NUCADIA
Design partner
Intent infrastructure for enterprise AI

AI can access your company.It still doesn't know what your company is trying to accomplish.

Nucadia gives every AI system a governed answer — grounded in your business strategy and current situation — to what matters and what it should do next.

Organizational intent · current context · constraints · capabilities → decision-ready Action Context

SCROLL TO RESOLVE
Nucadia core architectureOrganizational intent, context, actor task and situation, and an externally authorized capability envelope enter the resolver. The resolver produces an Action Context for an AI system or agent.GOVERNED INPUTSRUNTIME OUTPUTINTENTGoals · priorities · constraintsCONTEXTRelevant state · provenance · freshnessACTOR / TASK / SITUATIONWho · what · current conditionsCAPABILITY ENVELOPEExternally authorized possibilitiesRESOLVERApply governed specificationEvaluate applicabilityCompile decision contextACTION CONTEXTActive intentSelected contextPrerequisites + constraintsApplicable capabilitiesAI SYSTEM / AGENT
The problem

More data doesn't mean better context.

Every AI application reconstructs organizational intent independently.
RAG + INTENT

Retrieval finds information. Nucadia determines what should govern the decision.

RAG, search, databases, and graphs can still supply candidate information. Nucadia evaluates that information against the current objective, authority, task, and situation before it becomes decision context.

01

AI has information.

RAG, search, databases, and enterprise systems can retrieve what the company knows.

02

AI has tools.

Agents increasingly have access to dozens or hundreds of operations across enterprise systems.

03

AI still has to infer what matters.

Goals, priorities, constraints, prerequisites, and appropriate actions remain scattered across strategy documents, policies, workflows, prompts, and people's heads.

One decision, different context

What matters for this decision, right now?

A customer-success agent has permission to read account data, communicate with the customer, prepare a renewal, and offer a discount. But permission alone does not tell the agent what makes sense now.

ACTORCustomer Success Manager
TASKHandle renewal
SITUATIONAcme Corp
STATERenewal in 14 days · Strategic account · Critical service case open
Active intent

Retain the strategic account while protecting operating margin.

Mandatory constraint

Resolve the critical service failure before commercial negotiation.

Resolved capabilities
support_case.readrecommended
customer.emailapplicable
case.escalateconditional
specialist.scheduleconditional
renewal.generateblocked
discount.offernot applicable

The agent had permission to offer a discount. Nucadia gives it the context to understand why that is not the right action yet.

The control plane

Turn organizational intent into infrastructure.

Nucadia creates a governed layer between enterprise strategy and runtime AI behavior.

In practice, Nucadia turns business strategy and operating rules into a reviewable specification, lets your organization decide what is authoritative, and applies that specification whenever AI needs to make a decision.

ARCHITECTURE PRINCIPLE

AI helps create and maintain the specification. The Resolver applies it. Runtime AI can assist with bounded interpretation without becoming the authoritative source of organizational intent.

AUTHOR

AI helps structure the specification.

Strategy, policy, role definitions, workflows, schemas, data catalogs, and tool descriptions become proposed Intent Objects, Task Schemas, context relationships, source-authority rules, prerequisites, and Capability Objects.

GOVERN

Authority stays with the organization.

AI-generated proposals do not automatically become authoritative. Nucadia keeps approval state, provenance, version, scope, and effective time explicit before configuration becomes active.

RESOLVE

The Resolver applies the specification.

At runtime, Nucadia evaluates the actor, task, situation, current state, and authorized capabilities against the governed specification and produces a traceable Action Context. Runtime AI may help classify requests, extract entities, or retrieve candidates, but those interpretations remain subject to governed resolution.

Intent / authoring

Convert strategy into governed intent.

AI proposal
Source2027.1
STRATEGY DOCUMENT

FY27 Customer Growth Strategy

Our priority is profitable retention of strategically important customers. Critical service failures should be addressed before commercial concessions are introduced. Teams should preserve margin while restoring trust and resolving the underlying service problem.

