Agent Automation
Existing AI Orchestration platforms are difficult to use. You need to architect the process and connect every node. We build the automation around your business, rather than asking your business to fit the system.
What we automate
Zyme.ai helps businesses streamline repetitive, multi-step processes.
The examples below span several industries, but the approach is consistent: we design automation around the way each business actually operates.
Lead generation
New leads are collected automatically, enriched with relevant information, evaluated, and sent to the appropriate team member with the right context.
Learn more ⇒Support ticket classification and response
Incoming requests are sorted by type, routine questions receive an immediate response, and more complex issues are passed on with a clear summary.
Learn more ⇒Invoice processing and reconciliation
Invoices are captured, checked against purchase orders and receipts, and prepared for posting. Anything that doesn’t line up is flagged for human review.
Learn more ⇒Document chasing and completion tracking
Missing PO is identified, requests are sent automatically, and outstanding items are followed up until everything is received and accounted for.
Automation that works around you
We build the automation around your business, rather than asking your business to fit the software.
Learn more
One-size-fits-all Orchestration
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✓ You’re responsible for designing and implementing each process.
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✓ When an integration fails, your team has to diagnose and repair it.
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✓ Setting up and managing AI safely falls to you.✓ Pre-built workflows rarely match the way your business actually operates.
Built around your business
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✓ We learn your processes before deciding what to automate.
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✓ We build, connect, monitor, and maintain the agents and systems involved.
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✓ Your team stays in control while we handle the day-to-day automation.✓ Every workflow is customized your specific operations instead of a one-size-fits-all template
Discover
Build and connect
Launch and evolve
Types of Agents
Different tasks call for different agents. More complexity doesn’t always mean better outcomes.
Reflex Agents
Multi-Step Agents
Utility-Based Agents
Learning Agents
Hardcoded "if-then" rules
Act strictly on current inputs without memory or internal state.
Multi-step action sequence
Makes decisions based on defined objectives without intervention.
Numerical "utility function"
Maximize desirability of an outcome after evaluating trade-offs.
Adaptive recommendation
Improve performance over time by analyzing feedback, rewards, and past experiences.
Works with the platforms you already use
Our solutions are built to work across all major ecosystems. Contact us for more deatils.
