Decisional AI: inspectable, self-healing workflows across business tools

Decisional AI builds agents that create, run, monitor, and repair business workflows across the tools a team already uses. The buyer decision is whether a self-healing workflow layer is more valuable than wiring deterministic steps in Zapier, n8n, or custom code—and whether its run history is clear enough to trust.

What it does

Decisional's current product, Dex, can build agents from plain-English instructions, connect files and tools, use deterministic steps alongside AI, and expose approvals, node logs, outputs, and run history. The homepage shows workflows for finance, operations, sales, and commercial contractors, with integrations such as QuickBooks, ServiceTitan, BuildOps, Excel, Gmail, and Slack (Decisional homepage; Decisional docs).

Fact	What the public sources say
Buyer	Finance, sales, operations, marketing, founders, and developers automating business work
Workflow	Build, test, run, monitor, repair, approve, and review agent workflows
Public pricing	Free; Growth $499/month; Scale $1,249/month; Enterprise custom
Controls	Approvals, run history, node logs, tool activity, credits, and policy are listed
Founders	Dhruv Tandon, Sai Neeraj Kanuri, and Adit Sanghvi

Why it fits

The useful distinction is that the workflow remains inspectable. Decisional can use an LLM for judgment, a deterministic step for a known path, and a human approval for a risky action. If a run fails, the system says it can diagnose, patch, retry, or request missing input. That is closer to an operations system than a prompt playground.

The pricing makes capacity a real design choice: Growth includes four agents and 75,000 credits, while Scale includes ten agents and 200,000 credits (Decisional pricing). A buyer should resolve permissions, secret handling, retry loops, data residency, versioning, human approvals, and how a self-healed workflow is reviewed before it runs again. The homepage's automation and savings claims are company statements; no workflow test was performed.

Founder context fits the product: YC describes Tandon as a former product leader at Razorpay and Drip Capital, Kanuri as an engineer at Razorpay and Arthur AI, and Sanghvi as a deep-learning engineer at Uber with patents and papers (YC company profile).

Short version: Decisional is a good fit for recurring cross-app work that is too dynamic for simple zaps but too operationally important for an untracked agent. Start with approvals and visible run history enabled.

Sources checked — 2026-09-19

Cohort context

Decisional AI is listed in Summer 2024. In our 2026-09-18 directory snapshot, 161 of 248 listed companies in that cohort have YC’s primary industry label B2B (64.9%). This is a current-directory comparison, not an original intake count or a performance ranking. Nine-cohort dataset.

Public website snapshot

Observed 2026-09-19T16:17:00.904Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.

Signal	Homepage observation
Product description metadata	Observed
Canonical link	Observed
H1 or H2 heading	Observed
Typed structured data	Observed
Docs/developer link	Observed
Pricing link	Observed
llms.txt link	Not observed in this response
Markdown alternate	Not observed in this response

Public observations · Collection method. Missing links here do not establish that a capability or file is absent elsewhere.