TENTRICO AT ANY SCALE

One development system. From one developer to an entire enterprise.

Tentrico uses the same model at every scale: requirements stay connected, AI agents coordinate around missions, humans step in when judgment matters, and evidence proves the outcome.

  1. SoloOne developer with a coordinated engineering system.
  2. TeamDevelopers and AI agents with one shared direction.
  3. EnterpriseGoverned AI-native engineering across the organization.

01 / SOLO DEVELOPER

One developer. An entire engineering system.

Turn an idea into coordinated work without becoming the project manager for a collection of AI tools. Tentrico keeps the requirement, agents, decisions, tests and evidence connected while you build.

  • Stay in controlYou own the requirement and the decisions.
  • Use your agentsTentrico coordinates the tools you choose.
  • Keep execution localSource, credentials and execution can remain on your machine.
  • Know when it’s doneCompletion means evidence — not an agent saying “done.”
My workspaceImplementing

REQ-0042Add team invitations

  • MissionMIS-0081
  • Build · CodexRunning
  • Review · Claude CodeWaiting
  • Verify · OpenCodeQueued
  • Human tasks0
  • Requirement healthImplementing
  • Git
  • Tests
  • Local environment
  • Evidence

Illustrative product preview · sample data

  1. Tentrico
  2. Local workspace
  3. Codex
  4. Claude Code
  5. OpenCode
  6. Git · Tests · Dev
  7. Evidence
One local Fabric: your agents, your repository, your evidence.

Now add another developer.

The model doesn’t change.
The coordination layer expands.

Shared coordination layer
  1. Developer A
  2. Developer B
  3. Developer C

02 / TEAM

Your developers and AI agents. One shared direction.

Give every developer and AI agent the same source of truth while preserving local execution and individual workflows.

  • Shared requirementsEveryone works from the same intent.
  • Shared missionsWork can move across developers and agents without losing context.
  • Human tasksDecisions reach the right person instead of leaving an agent blocked.
  • Shared evidenceThe team can see what has actually been verified.
  • Local executionDevelopers can keep source and execution in their own working environments.
Team overviewIllustrative workspace data
Requirements
47
Missions running
8
Human tasks
3
Decisions required
2
Verified requirements
41
  • MIS-0182Enterprise SSOBuilding
  • MIS-0187Authentication policiesReviewing
  • HT-0042Production configurationWaiting for human
  • DEC-0041Authentication dependencyAction required

Illustrative workspace data · not customer statistics

Shared Tentrico control plane

  • Requirements
  • Missions
  • Decisions
  • Human Tasks
  • Evidence
  • Developer ALocal agentsRepos · Tests
  • Developer BLocal agentsRepos · Tests
  • Developer CLocal agentsRepos · Tests
The shared control plane coordinates. It doesn’t need to host your source code.

Why shared coordination matters

Two missions. One dependency. Caught before it ships.

Both missions modify authentication. Tentrico sees the overlap and routes a decision to the person who owns it, before either change ships.

Developer AMIS-0182Enterprise SSO
AuthenticationShared dependency
Developer BMIS-0187Authentication policies
DEC-0041Decision required

Authentication policy dependency requires resolution.

Owner
Platform Lead
Impact
2 missions
Status
Decision required

Now scale the system.

More developers. More agents. More repositories. More environments. More risk.

The coordination model still doesn’t change.

  • Source control
  • CI/CD
  • Cloud
  • Security
  • Identity
  • Observability
  • QA
  • UAT
  • Production

03 / ENTERPRISE

AI-native engineering. On your terms.

Coordinate developers, AI agents, repositories, environments and evidence across the organization while preserving your infrastructure, identity, policies and security boundaries.

  • Organization-wide governancePolicy, roles, approvals and audit applied to the work itself.
  • Works with your infrastructureSource, credentials and execution can stay in your environment.
  • End-to-end traceabilityFrom requirement to production evidence.
  • Flexible deploymentA managed control plane or a self-hosted one — both planned options.

