AI Agent Development
AI agents that do the work, not just answer questions
OmniLabs builds AI agents that plan multi-step tasks, use your CRM, ERP, and support tools, and hand high-stakes decisions to your team.
Discuss AI agentsWhere teams lose time an agent could save
- 01
People copy the same data between the CRM, ERP, inbox, and spreadsheets every day.
- 02
Calls, chats, and tickets pile up after hours and at peak times, so customers wait.
- 03
A demo agent breaks on real cases, or acts without limits, so nobody trusts it with real work.
- 04
Nobody can see what an agent did, why it did it, or what it cost.
Custom AI agents, from first use case to production
Agents built around one clear job, connected to your tools, and supervised by your team.
- Agent strategy and use-case selection
- Workflow agents that complete tasks end to end
- Voice and chat agents for customers
- Knowledge agents on your company data
- Multi-agent systems for complex work
- Integrations, guardrails, and monitoring
AI agents for every kind of work
Each agent gets one clear job, the tools to do it, and limits your team controls.
Find the right job for an agent
We pick the tasks where an agent saves the most time and check your data and systems are ready.
What you get:
- Use-case discovery and ROI estimates
- Data and API readiness audit
- Agent architecture blueprint
- Risk and compliance review
Automate multi-step work end to end
Agents that plan the steps, use your tools, and finish the task, asking a person only when needed.
What you get:
- Order, invoice, and claims processing
- Lead research and CRM updates
- Ticket triage and resolution
- Reports drafted from live data
Serve customers by voice and chat, 24/7
Voice and chat agents that answer, book, and resolve requests, then hand off to a person with full context.
What you get:
- Inbound and outbound phone agents
- Booking, rescheduling, and order status
- Website, WhatsApp, and in-app chat
- Live handoff with a call summary
Answer from your company knowledge
Agents that search your documents and systems and answer with sources your team can check.
What you get:
- Internal help desk for HR and IT
- Policy, contract, and product Q&A
- Research briefs from many sources
- Answers that respect user permissions
Coordinate teams of agents
Specialized agents that split complex work, check each other, and pass results along.
What you get:
- Planner and worker agent setups
- Delegation between specialist agents
- Validation loops that catch errors
- Shared memory and state
Connect agents to your systems safely
Agents that act in your CRM, ERP, and helpdesk, within permissions and approval steps you set.
What you get:
- CRM, ERP, and helpdesk connectors
- MCP servers and custom tools
- Permissions and human approval steps
- Logs, monitoring, and cost tracking
What AI agents give your team
Less manual work, as agents handle repetitive steps across your systems and your team focuses on decisions.
Faster service around the clock, with voice and chat agents answering and resolving requests in seconds.
Full control, with permissions, approval steps, and a log of every action the agent takes.
From first task to a trusted agent
Pick the agent’s job
Choose one task, the systems it touches, and the metric that proves the agent works.
Design tools and limits
Define what the agent can read and do, and where a person must approve.
Build and test on real cases
Build the agent and test it on your real tickets, calls, and records before launch.
Launch and monitor
Release to users, track accuracy, cost, and handoffs, and improve the agent over time.
Questions about AI agent development
What’s the difference between an AI agent and a chatbot?
A chatbot answers questions. An AI agent completes tasks: it plans the steps, uses your tools and data, and takes actions such as updating a record or booking an appointment.
Can an agent take actions in our systems?
Yes. Agents connect to your CRM, ERP, helpdesk, and other tools through APIs, with only the permissions you grant.
Do you build voice agents?
Yes. We build voice agents that answer and make calls, book appointments, check orders, and hand the call to a person with a summary when needed.
What’s a good first agent?
A frequent, rule-based task with clear inputs, such as ticket triage, order status, lead research, or invoice processing.
How long does it take to build an agent?
A working pilot on your data usually takes 4 to 8 weeks. A production rollout with integrations takes 2 to 4 months.
How do we keep control of what the agent does?
Agents work within set permissions, ask for approval on high-stakes actions, and log every step so your team can review and veto.
Give an AI agent its first job
Tell us the task, the systems involved, and who approves the result, and we’ll outline a pilot agent you can test on real cases.
