Exterior facade of a modern white opera house with sweeping curves and a figure walking up the steps.

Put AI to work in your business.

We design AI assistants and agents connected to knowledge and enterprise systems to support people and automate tasks in business processes. We define what they can do, with what information and when a human decision is needed.

Engagement

AI Agent Integration and Development

Outcome

Greater operational control

Scope

8-12 weeks

The potential, in numbers

More space for people. More power for processes.

AI agents connect information, make operational decisions, and carry out the tasks you assign them. This allows for continuity of work and leaves people more room to choose, create, and grow the business.

80%

By 2029, AI agents will autonomously solve 80% of common customer service issues, according to Gartner.

60-90%

This is the reduction potential estimated by McKinsey for a customer service redesigned around AI agents.

+15%

By 2028, at least 15% of daily work decisions will be made autonomously by Agentic AI systems.

Portrait of Marco Zamboni, Chief AI Officer at Redify, standing with his arms crossed in a modern office.

Marco Zamboni

Chief AI Officer

Seen up close

"People's time is precious. We empower AI agents with everyday tasks, giving your teams more space for the ideas, decisions and projects that drive your business forward."

From ideas to results

You set the direction. AI agents move the work forward.

We combine System Integration, Digital Solutions and Agentic Intelligence to integrate AI agents into business processes and work alongside people to increase value, margins, customer experience and business continuity.

1

Data available at the right time

We connect relevant information sources to enable agents to work with up-to-date and process-consistent data.

2

Decisions that become actions

We build the connections needed to translate agent input into operational activities on company systems with defined authorizations and controls.

3

Experiences designed for people

We build interfaces that allow teams to assign goals, track tasks, manage exceptions and approve relevant steps.

4

Systems that collaborate

We use APIs, the interfaces through which platforms communicate to connect data and functionality in coordinated flows.

5

Governed autonomy

We define the agents' scope of action, decision-making criteria and human supervision points, making activities traceable.

6

Skills that evolve with the business

We design modular components that allow you to extend agent functionality based on priorities and observed results.

Process

Four phases. One shared direction.

We start with your business goals and build the process together with the teams involved. Each phase yields useful information to evaluate the project and guide the next step.

Step 1: 1-2 weeks

Discovery

We analyze the context, listen to people and identify the processes with the greatest potential. We define use cases, available data, indicators and priorities.

Step 2: 2-3 weeks

Architectural design

We design the role of agents in the digital ecosystem: connections, functions, operating rules and levels of supervision.

Step 3: 3-6 weeks

Development and validation

We build features incrementally and test them in real-world scenarios.

Step 4: 1-2 weeks

Go Live

We guide the introduction of agents into processes, support people and monitor defined indicators.

What sets us apart from others

The difference is in the way activities are organized around the business.

Our approach connects architecture, data, and processes to prevent growth from generating new fragmentation: we transform operational complexity into strategic clarity, aligning decisions and priorities with business outcomes.

The standard approach

  • Systems, marketing and AI proceed in silos with separate logic and priorities.
  • Existing solutions are adapted to contexts with different constraints.
  • Intervention is initiated only after the problem has emerged and costs have already increased.
  • Technology, growth and relationships are distributed across different vendors.
  • The project is measured by distinct outputs, not by system convergence.

The Redify Model

  • We integrate systems, marketing and AI toward a single business direction.
  • We start from the points of friction to build what's really needed.
  • We design architectures and paths based on the client's constraints, stack and objectives.
  • A single method to make technology, growth and relationships work together.
  • We protect what matters: control, speed, direction and growth capacity.

Designed For Your Role

Measure the value in your processes. Recognize it in your people's work.

Those leading technology, marketing and digital face different priorities. Agentic AI helps translate decisions into action, coordinate work and focus on shared goals.

Technological impacts

CTO

Integrate new capabilities into a governable architecture with clear responsibilities, defined connections and a consistent evolution path with enterprise systems.

Digital scenarios

Head of Digital

Transform digital objectives into concrete use cases, coordinate the skills involved and measure agents' contribution to processes and customer experience.

Marketing impact

CMO

Follow up on every opportunity with AI agents: from lead qualification to follow-up, to personalized communications. Empower marketing and sales to act at the right time.

Data-driven scenarios

CDO & AI Expert

Bring your company's information assets into concrete decisions and actions. Make reliable data available to agents with access and traceability rules that govern its use.

Related Insights

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If you had one more person on your team, what would be their first task?

Now imagine entrusting it to an AI agent. In 30 minutes, let's explore together the activities to start with, the goals to achieve and how to incorporate it into your team's work.