The Governed Determination Engine from Cydenic
Ci6

Ci6 produces governed determinations.
AI reasons about them, assembles them, and explains them — it never has to invent them. That's exactly what makes them defensible.

Ci6 is the engine that runs Cydenic's patent-pending Governed Determination Architecture. It executes declared domain logic to produce traceable outputs that stand apart from the AI used to interact with them. That separation is the point.

AI may help a user ask for a report, generate a financial statement, compare companies, or understand a result. When correctness depends on values, formulas, thresholds, classifications, rules, or exceptions, Ci6 executes the governed determination.

AI reasons. Ci6 determines.

Governed determination

Four properties of
the determination path.

Every Ci6 determination is built around the same four properties. They are not presentation features. They are properties of the determination path.

Defensible
The determination stands apart from the AI explanation. Remove the explanation, and the governed output remains tied to the logic that produced it.
Traceable
Every value traces back to source inputs and declared logic. When an input is missing, Ci6 records the absence. It does not estimate or fill the gap behind a confident answer.
Reproducible
Given the same inputs and the same declared logic version, the determination can be reproduced. Historical outputs can be reviewed against the logic version that produced them.
Auditable
The determination record is available for independent review. It is not a generated summary or a confidence score. It is the basis for the work.
How it works

The engine executes.
It does not infer.

Ci6 runs declared domain logic: the rules, thresholds, formulas, conditions, relationships, and exceptions that govern a determination in a specific field. That logic is not embedded in a model. It is not created by a prompt. It is not tuned into probabilistic behavior. It is stored as an independent, versioned artifact.

When a determination is requested, Ci6 executes the declared logic against the governed inputs. The output is the result of that execution. Not a prediction. Not a probability. A governed determination.

AI reasons about, assembles, and explains the result. The explanation cannot alter the determination, because the determination has already been produced by the governed engine. That is the condition that makes AI deployable in workflows where the determination has to be defensible.

User or AI request  →  Ci6 executes governed logic  →  Governed determination  →  AI reasons and explains

Adaptable governance

Governance requirements change.
The determination stays governed.

Approval thresholds, review rules, escalation paths, reporting priorities, and metric flags vary by organization, user, workflow, or time period. Governance is not static, and the engine is not designed as if it were.

An approval threshold may apply for one team, one user, one workflow, or one period. A financial metric may need to be flagged only when it crosses a defined boundary. A reporting priority may change without changing the underlying determination logic.

Ci6 is designed so these requirements can be governed, versioned, retired, and audited, without turning every client-specific policy into hardcoded product logic.

The determination remains governed. The surrounding approval, review, escalation, flagging, and reporting behavior remains traceable.

Compute efficiency

Governance is not overhead.
It removes the wrong work from AI.

Probabilistic inference samples its way to an answer. Ci6 executes a computation. When the determination is already governed, AI does not need to generate it. It can focus on interaction, explanation, and presentation around a result that already exists.

Ci6 does not sample. It executes declared rules, thresholds, formulas, and conditions. The answer is the output of that execution, not an inference. AI's role becomes clearer: help users interact with, assemble, and understand governed outputs.

That changes the token math, the latency, and the cost. Against a comparable LLM determination in Cydenic's financial benchmark, the governed path used fewer tokens, reached classification faster, and reduced estimated cost. The reason was not model optimization. The reason was architectural. Ci6 was not asking AI to search for a determination the engine could compute directly.

Figures from Cydenic's financial benchmark, PE-backed SaaS scenario.  Run the financial benchmark →

Agentic workflows

More compute does not
solve a governance problem.

Agentic systems can add steps, tools, reflection, and review loops. But if the required rule, threshold, condition, or exception is not part of the determination path, additional steps do not make the output governed.

In a medical coding demo, an agentic workflow consumed substantially more tokens but still missed a required coverage condition. Ci6 evaluated the declared coverage logic directly and held the claim before submission. The issue was not token budget. The issue was governance.

A determination is only as governed as the logic it is given to execute.

From Cydenic's medical coding demo, WATCHMAN FLX claim review.  Run the medical coding demo →

Demo sites

Ci6 running across
example domains.

These demo sites show Ci6 applied to workflows where the determination requires accountability. In each case, the governed output is produced by the engine. AI may then reason about, present, and explain the result.

Demo site
Economics
A time-series demo using live Federal Reserve data. Ci6 runs the regression, tracks the demand chain, and sets confidence boundaries before the reporting layer explains the projection.
fred.cydenic.ai
Demo site
Finance
A financial analysis demo for multi-quarter private business financials, including GAAP and Non-GAAP evaluation. Ci6 normalizes inputs, detects adjustments, and runs parallel evaluations. The health score reflects governed computation, not model inference.
benchmark.cydenic.com
Demo site
Medical
A medical coding demo for CPT and ICD-10 claim review. Ci6 validates the claim logic against declared coverage requirements and holds the claim if a required condition is absent.
coding.cydenic.ai
Your domain

Where governed
determination applies.

Ci6 is designed for domains where rules, thresholds, formulas, conditions, or exceptions can be declared. If the determination must be traced, repeated, audited, defended, or governed, the architecture may be worth evaluating.

Insurance underwriting
Regulatory capital reporting
Credit and lending
Government benefit determination
Tax compliance
Clinical and pharmaceutical protocols

Talk to us about your domain

We start with evaluations,
not sales scripts.

Cydenic is working with a limited number of technical teams, advisors, and design partners who want to evaluate governed determination against real domain requirements. The best evaluation is direct: your domain, your data, your rules, your accountability requirement. If the governance requirement is real, the conversation is worth having.

Request an evaluation →