Live AI demo: One workflow shape: URL in, 6 planned images back. Yours can be anything.
Live Demo · Custom AI Workflows

Custom AI workflows.
Any input in, any output back.

The example below turns any page URL (blog post, landing page, product page, help article, whatever) into a set of AI-generated images. That's one workflow. Yours can be anything: PDF to Notion doc, contract to Slack risk summary, recording to CRM update. You describe what your team needs, we build it.

How many images
Image style (optional)
Brand colors (optional)
Special instructions (optional)

Public demo: each URL can be used up to 5 times. Each image can be regenerated up to 3 times. Download your images within 1 hour.
Images are generated without text by default (models render words with misspellings). Need text on an image? Use Tweak on that card and ask for it.

Reading from

Your browser may ask permission to download multiple files. Choose Allow.
Where this leads

The real potential of AI as a workflow.

A chat window is a novelty. AI wired into a workflow is a system that runs whether anyone opens a browser or not. Once the shape is in place, the surface area of what it can do keeps expanding.

Any input
From anywhere your data lives
Web pages, documents, audio, video, spreadsheets, live databases, webhooks, sensors. If it produces information, it can start a workflow.
Any output
Where your team already works
Chat, inbox, CRM, docs, dashboards, tickets, calls, database writes. The result lands where the work happens, not in a separate window.
Every team
Not just engineering
Legal, sales, support, ops, marketing, finance, HR, product. Every team has repetitive judgement work that a well-scoped workflow can carry.
Always on
Not a chat you have to open
Fires on a schedule or on an event. Runs when your team is asleep, on holiday, or scaled to a different continent. Compounds the value.
Any scale
From one record to millions
Same workflow handles a single new file or a nightly sweep across your entire data footprint. Scale is a config change, not a rebuild.
Under the hood

The shape of any custom workflow we build.

Every workflow we deliver has the same skeleton, whatever the inputs and outputs are. The demo above uses the URL-to-images variant. Yours uses your own inputs and lands where your team works.

Any input adapter

URL fetch, PDF or DOCX parsing, audio transcription, CSV or spreadsheet read, webhook payload, direct database pull. Whatever your team already has.

Planning step

The workflow decides what needs to happen for this specific input. Sections to summarize, images to plan, fields to extract, actions to route. Adaptive per input, not a fixed template.

Model of your choice

A leading enterprise API under a zero-retention contract, or a self-hosted open-weights model running inside your VPC. Your data does not become training data for anyone.

Any output surface

Notion doc, Slack post, CRM record, email draft, dashboard tile, database write, webhook to another system. The output lands where the work actually happens.

Your infrastructure

Cloud, on-prem, or a mix. Your VPC, your database, your storage, your auth. Nothing needs to move to a vendor's stack for this to run.

Scheduled or event-driven

Runs nightly, hourly, per-record trigger, or on any event. Not a chat window someone forgets to open. The value compounds because it always runs.

The engagement

4 steps from your workflow idea
to something running on your stack.

The pattern we follow for every custom AI workflow. Fast start, live inside your infrastructure, iterated with real usage.

01

You describe

Tell us what goes in, what should come out, and where the output should land. A short brief on Upwork is enough to start scoping.

02

We scope + design

Inputs, transformation steps, outputs, and integration points mapped end-to-end. You sign off before any code lands.

03

We build the first slice

A working version of the workflow on your infrastructure, doing the core transformation end-to-end. Same shape you see running above.

04

It runs, and it grows

Scheduled or event-driven, wired into the tools your team already uses. Additional inputs, output surfaces, and edge cases layer on with real usage.

Frequently Asked Questions

What kinds of workflows can you build?
Anything with a defined input, a decision or transformation step, and a defined output. Real examples we have built or scoped: contract PDFs to a Slack risk digest, meeting recordings to a Notion action-item doc, support tickets to CRM enrichment, CSV upload to an interactive dashboard, voice calls to a templated follow-up email, invoice PDFs to accounting export, RSS feeds to a weekly newsletter. The URL-to-images example on this page is one shape of the same pattern.
How long does a custom workflow take to build?
A first working slice, on your infrastructure, doing the core transformation end-to-end, typically lands within days once scope is agreed. Additional inputs, output surfaces, and edge-case handling layer on from there once you have proof from real usage.
Where does the workflow run, and is our data safe?
On your stack. Cloud, on-prem, or a mix. You pick the AI provider based on how sensitive the data is: a leading enterprise API under a zero-retention contract, or an open-weights model hosted entirely inside your own VPC or on-prem so records never leave your environment. Either way, your data does not become part of any public training set.
Can you wire it into the tools we already use?
Yes. Slack, Notion, HubSpot, Salesforce, Zendesk, WordPress, Ghost, Contentful, Sanity, Airtable, Google Workspace, custom CMS, custom CRM, internal databases, webhooks. The output lands where the work happens, not in a separate chat window someone has to remember to open.
Does the workflow keep running, or is it one-off?
Keeps running. Once integrated it fires on a schedule (nightly digest, hourly refresh, per-record trigger) or on an event (new PDF uploaded, new call ended, new ticket opened). The value compounds because the output is always current.
What is the live URL-to-images example on this page?
One concrete workflow shape. Paste any public page URL (blog post, landing page, product page, help doc, whatever) and the AI reads the body content, plans 6 image concepts matched to that page, generates each at the aspect you choose, and lets you regenerate individually. Same engagement pattern as any other custom build we deliver, just with a working artifact you can try in the browser.
Do you save or reuse the data going through workflows?
Not on this public demo. Fetched page text lives in memory only for the duration of the run. Generated images sit on the server for 1 hour so you can download them, then get purged. Nothing lands in a database. For a custom build, your data stays entirely on your stack with your choice of retention policy.
Does it work in other languages?
Yes. Workflows handle Hindi, Spanish, French, German, Portuguese, Arabic, Mandarin, and most major European and Asian languages end-to-end, source language in, target language out, or the same language throughout.
Can Entexis build a custom AI workflow for our team?
Yes. This is what we do. Hire us on Upwork with a short description of your workflow (what goes in, what should come out, where you want the output to land) and we scope it. First working slice on your infrastructure once scope is agreed, iterated with your team from there.
Looking for similar solutions?

Custom AI workflows, wired into your stack.

The demo above is one shape. Contract to Slack, recording to Notion, ticket to CRM, CSV to dashboard, voice to email, or whatever your team actually spends time on. First working slice quickly, on your infrastructure, with your files staying on your side.

See our track record, client reviews, and completed projects on our Upwork profile.