ADW Studio

Knowledge stays.Work flows.

Describe-to-run AI workflow builder for teams & enterprises.

Private by design. Every cost visible.

  • Runs on your computers
  • Built-in anonymisation
  • No token fees

Works with

  • Claude
  • ChatGPT
  • Gemini
  • Groq

The AI paradox

Almost every company uses AI. Few see it in the results.

88%

of organisations use AI regularly in at least one business function

McKinsey, State of AI, 2025
39%

report any impact of AI on company-level EBIT, mostly under 5%

McKinsey, State of AI, 2025
49%

of mid-size and large Polish firms were disappointed with their AI rollouts

EY, Jak polskie firmy wdrażają AI, 2026

The gap isn't the models. AI rarely leaves the chat window and becomes part of how the work is actually done.

Why chat alone falls short

A chat helps one person. A workflow helps the whole company.

AI as a chat window

  • Result depends on who is asking
  • Know-how stays in one head and one chat history
  • Every task starts from zero
  • Data pasted into whatever tool is at hand
  • Cost is invisible until the invoice

AI as a company workflow

  • Same result, whoever runs it
  • Know-how saved as a company asset
  • Built and optimised once, run every day
  • Data stays on the company's own computers
  • Every step priced, with hard budgets

What holds AI back

Three leaks that keep AI from paying off.

Know-how walks out the door

42%

of the knowledge an employee uses at work is unique to them. Colleagues can't pick it up when they leave. Plus 5.3 h a week lost waiting for information or recreating what already exists.

Panopto & YouGov, 2018

Company data outside your control

78%

of AI users bring their own AI tools to work. 48% of organisations admit entering non-public company data into GenAI tools.

Microsoft & LinkedIn, 2024; Cisco, 2024

Samsung, 2023: after engineers pasted source code into ChatGPT, the company restricted generative AI.

AI bills grow faster than AI results

4 months

is how long it took Uber to use up its entire 2026 budget for AI coding tools. Counting prompts rewards activity, not outcomes, and most teams can't say what one report costs.

Fortune, 26 May 2026; EY, 2026

The work nobody automated

The biggest opportunity is the long tail of small processes.

ERP / CRMSmall processes: manual, outsourced, or never doneCost of a classic IT project

Classic software pays off only for big, stable, high-volume processes. Every change means a vendor, a budget and another round of cost.

With ADW Studio a workflow costs a description in plain words, so the weekly digest, the contract pre-check or the survey analysis finally become worth automating.

Our answer

ADW Studio turns how your best people work into AI workflows anyone can run, on your own machines, with every step priced.

Why ADW Studio

Four promises to the business.

Built from a description

Describe a workflow in plain words and AI assembles it. Anyone on the team can then run it with one click.

Private by design

Workflows run on the employee's computer. Your data never lands in our cloud.

Costs under control

Each step priced to the token, hard budgets per workflow, the right model for each step.

Owned by the company

Proven workflows go into a private company catalogue. They stay when people move on.

The product

From description to results, on your computer.

First-run setup: add a folder, a credential and run your first process
Start free trialSee it on your own processes.

How it works

Describe it once. Run it every day.

  1. 01

    Describe

    Say in plain words what should happen

  2. 02

    AI builds it

    The task becomes clear, checkable steps

  3. 03

    Approve

    Published to the company catalogue

  4. 04

    Anyone runs it

    On a click, a schedule or a new file

  5. 05

    Result delivered

    Report, draft or file lands in your folder

Each step uses the AI model you choose

Local model

On a laptop, or on your own server via Ollama. Data never leaves.

Private cloud

Your own models on Azure or AWS.

Provider API

Anthropic, OpenAI, Google, Groq or OpenRouter when top quality matters.

Privacy by design

Sensitive data stays inside the company. By architecture, not by promise.

The employee's computer
  1. Source filesyour folder
  2. Anonymiselocal model, free
  3. Workflow stepsany model
  4. Restore nameson your computer
  5. Resultsaved locally

99.2% anonymisation accuracy in ADW's internal test on 1,083 documents

Only clean text goes out

Names, roles and identifiers are removed before anything reaches an external model.

Warned, not surprised

Choosing a public model for sensitive data triggers an explicit warning.

GDPR and AI Act by design

Data minimisation plus a trace of every run: inputs, decisions, approvals, outputs.

Costs under control

Pay flagship prices only where they make a difference.

Example: marketing's daily industry newsletter.

  1. Collect today's articles

    Cheaper modelCost: low
  2. Summarise each one

    Cheaper modelCost: low
  3. Find the insights

    Flagship modelCost: higher, only here
  4. Assemble newsletter

    Cheaper modelCost: low

Optimise once, save on every run. A workflow uses exactly the steps it needs, unlike a long chat where every question drags the whole conversation along.

Cost per step, per runHard budget per workflowVersion A vs B: cheaper, same quality?Alert when a stable workflow gets pricierSpend by team and workflow

Knowledge stays

Turn your expertise into a company asset.

  1. Senior expert

    defines the method once

  2. Workflow in ADW

    saved, versioned, approved

  3. Any colleague

    runs it on a click

  4. Same quality

    whoever presses Run

+34%

productivity for novice support agents with an AI assistant (+14% on average). AI spread the best workers' practices.

Stanford & MIT, NBER, 2023, 5,179 agents
43% / 17%

quality gain for below-average vs top BCG consultants using AI on tasks within its reach.

