26ers AI Systems Studio

Executive Briefing · 2026

Mission-First
AI Transformation

Most AI transformations begin with technology. The best ones begin with mission.

Competitive advantage no longer comes from deploying more AI. It comes from redesigning how intelligence, decisions, and execution move through the organization.

The Mission-First AI Operating Model

01Mission02Desired Outcomes03Operating ModelCAPABILITYOperational WorkflowsCAPABILITYDecision RightsCAPABILITYGovernance04Continuous LearningFEEDBACK
02The Executive Problem

AI investment is accelerating.
Business value isn't.

Why?

Organizations are deploying AI into operating models that were never designed for AI.

The Outcome Gap is the widening difference between AI investment and realized business value.

Closing the gap requires redesigning the operating model, not simply deploying more AI.

The AI Outcome Gap

AI InvestmentBusiness ValueUnrealized ValueBusiness ValueTime

Closing the Outcome Gap requires redesigning the operating model—not simply deploying more AI.

03Organizational Diagnosis

Why Organizations Struggle to Create AI Outcomes

Technology adoption is not the primary barrier. Organizational systems are.

01 / 08Organizational Barrier

Disconnected Tools

Point solutions create overlap, silos, shadow workflows, and fragmented execution.

04The Reference Model

Architecting for AI Performance

Six integrated layers align mission, operating models, governance, and technology into one management system. Every section that follows explores one layer of this architecture and how it contributes to organizational intelligence.

Select a layer to explore the operating principle

Mission sits above everything. Nothing below it changes its meaning.

05A Zoom Into One Layer

Decision Rights

Governance enables Human + AI teams to execute with trust at scale. Authority defines who decides. Oversight provides visibility. Accountability establishes ownership. Escalation resolves exceptions. Together, these principles govern how decisions are made across the organization.

DecisionRightsAuthorityAuditabilityOversightAccountabilityEscalationExecution
06AI Modern Architecture

The Human + AI Operating System

Organizations do not scale AI by adding more models. They scale AI by building an operating system where humans and intelligent systems work together under one architecture.

Layer 05 / 07

Knowledge & Memory

Institutional knowledge graph, retrieval, document and decision archives. The organization's compounding memory.

Business Impact

Knowledge compounds across people, workflows, and AI systems.

Human + AIOperatingSystem01Governance02DecisionIntelligence03WorkflowDesign04AgentExecution05Knowledge& Memory06Measurement07LearningSystems
07Organizational Intelligence

From Hierarchy to Network

Traditional organizations move information upward through hierarchy before decisions can be made. Organizations built around Human + AI operating systems move intelligence directly to where work happens, enabling faster decisions, stronger execution, and continuous organizational learning.

TRADITIONAL ORGANIZATIONNETWORKED ORGANIZATIONINTELLIGENCE MOVESTO THE POINT OF ACTION

Better coordination enables faster decisions, stronger execution, and continuous organizational learning.

08FROM INTELLIGENCE TO OUTCOMES

From Organizational Intelligence to Mission Outcomes

As intelligence compounds, organizations increase decision quality, execution capacity, organizational leverage, and ultimately produce better mission outcomes.

+Decision Intelligence
+Execution Capacity
+Organizational Intelligence
+Learning Velocity
+Productivity Improvement
+Quality Improvement
+Performance Improvement
+Skills Gap Reduction
=

Equation One · Operating Inputs

Organizational Leverage

Compounds Into
=

Mission Outcomes

Mission Outcomes

Faster Mission Execution
Better Decisions
Higher Operational Performance
Measurable Mission Outcomes
09HOW WE HELP

Build Your AI Modernization Office

AI modernization spans every major organizational capability. AI modernization opportunities across the enterprise.

Standing FunctionAI ModernizationOfficeCross-functionalMissionNorth Star · OutcomesArchitectureReference Model · LayersGovernanceDecision Rights · OversightTechnologyPlatforms · Models · ToolsTeam DesignWorkflowsReadinessHuman + AI DesignLearningMeasurement · Codification
10In the Field

In Practice

Organizations can modernize AI across many different business capabilities. While each mission is different, the principles for governing Human + AI systems remain consistent.

AI GovernanceOperating ModelCustomer ExperienceMarketingSales OperationsService DeliveryDocument GenerationKnowledge ManagementCase ManagementExecutive Decision SupportField OperationsRisk & Compliance

Examples of AI modernization across the enterprise.

11The Momentum Loop

How Human + AI Systems Compound Value

Each cycle creates more capability than the one before it — decisions sharpen execution, execution produces outcomes, outcomes feed learning, and learning compounds into organizational leverage.

Stage 01 / 06

Decision Quality

Human + AI decision systems surface better evidence, sharpen judgment, and accelerate executive alignment.

Business Impact

Higher-confidence decisions, made faster, with fewer reversals.

DecisionQualityExecutionVelocityBusinessOutcomesOrganizationalLearningCapacityExpansionScalability +LeverageThe CoreHuman + AIOperating System↻ Compounding Cycle
12Service Architecture

Engagement Models

From strategy through implementation, 26ers helps organizations design, deploy, and scale Human + AI operating systems that improve performance, increase execution capacity, and create organizational leverage.

01

Strategic Advisory

Strategic clarity for AI-era decisions.

  • Aligned executive direction on operating model strategy.
  • Prioritized opportunity portfolio with clear sequencing.
  • Defined governance posture and decision rights.
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02Featured

Design & Implementation

End-to-end operating model transformation.

  • Human + AI operating system designed, implemented, and operationalized.
  • Governed workflows delivering measurable business outcomes.
  • Internal capability developed to scale and evolve the model.
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03

Optimization & Scale

Compounding organizational leverage over time.

  • Continuous optimization across pilots, rollout, and portfolio.
  • Embedded senior counsel through transitions and expansion.
  • Sustained organizational leverage and adoption velocity.
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Learn More About Service Offerings

Each engagement model is composed of modular services that can be tailored to your organization's goals, operating environment, and implementation needs.

9 Services

13The Firm

Why 26ers

Artificial intelligence is not simply a technology shift. It is an operating model shift.

The organizations that succeed will not be those that deploy the most AI. They will be those that redesign how decisions are made, how knowledge is shared, and how humans and intelligent systems work together.

26ers partners with leadership teams to design Human + AI operating systems that align mission, governance, workflows, and technology into a single operating model—improving decision quality, execution capacity, and mission outcomes.

Lasting transformation does not come from adopting new tools. It comes from redesigning how the organization operates.

26ers AI Systems Studio

Theresa Piasta

Founder & CEO
26ers AI Systems Studio

An enterprise transformation leader and AI strategy executive advising organizations on AI operating models, governance, and Human + AI systems design.

Her experience spans enterprise software, financial services, and military leadership as a former U.S. Army Captain.

Selected Experience

  • Salesforce
  • Outreach
  • Cresta
  • J.P. Morgan
  • Bank of America Merrill Lynch
  • U.S. Army
Theresa Piasta, Founder & CEO of 26ers AI Systems Studio
Next Step

Mission-First AI Modernization

Executive briefing on redesigning your operating model for the AI era.