Enterprise AI Acceleration Platform

AI is everywhere. Transformation isn't.

Turn AI into how your company works.

People

What AI would you putin the hands of every employee?

Business

How would you put AIinside your core business?

Onni solves both.

One architecture.Two acceleration engines.

ONNI
PeopleFabric
BusinessBuilder · Atlas
Enterprise AI

Question one · People

What AI would you put in the handsof every employee tomorrow?

  1. A ChatGPT?
  2. A copilot?
  3. A catalog of agents?
  4. Or an AI that actually knows their work?

Onni Fabric

Don't give everyonethe same AI.Give everyone an AI thatknows their work.

Fabric turns roles, activities, knowledge, rules and processes into an intelligent workspace for every employee.

Fabric Understand work. Augment people. Measure productivity. Learn continuously.

Onni Fabric chat: a ten-step proposal process, each step executed by the agent and signed off by the right role

Mariana CostaCommercial Director

Your work

  • 12 core activities
  • 8 workflows
  • 4 high AI-potential activities
  • 3 approvals you own
  • 2 pending today

I need to prepare the ACME proposal.

Fabric doesn't answer like a generic chatbot. It already knows:

  1. Activity
  2. Skill
  3. Process
  4. Rules
  5. Knowledge
  6. Approvals
  7. Result
  1. KnowUnderstands the work.
  2. ExecuteExecutes activities.
  3. MeasureMeasures productivity and gain.
  4. LearnLearns from real use.

But how does Fabric know what each person does?

We mapped workbefore automating it.

  • APQC PCF v8processes
  • CBOBrazilian occupations
  • O*NETtasks and skills
  • Anthropic Economic IndexAI exposure
  • Regulations & standardsISO 9001, PMI, SHRM
  • Your companypolicies, documents, data
Work intelligence
  1. Role
  2. Activities
  3. Skills
  4. Rules
  5. Knowledge
  6. Execution

Before automating work, understand work.

Before measuring AI,set the human baseline.

Before AI

3h 00m

Manual effort, reference

With Fabric

8m 42s

Execution, measured

2h 51m returned.

Fabric compares every execution with the manual reference: time, tokens, cost, human interaction and gain.

Transform your workforce

But individual productivitydoesn't transform a company.

Core processes do.

Question two · Business

How would you accelerate AIin your core business?

  • Which process first?
  • Which benefit?
  • Which architecture?
  • Which agent?
  • Which data?
  • Which knowledge?
  • Which rule?
  • Which risk?
  • Which integration?
  • Who approves?
  • How to measure?
  • How to govern?

This is not a chatbot problem.It's an enterprise transformation problem.

Most AI programs invest in the 30%.Transformation happens in the 70%.

10%Algorithms
20%Technology + data
70%People + processes

The 10-20-70 rule, Boston Consulting Group.

Onni turns the 70% into engineering.

Onni Builder

From business intentto governed production.

Builder Redesign processes. Build capabilities. Execute dynamically.

  1. “Reduce opportunity-to-contract cycle time.”
  2. 01 Understand
  3. 02 Diagnose
  4. 03 Redesign
  5. 04 Build
  6. 05 Execute
  7. 06 Measure

Live case · Revenue-to-Cash · TodayBottlenecksRedesigned

“Reduce opportunity-to-contract cycle time.”

Don't automate bureaucracy.Redesign it.

  1. CRM
  2. Proposal
  3. Pricing
  4. Finance
  5. Legal
  6. Contract
  7. Signature

Queues and rework between handoffs

Opportunity
Pricing
Margin
Contract risk
Policy
Straight-through
ExceptionHuman

But how does it scale to hundreds of processes?

Processes don't call agents.Processes require capabilities.

  1. Business intent
  2. Process
  3. Capability
  4. Discovery
  5. Policy
  6. Routing
  7. Agent
  8. Tools / systems

The Builder manifesto

  1. Build once.
  2. Publish capabilities.
  3. Discover at runtime.
  4. Compose dynamically.
  5. Route intelligently.
  6. Govern centrally.
  7. Execute anywhere.
  8. Prove every decision.
  9. Learn continuously.

What happens to everything AI creates?

Everything your AI learnsshould compound yourenterprise intelligence.

Atlas Governance as a by-product of engineering.

Preserve architecture. Connect knowledge. Govern continuously. Models and vendors change; what your AI learns stays in your enterprise graph, documented while it is built and run.

Transform your core business
  1. Process
  2. Capability
  3. Agent
  4. Knowledge
  5. Data
  6. Decision
  7. Evidence
  8. ATLAS

One vision. One platform.Two speeds of transformation.

People
Onni Fabric skills catalog by role
Fabric
Business
Onni Builder library of certified agents
Builder · Atlas
AI platform
RuntimeAgents
KnowledgeMCP
DataSystems
Governance

AI transformation fails when peopleand processes move at different speeds.

People without process

Productivity ↑Enterprise transformation →

Process without people

Technology ↑Adoption ↓

People + process

Scale ↑Transformation ↑

Accelerating AI requires individuals and the company to share the same vision, the same knowledge and the same work platform.

AI Strategy

The questions that defineyour AI strategy.

AI doesn't start with choosing a model. It starts with asking the right questions.

Built forenterprise reality.

  1. ExperienceApps · Chat · Copilots · Voice · APIs
  2. Intent & processBusiness intent · process models · SLAs
  3. Enterprise agent control planeRegistry · Discovery · Policy · Router
  4. Agent runtimeA2A · Agents · Memory · Context
  5. Capability & tool fabricMCP · APIs · Events · Workflows
  6. Enterprise systemsSAP · Salesforce · TASY · Oracle · Legacy
  7. Data & knowledgeRAG · Graph · Documents · Databases
  8. Security · Identity · Observability · Evaluation · FinOps · Audit · Governance

You don't need to replace your enterpriseto become AI-native.

Onni
  • SAP
  • Salesforce
  • Oracle
  • Java
  • Mainframe
  • Data lake
  • Documents
  • APIs
  • Legacy

Refactor what matters. Integrate what works.Build what is missing.

Same architecture.Different intelligence.

Healthcare

  1. Patient
  2. Triage
  3. Clinical decision
  4. Regulation
  5. Hospital

Telecom

  1. Customer
  2. Interaction
  3. Quality
  4. Churn
  5. Retention

Government

  1. Citizen
  2. Request
  3. Eligibility
  4. Process
  5. Decision

Financial services

  1. Customer
  2. Risk
  3. Compliance
  4. Decision
  5. Transaction

Industry

  1. Operation
  2. Quality
  3. Maintenance
  4. Supply chain

The platform stays. The domain changes.

Fabric in production

Proof

Mapped for every role

AccountantLawyerFinanceMarketingProductionHRSalesProcurementCustomer serviceLogistics
Activities / skills
27,320
Business rules
148,027
Indexed documents
2,392,234
Learning deltas
10M

It doesn't start empty.And it doesn't stop learning.

Not just software

The Onni Method.

  1. 01DiscoverWhat work matters?
  2. 02MapHow does it operate today?
  3. 03RedesignWhat should change?
  4. 04BuildWhat capabilities are required?
  5. 05ExecuteHow should AI and humans operate?
  6. 06GovernCan every decision be explained?
  7. 07MeasureDid it create value?
  8. 08LearnWhat should become the new standard?
See the method in depth

Talk to Onni

Let's talk about your AI.

Tell us who you are and where you want to start. We reply within one business day.