OWNERExecutive Strategy
UPDATEDSEP 08 2026
Proposed intent objectINT-CS-017
OBJECTIVE
Retain strategically important customers
PRIORITY
Protect operating margin
MANDATORY CONSTRAINT
Resolve critical service failures before commercial concessions
SCOPECustomer Success
AUTHORITYExecutive Strategy
EFFECTIVEOCT 01 2026
Intent / active path

Resolve broad strategy into task-level intent.

RESOLVED FORAcme renewal
ENTERPRISEINT-ENT-001 / V22

Profitable growth

Grow durable customer value without sacrificing operating discipline.

FUNCTION / CUSTOMER SUCCESSINT-CS-017 / V07

Strategic retention

Prioritize retention of strategically important accounts while protecting margin.

ROLE / CSMINT-CSM-004 / V11

Resolve service risk before renewal

Critical service failures are addressed before commercial concessions.

TASK / ACME RENEWALTASK-ACME-0917 / Vruntime

Stabilize relationship before negotiation

Current task inherits all mandatory constraints above.

Author Govern Resolve lifecycleEnterprise sources feed AI-assisted authoring. Proposed configuration is reviewed and attested, becoming a versioned governed specification. At runtime the resolver applies the specification.ENTERPRISE SOURCESSTRATEGYPOLICYROLESWORKFLOWSTOOLS / APIsAI-ASSISTEDAUTHORINGExtract structurePropose relationshipsGOVERN + ATTESTReview proposalEstablish authorityVersion + effective timeActivate / supersedeGOVERNED SPECRESOLVEActorTaskSituationAI helps create and maintain the specification.The Resolver applies the specification.
Runtime resolution

What matters for this decision, right now?

Nucadia compiles the intent, information, constraints, unknowns, and available actions that should govern the current decision into a versioned Action Context.

REQUESTINTENTCONTEXT + PREREQUISITECAPABILITIES
Runtime / resolve

What applies to this decision, right now?

RES-0001482
ACTORCustomer Success Manager
TASKHandle renewal
SITUATIONAcme Corp
Active intent

Retain the strategic account while protecting operating margin.

Mandatory constraint

Resolve the critical service failure before commercial negotiation.

Selected context3 / 19 CANDIDATES
Account tierStrategicCRM / current
Renewal14 daysCRM / current
Service caseP1 · OpenServiceNow / current
Blocking prerequisiteblocking
Remediation state

Current remediation outcome has not yet been established.

Applicable capabilitiesAUTHORIZED ENVELOPE / 17
customer.emailapplicable

Appropriate for status communication and expectation setting.

case.escalateconditional

Use if the service case remains unresolved or SLA risk increases.

specialist.scheduleconditional

Use if specialist intervention is required.

renewal.generateblocked

Commercial negotiation is blocked by unresolved remediation state.

discount.offernot applicable

Not appropriate as the first response to unresolved service failure.

SAFE HANDLING

When context is insufficient, Nucadia does not have to guess. A missing prerequisite can be represented as blocking or nonblocking. The Action Context can direct the downstream system to clarify, abstain, defer, escalate, or continue only with explicitly permitted subtasks.

TASK SCHEMA

Required decision fields, dependencies, unknowns, and stopping conditions

COVERAGE

Included, irrelevant, withheld, unavailable, stale, or conflicting

SOURCE STATE

Authority, freshness, provenance, and current version

REPRODUCIBILITY

Bundle, intent, resolver, and source versions with re-resolution triggers

DELIVERY

Canonical model-agnostic context for copilots, agents, workflows, and applications

Agents + capabilities

Give agents the capabilities that make sense now.

Existing IAM, policy, and application systems remain authoritative over what an agent may access or invoke. Nucadia conditions the downstream agent's planning on intent, current state, prerequisites, constraints, and the already-authorized capability set.

AUTHORIZATION ANSWERSWhat may this agent do?

Existing IAM, policy, and application systems remain authoritative.

NUCADIA ANSWERSWhat makes sense to do now?

Resolve applicability against intent, prerequisites, and current state.

Nucadia governs the decision environment and conditions for action. The downstream agent plans and sequences the action.

Nucadia can provide a high-recall, low-noise set of capabilities that make sense in the current state. The downstream agent can then select and sequence the appropriate implementation.

