Diaflow

What the product is

Diaflow is an AI agent platform for businesses with a workflow builder inside it. Its home page is titled "Autonomous AI Agent platform for businesses" and describes "one place for how your team actually works": chat, research, reasoning and creation in one workspace. It is written for teams that want to move from AI pilots to company-wide use, and it says anyone in a company can use it "without bothering engineering team". The company behind it is Diaflow Pte. Ltd., and its footer says the product is "born and engineered with love from Saigon, Singapore, NYC, and Zurich".

What you build and how

The site breaks the product into named parts, each with a one-line description. Chat is the front door: a familiar, chat-based interface where you research, reason and create. Teammates are the autonomous AI agents, described as agents that work 24/7 without human prompts. Studio is where you "create workflows and automations to solve complex problems", and it is the part that earns the workflow-automation label. Tables are "intelligent data for you and your agents to collaborate". Pages is for drafting, editing and creating content, and Drive is cloud storage "that keeps everyone in sync". A Wiki also appears in the product list, with no description on the home page.

The use cases on the home page show what the workflows are meant to do. Business and finance teams get invoices extracted, expenses checked against policy and reconciliation done overnight, with a human reviewing the exceptions. Marketing gets briefs turned into drafts, campaign data from four platforms combined into one report, and content routed and published. Sales gets leads researched and scored into a CRM and call notes summarized with follow-ups drafted. Product and engineering teams get tickets triaged, release notes drafted and user feedback clustered into themes. Education gets material drafted, submissions pre-marked and student questions answered from your own courseware. HR and hiring gets CVs screened against the brief, interviews scheduled and onboarding that "runs itself". These are the company's own descriptions of outcomes, not step-by-step tutorials.

Studio is presented as the place where those outcomes get built, and the company's pitch is that you rarely start from a blank page. You can start from templates: "pre-built apps, prompts, projects to get started in minutes". The home page also points to "thousands of pre-built templates from creators around the world", a community with 1k+ creators, a Discord server and a marketplace where you can browse community templates.

Reach and integrations. The footer links an Integrations page, and the sales use case describes leads being scored into your CRM. Mobile apps are listed: the page says "iOS and Android apps available to connect with teammates on the go", with App Store and Google Play buttons. Solutions pages are listed for marketing, finance, media production and founders and CEOs.

Control over AI usage is a theme. The home page says "Diaflow enables companies to track every data in and out with detailed usage logs", and it frames the product as one place to manage the AI your company already has. It also lists role permissions and audit logs "for every security review". On data handling it says content is "never used for training. Not ours, not anyone's", and that files, records and embeddings are "isolated by workspace" and "scoped to you, never pooled".

The company also publishes a long guide on enterprise process automation. It defines the term as end-to-end process orchestration that combines integrations, rules, human tasks and automation, including RPA and AI where appropriate, and it separates that from RPA, BPM and iPaaS. It frames workflow automation as automating a sequence of tasks within a team or tool. The guide is educational and does not describe Diaflow's features, so it tells you how the company thinks about the category, not what the product does.

What the pages state

Pricing. The home page has a cost comparison that adds up what a team might pay for separate tools: an automation tool at $69, a database at $20, docs and collaboration at $20, AI chat seats at $20, a vector database at $20, model API spend of about $30 and about 5 hours a month of engineering time to glue it together. The total is "~$160/month billed separately". Against that, Diaflow is listed at $16 a month, marked "One bill, billed yearly", with "4,000 credits included" in place of the model API spend and the other lines marked as included or not needed. The page carries "Get Started for Free" and "Start Automating Free" buttons and a Contact Sales link for larger teams.

Customer claims. 2 testimonials appear. Kevin Nguyen, COO at Devtify Technologies Corporation, says "Diaflow delivered efficiency through real-time visibility and automation, cutting manual work", and the page says Devtify saved $10,000 every month using Diaflow in software development. Huong Totten, CIO of Paralel, says "With Diaflow, we can effortlessly extract data from many sources, including internal and external", and the page says Diaflow helped Paralel save hundreds of hours processing data every month. The page also shows counters for tasks executed, time saved and cost saved, with no figures stated.

Security and compliance. The home page section on privacy carries a "Complied with" badge area and links a Compliance Center. Its written claims are the workspace isolation, the no-training statement and role permissions and audit logs, under the heading "Access you can prove."

Support and onboarding. The page promises "zero training", saying you can start in minutes from a chat-based interface, and it links documentation, a blog, an affiliates program and a contact page.

Who it suits and who it does not

Diaflow suits an operations, marketing, finance or HR team without engineers that wants AI agents, a place to build automations and shared documents under one subscription and one set of logs. The $16 monthly figure, billed yearly, and the chat-first onboarding make it easy to try for a small team, and the workspace isolation and audit logs speak to people who have to explain AI use to a security reviewer.

It is a harder choice for someone who wants to judge the automation engine from the marketing site alone: the home page shows outcomes and a price rather than a tour of the Studio editor, so the free start is the place to try building a real workflow. And because the $16 is quoted as billed yearly with 4,000 credits included, a team with heavy model usage will want to watch its credit balance.