Missing company context
Agents know prompts, but not reliably the identity, rules, responsibilities, and effective boundaries of the company they act for.
Governed Agentic AI Infrastructure
Agents may act.But only within your company's boundaries.
UNITERA is the customizable AI operating system for company-specific agentic work. It connects company knowledge, capabilities, autonomy boundaries, and controlled execution into one shared infrastructure.
Customizable AI OS — OfferFlow is the first app on the platform and proves the control architecture in a real process.
Agents have models.
But no organization.
Uncontrolled capabilities
Tools and connections are often granted wholesale instead of being controlled per agent, task, risk, and time window.
No dependable chain of effect
Between an AI decision and an external action, review, traceable authority, and persisted evidence are often missing.
The risk does not start with the agent's thinking. It starts at the transition from proposal to effect.
System model
Four layers. One control architecture.
Each layer has one clear responsibility. Together they form the infrastructure that keeps agentic work company-specific, controlled, and traceable.
01
Company Brain
The canonical company truth — as executable context for every agent.
- Identity
- Rules
- Knowledge
- Roles
- Goals
- Constraints
- Executable context
02
UNITERA OS
The control layer between intent and effect.
- Capabilities
- Permissions
- Grants
- Autonomy levels
- Risk decisions
- External effect
- Evidence and revocation
Every external or privileged action runs through an ExecutionIntent — the OS's universal control object. A Commitment is the stricter form for business-binding effects.
03
Modular Apps
Concrete capabilities for real work. OfferFlow is the first app on the platform; further apps — for contracts, policies, or agent operations — can emerge on the same kernel without inventing their own governance truth.
- OfferFlow — first app on UNITERA
- Extensible with private or reviewed apps on the same kernel
04
Connectors
The architecture's connection model: capabilities act on existing systems only through controlled, revocable connections — under the same grant and evidence model as any other capability.
- CRM
- ERP
- Document systems
- Internal interfaces
- External business systems
Autonomy
Not all or nothing.
Standard user
Agentic work with reviewed UNITERA capabilities and clear approval points.
Advanced organization
Additional reviewed capabilities, organization-specific rules, and differentiated grants.
Deep platform integration
Private tenant capabilities, own policies, role models, and higher autonomy within defined boundaries.
The deeper a company defines its rules and capabilities, the more autonomously its agents can work.
Human-agent cooperation
Maximum useful autonomy within reviewed, revocable boundaries.
Humans contribute
Judgment and accountability
Define the Company Brain
Set identity, rules, and responsibilities.
Release capabilities
Define which capabilities are permitted in principle.
Review and approval
Decide at elevated-risk approval points.
Set grant boundaries
Define how long and how far a capability applies.
Accountability
The name behind every released external effect.
Agents contribute
Scale and consistency
Goal pursuit
Work within the bound context.
Capability request
Request the required capability in a structured form.
Consistency
Hold rules across long interaction chains.
Scale
Handle many cases in parallel within boundaries.
Escalation
Hand uncertainty or risk to review instead of guessing.
Capability model
Capabilities are objects with boundaries — not blanket unlocks.
The architecture's capability model defines three classes. Every capability carries its boundaries as properties — visible, reviewable, and revocable.
UNITERA Capabilities
Reviewed, standardized, and controlled platform-wide.
Certified Publisher Capabilities
In the extension model: provided by external publishers, reviewed before release, and clearly marked.
Private Tenant Capabilities
In the extension model: company-internal capabilities with their own visibility, review level, and permission logic.
Every capability defines
- Permitted action
- Data access
- Risk class
- Required role
- Grant duration
- Review condition
- Revocable authority
Trust architecture
Eight principles that make autonomy accountable.
Not features. Not promises. Structural constraints encoded into the system.
PRINCIPLE_01
Company Brain as source of truth
Identity, rules, and responsibilities are machine-readable, not open to interpretation.
Agents derive context from the Company Brain, not from implicit assumptions or conversation history.
PRINCIPLE_02
No authority by interpretation
Agents cannot invent permission from vague intent.
Execution is intended to require a verified capability — never an assumption inferred from conversation.