POTENTIAL EFFICIENCY BENEFIT

Narrower context and capability sets may reduce unnecessary input tokens, irrelevant tool schemas, retrieval, and failed agent loops. This has not yet been validated in production.

AUTHORIZED CAPABILITY ENVELOPE18
support_case.read
case.escalate
specialist.schedule
customer.email
crm.update
renewal.generate
discount.offer
invoice.adjust
contract.send
calendar.book
knowledge.search
account.merge
ticket.close
forecast.update
quote.generate
task.create
customer.sms
approval.request
RESOLVED FOR CURRENT STATE5 applicable or conditional
Capability registry

Describe what can be done before an agent needs to choose.

CAPABILITIES4 SHOWN
CUSTOMER COMMUNICATION
Customer communication
CAP-COMM-001RISK / LOW
SERVICE REMEDIATION
Escalate service case
CAP-SVC-004RISK / MEDIUM
EXPERT COORDINATION
Schedule specialist
CAP-SCH-002RISK / LOW
COMMERCIAL
Generate renewal proposal
CAP-COM-009RISK / MEDIUM
Capability objectCAP-COMM-001 / V08

Customer communication

Communicate status, expectations, and next steps to a customer.

BEST FOR
  • Service updates
  • Expectation setting
  • Relationship recovery
POOR FIT
  • Binding financial commitments
IMPLEMENTATIONS
Outlook EmailAVAILABLE
Salesforce MessageAVAILABLE
Twilio SMSAVAILABLE
RISKLOW
AUTHORIZATIONEXTERNAL
PREREQUISITEValid customer channel
Agent execution and re-resolution loopNucadia resolves current decision context. The downstream agent plans and acts using applicable capabilities. The resulting state change triggers a new resolution.1 / RESOLVECompile current Action Context2 / PLANAgent selects + sequences actions3 / ACTExternal tools execute4 / STATE CHANGEResults update the decision environmentRE-RESOLVEwhen the world changesNucadia governs conditions for action. The agent plans the action.
Evidence

Decision quality comparable to an ideal expert brief.

92.8%
Nucadia decision context
action correctness
41.9-47.5%
Raw + conventional context
action correctness
91.7%
Ideal expert brief
action correctness
ACTION CORRECTNESS

Did the AI choose the right next action given the intent, constraints, permissions, and information it should have used?

Behavior correctness: 95.6% · reversal accuracy: 97.5% · null stability: 100% · explicit unauthorized context exposure detected: 0 · three acting model families.
Responses were evaluated by model families other than the model that produced the response.
CONTROLLED TECHNICAL VALIDATION

This was a sealed synthetic enterprise benchmark across three model families, conducted under the earlier working name IntentSpec. Nucadia is the current public brand; the underlying condition and results are unchanged. It provides evidence for the context-resolution mechanism under controlled conditions. It is not production customer evidence, a security certification, or proof of business outcomes.

Strategy activation and feedback loopStrategy becomes governed intent, which shapes Action Context, AI decisions and execution. Outcomes and observed behavior feed an activation and divergence view that can inform refinement.STRATEGYOrganizational directionINTENTObjectives + constraintsACTION CONTEXTWhat should governnowAI DECISIONReasoning in contextEXECUTIONTool + humanactionOUTCOMEObserved resultACTIVATION / DIVERGENCECompare declared intent with observed behavior + outcomesTOP-DOWN ACTIVATIONBOTTOM-UP SIGNAL
The larger system

Change strategy once. Let AI behavior follow.

Nucadia can propagate governed business strategy into runtime decisions, observe how AI behaves under that intent, and surface where execution begins to diverge.

Local intent, exceptions, tool use, and outcomes can create review signals without automatically rewriting authoritative organizational intent.

Design partners

Help shape the intent layer for enterprise AI.

We are working with a small number of teams building enterprise agents, copilots, and AI platforms to test Nucadia against real decision workflows.

01One agent or copilot
02One task family
03One intent structure
04One capability catalog
05One or two enterprise context sources

The goal is not a broad platform rollout. It is to test whether governed intent and context materially improve one consequential AI workflow.