Customised AI agent to automate and accelerate your growth

We create customised AI agents that automate your processes, respond instantly to your prospects and transform your business with intelligent automation tailored to your company.

From AI assistants to conversational AI agents, we develop high-performance solutions to improve your productivity and automatically generate qualified appointments.

200+

Companies supported

4.9/5

Satisfaction rate

IZEMX intelligent automation

Why an AI agent?

An AI agent is far more than a simple chatbot. It's an intelligent AI assistant capable of automating your repetitive tasks, qualifying your prospects and optimising your processes through intelligent automation tailored to your business.

Our bespoke AI agents can:

Automatically reply to customer messages and enquiries

Act as an AI conversational agent on your website or social channels

Act as an AI voice agent for call handling

Generate qualified appointments 24/7

Automate and optimise all of your operations, across every sector

Thanks to AI, you gain efficiency, reduce your costs and improve the customer experience from the very first weeks.

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Who we work with

AI agents built for your size

Whether you're an agile team or an organisation with complex processes, the approach adapts to your reality — not the other way round.

SMEs and startups

SMEs & startups

AI agents designed to deploy quickly, without tying up a dedicated in-house technical team.

Speed

Fast deployment, with no in-house technical team to mobilise

Scalability

Modular solutions that grow alongside your business

Support

Close, hands-on support from scoping through to launch

Budget

An investment sized to fit your organisation

Large accounts

Large accounts

Agents integrated into complex environments, with the security and governance requirements that come with them.

Integration

Deployment within complex technical environments

Governance

Security and compliance built in from the design stage

Coordination

Alignment with multiple teams and existing systems

Scalability

An architecture designed for multiple sites or subsidiaries

The real impact

What AI actually changes for your business

No abstract promises — here's what genuinely shifts, point by point.

Your business never closes

Your customers no longer think in office hours: they expect a reply the moment they need one, not the next morning.

  • Enquiries received in the evening, at weekends or on public holidays
  • Customers or prospects in other time zones
  • First contact that determines whether the prospect stays or goes elsewhere
Result 24/7 Round-the-clock availability, every day

Replies with no waiting time

Every minute of waiting is a minute the prospect could turn to a competitor who replied straight away.

  • Spikes in enquiries concentrated outside peak hours
  • Response time that usually depends on the team's workload
  • First reply that sets the tone for the whole exchange
Typical gain < 2 min Average response time

Every enquiry is sorted before it reaches your teams

Not every enquiry carries the same weight, yet they take up the same amount of time as long as no one sorts them upstream.

  • Generic questions handled without human intervention
  • Prospects qualified against criteria defined in advance
  • Complex requests routed straight to the right person
Typical gain 70% Prospects qualified automatically

Your teams focus on what matters

Your teams spend too much time answering the same customer questions, internal requests and support tickets. These demands drain energy without creating value.

  • Repetitive customer replies
  • Manual lead qualification
  • Time-consuming internal support
Typical gain 10 to 15h Freed up per week, per team

One single view of every interaction

When information is scattered across several tools, each interaction starts from scratch instead of building on what's already known.

  • Customer history that has to be rebuilt with every new exchange
  • Information duplicated across multiple systems
  • Follow-up that's impossible to consolidate without manual work
Simulated dashboard — AI agent qualifying leads
Typical gain 3+ Tools connected on average

Our method in 6 steps

A structured process, designed to deliver an AI agent genuinely tailored to your business — not a generic template.

01

Understanding your business

2 to 3 days

We get to grips with your sector, your internal processes and your objectives.

02

Data collection

3 to 5 days

Extraction and structuring of the data that will train the agent.

03

Scope definition

2 to 3 days

The agent's role, objectives and scope of action are defined.

04

Development

2 to 3 weeks

The agent is built bespoke and connected to your business tools.

05

Technical integration

1 week

Connection to your existing systems for a smooth rollout.

06

Continuous improvement

Ongoing

Validation on real cases, then ongoing optimisation of the agent.

Together, we build agents
that are Innovative

Take it to the next level with AI agents built to last.

Trusted by our clients

What our clients say

Frequently asked questions

Bespoke AI Agents

The questions we're asked most often before deploying an AI agent.

A bespoke AI agent is designed specifically for a company's processes and tools, rather than a generic solution. It can reply to customers, qualify prospects or handle requests autonomously.

The project follows six steps: understanding the business, collecting and structuring data, defining the agent's role, development, technical integration, then testing and continuous improvement.

The timeline varies depending on the complexity of the project, but generally runs between 4 and 6 weeks, from initial scoping through to technical deployment.

Yes, an AI agent is built bespoke around the needs of a given sector — use cases vary a great deal between healthcare, finance or retail, for example, but the principle of adaptation stays the same.

The agent talks with the prospect to understand their need, checks that they match the defined criteria, then offers a slot directly — without waiting for a sales team to process each request manually.

A conversational agent communicates in writing (website, social channels, messaging), while a voice agent handles phone calls. Both can draw on the same data and the same business logic.

Every agent is monitored and continuously fine-tuned through human oversight, which makes it possible to correct its responses and evolve it alongside the company's real needs, rather than leaving it static once it goes live.

The budget depends on the exact scope of the project (features, integrations, complexity). The most reliable approach is to discuss it directly to get a personalised quote.

Request a quote