Request
Customer with email john@sagy.ai is reporting that the timestamp on the executed workflows is incorrect. They are seeing the time in UTC instead of their local timezone. Please investigate and assist the customer.
Built for engineering teams of 10–100 · Software teams shipping production systems · Deploys in your existing tools
Built with engineering teams who feel this pain every day.
Automated incident investigation across your tools.
Each Sagy agent gathers context from tickets, logs, code, and runbooks, then executes your investigation workflow to help engineers identify root causes and reduce mean time to resolution (MTTR).
Request
Customer with email john@sagy.ai is reporting that the timestamp on the executed workflows is incorrect. They are seeing the time in UTC instead of their local timezone. Please investigate and assist the customer.
Support Agent
Analyzes each customer request to identify bugs, issues, and the right next step.
Active
4 Knowledge-spaces
3 Skills
5 Integrations
Slack
reads threads
Linear
checks issues
GitHub
reviews PRs
Docs
reads runbooks
Jira
opens tickets
Actions taken
- Loaded issue
- Loaded customer context from database
- Loaded system logs from server
- Loaded Jira tickets
- Bug identified
- Matched similar ticket: #3400
- Fix in progress
- Prepared draft reply for customer
Engineering knowledge management that takes action.
Turn investigation playbooks, firmware procedures, and team knowledge into reusable workflows your agents can execute and refine.
Discover
Find the right workflow
Refine
Keep workflows accurate
Execute
Run with your team or AI agents
Engineering context across Jira, Slack, and GitHub.
Connect Jira, Slack, GitHub, Confluence, SharePoint, and Microsoft Teams so AI agents can investigate issues with the engineering context already held across your tools.
AI for embedded systems and software workflows.
From firmware debugging to production incident investigation, Sagy loads context and executes custom workflows, then learns from each run to improve what happens next.
Problem
Client Alpha reports intermittent boot failures on device X2000 after release 3.1.2. Please investigate the issue.
Context from
your stack
- Slack
- Jira
- GitHub
- Docs
- Logs
Sagy Agent
Analyze. Load context. Execute workflows.
Context
Knowledge
Workflows
Tools
Workflow run
Flashed X2000 with 3.1.2
Started test server
Loaded console logs- Reproduced boot issue
Result
- Bug reproduced after 20 minutes
- Release 3.1.2 report loaded
- Possible cause: commit 08ee4d3
- Fix proposed
Continuously learns and improves with every runIndustries
Built for every engineering team, specialized for your domain.
Sagy works for any engineering team out of the box, software and SaaS teams can build agents today. On top of that foundation, we ship agents preloaded with deep domain expertise for specific industries, then they learn the rest from your team.
Available now · Every engineering team
The platform any software team can build on today
Connect your tools and put Sagy agents to work across your stack, no industry specialization required. Any SaaS or software team can start automating investigation now.
Specialized agents · preloaded for your industry
Available now
Wireless & Networking Devices
WiFi, Bluetooth, Zigbee, cellular. Routers, access points, repeaters, gateways, IoT radios.
More specialized agents coming soon
IoT & Embedded Systems
Industrial Hardware
Don't see your industry?Sagy adapts to any engineering stack, tell us what you build.
Engineering workflow automation grounded in context.
Step 1
Connect
Connect your tools so context flows automatically.
- Slack
- Jira
- GitHub
Step 2
Capture
Retain engineering knowledge from incidents and decisions.
- Discussions
- Incidents
- Decisions
Step 3
Create Workflows
Create custom workflows and skills for your specific use cases.
- Custom
- Reusable
- Versioned
Step 4
Execute Workflows
AI agents execute workflows with your context and connected tools.
- Accurate
- Consistent
- Actionable
Self-improving workflows
Every execution makes your engineering team smarter.
Sagy's agents use workflows. These workflows learn from solutions found and issues closed, then update automatically so the next execution is better.
Every
- Incident resolved
- Merge request approved
- Design decision made
- Hardware issue debugged
- Production issue fixed
makes future workflows more effective.
The result is a company that gets smarter after every problem solved.
FAQ
Visit our help center to get in touch.
We're super responsive.