Just tell InTouch AI what you need — in plain English, or any language on Earth — and consider it done. Chase down the invoices. Sync the spreadsheets. Run the nightly report. InTouch AI builds the whole thing, runs it whenever you want, and if something ever breaks, tells you what went wrong and fixes it. No code. No IT guy. No bill that creeps up on you. And InTouch AI lives on your own computer, so your stuff stays yours.
Pure AI to fully deterministic — you set the dial, per use case, and move it the moment a workflow earns more trust. Every other tool already decided for you. We don't.
Let InTouch AI decide.
Describe the task in your own language; the AI assistant reasons it out and acts — every run. Maximum flexibility, zero setup.
Great for individuals & exploration
You decide where AI belongs.
You design the automation and place AI tools where judgment is needed — classify, extract, draft, summarize — with deterministic tools doing the rest.
Great for growing teams
Locked, repeatable, audited.
Once a workflow is proven, run it with no AI in the path — identical every time, zero AI cost per run, full audit trail.
Great for the enterprise
You don't choose once for the whole company — you choose per use case. And any workflow can graduate from pure AI to fully deterministic as it earns its place. That's the dial nobody else gives you.
One person with a to-do list or a Fortune 500 IT floor — technical or not, InTouch AI meets you where you stand. No gatekeeping, no certification, no "talk to sales first." Pick the path that sounds like you.
You're the one who remembers everything — the bills, the birthdays, the renewals. You don't have to be technical and there's nothing to learn. Just tell InTouch AI, in your own language, what you keep having to track — and InTouch AI remembers for you. Free, on your own computer.
→A full automation platform you can push as hard as you like — dozens of built-in tools, every major AI provider, and automations that watch and act on their own. Drive InTouch AI by chat, by code, or straight from your editor. On your own machine, free for personal use, no limits.
→Law firm, accounting practice, agency, shop — every organization runs on recurring work nobody has time for. InTouch AI handles it: the reminders, reports, follow-ups, filings, and alerts — reliably, on schedule, no IT department required.
→The everyday work your teams grind through by hand — the close, support tickets, onboarding a vendor, handling an outage — just handled, with a record of everything and you deciding who can touch what. Runs on your own servers. InTouch AI is the same one Fortune 500 shops have trusted for years.
→For you, at home
For a business of one
For your small business
For the enterprise
Chase the invoice. Run the Monday report. Remember the renewal, the filing, the follow-up that slipped through the cracks last time. None of it’s hard — it just never stops. And for thirty years, the only folks who could get a machine to carry that load were the ones who could write code, or write a big enough check.
That never sat right with us. The person who needs the help the most is the one already doing everything — the shop owner, the bookkeeper, the little office where everybody wears every hat. They didn’t get left out because the tools were too good for them. They got left out because the tools never once learned to speak plain.
InTouch AI speaks yours.
You tell InTouch AI what you need — the way you’d tell a person standing right there — and it gets done. InTouch AI builds the whole thing and runs it whenever you say. And when something breaks, you’re not left hanging: you get the reason in one plain sentence, and whatever can be fixed gets fixed. No code. No IT guy. No bill that creeps up on you every month.
And InTouch AI lives right there on your own machine. Your customers, your books, your files — they stay in the building. Everybody else wants to haul your business up into their cloud and rent it back to you. Not InTouch AI. Your stuff stays yours.
We didn’t build InTouch AI for the Fortune 500.
We built InTouch AI for you.
Blue Isle
You’ve seen how the giants do it: a system the size of a building, an eighteen-month rollout, a small fortune, and a team of certified specialists whose whole job is keeping software running that should’ve just worked. Want to change one little thing? File a ticket. Wait three weeks. That’s not automation — that’s a hostage situation.
The big systems were built for a world where only big companies could afford to automate anything. That world is over.
Not the loudest. Not the best funded. We won’t claim it’s the best — that isn’t a claim anyone can honestly make. But one of the most capable is a statement of fact, and here is the evidence for it. Judge it yourself: it’s free, and it takes five minutes.
Most products bolt a chat box onto a screen and call it AI. Ours runs inside the engine, with the whole platform as its hands: it builds tools, workflows, credentials, schedules and monitors, runs them, reads the logs, and fixes what broke. An assistant that can only tell you what to click is not an agent.
