01BUSINESS CONTEXT
Company Brain
Connect what your company knows. Data, documents, memory and rules available according to each person’s permissions.
- Knowledge with traceable sources
- Multiple AI models of your choice
- A workspace for your team
AI-native Transformation Operator
Build your Company Brain.
Turn knowledge into work delivered.
We connect your company’s data and knowledge so people and agents can execute processes with the right context. Our team implements and supports the operation with you.
Multiple AI models. Your company’s context. Governance at every step.
From context to execution. A team accountable for implementation, operation and continuous improvement.
TWO CAPABILITIES. ONE SHARED FOUNDATION.
Understand the business. Act with context.
Company Brain organizes knowledge. Managed Agents turns that context into completed work.
02EXECUTION AND OUTCOMES
Managed Agents
Put that knowledge to work. Agents that run processes with clear limits, human decisions and support from our team.
- Workflows defined with your team
- Approvals at the right moments
- Tracked deliverables and indicators
Context guides execution. Each delivery creates evidence to improve the next cycle.
01 / COMPANY BRAIN
Your business context.
The foundation for your AI.
Your data lives in silos. Company Brain connects systems, memory and knowledge, organizing the rules, relationships and permissions that give your business its context.
Systems & data
Documents & conversations
Memory & knowledge
Company Brain
Your company’s
governed context
Multiple AI modelsYour choice
Your team’s workspace
Managed Agents
Connect what matters
We integrate relevant sources for each use case. Data, documents and history form a shared context with identifiable sources.
Represent your business
Concepts, rules, agents, skills and workflows gain relationships and permissions. The ontology reflects how your company operates.
Choose how to use it
Your people and agents use authorized context with models chosen for each task, according to enabled integrations and data policies.
Less context to explain.
More room to create.
KNOWLEDGE IN MOTION
Less context to explain.
More room to create.
Talk to your business. Create documents, presentations and emails from what your company already knows, respecting each person’s access.
Explore an example: turn the same context into different formats.
What should we prioritize in our next sales meeting?
Company BrainAn answer with context
An answer with context
Prioritize opportunities that need a decision to move forward. Combine pipeline stage, interaction history and business rules before deciding on the next step.
Illustrative experience, with no connection to real data.
What do you need to improve?
Start with the process that matters.
Explore three application examples. Scope and indicators are defined with your team.
Turn history into the next action.
Scattered information slows opportunity follow-up.
Explore processFind discrepancies. Prioritize exceptions.
Manual reconciliation hides pending issues across documents and systems.
Explore processResolve with context. Escalate with clarity.
Answers depend on repeated lookups and handoffs without history.
Explore process02 / MANAGED AGENTS
See the work happen.
From incoming data to delivery, with human decisions where they matter. Select a process to explore.
Company BrainManaged AgentsOutcomes
Managed Agents / Governed executionIllustrative exampleWORKFLOW / 01
Turn history into the next action.
Sources and contextCRM, meetings and interaction history
Agent actionConsolidate context and prepare the next action
Human decisionApprove the approach before contacting the customer
DeliveryAction plan with sources and an owner
Illustrative demonstration · not customer results
We discuss the challenge, available sources and feasibility of the next step.
Delivery criteria
What makes delivery verifiable?
Before automating, we agree on how to evaluate. Each process needs identified sources, approval criteria and an indicator to track.
Traceable sources
Know which documents and systems support each action.
Explicit decisions
Define what agents can execute and what needs approval.
Tracked outcomes
Compare the process with its baseline, without generic promises.
A PARTNER TO IMPLEMENT AND OPERATE
Your team knows the business.
Ours makes AI work.
As an AI-native Transformation Operator, we work with your team to design the solution, bring it into production and sustain the operation. With clear owners, deliverables and acceptance criteria.
Define the right work
Map the use case, data, users and business rules. Agree on human decisions, the expected outcome and how delivery will be evaluated.
