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AI Agents

AI agents that take action in your systems

Agents connected to CRM, ERP, and internal tools. Permissions, audit trails, and one workflow you can measure this quarter.

What's included in AI Agent services

Planning, development, and deployment of enterprise AI Agents , with proper architecture, existing system integration, and agents that take real actions.

Enterprise architecture planning

Agent structure, permissions, action boundaries, security, and scale , as part of your existing stack.

Data & system integration

CRM, ERP, databases, and APIs , without workarounds.

Multi-Agent architecture

Dedicated agents working together for smart, scalable workflows.

Automation & action execution

Create, update, verify, decide, and trigger , per defined business logic.

Security, monitoring & control

Permissions, full audit trails, activity monitoring, and enterprise security compliance.

Deployment, guidance & scale

Controlled rollout, team enablement, and gradual expansion to more agents and processes.

How the first agent goes live

Pick the first workflow

The bottleneck, the number it must move, and the system it already lives in.

Connect the stack

CRM, ERP, monday.com, tickets, or voice. Permissions and audit trails before we write a prompt.

Design the handoff

When the agent stops, who takes the thread, and what gets written back.

Pilot one role

One channel, one action set, measured against the number we locked.

Go live on that slice

Controlled launch. If the full build is a no, we keep the same outcome on a smaller slice.

Retain and expand

Office hours, more agents, or hiring for the people who will own it.

Why work with us

People who ship AI

Builders who put AI on the systems you already run. Israel and the United States.

You stay in the room

We share the plan and the tradeoffs. You approve before we move.

We stay after launch

After go-live we watch the system. Office hours and hiring cover the owners on your side.

The same team that already runs the stack

AI has to fit the systems you already use. We have spent twenty years on those systems: security, data, telecom, monday.com, and operations. The first agent starts with that context.

What you walk away with

  • One team for the AI and the systems around it
  • A plan your IT and security leads can review
  • The Academy sprint if the team needs practice first
  • A named contact and retainer after launch
  • MTS Contact Center Expertise

    Frequentlyasked questions

    Common questions about this service

    The 14-Day Production AI Map

    We name the first live workflow, the system it must connect to, and the implementation offer that follows.

    1. Share the bottleneckThe workflow, the system, and the number you want to move.
    2. We map the first production use casePermissions, handoff, and where the agent takes action.
    3. You get the map and the next meetingA scoped build, a smaller pilot if you say no, or the Academy sprint if the team needs practice first.