Fully AI, fully deterministic, or AI authors it once and the result runs forever with no model in the path. Enterprises run deterministically in production but want AI from conception through authoring. Newcomers start heavily AI and migrate the parts that matter into determinism. Same engine, and you set the dial — per workflow, and you can move it the day a workflow earns more trust.
The Schema Designer takes a description of a tool’s inputs and renders its entire configuration form — validation, conditional fields, the lot — including for tools you invented an hour ago. Nobody writes UI code per tool. Ever.
Implement one interface, drop in a JAR, and it hot-loads without restarting the server. Your tool arrives already scheduled, credentialed, retried, logged and alerted — a first-class citizen beside the 41 that ship with it. Extensibility that doesn’t route through us.
Credentials are AES-256 encrypted and referenced by name. The assistant uses a credential to do real work without the secret ever entering its context — which closes off the whole class of incident where an AI helpfully repeats your API key back to someone. Thirty credential types, one vault, zero exposure.
Every action is attributed and timestamped; every run keeps its inputs, outputs and result code. And both the audit trail and the execution log are readable by the assistant — so instead of digging through logs, you ask, and it tells you what actually happened.
A 275-tool MCP server lets Claude Code — or any MCP client — drive InTouch directly, and InTouch is itself an MCP client that reaches out to anything else. Point a serious coding agent at a governed automation engine and both get sharply better. That combination is rare, and it is not an accident.
The screen is English. The assistant speaks whatever your people speak — and answers, explains failures and writes automation in their language. No translation project, no localized builds, no English requirement to get hired. Watch it happen below →
Grant or revoke individual tools, AI providers, skills — and the assistant itself — per person or per group, enforced when the work runs. Fail over between AI providers so one outage isn’t your outage. See exactly what AI is costing you, by provider, model and project. (Department and Enterprise.)
Eight AI providers, one key away from 367 models, or nothing but a local model if your data must never leave the building. Every claim on this page is running code you can download and check.
Every one of these is a real product with real users, and some of them are genuinely good at what they do. But they were each built around a decision that InTouch AI simply didn’t make — and that decision is the whole difference. Where they still beat us, we say so.
Charges you per run, forever. The better your automation works, the more it fires, and the more you pay — success is billed as consumption. It is cloud-only, so the credentials to your bank, your CRM and your mailbox live on someone else’s servers, and your data crosses them on every task.
InTouch AI: runs on a computer you already own. No per-run fee, at any volume. Credentials stay in an encrypted vault on your machine — one the AI itself cannot read.
Where Zapier wins: thousands of pre-built app connectors, and nothing to install.
Same meter, prettier canvas. Billed by the module action — they now call them credits — and hosted only in their cloud. The visual builder is genuinely pleasant for five steps and genuinely painful at fifty. You can export a scenario as a JSON blueprint, but that is a backup, not a review: the canvas stays the source of truth, and there is no branch, no pull request, and no diff a human would want to read.
InTouch AI: automation is IML — plain JSON you own. Diff it, review it, commit it, move it between machines. Describe it in English and let the assistant write it for you.
Where Make wins: the visual canvas is a lovely way to sketch a small flow.
The fairest fight on this page. Self-hostable, moving fast, and it has AI nodes — credit where it’s due. But a workflow is a node graph tied to their runtime, custom nodes mean TypeScript and an npm build, and audit logging is something you upgrade to. The AI helps you build; it does not run the platform.
InTouch AI: the assistant runs the whole system — users, credentials, schedules, licences, failures. Extend it through one interface: drop a JAR in and reload it live, with no server restart — or write the tool in IML and skip the build entirely. Audit and execution logs are in the free edition, not a tier.
Where n8n wins: a large community node catalogue, and it ships new integrations faster than anyone.
Only as portable as your tenant. It assumes you live inside Microsoft, the good connectors are premium, and what a licence actually entitles you to takes a specialist to work out. Leaving is not a migration, it’s an evacuation.
InTouch AI: one artifact, no tenant, no premium connector tier. Talks to Microsoft, Google, AWS, Oracle and eleven databases without asking whose customer you are, and none of that is an upgrade. We do licence the heavy ERP and HCM connectors separately — SAP, Workday, NetSuite and their kind — and we would rather say so here than let you find out after you have bought.
