asaasinAI automation agency
We automate the work that runs your business, intake, routing, reporting, reconciliation, inside your own systems: agents with real tool access, MCP servers, and API integrations, not a third-party dashboard. Built for teams outgrowing what a no-code platform can hold. See a free working prototype first, then a pod starts at $7,500 a month.
Most shops called an "AI automation agency" connect tools you already pay for, a CRM, a form builder, a spreadsheet, using a workflow platform, then drop a language model into a step or two to summarize, classify, or draft. That is genuinely the right answer for a straight-line connection between two tool-native systems, and it is fast and cheap to stand up. The result typically lives inside the agency's own tool license rather than something you hold outright.
We build the other option: typed services, a real database schema with migrations, tests in CI, and a pull request in your own repository reviewed by a named engineer before it merges. Agents get real tool access against your actual systems, not a generic connector list. MCP servers expose typed tools over your data and actions with scoped credentials and an audit trail, so Claude, ChatGPT, or your own agents can work with your systems safely. Where two systems need to agree and don't, or a vendor never shipped an API, we build the sync, the retries, and the scraper.
The right target is high volume, high tedium, and low ambiguity, not the workflow that sounds most impressive in a pitch meeting. A task that happens twice a week isn't worth a custom build no matter how tedious it is. A task that happens two hundred times a week pays back fast even when each instance is quick, because the hours add up.
Concretely, that means intake, routing, reporting, reconciliation, and lead scoring: work that already follows a rule most of the time and only occasionally needs a person to think. Work that needs fresh judgment on most cases, negotiating a contract term, diagnosing an ambiguous case, belongs in a decision-support tool that drafts a recommendation and shows its reasoning, with a person making the final call. And if the underlying process is already broken, no agreed source of truth, undefined ownership, automating it first just makes the broken process run faster.
Everything ships into your own repository and cloud account or VPC from week one, not a vendor-hosted runtime. You own the code, the data, and the IP outright, with no license-back. If we disappeared tomorrow, the system keeps running, because nothing in it calls a service only we operate.
MCP servers are part of that same posture: typed tools over your data and actions, scoped credentials, per-tool permissions, and an audit trail, built to work with any MCP client so you aren't locked to one vendor. System and API integrations get the same treatment, two-way sync with conflict handling, webhooks with retries and dead-letter queues, and a scraper where a vendor genuinely has no API.
The audit trail is not an afterthought bolted on at the end. A compounding-pharmacy platform we shipped carries a seven-year immutable audit log with every phase verified against numbered requirements before it merged. A white-label compliance scanner we built runs scheduled re-scans with automated outreach on a cron, not a person remembering to check. That is the difference a real database schema and reviewed code make over a log a workflow platform happens to keep.
A Builder Pod is $7,500 a month for one active build track: a pod lead plus a two-engineer bench, weekly ship, a sprint roadmap. That covers most single-workflow automations, a lead-routing pipeline or a document-ingestion system against one data source. A Growth Pod is $10,000 a month for two concurrent build tracks with a pod lead plus a three-engineer bench, weekly ship plus a bi-weekly strategy call, and architecture planning included, the right fit when two automations need to ship in parallel or the work touches more than one system of record.
An Enterprise Organization Pod is custom-priced for three or more parallel build tracks across departments, with a dedicated senior lead plus three to eight engineers, architecture ownership, and executive roadmap reviews. Every tier is month-to-month with a 30-day cancellation notice, no per-hour billing, and no change orders. A paused month isn't billed and the seat is held.
01
A forward-deployed engineer spends time inside your operation, maps what's worth automating by hours and cost, and hands you a ranked shortlist, or we build a free clickable prototype of the workflow you already have in mind. Either way, you see it before anything is billed.
02
Scope the workflow end to end: what triggers it, which systems it has to read and write, what a mistake would cost, and where a person needs to stay in the loop.
03
A pod lead and senior engineers work in your repository and your cloud account from day one, not a sandbox or an agency's own workspace.
04
Progress lands in your existing Slack, Teams, or email thread. Working automation ships every week, not at the end of a fixed-bid milestone.
05
Cancel any time with 30 days' notice. Whatever has shipped is already in your repository and cloud account, so stopping doesn't mean losing a working system.
Client names withheld. Engineering described exactly as it shipped.
A campaign operating system over a unified voter-and-donor graph, with ML turnout and persuasion scores per voter. New states onboard through one command: profile the file, score it, verify every page, go live.
A HIPAA-grade platform across clinic, patient, and platform-admin surfaces with product-level pharmacy routing, failover, and a seven-year immutable audit log, each phase verified against numbered requirements before it merged.
A white-label compliance scanner an agency resells under its own brand: it crawls a site, grades the privacy policy with a language model, and runs scheduled re-scans with automated outreach on a cron.
A no-code automation agency usually connects tools you already pay for, a CRM, a form builder, a spreadsheet, using a workflow platform, then drops a language model into a step or two to summarize or classify. The result typically lives inside the agency's own tool license. We write software instead: typed services, a real database schema, tests in CI, and a pull request in your own repository reviewed by a named engineer, deployed into your own cloud account or VPC from week one.
A Builder Pod is $7,500 a month for one active build track with a pod lead and a two-engineer bench, enough for a single lead-routing pipeline or a document-ingestion system against one data source. A Growth Pod is $10,000 a month for two concurrent build tracks with a three-engineer bench, the right fit when two automations need to ship in parallel or the work needs architecture planning up front. Work spanning three or more departments moves to a custom Enterprise Organization Pod.
Most pods start work within 5 business days of the first planning session, with the first shipped piece landing in week one or two. A single-workflow automation typically runs 1 to 3 months end to end; something spanning multiple systems or a heavier compliance load runs 3 to 12 months.
We build a scraper or a browser-driven connector against the system as it exists rather than waiting for a vendor to publish one. Two-way sync, webhooks, retries, and dead-letter queues get built around whatever access actually exists, so the automation doesn't stall because one system in the chain never shipped an API.
Yes, from week one. Everything ships into your own repository and cloud account or VPC, with full ownership of the code, the data, and the IP and no license-back to us. If the engagement ends, the system keeps running, because nothing in it calls a service we alone operate.
The model call sits behind a typed interface in your codebase, not hardcoded through the automation. Swapping a provider or a model version means changing that interface, not rebuilding the pipeline, and an eval suite scored against known-good inputs catches a regression before it ships rather than after.
Yes, deployed inside your own VPC with a signed Business Associate Agreement and audit logging built into the pipeline rather than added afterward. We describe this as HIPAA-aligned under a signed BAA, since there is no such certification to hold for HIPAA itself, and we have shipped a HIPAA-grade compounding-pharmacy platform under exactly that model, with a seven-year immutable audit log.
That's what the automation audit is for. A forward-deployed engineer spends time inside your operation, maps the work by hours and cost, and hands back a ranked shortlist with a working prototype of the top candidate, before anyone commits to a build.
What AI automation agencies typically deliver, how pricing works, and when a custom pod is the better call instead.
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Thirty minutes to map your problem to a plan and a timeline. You will leave the call with scope, price, and a start date.