AI Workflow Assessment

Find the workflow worth automating first, and what it will save.

A focused, paid assessment of one workflow: what it costs today, what to automate, what it would save and a fixed-fee plan to build it. If it isn’t worth automating, we’ll say so.

Start your brief

Step 1 of 3 · about two minutes

What should we fix first?

Where does it happen? Optional
$1,500
Fixed fee · 1–2 weeksCredited in full against the build if you go ahead within 60 days.

What you get

  • One workflow mapped end to end, as it really runs today
  • The highest-value automation opportunity, identified and explained
  • Baseline and ROI, with every assumption labelled
  • An implementation scope with a fixed-fee proposal
  • A demo dashboard of the proposed system, built on sample data
What the deliverable looks like (sample)

What happens next

  1. You send this form. It takes about two minutes.
  2. We reply by email, usually within two working days.
  3. A short call to walk through the process together.
  4. Written findings you can act on, with us or without us.
You’ll speak with Kumar SahilOr email [email protected] · LinkedIn
FAQ

Questions founders ask us.

An engineer who embeds with your team, learns how the business actually works and owns getting a system into production, rather than handing over a slide deck or a prototype. AI labs and large enterprises now hire for this role at a premium; DWARY Intech gives growing businesses that capability without the full-time hire.

A fixed $1,500 for one workflow, delivered in 1–2 weeks. If you go ahead with the build within 60 days, the full fee is credited against it, so the assessment costs nothing extra. Builds are quoted as a fixed fee once the assessment has scoped them.

It starts with an AI Workflow Assessment of one process. If there is a strong case, we scope a fixed build, ship it in weekly iterations into your existing tools, then either hand it over with documentation or keep running and improving it for you.

DWARY Intech is led by Kumar Sahil, who scopes and builds your system. As the studio grows, specialists join projects, and you always know who is doing what.

Claude, OpenAI and Gemini models; n8n, Make and Zapier; HubSpot and Salesforce; Clay and Apollo; and custom Python or TypeScript where off-the-shelf tools fall short. We build on the stack you already pay for wherever possible.

We use provider APIs and settings that do not train on your data, and build in your own accounts with your own keys wherever possible, so you own the system and the data.

Yes. We work with teams in the US, UK, Europe and Australia, as well as India, and overlap with your working hours for calls.

Yes. Mention it in the assessment form and we will sign one before you share any details.