Tentrico control plane

  • Requirements
  • Missions
  • Decisions
  • Human Tasks
  • Evidence
  • Releases
  • Policy
  • RBAC
  • Audit
  • EngineeringDevelopersAI AgentsRepositoriesMissions
  • PlatformCI/CDCloudEnvironmentsReleases
  • SecurityPolicyFindingsApprovalsAudit
One governed Fabric across engineering, platform and security.

Choose where the control plane lives.

Tentrico-managed coordination. Either way, the execution layer stays yours.

  • Developer Macs
  • Windows
  • Linux
  • CI/CD
  • Enterprise runners
  • Git provider
  • Cloud infrastructure

Deployment models are planned options. Discuss availability, platform support and isolation requirements with Tentrico.

Your source code doesn’t need to live in our cloud.

Tentrico’s shared control plane coordinates requirements, missions, decisions, policies and evidence. Source code, development credentials and execution can remain inside customer-controlled environments.

Review the trust boundary

Tentrico control plane

  • Requirements
  • Missions
  • Decisions
  • Evidence metadata
  • Policies
  • Audit

Customer environment

  • Source code
  • Credentials
  • Agent execution
  • Developer workspaces
  • Cloud resources
Desktops and runners open outbound connections to the control plane; nothing requires inbound access to developer machines. Intended architecture — confirm supported configurations in a security review.

Governance that follows the work.

Policies, evidence and approvals are evaluated on the request itself. When a person’s authority is required, the release waits for it — agents don’t route around it.

Request

Deploy REL-2.14 to Production

  1. IdentityVerified
  2. EnvironmentProduction
  3. PolicyPOL-PROD-04
  4. EvidenceCurrent
  5. Security checksPassed
  6. ApprovalRequired

Human task

HT-0094Production release approval

Assigned
Release Manager
Release
REL-2.14
Policy
POL-PROD-04

Deployment waiting for approval

Illustrative governance flow · policy, approval and role capabilities are planned and vary by release.

Different people. Different authority.

Roles decide who can define requirements, approve releases or change policy. AI agents act within that authority; they don’t bypass it.

  • Organization Owner
  • Administrator
  • Engineering Lead
  • Developer
  • Product
  • Designer
  • QA
  • Release Manager
  • Viewer

Intended role model · planned, subject to change.

Deployable, not abstract.

Enterprise setup

  1. 01Deploy or activate the control plane
  2. 02Connect identity
  3. 03Connect source control
  4. 04Connect AI providers
  5. 05Connect CI/CD and cloud
  6. 06Define environments
  7. 07Define policies
  8. 08Enroll developer machines and runners
  9. 09Ready

Developer enrollment

  1. Download Tentrico
  2. Sign in
  3. Join organization
  4. Detect local agents
  5. Choose workspace / repository
  6. Ready

Planned setup flow · conceptual preview, not current product UI. Planned

The scale changes. The model doesn’t.

One developer or an entire organization, Tentrico keeps the same things connected: what must be true, who’s doing the work, where human judgment is required, and what proves the outcome.

  1. Solo

    One node · local Fabric

    Best for
    Individual developers and builders
    Coordination
    Local
    Execution
    Local
    Model
    Requirements · Missions · Human tasks · Evidence

  2. Team

    Several nodes · shared Fabric

    Best for
    Engineering teams
    Coordination
    Shared
    Execution
    Developer or customer controlled
    Model
    Shared requirements · missions · decisions · evidence

  3. Enterprise

    Many nodes · governed Fabric

    Best for
    Organizations requiring governance and scale
    Coordination
    Shared and governed
    Execution
    Customer controlled
    Model
    Organization-level policy, identity and audit (planned)
    Deployment
    Managed or supported self-hosted (planned)
  1. Solo
  2. Team
  3. Enterprise

START WHERE YOU ARE

Build alone. Coordinate a team. Govern an enterprise.

From intent to evidence.
At any scale.