AI agents that automate multi-step business workflows
Build autonomous AI agents that plan, execute, and optimize complex processes across your existing systems. Not chatbots. Not RPA. Intelligent agents that handle exceptions, use tools, and improve over time.
Your teams are drowning in repetitive knowledge work
Employees switch between 10+ tools, copy data between systems, answer the same questions repeatedly, and follow rigid processes that should adapt to context. RPA helped automate structured, rule-based tasks, but it breaks when anything changes. The next evolution is AI agents that understand context, make decisions, and handle exceptions intelligently.
5 of 100
AI pilots deliver measurable P&L impact
MIT Research
10+
Tools the average knowledge worker switches between daily
30%
Of knowledge work tasks are repetitive and automatable
80%
Of AI POCs never reach production
How Optivus builds production AI agents
We build AI agents that operate within your existing systems, handling multi-step workflows autonomously while keeping humans in the loop for high-stakes decisions. Our agents use tools (APIs, databases, documents), handle exceptions intelligently, and improve through feedback loops.
Identify the workflow
Map your highest-impact repetitive workflow. Define what the agent should do, what tools it needs, and where human oversight is required.
Design with guardrails
Architect the agent with clear boundaries: which decisions it can make autonomously, which require human approval, and how it handles edge cases.
Build and integrate
Connect the agent to your existing systems (APIs, databases, document stores). Build, test, and iterate in 2-4 weeks with weekly demos.
Monitor and expand
Deploy to production with monitoring. Analyze agent performance, gather feedback, and expand to adjacent workflows.
Key capabilities
Multi-step autonomous workflows
Agents that plan and execute sequences of actions across multiple systems, handling branching logic and exceptions.
Tool use and API integration
Agents call APIs, query databases, process documents, and interact with any system that has an interface.
Human-in-the-loop
Configurable escalation for high-stakes decisions. The agent handles routine work; humans handle judgment calls.
Self-improving through feedback
Agent performance improves over time as it learns from corrections, feedback, and outcome data.
Multi-agent coordination
Complex processes handled by multiple specialized agents working together, each handling its part of the workflow.
Production monitoring
Full observability: track agent decisions, tool calls, latency, success rates, and escalation patterns.
Results you can expect
2-4 weeks
From kickoff to production agent deployment
12+ hrs
Saved per team per week on automated workflows
60%
Reduction in manual processing for targeted workflows
Production
Not a demo. Working agents in your systems.
Our AI implementation process
Every engagement follows the same four-phase structure.
Scope
Map the workflow, define success criteria, lock deliverables.
Build
Weekly working demos. Direct channel with the build team.
Ship
Production deployment on your cloud with monitoring.
Scale
Optimize on real usage. Expand to adjacent workflows.
Frequently asked questions
Vendor comparisons
Ready to get started?
Book a 25-minute call. Bring your workflow and we will show you exactly how we would approach it.