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AI-driven process improvement starts before the technology
We combine Lean (eliminating waste), management systems (ensuring repeatability) and artificial intelligence (scaling intelligently) — in the right order, with your team in charge.
Why most digital transformations transform nothing
Companies buy software expecting change. Six months later, the shadow spreadsheet is still alive, the KPIs don't add up and the new system has become "one more place to enter data". The problem was almost never the tool.
"Technology applied to a broken process only automates waste — faster and at scale."
Strategy
Where to play and how to win. Mission, vision, SWOT and objectives that cascade down to every person's KPI.
Culture
How people decide when no one is watching. Clear ownership, data-driven decisions, improvement as a habit.
Processes
How value flows. Mapped, lean, standardized and with known risks — before automating.
Technology & AI
The accelerator. Agents that execute, measure and follow up — sustaining the culture instead of trying to replace it.
Reverse the order and you'll end up with an expensive system nobody uses.
From assessment to an endless PDCA cycle
Assessment
Maturity, bottlenecks and the most expensive pain point. A management health check across 8 dimensions.
Week 1Strategy & Culture
Objectives, roles, process owners and management routines.
DirectionLean process
Value stream mapped, waste eliminated, SOPs and risks defined.
LeanAI automation
Agents, copilots and integrations on top of an already standardized process.
SIG.AI · TESSMeasure & evolve
Real-time KPIs, deviation analysis and continuous improvement.
PDCAWhat AI does best
- Consolidate KPIs and flag deviations with their likely cause
- Chase deadlines and escalate what's overdue
- Draft documents: SOPs, work instructions, reports
- Turn meetings into decisions and tasks with owners
- Triage tickets, résumés and requests
- Generate BPMN and checklists from a plain description
What stays human
- A process that nobody understands end to end
- Senior management's review
- Customer acceptance and negotiation
- The root cause of a serious incident
- Any decision that carries legal accountability
Proprietary technology and leading partnerships
SIG.AI Platform
Five AI agents running process, KPI and compliance management on your data. Learn more →
Pareto · TESS
Every AI in one enterprise platform: agents shared securely across your team, with end-to-end automations.
Local LLMs
The capability to build local models aligned with the EU AI Act and Brazil's AI Bill (PL 2338/2023), with full data security.
24-hour emergency care units (UPAs)
Process improvement in Brazil's 24-hour emergency care units, in partnership with Universidade Federal Fluminense — Lean method and improvement culture where the pressure is highest.
Straight answers
Where does an AI process automation project start?
With a value stream assessment. Before automating, we map the process, eliminate waste and standardize. Only then do AI agents come in to execute, measure and follow up on what already makes sense.
Which processes should be automated first?
Repetitive, rule-based and already standardized ones: KPI consolidation, deadline follow-up, document drafting, initial triage and turning meetings into tasks with owners.
Will AI replace my team?
That's not the goal. AI takes over repetitive operational work so people can focus on analysis, decisions and relationships. Decisions that require accountability stay human.
Is company data protected?
Yes. We specialize in ISO 27001, 27701, 42001 and LGPD. Our solutions preserve confidentiality and privacy, with access control, audit trails and, when needed, local LLMs.
Related solutions
Which process bothers you the most today?
In an assessment, we show where the waste is and what AI can take over — with numbers.