Agents that act in your software, not just chatbots that respond

The agent reasons, selects the right tools, executes actions in parallel and composes a coherent response. Multiple reasoning iterations when needed.

Intelligent orchestration

The agent doesn't just respond. It reasons, plans, executes and verifies.

1

Reasons

Analyses the request, identifies the necessary steps

2

Selects

Chooses the right tools from those available

3

Executes

Runs actions in parallel when possible

4

Composes

Synthesises results into a coherent response

Multi-iteration configurable
Parallel execution

The agent toolbox

Each agent has a set of tools it can freely combine to handle requests.

Business actions

API calls to the publisher's software. The agent can read, create and modify business data directly.

Persistent memory

The agent remembers each user's preferences from one session to the next. Context enriches over time.

Code execution

The agent generates and executes JavaScript in a secure sandbox. Complex calculations, data transformations, aggregations.

Web search

Access to real-time information. The agent can search the web to enrich its answers with up-to-date data.

Calculation

Mathematical expression evaluation for precise results. No LLM approximation on numbers.

Inter-agent communication

An agent can delegate a sub-task to a specialised agent. Each agent has its own area of expertise.

Agent memory

The agent builds persistent memory for each user. The more it's used, the more relevant it becomes.

  • Persistent memory per user
  • Enriches over conversations
  • Users can ask the agent to forget
  • Preferences, history, personalised context
Memory: Prefers bullet-point summaries
Memory: Head of Southern sales team
Memory: Uses the software in French and English
Memory: Has already asked about 2026 leave

Code generation and execution

The agent writes JavaScript, executes it in a secure sandbox, and uses the result to respond. Ideal for complex calculations, data transformations and aggregations.

Secure sandbox

Code runs in an isolated environment. No network access, no disk access, no risk.

Precise calculations

No more LLM approximations on numbers. The code calculates, the agent explains.

Concrete examples

"Give me a summary of this month's orders"

1. The agent calls the ERP API to retrieve this month's orders
2. It generates a JavaScript aggregation script
3. It executes the script in the sandbox
4. It formats a clear summary with totals and trends

"How many leave days do I have left, and book Friday April 18th"

1. The agent checks the leave balance via the HRIS API
2. It verifies the date (datetime tool)
3. It creates the leave request (API call)
4. It confirms: remaining balance, request created, pending approval

Intelligent dialog

The agent doesn't just execute blindly. It manages dialog with finesse.

Parameter completion

Missing information? The agent asks politely before acting. No blind execution.

Validation

Before a sensitive action, the agent asks for confirmation. The user stays in control.

Loop detection

The agent detects when it's going in circles and changes strategy or asks for help.

Entity cache

Already resolved entities (contacts, projects, orders) are cached during the conversation.

Benefits for publishers

Differentiation

An integrated AI assistant that takes real actions, not a gimmick, a genuine competitive advantage.

Support reduction

The agent answers questions and handles routine actions. Fewer tickets, less training needed.

Adoption

Users adopt software faster when they can interact with it naturally.

Upsell

The AI assistant becomes a premium module. A new revenue stream for the publisher.

Feature discovery

Users discover features they would never have found through menus.

Maintenance by Agora

We handle infrastructure, models, and updates. You focus on your core business.

Agents under control

An autonomous agent without guardrails is a risk. Every Agora project includes a continuous quality process.

Non-regression testing

Every change is validated against a test suite. The defined scope stays the respected scope.

Drift detection

Behaviors are traced. Any scope violation or unexpected response is identified.

Continuous improvement

Results are measured and agents are adjusted iteratively, without disrupting production.

Agents that act, not just respond

Let's see how agents integrate into your software.