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.
AI agents that execute workflows
and learn from every run.
Sagy gives teams AI agents that investigate issues, run repeatable workflows, and improve over time across engineering, sales and support, and industrial operations.
We can start as a hands-on service by helping investigate your current issues, then map the workflow and apply agents where they create real value.
Built for teams with complex workflows · Support, engineering, and operations · Deploys in your existing tools
Built with teams running complex support, engineering, and operations workflows.
AI agents that investigate and act across your tools.
Each Sagy agent gathers context from your systems, records, docs, and workflow history, then executes the right process to help your team move faster with better evidence and fewer manual handoffs.
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 cases
GitHub
reviews changes
Docs
reads procedures
Jira
opens records
Actions taken
- Loaded request
- Loaded account context
- Loaded system evidence
- Loaded workflow history
- Issue pattern identified
- Matched similar case: #3400
- Next steps in progress
- Prepared update for the team
Workflow intelligence that takes action.
Turn team procedures, investigation playbooks, and operating knowledge into reusable workflows your people and AI agents can execute and refine together.
Map
Find where agents can create value
Refine
Improve workflows from real execution
Run
Execute with your team and AI agents
Context across the tools your team already uses.
Connect Slack, Teams, Jira, GitHub, Confluence, SharePoint, and more so AI agents can work from the context already spread across your systems.
Request-to-resolution workflows across support, software, and operations.
Sagy follows the same operating model on every page: request, context, agent, workflow, evidence, human validation, and reusable memory.
Problem
A request came in and needs the right workflow, context, and next action.
Context from
your stack
- Slack
- Jira
- GitHub
- Docs
- Logs
Sagy Agent
Analyze. Load context. Execute workflows.
Context
Knowledge
Workflows
Tools
Workflow run
Started the workflow run
Loaded the right systems
Collected supporting evidence- Advanced the request
Result
- Issue path confirmed
- Relevant history loaded
- Possible cause identified
- Next action proposed
Continuously learns and improves with every runUse Cases
Put agents to work across your hardest workflows.
From customer escalations to firmware debugging and production-line operations — Sagy starts with your real workflow, then automates the repeatable parts.
Services First
We can help investigate your current issues before applying any agents.
Start with a hands-on service engagement where we investigate the issues your team is dealing with now, understand the real workflow, and only then turn the repeatable parts into agent workflows.
Sales & Support
Investigate customer issues and escalations faster
Start with inbound issues, account context, prior tickets, and team knowledge so agents can surface the right next step without manual context chasing.
Embedded Systems & Devices
Run debugging workflows across firmware, hardware, and networks
Use Sagy as a starting point for device-heavy workflows where reproduction, lab setup, logs, and system state are part of the investigation.
Production & Operations
AI support agent for production lines and operational workflows
Use Sagy to help troubleshoot production lines while giving the agent access to procedures, support history, incidents, and operator context across your systems.
- Production-line debugging and operator workflows
- Support context, SOPs, and prior incident knowledge in one place
- Connected-device and telecom operations
- Regulated and documentation-heavy environments
Don't see your use case?Tell us what workflow you want an agent to run.
Schedule a demoFrom workflow mapping to live execution.
We can begin as a service engagement by helping investigate the issues your team is dealing with today, then map the workflow and implement agents once the value is clear.
Step 1
Investigate Issues
Start with your current issues and investigate them with your team as a hands-on service.
- Current issues
- Evidence
- Value
Step 2
Connect Context
Connect tools, records, and knowledge so agents can work from real context.
- Systems
- Evidence
- Context
Step 3
Build Agents
Turn the workflow into reusable agent skills, steps, and human review points.
- Skills
- Reusable
- Versioned
Step 4
Execute and Improve
Run with your team, validate outcomes, and improve after every execution.
- Execute
- Learn
- Scale
Self-improving workflows
Every execution makes your team smarter.
Sagy's agents use workflows that learn from completed work, validated decisions, and resolved issues so the next execution is better than the last.
Every
- Support case resolved
- Deal handoff completed
- Design decision made
- Production issue debugged
- Production issue fixed
makes future workflows more effective.
The result is a company that gets smarter after every problem solved.
Start with hands-on investigation services, then turn proven workflows into agents.
We can help investigate the issues your team is facing now, understand how the work actually happens, and only then turn the repeatable parts into productized agent workflows.
Designed to start as a service engagement and expand into product inside your existing tools and operating process.
FAQ
Visit our help center to get in touch.
We're super responsive.