Prazto Inc. (Headquarters: Chuo-ku, Tokyo; Representative Director: Satoshi Haga), a provider of the data integration platform "Passwork," will launch "Passwork MCP," an AI integration function that allows users to build, execute, and operate business data integrations from conversations on Slack, on July 1, 2026 (Wed.). It converts natural conversation instructions exchanged on Slack into verified and reproducible data integration processes (deterministic data integration) that can be executed as production operations. This achieves both the ease of conversation and the accuracy, reproducibility, and auditability required for production operations.

◼️ Background: True Business Efficiency Lies in "Daily, Granular Tasks"

While large-scale automation often garners attention for business efficiency, what truly consumes the time of on-site staff are the small data tasks repeated daily – tasks like master data reconciliation, data preparation before reporting, and data entry between systems, all of which are a cumulative effort of seemingly minor operations.

However, it has been difficult to extend automation to these granular tasks. Traditional automation is cumbersome to build, making it impractical to apply to each small task individually. On the other hand, while generative AI offers ease of use, its outputs can be inconsistent or unpredictable, making it unsuitable for core data or production operations. These two barriers have confined efficiency improvements to only some large-scale processes.

True efficiency is only achieved when reliable integration permeates each of these "daily, granular tasks." To accomplish this, a mechanism was needed that was as easy as conversation but possessed the accuracy required for production.

◼️ Three Features of "Passwork MCP"

【Point 1】Just Converse. Execution is "Verified Deterministic Data Integration"

AI does not "judge the process on the spot." The AI's role is limited to understanding intent, and Passwork converts that intent into verified integration processes before execution. The results are the same every time, and the content can be confirmed in advance.

【Point 2】Different "Depth and Granularity" of Conversation

It goes beyond simple inquiry responses. Whether it's incremental updates or full replacements, handling duplicates, matching keys, scheduling, or mapping – the details required for business operations can be fully fleshed out through conversation, allowing for the gradual deployment of automation to granular tasks that were previously out of reach. Ambiguous instructions are not guessed; the AI will ask clarifying questions.

【Point 3】Crosses Approximately 60 Services and Hundreds of Operations

From CRMs like Salesforce and HubSpot, major databases/DWHs including BigQuery, Snowflake, Databricks, and Redshift, to accounting, BI, and advertising services – approximately 60 services can be handled across a single conversational interface.

◼️ Combination with Slack-Resident AI: Advanced Execution Control and Operational Management from Slack

"Passwork MCP" demonstrates its true value when combined with Slack-resident AI like Claude Tag. Simply by speaking to the AI on Slack, users can perform everything from data integration construction to daily operations directly from Slack, their work environment. Specifically, the following operations can be completed solely through conversation:

【Use Case Example 01】Initiate Execution of Existing Flows

Simply asking "Run that integration now" launches a registered data integration on the spot. There is no need to open a management screen for manual execution.

【Use Case Example 02】Confirm Execution Results for a Specified Date Range

By specifying a period, such as "Were there any errors or delays in flow execution this past week?", users can check execution history, success/failure status, and the number of processed items through conversation. Early detection of issues and root cause analysis are completed within the thread.

【Use Case Example 03】Build New Flows Through Conversation

Simply convey your intent, such as "I want to integrate Salesforce opportunities that have been closed into Board opportunities." The AI will organize the requirements, and Passwork will assemble them as verified deterministic data integration.

【Use Case Example 04】Connector Management

From Slack, users can update connection settings, change permissions, and check usage status. Reverse lookups to see which integrations use which connectors can also be done through conversation.

【Use Case Example 05】Investigate Data in Various Services Using Authentication Information

Using existing connection information, users can immediately execute investigation queries like "Based on Board, what is the list of companies that started new transactions this year?" The content of the target data can be confirmed through conversation before building integrations.

Value for On-Site Users

Previously, pre-verified and controlled processes existed only within the large-scale systems managed by the IT department. The granular data tasks that on-site staff repeated daily could only be handled by making requests and waiting for their turn, or by continuing manual work with spreadsheets.

"Passwork MCP" makes these pre-verified and controlled processes usable for "granular, on-site tasks" for the first time. On-site users can simply ask on Slack, and verified, reproducible integrations will run on the spot. Ease of use and production-ready reliability are achieved within the same operation.

Previously

With Passwork MCP

Granular integrations are requested from the IT department, and users wait their turn.

On-site users ask on Slack, and it runs immediately.

Doing it yourself involves manual work, leading to errors and inconsistencies.

It's a verified integration, so the results are the same every time.

It's unclear if it "ran correctly."

Success/failure status and counts are returned to the thread for immediate confirmation.

Users are afraid to run it themselves and end up not using it.

Only operations within their granted permissions can be run, so users can rely on it with confidence.

About Prazto Inc.

Prazto Inc., with its vision of "Technology and Design are True," is a system integrator that provides implementation support for Salesforce and Tableau, as well as the development and provision of the data integration service "Passwork." In 2022, they received the "Emerging Partner of the Year – Consulting –" award, the highest honor for a rookie Salesforce partner. They began offering the data integration service "Passwork" in 2025. Through a hybrid approach of product and contract businesses, they support customers' digital transformation.

Company Overview

Company Name: Prazto Inc.

Location: 6-10-1 Ginza, Chuo-ku, Tokyo GINZA SIX 13F

Representative: Satoshi Haga, Representative Director

Established: 2019

Business Activities: Salesforce/Tableau implementation support, development and provision of data integration service "Passwork"

URL (Passwork): https://passwork.prazto.com/

URL (Company Site): https://prazto.com/

FACT BOX

  • Source: PR TIMES
  • Category: 製品リリース
  • Organizations: Prazto / Slack / Salesforce