Structify

Structify is an AI data platform to map, organize, and query data across connected systems with plain-English analysis and scheduled playbooks.

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Overview

Structify is an AI data platform that brings business intelligence, operations, and interface workflows into a single operating layer. It is built to automatically discover, map, and organize data across separate systems so teams can work from a shared source of truth.

The product centers on a context layer made up of a living data map and a context handbook. That layer supports ad hoc reporting, recurring playbooks, and connected workflows, while also helping answers stay aligned as data and business logic change.

Core capabilities

Living data maps

Structify builds and maintains a living map of your data so teams do not have to manually track where information lives or how systems connect.

Context handbook

The platform captures and updates shared definitions, metrics, and business logic in a handbook that serves as a common reference for people and agents.

Ad hoc analysis in natural language

Users can ask questions in plain English and explore data conversationally without SQL, VLOOKUPs, or analyst handoffs.

Scheduled playbooks and workflows

Structify can run scheduled questions, reports, and workflows so recurring analysis stays current without being rebuilt manually.

Workflow delivery across tools

Outputs can be pushed into existing systems such as CRMs, warehouses, internal tools, Slack, and Teams so insights can trigger action where teams already work.

Messy data cleanup and enrichment

The platform is built to handle messy data tasks such as matching, deduping, cleaning, and structuring across systems.

Common use cases

Create a shared source of truth
Operations and analytics teams can connect scattered systems, define shared metrics, and reduce the time spent chasing where a number came from.
Answer cross-functional business questions
Revenue and strategy teams can ask questions in plain English, get ad hoc reports, and trace outcomes across CRM, support, product, and marketing data.
Automate recurring reporting
Teams that need recurring reporting can schedule playbooks for weekly or ongoing analysis, keeping dashboards and reports aligned as the business changes.
Monitor revenue operations
GTM and RevOps users can surface stalled deals, quantify revenue at risk, and identify where pipeline or conversion is breaking down.
Operationalize findings across tools
BizOps and support teams can identify recurring issues in tickets or operational workflows, then push results into the systems the team already uses.

Pros and Cons

Pros

Combines data mapping, shared definitions, and analysis in one platform.
Supports ad hoc questions in plain English without SQL.
Runs scheduled reports and workflows so recurring analysis does not need to be rebuilt manually.
Can push outputs into existing tools such as Slack, Teams, CRMs, and warehouses.
Addresses messy data tasks like cleaning, matching, and deduping across systems.

Cons

The public source does not provide a complete integration list or setup flow for every supported system.
Pricing, package structure, and plan limits are not shown in the provided pages.

FAQ

What kinds of systems can Structify connect to?

Structify is designed to work across connected systems through its data map and context layer. The source material highlights use with Slack, Teams, CRMs, warehouses, internal tools, spreadsheets, PDFs, and websites, but it does not provide a full setup checklist.

How do teams use Structify day to day?

The product pages describe three main workflows: building a living context layer, asking ad hoc questions in plain English, and scheduling recurring playbooks or workflows that stay current as data changes.

What outputs does Structify produce?

The source says outputs can be pushed into tools your team already uses, including CRMs, warehouses, and internal tools. It also mentions alerts and collaborative analysis in Slack or Teams.

How does Structify keep results up to date?

Structify positions its context layer as the mechanism for keeping answers aligned as data changes. The source also says it uses the data map and handbook to avoid stale logic and broken dashboards, but it does not spell out every edge case or limitation.

Is pricing listed on the site?

The site presents Structify as a platform for teams that need a shared source of truth, ad hoc analysis, and recurring playbooks. Pricing details are not shown in the provided source excerpts.

Quick Facts

Category: AI data platform
Primary users: RevOps, GTM, BizOps, Strategy, and Data & Analytics teams
Core workflow: Context layer plus ad hoc analysis and scheduled playbooks
Input types mentioned: CRMs, spreadsheets, PDFs, websites, warehouses, Slack, and Teams
Integrations: 3,000+ systems mentioned on the context page
Source domain: structify.ai