๐Ÿ†Finalist, Belgium Startup Awards 2026ยทBacked by Start it @KBC Accelerator
๐Ÿ†Finalist, Belgium Startup Awards 2026ยทBacked by Start it @KBC Accelerator
๐Ÿ†Finalist, Belgium Startup Awards 2026ยทBacked by Start it @KBC Accelerator
๐Ÿ†Finalist, Belgium Startup Awards 2026ยทBacked by Start it @KBC Accelerator
Sagy

Platform

Deployable AI agents that learn from your team's work.

Sagy agents run your team's repeatable workflows inside the tools you already use, and get better with every task your people review and complete.

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HomeSee how Sagy agents learn from your team and take on repeatable work.Sagy in ActionSee agents running real workflows across different teams.Tool IntegrationsConnect the tools and systems your team already works in.Security & DeploymentPrivate deployment, human approval, auditability, and access control.

Use Cases

Start with the work, not the label.

Start with a hands-on engagement if needed, then deploy agents for finance, support, operations, people, or engineering workflows once the right opportunities are clear.

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Services First

Hands-on Workflow MappingWork through one of your real workflows with Sagy first, then decide which parts should become agents.

Business Teams

Finance & Back OfficeReconciliations, document reviews, approvals, and month-end preparation.Customer Support & SalesExample walkthrough of a customer request handled end to end.People & OnboardingGive every new hire an AI companion that answers questions and guides training.OperationsSOP-driven operational work, including production-line support.

Engineering & Technical

Incident Investigation AgentTurn inbound issues into structured, evidence-backed investigations.Firmware ReproductionReduce setup time before embedded debugging starts.Hardware Investigation AgentDevice, lab, and embedded investigation workflows.Engineering MemoryPreserve decisions, fixes, and investigation paths automatically.

Regulated Industries

TelecommunicationsNetworking and connected-device operations.Avionics & AerospaceSafety-critical and certification-heavy workflows.Medical DevicesRegulated investigation and documentation workflows.

Learn

Guides on AI agents and team workflows.

Practical articles on purpose-built agents, keeping team knowledge alive, and running repeatable workflows with AI.

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Blog IndexRead practical articles on AI agents, workflows, and team knowledge.Purpose-Built AgentsUnderstand why focused agents outperform generic assistants.Static Knowledge BasesSee why static docs miss the decisions teams actually need.Preserving Team KnowledgeSee how AI agents keep fixes, evidence, and decisions reusable.Root-Cause WorkflowFollow a source-backed workflow for getting to the real cause of an issue.Customer Issue WorkflowTurn customer reports into structured investigations.

Company

Company, hiring, and policy pages.

Learn who is building Sagy, how we handle data, and where we are hiring.

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TeamMeet the team building Sagy.CareersHelp build AI agents that learn from how teams work.PrivacyUnderstand how Sagy handles customer information and product data.
Slack, Jira & GitHub workflow

Investigate incidents across Slack, Jira, and GitHub.

Most engineering incidents are not in one tool. Sagy follows the trail across conversations, tickets, code changes, docs, and prior decisions so engineers start with evidence instead of scattered tabs.

Schedule a demoIncident AgentIntegration hub
Pain
Workflow
Agent
Evidence
Human validation
Reusable memory

Start from the request

A Slack thread, Jira ticket, GitHub issue, or customer escalation becomes the investigation starting point. Sagy extracts symptoms, services, users, timestamps, and suspected systems.

  • Capture issue context from Slack or ticket text
  • Identify affected systems and linked identifiers
  • Route the request to the right investigation workflow

Cross-check code and tickets

The agent checks Jira history, GitHub commits, pull requests, linked docs, and prior incident memory to find previous fixes, recent regressions, and related work.

  • Find similar tickets and incidents
  • Inspect recent code changes around the affected area
  • Surface source links for human review

Summarize evidence for the owner

Instead of sending an engineer into scattered tabs, Sagy prepares a concise investigation packet with the likely path, source links, open questions, and a recommended next step.

  • Summarize the issue timeline
  • Call out missing context before escalation
  • Keep ownership and approval with the engineering team

Preserve the investigation

Once the engineer validates the answer, the path becomes reusable memory for future incidents across the same stack and connected tools.

  • Store evidence and final resolution
  • Improve the next root-cause workflow
  • Reduce repeated interruption of senior engineers

Keep exploring the Sagy investigation layer.

AI Incident Investigation AgentSlack, Jira & GitHub investigation articleRoot-cause workflow articleEngineering MemoryIntegrationsSecurity & Deployment

Ready to test Sagy?

Schedule a demo for one of your high-value workflows.

Bring a real workflow from any team: finance, operations, support, HR, sales, or engineering. We can start by working through it with you as a service, then turn what works into agents that learn from your team.

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sagy

Deployable AI agents that learn from your team's work.

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