🏆Finalist, Belgium Startup Awards 2026·Backed by Start it @KBC Accelerator
🏆Finalist, Belgium Startup Awards 2026·Backed by Start it @KBC Accelerator
🏆Finalist, Belgium Startup Awards 2026·Backed by Start it @KBC Accelerator
🏆Finalist, Belgium Startup Awards 2026·Backed 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.
Home/Blog

Customer Bug Investigation Workflow for Engineering Teams

Customer bugs move faster when support context, engineering evidence, reproduction steps, and final fixes stay connected.

Wissem
WissemFounder & CEO @ sagy
May 20, 2026
5 min read
Customer Bug Investigation Workflow for Engineering Teams

Customer-reported bugs are high-pressure because the facts arrive incomplete. The user sees a failure, support captures part of the story, product wants an answer, and engineering needs enough evidence to reproduce the issue.

The best customer bug workflows reduce ambiguity before engineering starts debugging.

Capture The Customer Context

The first step is not code. It is context:

  • who reported the issue
  • what they expected to happen
  • what actually happened
  • when the failure occurred
  • which account, version, device, or environment was affected

Sagy turns that context into an investigation prompt that can be linked to Jira, Slack, GitHub, logs, docs, and prior incidents.

Find Similar Issues Before Asking Around

Many customer bugs are not truly new. They are repeated symptoms with slightly different language. A useful agent searches previous tickets, incident reports, support notes, and engineering discussions before escalating.

That reduces interruptions and helps support give customers a clearer update.

Prepare Reproduction And Evidence

For software teams, this may mean logs, deploy history, feature flags, and recent pull requests. For embedded teams, it may mean firmware version, device model, lab setup, serial output, and SSH commands.

If the issue touches hardware or firmware, the Hardware Investigation Agent and Firmware Bug Reproduction Automation pages show the deeper workflow.

Close The Loop

The final answer should not disappear into a ticket comment. Capture the fix, the reproduction path, the links, and the customer-facing explanation. That is how customer bugs become reusable engineering memory.

Related Sagy pages

AI Incident Investigation AgentInvestigate customer escalations with source-backed engineering context.Hardware Investigation AgentPrepare customer bug investigations for embedded, firmware, and device teams.
Thanks for reading.

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

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