HBS, Wharton, MIT & BCG, 2023, 758 consultants
"This technology makes you as smart as the smartest person in the organization."
Morgan Stanley, on its AI assistant built on the firm's own knowledge. OpenAI case study

Use cases in practice

What it looks like in practice.

Today

  • Salesperson re-reads the inquiry in CRM
  • Copies prices and terms by hand
  • Formats the offer, exports PDF, emails it
  • Quality depends on who does it

Sales offer

Turn a client inquiry into a priced, ready-to-send offer.

Model: mixed
Source: CRM
  1. 01Pull the inquiryCRM connector
  2. 02Price it and draft the textAI model
  3. 03Build PDF, send for approvalAI + connector

Every offer follows the best salesperson's method.

Workflows most companies never automated, until now.

Finance

  • Invoice vs purchase-order checks
  • Monthly variance commentary
  • Expense policy screening

HR

  • CV screening against criteria
  • Anonymised survey analysis
  • Onboarding packs per role

Sales

  • Offer drafts from CRM
  • Call notes into CRM updates
  • Tender document summaries

Legal & compliance

  • Contract risk pre-screening
  • Q&A on internal policies
  • Regulatory change digests

Operations

  • Supplier document checks
  • Weekly KPI report from spreadsheets
  • Complaint categorisation

Marketing

  • Daily industry digest
  • Content variants per channel
  • Competitor monitoring

The team behind it

Built by ADW Labs.

ADW Labs is an AI company that delivers enterprise-grade software through its own agentic development workflows, and ships the same tooling as products.

ADW Studio runs in production at ADW Labs before it reaches customers. An EU company, contracting on EU terms.

Visit adwlabs.ai
  • Anonymisation before transit

    Identifying fields are stripped or pseudonymised before a single token reaches a model provider.

  • Your keys, your models

    Connect your own model accounts (BYOK). We never sit between you and your data.

  • GDPR by design

    Data minimisation and purpose limitation are built into the workflow, not promised on paper.

  • EU AI Act by design

    Every run leaves a trace, and human sign-off is a required step.

Pricing that grows with you

Plans that grow with adoption.

Start with the plan that fits your team. Scale ADW Studio as adoption and your workflow library grow.

Starter

For founders and small teams

$59/ month

billed annually

  • Creators3
  • Collaborators5
  • RunnersUnlimited
  • Process Library10
  • Private processesUnlimited
Start free trial Buy online

Team

For growing teams

$249/ month

billed annually

  • Creators10
  • Collaborators20
  • RunnersUnlimited
  • Process Library25
  • Private processesUnlimited
Start free trial Buy online

Business

For companies rolling ADW out more widely

$999/ month

billed annually

  • Creators20
  • Collaborators40
  • RunnersUnlimited
  • Process Library50
  • Private processesUnlimited
Start free trial Buy online or talk to us

Enterprise

For organisations that need enterprise governance

from$5,000/ month

billed annually

  • Custom scale of Creators, Collaborators and Process Library
  • Enterprise governance, roles and organisational policies
  • Advanced analytics and usage control
  • SLA, onboarding and support tailored to your rollout
  • Unlimited Runners and private workflows
Contact sales Annual contract only

Need more? Add capacity to any plan.

You pay only for what goes beyond your plan. The more you add, the lower the price per unit.

Extra Creator

from $29 / month each

Builds and publishes workflows.

Extra Collaborator

from $10 / month each

Co-creates and improves team workflows.

Process Library pack

+25 workflows from $125 / month

Bigger packs of 100, 250, 500 and more cost less per workflow.

Runners and private workflows are always unlimited and free. Annual prices shown with 17% off; .

No fees for tokens or runs.

ADW Studio doesn't bill the tokens your models use or charge per workflow run. You connect your own accounts for supported LLMs and pay for the platform, governance, active creators and Process Library capacity.

Next step

Start small, measure, then scale.

A workshop is the fastest way to see ADW Studio on your own processes, not on a demo.

  1. 01

    Workshop

    Map 3-5 candidate workflows with your team leads

  2. 02

    Build

    Turn them into ADW workflows on your data

  3. 03

    Measure

    Time, cost and quality vs today

  4. 04

    Scale

    Publish winners to the company catalogue

Get started today

See ADW Studio on your own processes.

Leave your details and we'll set up your free trial and help you run your first workflow.

  • We reply within 2 working days
  • NDA signed before any detail, on request
  • You talk to the team that builds the product

Prefer email? maciej@adwlabs.ai
Maciej Kołodziejczak, ADW Labs

Good to know

Frequently asked questions

Does my data go to ADW's cloud?

No. Workflows run on the employee's computer, and you choose the model for each step: local, in your own cloud, or a provider API. Folders marked as sensitive are anonymised locally before anything reaches an external model.

Do I pay for tokens or runs?

No. ADW Studio doesn't bill tokens or runs. You connect your own model accounts, see the cost of every step in the app and set hard budgets per workflow.

What are Creators, Collaborators and Runners?

A Creator builds and publishes workflows, a Collaborator co-creates and improves team workflows, and a Runner runs published workflows. Runners are unlimited on every plan.

What if we outgrow our plan?

Add Creators, Collaborators or Process Library capacity without moving to a higher plan. On annual contracts, additional capacity is 17% cheaper and prorated to the end of the term.

Where should we start?

To explore the product yourself, start a free trial. If you're planning a rollout across several teams, book a workshop: we'll map 3-5 workflows and measure the impact on your data.