Agreed scope and criteriaImplement and validate
Integrate sources, structure Company Brain and configure the workspace and AOPs. Validate permissions, exception scenarios and quality before going live.
Validation and acceptance milestonesOperate and improve together
Monitor execution, handle incidents and review quality and costs within the agreed scope. Evolve models, agents and procedures alongside your team.
Defined operation and responsibilitiesTECHNICAL DEPTH. ACCOUNTABILITY FOR DELIVERY.
From model selection to agent operations.
Integrations, AI models, agents, skills and harnesses — the mechanisms that control execution, tools and evaluations. We make these technical decisions around your use case.
Engagement follows the work: project, implementation and operation. Scope, deliverables, level of support and pricing are agreed together.
TECH & AI SOVEREIGNTY
Intelligence evolves.
The assets are yours.
Every cycle of work builds something your company keeps: organized knowledge, executable capabilities and evidence. Operational assets that can evolve with you.
Clear ownershipYour data, ontology, and the agents, skills and workflows configured for your business have ownership and usage terms set out in the agreement.
Freedom to chooseModels and environments can evolve with your company’s needs, policies and available integrations.
Practical portabilityTransfer planning covers export, import, credentials, testing and an inventory of dependencies.
YOUR OPERATIONAL ASSETS
They go with your business.
Your company
Data & knowledgeSources, memory and validated context
Business ontologyConcepts, rules and relationships
Agents, skills & workflowsCapabilities configured to operate
Evidence & decisionsHistory, criteria and lessons learned
How we define portability
We define what is exported, the destination environment, acceptance tests and the dependencies that need replacing or reconfiguring. OperOS technology and third-party components retain their respective rights; the scope of client assets is explicit in the agreement.
FREEDOM WITH ACCOUNTABILITY
The right context. For the right person.
Explicit permissions
Who can access, decide and execute is defined from implementation onward.
Private data
Access and data policies guide the sources, models and environments used.
Traceable actions
Context, decisions and actions leave evidence for review and follow-up.
Technology in service of your context.
Technology ecosystem. Brands do not imply endorsement or commercial partnership.
Data & AI Ecosystem
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
OpenAI
Anthropic
Gemini
DeepSeek
Meta Llama
PARTNER PROGRAM
Expertise that expands
our capacity to deliver.
The Partner Program connects business and technology specialists with OperOS to build and operate solutions with clear responsibilities.
Business expertise
Bring your industry experience to each company’s challenges and language.
Technology and integration
Explore opportunities to connect systems, data and solutions to Company Brain.
Solutions and execution
Develop applications and workflows on a governed context foundation.
QUESTIONS THAT MATTER
Good questions.
Straight answers.
Will the solution fit our process?
Yes. We start with your use case, data, users and business rules. We define scope, integrations, permissions and acceptance criteria before implementation.
What changes when an SOP becomes an AOP?
The procedure describes how agents execute the work: objectives, steps, authorized sources, skills, limits, approvals and evidence. The version is validated with the process owners before operation.
Who handles operations and exceptions?
OperOS implements and monitors the operation within the agreed scope. Your company defines the owners of business decisions; agents follow their boundaries and route exceptions for human review.
Can we choose our AI models?
Yes. Context is structured for use with different models through enabled integrations. The choice considers the task, data policies, security and company permissions.
How do Company Brain and Managed Agents differ?
Company Brain organizes and makes governed context available. The workspace lets people talk and create with that knowledge. Managed Agents use the same foundation to execute workflows with oversight and outcome criteria.
What belongs to our company?
Data, context and business assets are treated as your company’s operational assets. Ownership, usage and transfer of configured ontology, agents, skills and workflows are explicit in the agreement, preserving OperOS technology and third-party rights.
How are pricing and outcomes defined?
According to the work: a scoped project, implementation by accepted milestones, and ongoing operation with deliverables or outcome units. Metrics, responsibilities and measurement criteria are agreed; the format does not assume payment solely for financial results.
Let’s assess one of your business processes.
We discuss the challenge, available sources and feasibility of the next step.