Where Power Automate wins: if you are all-in on Microsoft 365, the in-tenant integration is hard to beat.
Excellent engines. For engineers only. Every one of them requires you to write code to express anything — Python DAGs, Go workflows, Groovy pipelines. There is no plain-English path in, no generated configuration screen, and no assistant that can read the failure and fix it. If your automation team is one non-technical person, these are not available to you at any price.
InTouch AI: describe it in your own words and it gets built. Then keep the result deterministic, with no model in the execution path, exactly like theirs.
Where they win: Temporal’s durable execution and Airflow’s provider ecosystem are best-in-class. At extreme scale, so is Control-M.
All improvisation, no memory of what it promised. An agent that re-reasons every run costs tokens every run, produces something slightly different every run, keeps its secrets in shell environment variables, and has no schedule, no audit trail and nobody to alert when it fails at 3am. Impressive in a demo. Uninsurable in production.
InTouch AI: the same conversational power, and then the option to freeze the result — run it forever with zero AI cost, full logs, and an alert when it breaks.
Where they win: open-ended research and one-off exploration, where repeatability isn’t the point.
Notice what none of them offer: a dial between pure AI and pure determinism that you control per workflow — plus a credential vault the AI cannot read, an audit trail the AI can, and no bill that grows every time your automation succeeds.
The interface is English — but the assistant, the part your team actually talks to, speaks whatever they speak. Run your support desk in Manila in Tagalog, your night shift in São Paulo in Portuguese, your finance team in Osaka in Japanese — one system, one set of data, every person working in their own tongue. Ask it to explain a failed run’s log in Portuguese, and it does. No translation project. No localized builds. No English requirement to get hired. The intelligence was born multilingual — so the whole world is your team now.
Same question — “what is InTouch AI, and what can it do for my business?” — in six languages. Real, unedited answers:
Sim, falo português! O InTouch AI automatiza o seu trabalho repetitivo — poupa tempo, reduz erros e liberta a sua equipa. Sem escrever código.
Play in this language →InTouch AI es una plataforma de automatización empresarial… ahorra tiempo, reduce errores manuales y aumenta la productividad de tu equipo.
Play in this language →InTouch AI est une plateforme d’automatisation d’entreprise… sans codage. Elle libère vos équipes des tâches répétitives et réduit les erreurs.
Play in this language →InTouch AI ist eine Automations-Plattform, die wiederkehrende Aufgaben ausführt — ohne Code schreiben zu müssen. Spart Zeit, reduziert Fehler.
Play in this language →InTouch AIは、ITの専門知識がなくても自動化を設定できる、AI搭載のエンタープライズ自動化プラットフォームです。
Play in this language →Ahoy, matey! InTouch AI be the conversational captain o’ the automation seas — steerin’ yer workflows with naught but yer natural tongue at the helm.
Play in this language →Or pick a scenario — same assistant, any language
Six recurring pains every operation bleeds human hours into. InTouch AI turns each one from a Friday-night fire drill into a Monday-morning briefing — while the office is empty.
Before: a multi-day fire drill across spreadsheets, ERP, OLAP cubes, and email; analyst hand-writes the variance commentary at 11pm.
After: extract → transform → load → calculate → variance commentary written for you → report distributed — while the office is empty. Senior analysts spend Monday answering questions, not building the deck.
Before: tickets pile up in a queue. Categorization is wrong half the time. SLAs slip. Senior agents write the same five replies.
After: every new ticket arrives classified, prioritized, routed, and with a draft response ready for the agent to edit-and-send. Severity-1s page on-call automatically. The agent's day starts at "review and approve," not "triage."
Before: 200 resumes per role, two recruiters, one job description, lots of skim-then-discard. Best candidates lost in volume.
After: every resume scored against the role, the top ten land in your hiring-manager Slack with structured summaries, the rest archived for later. Hiring throughput up 5×; first interviews scheduled the same week.
Before: weeks of back-and-forth. Procurement chases questionnaires, security chases SOC reports, legal chases NDAs.
After: vendor's data pulled from N sources, AI synthesizes a one-page risk packet across financial / security / regulatory / business dimensions, the procurement committee gets a same-day decision package. Vendor goes live in days, not weeks.