PRINCIPLE_03
Capability instead of role unlock
Capabilities are objects with boundaries, not blanket unlocks.
Every capability carries data access, risk class, and grant duration as properties — visible and reviewable.
PRINCIPLE_04
The strictest effective rule decides
The strictest applicable rule is designed to always decide.
Company Brain rules, role policies, and tenant rules are designed to be evaluated against each other — the most permissive rule is never meant to win.
PRINCIPLE_05
Fail-closed by default
Missing authority or evidence is designed to block execution.
Unclear policy state, a missing grant, or inconsistent binding are intended to prevent the effect rather than allow it.
PRINCIPLE_06
Grants are time-limited and revocable
No standing, implicit authority.
Each grant is designed to carry a time window, target binding, and risk class, and to be revocable at any time.
PRINCIPLE_07
Evidence emerges during the process
Receipts and audit records are designed to be persisted during execution.
Evidence is not intended to be created after the fact — it is designed as part of the execution path itself.
PRINCIPLE_08
Tenant isolation
Company Brain, capabilities, and evidence are designed to remain tenant-bound.
Cross-tenant data flow and shared authority between organizations are architecturally intended to be excluded.
Point at or focus a principle to read the technical enforcement in detail.
Governed Agent Flow
From goal to effect — every step under control.
Three scenarios, one control path: the Company Brain binds context, UNITERA OS evaluates role and risk, the strictest effective rule decides — and every effect leaves evidence.
Send an emailexecutedPrepare a contract changereview requiredUpdate a CRM recordexecuted
- 01GoalThe agent receives the goal of sending a follow-up email to an existing customer.
- 02Context bindingcontext boundThe Company Brain binds tone, ownership, and the communication rules in effect.
- 03Capability requestrequestedThe agent requests the capability for external email sending.
- 04OS evaluationUNITERA OS checks role, risk class, and active grants. External communication: medium risk.
- 05Strictest rulereview requiredExternal effect toward customers requires review before sending — the strictest effective rule decides.
- 06Review and approvalallowedThe responsible role reviews the draft and explicitly approves the send.
- 07Execution and evidenceexecutedThe email is sent. A receipt and evidence are persisted.
Governance principles
- 01Foundation rules always take precedence.
- 02After that, the next strictest effective boundary applies.
- 03The riskier an action, the shorter its grant.
- 04Critical effects stay bound to review and approval.
- 05External effect counts as proven only with a persisted receipt.
- 06Audit and evidence emerge in the process, not afterwards.
Proof — OfferFlow
OfferFlow is the first real app on the platform.
An agent drafts an offer. UNITERA binds context, checks pricing and legal rules, requests the required approvals, and allows the send only after controlled authorization. OfferFlow proves the platform — without reducing it to offer processes. The proof surface shows synthetic artifacts and architecture references; synthetic examples are marked as such.
Interactive demo
Take over the next shift — as a demo.
From “Did someone tell you that?” to “It is in the record.”
Test the governance cockpit without system access. Every state transition runs locally in the browser.
Demo data is static. States are not persisted.
Cockpit preview
Demo modeActive shift
Planning slice
active
Last commit
4min ago
good
Evidence status
Complete
good
Gate block
None
good
Recent actions
10:42Proposal review closed
10:38Commit gate verified
10:29Evidence run started
Workflow stages
Proposal review
pendingReview new proposal drafts
Commit gate
blockedVerify the revenue commitment
Evidence run
activeCheck evidence and gates
Handoff flow
pendingPrepare customer handoff
Track record
completedDocument the sequence
Outcomes
What governed agentic work makes possible.
- 01Execute agentic work without giving up accountability.
- 02Bound capabilities per agent, task, and time window instead of granting them broadly.
- 03Make proposals and binding execution technically distinguishable.
- 04Make decisions at approval points effective and reconstructable.
- 05Reconstruct why an action was allowed — step by step.
- 06Make risk visible instead of hiding it.
- 07Create reusable governance for future capabilities.
- 08Prepare the organization for increasingly autonomous agents.
Don't just define what your agents can do. Define when they may.
The next step is not a generic signup. We discuss your Company Brain and your capability model: which rules, roles, and boundaries bind your agents — and where controlled execution begins.