Enterprise AI Workflow Infrastructure
The infrastructure layer for complex enterprise AI workflows.
Stop building the engine. OrbisFramework delivers the AI orchestration, data integration, security, and decision infrastructure that complex enterprise workflows demand. Development focuses on workflow value, not foundation work.
The process methodology behind OrbisFramework was developed across forty years of workflow engagements at the most demanding institutions in healthcare.
The Value
Be in the 5% that earns.
A decision architecture works only when every part performs. One broken component sinks the outcome no matter how strong the rest are. That is why most AI pilots look healthy on a dashboard and fail in reality: the dashboard scores the parts one at a time, but the decision depends on all of them working together effectively.
95%
of enterprise generative AI pilots show no measurable P&L impact
MIT, 2025
40%
of agentic AI projects forecast to be canceled by 2027
Gartner, 2025
The Problem
Every complex AI workflow starts with the same trap.
The Infrastructure Tax
Six to twelve months of foundation work before any workflow value. Building orchestration, security, and audit from scratch while business needs wait.
The Integration Wall
Live data integration as a prerequisite, not a feature. Enterprise data is scattered. Connecting it to AI workflows is where most projects stall.
The Iteration Bottleneck
Workflow logic that requires deployment to test. Every change means another release cycle. Iteration speed collapses under its own weight.
What It Eliminates
The foundation is already built.
Six infrastructure pillars that every complex AI workflow needs. Pre-built. Running on day one. Your team starts at the workflow.
AI Orchestration Engine
Multi-step AI workflows with conditional logic, branching, and state management. No custom orchestration code required.
Live Data Integration
RAG pipelines that connect to enterprise data sources. SQL, APIs, file systems. Live context in every AI call.
Multi-Model AI Management
Route to different models based on task, cost, or capability. Add new models without changing workflow code.
Enterprise Security
SSO, RBAC, encryption at rest and in transit. Security is the floor, not an add-on. Air-gapped deployment available.
Audit and Compliance
Every AI call, decision, and human validation logged automatically. No additional instrumentation required.
Structured Output Management
JSON schemas, validation pipelines, and type-safe outputs. AI results that integrate cleanly with downstream systems.
What Gets Built
Workflow logic. Decision Architecture.
With the infrastructure handled, development focuses on what matters: the workflow logic that captures your organization's expertise and the decision gates that keep humans in control.
Generation
AI produces candidate outputs based on workflow context and enterprise data
Evaluation
Multiple scoring dimensions applied to each candidate
Threshold
Results checked against configurable acceptance criteria
Designed Escalation
The system recognizes when a case has reached the edge of its competence and routes it to a named human role
Orchestration
Approved outputs flow to downstream systems and workflows
In Production Today
Same infrastructure.
Different domains.
Same rapid deployment pattern.
Automotive
Diagnostic and repair decision support
2 weeks to production
Read case studyAcademic Research
Founder's own doctoral workflow, run on the same infrastructure
2,500+ SEC filings analyzed with doctoral-grade rigor
Read case studyEducation
AI-augmented LMS with assessment and adaptive paths
3 weeks to production
Read case studyWhere the Methodology Came From
Built on forty years of process work
OrbisFramework was built by a process expert who spent four decades in environments where errors cost lives and harm people. Bradley W. Petersen built the business intelligence practice at Accenture reaching 400+ hospitals. He scaled the Vizient business intelligence business to 900+ hospital clients, later acquired into IBM Watson Health. He built and exited Total Benchmark Solution to Kaufman Hall and Madison Dearborn in 2016.
The process methodology was proven at Mayo Clinic, Cleveland Clinic, Ascension, Stanford Health Care, and 1,000+ organizations across healthcare, financial services, retail, transportation, and energy. That methodology is now formalized into OrbisFramework.
What forty years of practice taught, frontier AI research confirmed: twenty-four centuries of decision theory and the latest AI ethics research converge on the same architecture.
Ready when you are
Stop building the engine.
Build the workflow.
Earn the return.
Weeks to production, not quarters. Senior engineers freed from foundation work. Enterprise security and audit inherited from day one.