The enterprise AI Factory is becoming the operating model for production AI. Runtime control is what makes it scalable.
Enterprise AI Factory · Runtime control built in

Build AI.
Control what it can cause.
Scale what works.

Trustwise AI Control Plane turns a collection of models, agents, tools, data, and infrastructure into a production operating system for enterprise AI—finding the best admissible chain, controlling it at runtime, continuously improving its economics and performance, and proving what happened from intent to outcome.

For large enterprises, OEMs, and AI infrastructure & platform partners.
The modern enterprise AI Factory

1. AI-powered workflows

Where enterprise value is delivered.

VALUE
ResearchServiceOperationsDecision supportTransactions

2. Agentic systems

Where AI plans, reasons, coordinates, and acts.

EXECUTION
AgentsMulti-agentModelsMCP / ToolsOrchestration

3. Intelligence & infrastructure

The data, models, compute, and enterprise systems that power the Factory.

FOUNDATION
Enterprise dataKnowledgeModelsCloud / On-premMetadata
ASSESSFind admissible chains
CONTROLOperate safely
OPTIMIZEImprove continuously
Built to work acrossMicrosoft CopilotClaude & custom agentsMCPAWS · Azure · GCPPrivate AIEnterprise systems
Why now

Stop scaling AI one project at a time.

Most enterprises have already proven they can build AI. The next challenge is operating an expanding, multi-vendor AI estate as one repeatable production system.

AI projects

×Bespoke integrations for every workload
×Separate controls by model, tool, or team
×Manual approval and fragmented evidence
×Opaque AI operating cost
×Risk discovered after deployment

AI Factory + Trustwise

Reusable architectures, methods, and controls
Chain-level runtime control across the AI estate
Evidence built into execution
AI-estate economics by agent, model, tool, and route
Continuous optimization without weakening hard controls
One operating model

Three assets. One production AI system.

The AI Factory builds and runs AI. The Trustwise AI Control Plane controls execution. The client’s AI Control Tower provides the enterprise management view.

01
Build & run

AI Factory

The industrial foundation for enterprise AI.

  • Compute & infrastructure
  • Models & data
  • Agents & orchestration
  • Tools & deployment
02
Runtime control

Trustwise AI Control Plane

The cross-cutting runtime control plane for the AI estate.

  • Assess admissible chains
  • Control session → chain → step
  • Optimize trust, cost & latency
  • Produce evidence from intent to outcome
03
Enterprise management

Client AI Control Tower

The enterprise-owned management tier powered by Trustwise runtime evidence.

  • Inventory & ownership
  • Risk & authority posture
  • Evidence & reporting
  • AI-estate economics
What changes

What a controlled AI Factory makes possible

Move from isolated experiments to a production AI operating model that can scale across teams, vendors, and use cases.

More AI reaches production

Assessment becomes executable control instead of another static report.

Autonomy expands safely

Control the full execution chain—not only the prompt or model response.

$

AI gets cheaper to operate

Improve trustworthy output per dollar across models, tools, retries, context, and review.

Every action becomes provable

Trace intent, authority, selected chain, control decision, execution, and outcome.

Three routes to market

Build the AI Factory that fits your business.

The product stays the same. What changes is whose Factory you are helping create—and where Trustwise sits in the value proposition.

For enterprises

Turn fragmented enterprise AI into one controlled production system.

Unify homegrown agents, commercial copilots, private models, MCP, tools, and enterprise systems under one runtime-control model.

Build my enterprise AI Factory
Created AICustom agents, workflows, coding agents, fine-tuned systems
Imported AIMicrosoft Copilot, SaaS AI, third-party agents and tools
Enterprise systemsData, APIs, CRM, ERP, finance, identity, operations
TrustwiseOne runtime-control model across all three surfaces
How it works

From workload to controlled production in three stages.

Trustwise finds and controls the best admissible AI chain for every workload—subject to hard enterprise gates for security, reliability, and policy compliance.

01 · ASSESS

Find the best admissible chains.

Discover candidate agents, models, tools, routes, and environments. Apply hard enterprise gates before economics or performance optimization begins.

RiskAuthorityTrustEconomicsSovereignty
02 · CONTROL

Operate the selected chain safely.

Control authority from session to chain to step. Allow, modify, escalate, restrict, degrade, quarantine, or suspend before enterprise consequence.

SessionChainStepEvidence
03 · OPTIMIZE

Continuously improve its economics and performance.

Improve model and tool choice, routing, latency, retries, review burden, utilization, and trustworthy output per dollar—without weakening hard admissibility gates.

TrustCostLatencyRoutingSubstitution
Worked example

US Bank-style commerce agent

A customer asks an autonomous agent to buy the best available laptop under a budget. The prompt is not the risk. The execution chain is.

IntentAgentSearchModelMerchant APIFraud checkPayment API
Runtime decisions
Discover approved productsALLOW
Route to lower-cost admissible modelMODIFY
Use newly added merchantESCALATE
Execute above delegated spend thresholdBLOCK
Compounding advantage

The Factory gets better with every execution.

Every controlled chain produces evidence and economics that improve how the enterprise operates AI—without silently expanding authority.

The more AI the Factory runs, the better the enterprise becomes at operating AI.
TrustWhich chains remain reliable?
CostWhere are models or tools too expensive?
RetriesWhere are loops and failures consuming spend?
Human reviewWhere is operational friction highest?
UtilizationWhich agents are idle or duplicated?
RoutingWhere can models or tools be substituted?
Proof

Built for AI that has to work in the real enterprise.

Use these as public-safe proof patterns until specific customer claims and logos are approved.

Global financial institution

From assessment to executable runtime control

Translate risk, authority, and evidence requirements into controlled runtime decisions across agents and tools.

Data & intelligence platform

From proprietary intelligence to AI Factory

Enable customers and ecosystem partners to build agents on trusted data while preserving runtime control and proof.

Global consumer enterprise

One control model across a heterogeneous AI estate

Apply consistent runtime control across homegrown agents, commercial copilots, multiple models, clouds, and enterprise systems.

The AI Factory is for you if…

AI is moving from pilots into production
Agents can call tools or affect enterprise systems
You operate multiple models, clouds, or frameworks
You need evidence beyond logs
You want greater autonomy without losing enterprise control

This is probably too early if…

·AI is limited to isolated experimentation
·Your systems only generate low-risk text for human review
·You have no near-term plan to connect AI to tools or workflows
Design your AI Factory

See what your production AI operating model could look like.

Map your workloads, models, agent platforms, data, tools, infrastructure, authority surfaces, runtime-control requirements, and AI-estate economics into an initial AI Factory Blueprint.

Design my AI Factory