Jigso

Jigso answers free-text questions by searching every connected system at once. The reply lists which app each fact came from, so you can check the source before you repeat it in a meeting. Results cover structured records like opportunities and tickets plus unstructured content like Slack threads and documents.

Instead of waiting for a prompt, Jigso watches for conditions you define and posts a cue when one fires. Typical rules cover deals that stall, tickets that sit in one status, or a jump in new contacts. This is the part that separates it from a plain enterprise AI search tool, because the assistant acts on its own schedule.

Ask for a briefing before a call and Jigso assembles project status, open issues, stakeholder history, and pipeline value into one summary. Sales teams use it to walk in with the next-best action already named. The brief is generated from stored data, so a thin account record produces a thin brief.

Jigso scans communications for commitments and to-dos, then reminds the right person. It catches requests buried in a Slack channel or an email thread that would otherwise scroll away. For managers, that means fewer dropped handoffs between sales, support, and delivery.

Jigso runs a Model Context Protocol server, which lets AI clients such as ChatGPT or Claude query your business systems through one connection. Access follows each employee's existing permissions, and the connections are read-only by design. Teams that already pay for a general assistant can point it at company data without building their own connectors.

The REST API exposes the same query layer to dashboards, internal tools, and scheduled jobs. Every call inherits role-based permissions, so a user can't pull records they couldn't open in the source app. The platform is SOC 2 compliant, encrypts data in transit and at rest, and states that customer data isn't used for model training.