McKinsey found that bad decisions cost S&P 500 companies an average of $250 million a year.

Your decisions now have engineering, governance, monitoring and traceable results.

Arcogi delivers Decision Intelligence as a Service (DIaaS): specialized methodological advisory, a proprietary method with scientific foundation, and a decision governance suite designed for auditable, traceable, and progressively productizable operation in a DIaaS model. We transform the intention to capture value into decisions governed by evidence, accountability, and control — because, without decision governance, value, efficiency, and performance tend to get lost between context, choice, execution, and outcome.

92.1%

OpenDI

Alignment with global interoperability standard

91.0%

Gartner DIP

Alignment with decision platforms quadrant

* Self-assessed alignments based on documented mapping. Not independently validated by OpenDI or Gartner.

The gap no one measures

01.

Investment without proof

Data, analytics, and AI have advanced. But the board still asks: what did this change in the business?

02.

The fourth layer

Between analysis and outcome, there is a layer that has almost never been built: governed decision-making.

03.

The void is expensive

Without this layer, AI accelerates context, recommendation, and execution — but guarantees neither traceability, control, nor clear value capture.

04.

Arcogi's role

Arcogi operates this layer: structuring the decision, governing execution, and connecting the journey to a verifiable outcome.

Market Context

From data culture to decision culture

In 2026, Decision Intelligence evolved from a lateral idea into a formal market category. On January 26, Gartner published the first Magic Quadrant for Decision Intelligence Platforms; public references to the report indicate the evaluation of 17 global vendors.

The shift is larger than technology. Gartner itself has been championing the transition from data-driven to decision-centric, projecting that by 2028, 25% of data and analytics leaders' visions will adopt this new axis.

It is within this context that Arcogi positions itself: as the layer connecting data, analytics, and AI to governed decisions, controlled execution, and verifiable outcomes.

Where we operate

From foundation to decision

Arcogi navigates the entire chain: operations, data foundation, and analytical intelligence. But our proprietary value lies above them: the layer where context becomes governed decision, coordinated execution, and verifiable outcome.

01

Operations

Data and analytics applied to business reality.

02

Data Foundation

Architecture, integration, quality, governance, and reliable context.

03

Analytical Intelligence

BI, models, behavior, and context reading.

Decision Intelligence

The Arcogi layer: framework and consulting to transform analysis into decision with governance and proof of outcome.

Three areas of focus

Three areas. A single value system.

Framework for DIaaS

Arcogi Decision Intelligence Framework

Proprietary framework ready to productize Decision Intelligence as a service — with governance, auditability, and separation between AI, computation, and human decision.

Explore the framework →
Consulting

From data stack to decision governance

Arcogi operates across the entire journey: data foundation, architecture, governance, analytics, AI, and operational transformation. The difference is we do it through our own lens: Decision Intelligence.

Use cases →
Methodology

Formal published base, proprietary implementation

A methodology built on governance, causality, and risk to rigorously sustain the evolution of companies from data-driven to decision-centric and decision-intelligence.

Explore the Methodology →
What changes

For the business and for leadership

Readiness diagnostic with Decision Governance

Business

The company gains a clearer view of where the gap in data, AI, advanced analytics, and decision-making is capturing or depreciating value for the business.

Leadership

CFO, CDO, and CEO gain a more objective basis to justify investments, prioritize corrections, and champion new allocations.

Internal intelligence

Business

The company better understands its own decision-making dynamics, patterns, vulnerabilities, and leverage points.

Leadership

CEO, CFO, CDO, COO, and CMO begin deciding with a more consistent internal reading, which can be enriched by external intelligence when it makes sense.

Decision governance

Business

Relevant decisions gain traceability, explicit responsibility, and clearer criteria, autonomy, and execution.

Leadership

CEO, CFO, CDO, COO, and risk/compliance areas reduce exposure, strengthen accountability, and elevate executive defensibility.

How it works in practice

A structure that adapts to your reality

No company makes decisions the same way. That's why Arcogi starts with a foundation compatible with your context and evolves with your organization's history.

1

You start with a coherent baseline

Arcogi is born configured for your sector, size, and operational context. Criteria, vocabulary, and governance standards start from a base that fits your reality.

2

You adjust what is unique to your business

Weights, evidence requirements, decision types, indicators, and policies can be adjusted within validated limits. The structure remains intact; the operation adapts to your context.

3

With each cycle, the reading gets more precise

With use, Arcogi compares what was projected with what actually happened. This strengthens the calibration of the decision journey and improves the quality of future decisions of the same type.

4

The core remains stable

What is structural does not change. This is what preserves comparability, auditability, and trust in the calculation. Your company customizes the operational reality; Arcogi protects the integrity of the method.

Arcogi Engine Transparency

Calibration Coverage Map

Arcogi is the only framework that publishes the algorithmic and mathematical stability level of its decision core. Model transparency isn't a feature; it's the center of governance.

Mapa de Cobertura de Calibração
93%
Validated with synthetic resources
7%
Calibrates in usage runtime

What is already validated (synthetic resources — before any client)

Engine's mathematical robustness
100%
Parameter sensitivity
100%
Cycle coherence
100%
Inviolable rules
100%
Cold-start convergence
100%
Methodological pillars
93%
Lifecycle states
86%
Mapped transitions
79%

What calibrates in usage runtime (with real client data)

Correlation between projection and actual result
Runtime
Agreement with industry experts
Runtime
Sector parameter optimization
Runtime
3 cycle states (require real operation)
Runtime
Day 1

Company adopts. Engine operates with synthetically validated sector calibration.

Each cycle

Confirmed decision feeds calibration with real company data.

20+ cycles

Converged framework — stable empirical calibration with client data.

What the 93% means

Engine works on day 1

93% guarantees reliable indicators from the very first decision.

Absorbed error

Parameters 30% wrong = indicator varies less than 3%.

7% is usage-based

Real correlation + experts + optimization. Happens automatically.

Network effect

Each client strengthens the segment. More companies = better for all.