Data and artificial intelligence

Process automation

Approvals, notifications, validations and reports that run themselves — with an auditable record of every step in the flow.

Sound familiar?

Some processes in your organization exist but aren't written down: a chain of emails, calls and spreadsheets that relies on someone remembering the next step. And when that person goes on vacation, the process stops.

  • Critical processes that depend on one person's memory
  • Approvals delayed for days because of lost emails
  • Errors that only surface during audits
  • Your team spends the day coordinating instead of deciding

How we approach it

We model the process as it actually works, identify what can be automated and what needs human judgment, and build a flow where nothing falls between stages.

01

Modeling the real process

We diagram the flow with the people who run it every day — not the ideal flow in the manual.

02

Digital workflow design

We define triggers, validations, branches, escalations and deadlines.

03

Implementation with traceability

Every step is recorded: who did what, when, with what input and what output.

04

Continuous improvement

We measure stage times, detect bottlenecks and adjust the flow.

What we deliver

  • End-to-end automated workflow
  • Email, SMS, WhatsApp or in-app notifications as appropriate
  • Validation and escalation rules with deadlines
  • Per-process and per-instance tracking dashboard
  • Operational reports: cycle time, bottlenecks, SLA
  • Workflow documentation and training for your team

For your technical team

Proven workflow engines or custom code depending on scale and complexity, with task and event orchestration. The non-negotiables: per-instance traceability, idempotency and compensation patterns.

Workflow engines or custom orchestrationCompensation and rollback patterns on failureFull per-instance process traceabilityEvent- and queue-based integration with your existing systemsPer-stage operational metrics

Technologies we use

Python
n8n
Docker
PostgreSQL
AWS
TypeScript
Python
n8n
Docker
PostgreSQL
AWS
TypeScript

Where we apply this service

Health

Systems for hospitals, ministries and healthcare networks: clinical records, epidemiological surveillance, program management, territorial KPIs.

Knowledge management

Platforms that organize institutional memory, document repositories and specialized search — including AI assistants grounded in your own corpus.

Higher education

Academic systems, learning platforms at scale, and portals for universities. Not corporate training: academic institutions with thousands of students.

Private enterprise

For corporations and mid-market companies that need solid internal systems: automation, supplier integrations, executive dashboards, field apps.

Which process takes most of your time?

We start with the one that hurts most. We'll tell you quickly whether automating it is worth it — and how much it would save you.

Let's talk