations nobody documented
- You want to own the system, not rent it per task
Don't build one if…
- It's one simple, stable, low-volume task — a plain Zap is cheaper
- The process changes so often it isn't worth encoding yet
- The inputs are always perfect and never vary
- Nobody internally owns the outcome the workflow serves
AI automation agency — your questions
What is an AI automation agency in plain terms?
It's a team that removes repetitive work by building the systems that do it for you — intake, data entry, routing, reporting, follow-ups — and then hands the system over so you own it. The "AI" part means the automation can read messy inputs and reason through the exceptions a rule-based tool chokes on, instead of just following a fixed path.
How is custom AI automation different from a Zapier/Make workflow?
A Zap or Make scenario follows a rigid rule and assumes every input is perfectly shaped — when something changes, it errors out or stops silently. Custom AI automation adds a reasoning layer that reads unstructured inputs, decides, retries, and escalates on purpose — plus monitoring and full ownership. Plain workflows are great for simple, stable tasks; reasoning automation earns its cost when inputs get messy or a silent failure would actually hurt.
Why do my automations keep silently breaking?
Almost always one of three causes: a connected app changed a field or response shape, a credential or token expired, or an input arrived that the rule never anticipated. Rule-based automations have no judgment layer to recover and no built-in owner watching, so the run just halts — and the first signal you get is a complaint. We design for those exceptions and add retries, alerts and monitoring so the system flags itself first.
Can you rebuild automations someone else set up and abandoned?
Yes — that's one of the most common jobs we take. We can adopt an orphaned setup, document how it actually works, and rebuild the fragile parts without ripping out the whole thing. You end up with a system that's understood, monitored, and owned by you, instead of a black box nobody dares touch.
Do I own the automation and source code, or rent it?
You own it, completely. The source, the workflow logic, the credentials (in your accounts) and the documentation are all yours at handover, built on open frameworks. No per-seat rental, no logic trapped in our account, no lock-in — you can maintain it yourself, keep us on, or hand it to a future hire.
Will this work with the tools we already use?
Yes — we build on top of your existing stack, not a migration. Your CRM, inbox, sheets, accounting and storage stay; we connect over their APIs and the Model Context Protocol using your credentials. If a tool genuinely can't do the job we'll tell you, but no rip-and-replace is the default.
How much does it cost to automate a workflow?
A single rebuilt workflow starts at about $1,800; a connected multi-workflow system runs roughly $8,000–$35,000; enterprise multi-agent automation starts around $40,000. Running cost is typically $150–$1,000/month depending on volume, and optional ongoing monitoring is from $200/mo. You get an itemized quote and a live demo on your real data before you pay.
How long before a first automation is live?
A focused single workflow is usually live in 2–4 weeks, and you see it working on your real data within the first conversation. Connected multi-workflow systems run about 4–8 weeks; enterprise builds are scoped to a custom timeline.
What happens if it breaks after handover?
It's built to notice and built to be fixed. Transient issues retry automatically; real failures alert an owner with the exact step, the failed record and a one-click retry — before a customer notices. Because you own the documented source, the fix is never a mystery: your team, any developer, or us on optional support can handle it.
Is it worth it for only a handful of workflows?
Often yes — if those few workflows are break-prone, business-critical, or eating real hours. We start with the single one that hurts most, prove the value, then expand only from what works. If a workflow is genuinely simple and stable, we'll tell you a plain Zap is the cheaper right answer.
How do you keep our data secure during the build?
Credentials stay in your accounts, and your data stays in your systems — we don't hold it hostage. PII handling, role-based access, audit logging and human-in-the-loop for sensitive actions are built in, and for regulated industries we scope security to your real risk tier.
Do I need someone technical to run it?
No. Once it's live it runs on its own and reports to a dashboard, and the run book is written in plain English. If something needs a change later, you don't need in-house engineers — you can use any developer or our optional support — but day to day, no technical person is required to keep it running.
How much does an AI automation agency cost?
Real ranges from our own cost guides — not a subscription. You own everything we build: no per-task fees, no lock-in. The final price is fixed on a scoping call, with running cost shown up front.
Single workflow
- Rebuild the one that breaks most
- Reasons through exceptions
- Monitored, retried, documented
- You own it — no lock-in
Multi-workflow system
- Intake, routing, sync & reporting
- One owned system, one run book
- Shared monitoring & alerts
- Full handover & docs
Enterprise automation
- Multi-agent, cross-department
- Governance, RBAC & audit trails
- Human-in-the-loop controls
- Dedicated delivery lead
See it work on one of your real workflows
Point us at the automation that breaks most or eats the most hours, and we'll build a working, owned version on your real data — then walk you through it live. No cost, no commitment.