Your systems don't expose everything.
Agents can't work with older applications.
How LeBrain handles it
When all you have is a screen, a Studio bot performs the action, with a user's permissions and under the application's own controls.
With LeBrain,agents reason,automation acts,and you stay in control.
6 modules, one platform to scope and control the impact of AI on your IT systems and processes.
Many AI initiatives stall at the edge of your IT systems.
AI is already widespread. Few organizations manage to make it act on their IT systems, because the obstacles add up: applications with no API, databases that hold sensitive data, costs that grow with usage.
The data is sensitive.
Writing straight to a database bypasses the application's rules.
How LeBrain handles it
Database access opens in stages: read first, then write, behind 5 guardrails.
Costs drift.
Model consumption stays invisible until the invoice arrives.
How LeBrain handles it
Every call goes through the AI gateway and is tied to a case, an agent and a team; quotas are set per team.
AI proposes. Clear governance decides what runs.
LeBrain is built on this rule: the model interprets, prepares or generates; anything that touches your IT systems first goes through clear governance, defined and approved in advance. No action on your systems depends on a model's answer. Each of the 6 modules applies this rule to its own domain: pick one to see how.
1AI proposes
The agent understands the request, reads the attachments, picks the operation and prepares its parameters.
The agent passes parameters to the bot or the workflow. It never drives the screen itself.
ARIA reads the process definition document and generates the design, the tests and the process.
The software factory's agents build the application from your specifications.
AI analyzes the code, data, logs and screens of an existing application.
Across every module, agents and bots call models to do their work.
2Clear governance
Skills defined in advance. Every parameter is checked before the call: type, required fields, user permissions.
An automation tested and signed off before production, which checks its inputs and only runs the planned steps.
Test guide, test datasets, simulated applications and code review: the process is tested against replicas, not your live systems.
4 approval gates: requirements baseline approved, clickable front end approved, acceptance testing signed off, final acceptance.
Knowledge is rebuilt from what already exists, rule by rule, before any change is made to the application.
The AI gateway ties every call to a case, an agent, a team and a model. Quotas are set per team.
3What reaches your systems
The action goes through the planned access path, in the user's name, and leaves a trace.
Same parameters, same effect on your systems, every run.
A process delivered in your RPA tool, already tested, documented and monitored in Governance.
An application deployed on your infrastructure, traced from every requirement to every test. Nothing moves forward without your sign-off.
A map and documentation that you own: maintenance and migration start from facts.
Usage, costs and value created are visible in one place, and overruns show up before the invoice does.
Repeatable
Same parameters, same effect on your systems.
Testable
Tested and signed off before production, like any application.
Traceable
Every run is logged and replayable.
Bounded
AI only does what governance has planned for.
6 modules that work together.
Each module applies this principle to a specific scope. Together, they share the same access to your systems, the same agents and the same governance principles: what you build for one use case carries over to the next.
The Hub
A natural-language request becomes an action on your systems, whatever the channel.
The Studio
Reliable, reusable bots and workflows that behave the same way on every run.
ARIA
A process definition document becomes an automated process, tested and documented.
Digital Solutions
A specification becomes a business application in production, traced and documented from requirement to test.
Legacy
The knowledge of an application nobody fully understands anymore, rebuilt from its code.
Governance
Usage, exceptions, value created and model consumption, in one place.
Your models, your data, your infrastructure.
Models
Model-agnosticLLMs, SLMs or OCR, plugged into a single gateway. You can use your own subscription.
Infrastructure
Deployed in your environmentApplications and deliverables run on your infrastructure and belong to you.
Data
Protected by designLeast privilege, predefined queries, anonymization.
Traceability
Every action can be replayedEvery call and every run is logged under the identity of the person who requested it.
Real situations, and the path each one takes.
Procurement
Create a purchase request from a quote.
An employee receives a quote and has to enter the request in the ERP, field by field.
- Email and quote
- Hub agent
- Clear governance
- API or bot
- ERP
ResultOne sentence is enough; the entry is accurate and logged under the requester's name.
See the use caseBanking
Process loan applications.
Loan applications come in with their supporting documents; someone has to read them, extract the key data, prepare the decision and notify the applicant. The business application exposes no API.
- Studio agent
- Anonymization agent
- Hub agent
- Approval before write
ResultThrough the screen or through the database, the same agent handles the application, under the same guardrails.
See the use caseHuman resources
Automate new-hire onboarding.
The onboarding process is already described in a user guide. What's left is to design, build, test and deliver its automation.
- User guide
- ARIA
- Design, testing, simulation
- Studio in production
ResultOnboarding goes from guide to bot, designed and tested, with nothing rewritten by hand.
See the use casePayroll
Recover the payroll rules locked in proprietary software.
Payroll rules live in proprietary software, site by site. No one knows exactly what it applies anymore.
- Code and databases
- Legacy
- Documented payroll rules
- Shared foundation
ResultEvery payroll rule is recovered and documented: compliance can be checked and changes stay under control.
See the use caseStart with one use case. Build a foundation.
The first use case sets up the access to your systems, the agents and the governance rules. The next ones plug into it, without starting from scratch.
- ScopeOne use case, its data, its success criteria.
- PilotThe first use case, in production, measured.
- ScaleEach new use case reuses the foundation.
Foundation: system access, skills, AI gateway, governance rules
Let's talk about your first use case.
A 30-minute intro call to talk about your needs.