Enterprise AI engineering
Enterprise AI, built to reach production.
Most AI pilots stall on data access, security review and integration. La Madre designs, builds and deploys agents and applications that clear them, inside your environment and alongside your IT and compliance teams.
01The gap
The demo worked. Production is a different problem.
Most enterprises don’t lack AI ideas. Their pilots stall where real systems begin.
- Real data
- Scattered across systems, each with its own owners and rules.
- Real permissions
- The assistant has to know who is allowed to see what.
- Security review
- Architecture questions no prototype ever had to answer.
- Integration
- The work happens in systems the demo never touched.
- Quality
- No one can say how often it’s wrong, or how you would know.
- Adoption
- A tool people don’t trust is a tool people don’t use.
La Madre works in that gap.
02What we build
Systems, not slideware.
- 01
AI agents & workflows
Agents that act inside your business processes, with the permissions and approvals those processes already have.
- 02
Custom AI applications
Purpose-built tools where off-the-shelf copilots stop short: decision support, document workflows, internal assistants.
- 03
Enterprise knowledge
Assistants grounded in your documents and data, with answers that respect who is allowed to see what.
- 04
Integration & deployment
Connecting AI to the systems where work already happens: APIs, SaaS, data platforms, identity, monitoring.
03Where it runs
Built inside the environment you already run.
Your identity provider. Your data platforms. Your cloud. Your review process. We design around them from day one, instead of retrofitting them at the end.
- 01
Identity & access
Every request runs as a real user, with the permissions they already have.
- 02
Data & knowledge
Connected where it lives, without copying it somewhere new.
- 03
AI agent / application
The part we build, designed for your constraints from the start.
- 04
Evaluation & human review
Measured before go-live, with people in the loop where the risk calls for it.
- 05
Business applications
Results land in the tools your teams already use.
04How we engage
Start small. Ship something real.
- 012 TO 3 WEEKS
Production Readiness Sprint
“Should this be built? And exactly how?”
You get
- Target architecture
- Data & access map
- Risk register
- Evaluation plan
- Build plan
- 026 TO 12 WEEKS
Build & Deploy
“Put it into production.”
You get
- A running system in your environment
- Evaluation harness
- Monitoring & logs
- Operating documentation
- 03MONTHLY
Embedded AI Engineering
“Keep it improving.”
You get
- Senior engineering capacity that owns outcomes
- Production support
- Your team, more capable
Sometimes the right answer from a sprint is “don’t build this yet.” You’ll hear it from us.
Services in detail →05Regulated by default
Governance is an engineering decision.
Where we work
Life sciences and healthcare first, and other regulated industries where the same discipline applies.
Microsoft-native, not Microsoft-only: deep experience with Copilot Studio, Power Platform, Azure and Databricks, and platform-pragmatic when the problem needs something else.
- 01
Access follows your identity model. No side doors.
- 02
Your data stays in your environment unless you decide otherwise.
- 03
Every system ships with an evaluation plan and the tests to run it.
- 04
Human review where the risk calls for it, not everywhere.
- 05
Logs and decision records your auditors can follow.
- 06
Documentation your team can operate without us.
We build to the requirements your compliance team defines. We don’t provide legal or regulatory advice.
06Founder-led
You work with the person who builds it.
- Fortune 500
- Microsoft enterprise stack
- Agents in production
La Madre was founded by an enterprise AI practitioner who has built production AI agents in Microsoft environments inside a Fortune 500 company, under real security, data-access and governance constraints.
That is the work we do for clients: the unglamorous part between a promising demo and a system people rely on.
Every engagement is led by the founder end to end. When a project needs deeper specialization, we bring in specialists, and you’ll know who they are before they start.
More about La Madre →07Questions
What enterprise teams ask us first.
You’re a small firm. Why trust you with an enterprise system?
Senior hands on the work, no hand-offs to junior staff, and deliverables you can inspect at every step. When a problem needs more people, we bring them in openly.
Do you only work with Microsoft?
No. Much of our experience is in Microsoft environments because that’s where many regulated enterprises run. We choose the platform that fits your constraints.
Where is La Madre based? Can you work U.S. hours?
We’re based in Brazil, and our working hours overlap with U.S. Eastern and Central time. We work in English, Portuguese and Spanish.
What happens to our data?
It stays in your environment, under your access controls. We don’t use client data to train models.
What if the sprint shows the use case isn’t worth building?
Then that’s the recommendation you get, with the reasons. A clear no is cheaper than a stalled pilot.
Are you a “forward-deployed engineering” firm?
In practice, yes: we work embedded with your team, inside your environment. We just don’t think the label is the point.
Have an AI use case stuck between prototype and production?
Tell us what you’re trying to ship. We’ll reply with honest next steps.
Discuss a use case