IAgents by Coexya, Putting AI agents into production, sustainably
Customised and secure AI agent solutions for businesses
Today, the real challenge is no longer creating an AI agent. The challenge is to make it work reliably over time: supervising it, managing risks, measuring its value and truly integrating it into the existing information system. IAgents supports organisations after the POC, when the first operational questions arise: reliability, responsibility, operation and real value. The solution is designed for businesses of all sizes, integrating seamlessly into your existing IT system, with Coexya taking full end-to-end responsibility from integration through to operation.
Why do most AI agents stall after the POC?
Creating an AI agent is relatively simple.
Making it sustainable over time is much more complex.
In practice, organisations often encounter the same situations:
- isolated POCs, with no clear owner,
- assumed but never measured value,
- agents that deteriorate over time,
- poorly controlled operational risks,
- lack of an operating framework (Run & Ops).
The value of an AI agent begins after deployment, when it is actually operated, monitored and improved over time.
What is a business AI agent?
A business AI agent is an intelligent assistant capable of:
- understanding natural language requests,
- accessing data securely,
- interacting with your applications and business processes.
Unlike generic assistants, a business AI agent is designed for a specific use, with your rules, data, and operational constraints.
The more an agent acts, the more critical the operating framework becomes.
Concrete use cases in your existing tools
AI agents are particularly well suited to simple, measurable and recurring tasks:
- Human resources
Onboarding, employee FAQs, sourcing, recruitment, administrative management
- IT & internal support
Self-service, guided resolution, reduction of recurring tickets
- Sales functions
Action preparation, prioritisation, follow-up and reminders
- Finance & support functions
Reporting, simple controls, repetitive automations
IAgents integrates into your existing environment without disrupting your tools.
Beyond the POC: securing long-term operation
Creating an AI agent is one step.
Operating it over time is the real challenge.
With IAgents, we address issues that are often underestimated:
- quality of responses and actions,
- access and data security,
- cost and usage control,
- traceability and accountability,
- continuous agent development.
Value is built over time, once the agent is in operation.
Our method for industrialising an AI agent
IAgents is based on a structured and pragmatic approach:
- Identify
Priority use cases, expected value, key risks
- Design
Agent journey, business rules, controls and supervision
- Deploy
Agent in production, connected to your existing system
- Operate
Continuous supervision, corrections, developments, value measurement
Deployment is not the end. Operation is the real work.
A modular offering, from launch to operation
IAgents Express – Test and decide quickly (4 to 6 weeks)
- Targeted scoping
- Agent MVP in production
- Clear success criteria
IAgents Run & Ops – Monitor, correct, evolve
- Agent monitoring
- Corrections and evolutions
- Governance and security
- Value reporting
- SLA & monitoring (optional)
IAgents Advisory – Manage and structure over time
- Management and prioritisation
- Governance framework
- Team coaching
- AI roadmap
Why choose Coexya for your AI agents
- Seamless integration into existing IT systems (applications, data, processes)
- Compliance with business rules, security and compliance requirements
- Industrialisation and operating standards
- End-to-end responsibility, from integration to operation
Our value lies not in the tool itself, but in our ability to make AI agents work in real IT systems.
Get started with IAgents
Do you already have agents or AI POCs?
→ Operational diagnosis (2 weeks)
Do you have a clear business need?
→ IAgents Express (4 to 6 weeks)
FAQ – AI agents & operation
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/ What should you do after an AI proof of concept?
A proof of concept validates technical feasibility, not operational capability. After this stage, Coexya supports organisations in framing risks, defining responsibilities, establishing supervision and measuring real value — before any industrialisation decision is made. This is precisely what the IAgents Express offering covers (4 to 6 weeks).
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/ Why do most AI agent projects stall after the proof of concept?
Because operational concerns are routinely underestimated: no Run & Ops in place, value never measured, agents left unmaintained, and blurred accountability. With IAgents, Coexya addresses these post-POC challenges directly by taking responsibility for the supervision, correction and continuous evolution of deployed agents.
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/ Why does an AI agent perform well at first and then deteriorate?
Use cases evolve, data changes and rules need adjusting. Without ongoing supervision and continuous improvement, quality degrades naturally. Coexya’s IAgents Run & Ops module is designed to sustain quality over time: corrections, updates, governance and value reporting.
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/ Who is responsible if an AI agent makes a mistake?
Accountability depends on the operational framework put in place. In production, an agent must be operated with clear rules, full traceability and human validations proportionate to its criticality. Coexya takes end-to-end responsibility with IAgents — from integration into the information system through to operational exploitation.
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/ How can AI agent hallucinations be reduced?
They cannot be eliminated entirely. They can be reduced through a controlled scope, mastered data sources (RAG), human validation steps and continuous supervision. Coexya integrates these control mechanisms into the operational framework defined with each organisation.
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/ Does an AI agent need to be monitored continuously?
Not manually. But its usage, costs, quality and actions must be tracked with appropriate indicators and alerts. Coexya sets up this monitoring framework as part of the IAgents Run & Ops offering, including SLAs and regular reporting.
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/ How do you measure the real value of an AI agent?
Through operational indicators: usage rate, time saved, reduction in escalations, fewer errors and avoided costs. Coexya defines these indicators from the scoping phase, so every organisation can objectively measure the return on its AI agent investment.
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/ What is the difference between a chatbot and an AI agent?
A chatbot answers questions. An AI agent can act, trigger actions and orchestrate processes. The more it acts, the more critical its operational management becomes. IAgents by Coexya is specifically designed for organisations making this transition: moving from a conversational assistant to an operational agent integrated into the information system.
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/ When should you shut down an AI agent?
When it is no longer used, when it costs more than it delivers, or when it generates uncontrolled risks. Stopping an agent can be a sound decision. Coexya supports this decision too, within the IAgents Advisory offering, which includes regular strategic review and AI roadmap prioritisation.
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/ Do you need a dedicated team to operate AI agents?
Not necessarily, but a clear framework is essential: supervision, defined responsibilities, operational rules and appropriate tooling. Coexya can provide this framework in a fully managed outsourced model, or in an internal team coaching mode through IAgents Advisory.