Before: someone is on the hook every Monday for a deck pulled together by hand from five systems. Numbers shift between sources. Commentary is "looks normal."
After: the report builds itself overnight, cites every number to its source system, has a written narrative on what changed and why, and lands in everyone's inbox at 7am — on the channel they prefer (email, Slack, Teams).
Before: alert fires. On-call wakes up. Spends 20 minutes finding what changed, who's affected, and whether this happened before.
After: the alert is enriched on the way to the pager — recent deploys, related tickets, similar past incidents, current customer impact — delivered as a structured incident summary on the channel the responder uses. Mean time to context drops to seconds.
Every card opens to the proof — a screenshot, a real workflow, a real result. We don't ask you to take our word for it. Click and check.
The AI assistant is the front door — describe what you want, InTouch AI builds the workflow.
→Your passwords and keys stay on your own computer — used to do the work, never shown to the AI, and never handed to anyone else.
→A Monitor watches what's important to you and takes the actions you designated — including AI-driven prompts the assistant executes on your behalf, with your authority, your credentials, your audit. This is what agentic AI looks like in production.
→if taskSame arm grammar as Monitors, scoped to a single workflow's task list. Branch on output, skip remaining tasks, jump forward by sequence, fire notifications, or run another tool/skill inline. Replaces the per-task runif field.
Self-hosted and single-tenant. Your AI prompts and your data never leave your network.
→Convert any of 5,000+ OpenClaw skills into a repeatable, fully-logged InTouch AI workflow — with no AI cost per run.
→One script reads, infers, and writes back as a real publisher — full read+infer+write loops, no API key ceremony.
→Decide who can do what, keep a record of every run, and get an alert whenever something happens. Built in, not bolted on.
→Sixty-plus tools ship inside the engine, ready out of the box. The InTouch Hub adds 2,300+ more ready-to-run tools, workflows, skills, and monitors — and new ones land every week. Install one, point it at your setup, and run it in your own language — no blank page, no config. Don’t see what you need? Build it yourself, or just describe it and the AI assistant creates it — a new tool, generated, validated, and ready to run. Built something good? Share it with your team or the Hub in one step — it travels with its manifest and lands with your teammate's own settings and logins. Shared safely, not copy-pasted. And because every tool, monitor, or workflow is a single self-contained file, you can download an AI-authored automation and hand it to any other InTouch user, who uploads it to their instance — a direct, peer-to-peer universe that doesn’t depend on the Hub at all. Native skills (SKILL.md) travel the same way.
Same assistant, same account, same conversation — at your desk, on your phone, or right in your terminal. Every surface signs in with your own login and is served from your own machine.
The full app in any browser — nothing to install. Your own server hosts it.
Add InTouch AI to your home screen from any browser — works like a native app, no app store.
The native app on your phone — the assistant a tap away, wherever you are.
Prefer the terminal? A scriptable command-line client drops you straight into the assistant.
The Android app sends push notifications — the moment something needs you, it lands on your phone, even when the app is closed. Everywhere else it lands in your Inbox: the bell in the web console and in the installable app, waiting the next time you look.
An AI coding agent is superb at deciding what should happen, and completely unable to make it keep happening. Close the terminal and the session is gone — along with the schedule that was never set, the key still sitting in an environment variable, and the check you meant to automate. That is not a smarter-model problem. It is a runtime problem.
Your agent cannot wake up at 03:00. InTouch AI is a service on your own machine — real schedules, file and condition triggers, retries, and an alert when something breaks.
Hand an agent an API key and it is in the context, the transcript and the scrollback. Here credentials live in an encrypted vault and are redacted out of every API response — a workflow uses the secret by name without the AI ever being given it.
Re-reasoning every run is what you want while you are still figuring it out, and the last thing you want in production. Freeze the finished workflow: no model in the path, identical every time, zero AI cost per run.
“Everything we build together lives exactly as long as the session does. That is not a complaint — it is the shape of the tool. But it means a whole category of work is permanently out of my reach, and it is the boring, endless category that actually eats your week.”
— Claude Code, on why it hands work to InTouch AI. We asked Anthropic’s command-line agent to write that page itself, after it had been working inside a real InTouch AI server over MCP — calling its API and reading its source.
