---
title: How we engage: three ways to start | Codivated
canonical: https://www.codivated.com/how-we-engage/
---

[Home](https://www.codivated.com/)/How we engageHow we engage

# Three ways to start.

Every engagement has a named team and an agreed measure of success before work begins.

| | | A few weeksOpportunity assessment | About 30 daysFirst agent Best place to start | OngoingAgent program

| What happens | Interviews with your team and a review of your systems. | One workflow built, connected and tested in a practice run. | Agent teams rolled out across departments in phases.

| You receive | Opportunity map and ROI model. | A working agent in production. | Agent teams and ongoing care.

| Your team's time | A few short interviews. | One owner, plus approvals during the practice run. | A check-in when it’s useful.

| Best for | Leaders building the case. | Proving value fast. | Company-wide change.

[Book a consultation](https://www.codivated.com/contact/)[Estimate your ROI](https://www.codivated.com/roi-calculator/)

Scroll the table sideways to compare.

Just need help getting started with an AI tool? [See AI setup for small teams](https://www.codivated.com/ai-setup/).

A first engagement

## Your first agent, working in about 30 days.

No big IT project. Your team keeps the software it already uses.

Week 1Find the right jobWe spend time with your team and pick the work where an agent will pay off fastest.

From you: a few short interviews

Weeks 2–3Build around your toolsWe connect the agent to your systems and set the approval rules with you.

From you: system access and a short security review

Week 4Practice runThe agent suggests and your team approves everything until it has earned their trust.

From you: one-tap approvals

OngoingGo live and growWe keep watch and add agents when you're ready.

From you: a quick check-in now and then

Our method

## The agent-ready company, in five layers.

How we decide what to build, in what order, and how your people stay in charge of it.

01Leadership

### Strategy

Where should agents work first?We rank your workflows by expected return and agree how success will be measured.

You receive: Opportunity map, ROI model

02Operations

### Workflows

Which work is routine, and which needs judgment?We map each workflow step by step and mark where an agent acts and where a person decides.

You receive: Workflow maps

03Systems

### Agents

What will each agent do, and with which tools?We build agents with one clear job each, connected to the software your team already uses.

You receive: Production agents, integrations

04Risk

### Governance

What can an agent do on its own?Approval rules by amount, customer or action, and a record of everything each agent did.

You receive: Approval rules, audit trail

05Adoption

### People

Will your team trust it and use it?A practice run where your team approves everything, then training for each team.

You receive: Training

Governance

## Agents act. People approve.

You decide what an agent can do on its own. Anything bigger comes to the right person for a quick yes or no.

Approval rules you setBy dollar amount, customer or type of action.

A record of everythingSee what each agent did, when and why.

A person when it mattersUnusual cases always go to a real person.

Common questions

## What leaders ask us first.

### What exactly is an AI agent?

Think of it as a digital team member with one job. It reads requests, looks things up in your systems and takes care of the routine cases. When something is unusual, it asks a person.

### Will this replace my staff?

Agents take repetitive work off your team, so the same people can handle more growth without burning out.

### How much does it cost?

It depends on the scope. After a short assessment, we give you a clear quote before any build starts, and the assessment fee is credited in full if you build.

### Do you help smaller teams?

Yes. [AI setup](https://www.codivated.com/ai-setup/) takes about a week, with optional monthly office hours.

### How do we know it will pay off?

We pick the first agent by expected return, and agree how we'll measure it before work starts. If the practice run doesn't show results, we stop there.

### How much of our IT team's time will this take?

Very little. We need access to the systems involved and a short security review. We handle the setup, connections and upkeep.

### Will my team actually use it?

Agents work inside the tools your team already uses, and approvals take one tap. We train each team during the practice run and adjust based on their feedback.

### Is our data secure?

Agents reach only the systems their job needs, every action is logged and your data is not used to train AI models.