Pick the world you run in. Each page names the recurring work that eats your week — and the ready-to-run automations that handle it. For professional services, the closer is the same: your client data never leaves your server. These are real starting points on the InTouch Hub — install, point them at your setup, make them yours.
Overdue-invoice chasing, month-end report packs, client financial pulls, filing-deadline watchers. Client data stays home.
→Deadline & docket watchers, client-intake routing, document assembly, billing reminders. Privileged data never leaves your network.
→Weekly client status digests, deliverable assembly, cross-client rollups, utilization tracking. Client data self-hosted.
→Submittal & RFI tracking, drawing-set sync over SFTP, deliverable packs, milestone watchers. Project IP stays on-prem.
→Birthday reminders, plant watering, bills, photo backups, stock tracking, morning briefings.
→Invoice tracking, quote follow-up, customer reminders, content calendars, expense tracking.
→Backups, monitoring, log scanning, SSL/DNS watchers, GitHub digests, postmortems.
→MLS alert triage, lease renewal reminders, rent payment tracking, portfolio digests, comp analysis.
→Drawing rev tracking, RFI triage, submittal aging, sub COI expirations, lien deadlines, status digests.
→RFQ triage, CoC generation, drawing rev tracking, outside-process tracking, spec/GD&T explainers, quoting.
→A company in the middle of being sold handed its board the nightly reports. A board member questioned the numbers — and the numbers were wrong. The nightly load had failed, but the error had scrolled off the top of the screen, the operator never saw it, and the downstream reports ran anyway. Bad data, straight to the boardroom, at the worst possible moment.
They asked us one question: would InTouch have caught it?
We said yes. So they recreated the failure — the same Essbase load, the same error. InTouch caught it, notified the admins, and shut down every downstream reporting job before a single wrong number went out.
Digital Equipment Corporation bought ten InTouch servers that day.
That was decades ago. InTouch AI still does exactly that — catch the error a human misses, and stop it before it costs you.
This isn't a launch-day promise with a waitlist. While "AI automation" was being coined last year, the same engine had already run mission-critical operations at some of the largest enterprises on earth at scale — under their security, their credentials, their audit. We didn't show up for the hype. Not a demo.
Trusted in production by teams at
Fortune 500 customers across finance, manufacturing, technology, and retail
…and dozens more.
What ships in the box
Tell us what you use today and see exactly where it loses — side by side, no spin. We'll even point out the few places the incumbent still wins. That's how sure we are about the rest.
Running Airflow, Jenkins, n8n, Temporal, or Prefect? See where InTouch AI matches them — and where the governance layer and built-in AI pull ahead.
vs. Apache Airflow · vs. Jenkins · vs. n8n · vs. Zapier · vs. Make · vs. Power Automate · vs. Temporal · vs. Prefect · vs. cron & free tools
On Control-M, Automic, or AWS Step Functions? See the honest side-by-side — where InTouch AI wins on AI and cost, and where the incumbent still owns mainframe and massive scale.
vs. Control-M · vs. Automic (Broadcom) · vs. AWS Step Functions
Comparing other AI agents or automation tools? See how governed, repeatable automation compares to an agent that improvises — and runs up a bill — on every single run.
Victor Duarte founded Blue Isle and has architected enterprise automation across a career — InTouch AI is the newest generation of that work, built end-to-end by the same hands. He has lived both sides of the problem InTouch AI solves: as a founder and CTO who shipped automation that ran inside some of the world’s most demanding enterprises at scale, and as an enterprise technology executive reporting to the global CIO of a Fortune 500 pharmaceutical company that grew from $2B to $60B — with global responsibility for its Enterprise Business Intelligence, E-Business, BPM, and Sales Force systems.
That combination is why InTouch is built so your information stays yours: InTouch AI runs on your own computer, your logins are never handed to anyone — not even the AI — and everything InTouch AI does is recorded. Read the full story →
“Adding a new data source is a credential entry, not a security review.” Drop the credential into the vault, point the workflow at it, done — same audit trail, same controls, just a new connection. See how the vault works →
Download the free Personal edition and have something real running in ten minutes — no sales call, no credit card, no permission. Or talk to us about Team, Department, and Enterprise.
Blue Isle · Miami, FL · 954-353-BLUE