Agentic orchestration across workflows, people and systems.

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HOW IT WORKS

AI execution is fragmented across tools, teams and providers.

Agents, models and systems now contribute to the same project, but context and decisions remain scattered across them.Agentnetes creates continuity across that lifecycle.

Every new request starts with the context of what came before.

how execution moves

One mission. Coordinated across agents and people.

The orchestrator plans and routes the work, runs compatible agents in parallel, and pauses only when a human decision is required.

Mission Launch a new customer onboarding flow Planning
Agentnetes Orchestrator
NowPlanning the mission
01Define
Product agent
Draft requirements
Upcoming
Research agent
Review the existing journey
Upcoming
Stage gate
Business HeadApprove directionUpcoming
02Design + Plan
Design agent
Create onboarding flow
FigmaUpcoming
Engineering agent
Assess feasibility
Upcoming
Product agent
Create product stories
LinearUpcoming
Stage gate
Engineering LeadApprove planUpcoming
03Build
Frontend agent
Build onboarding UI
Upcoming
Backend agent
Implement account setup
Upcoming
Stage gate
Release OwnerApprove releaseUpcoming
04Review + Delivery
QA agent
Validate changes
Upcoming
Delivery
Prepare release
GitHubUpcoming
governance

Govern execution without slowing it down.

Define where agents can act, where approval is required, what they can access, and the limits they operate within. Those controls apply throughout execution.

Company controls

Every agent action passes the same three checks before it runs.

Design agent
Read the latest designs
1Access
 
2Limits
 
3Approval
 
ResultPending
RecordEvery decision stays on the record, with who approved it and when.

Controls remain consistent even when the agent or model changes.

agents & models

Use the right intelligence for each task.

Choose a primary agent, an independent reviewer and the model best suited to the task, with a fallback when the preferred model cannot run.

Mission
Launch customer onboarding flow
Each task can use its own configuration
Task
Primary agentDoes the work
ModelSelected for the task
ReviewerChecks the result
Status
Task A

Prepare product requirements

Primary agent
Claude
Model
Drafting modelDrafting
Fallback Kimi
Reviewer
Codex
StatusQueued
Task B

Assess engineering feasibility

Primary agent
Codex
Model
Reasoning modelReasoning
Fallback DeepSeek
Reviewer
Claude
StatusQueued
Model rolesReasoningComplex analysis and decisionsDraftingWriting and generationTemplateStructured, repeatable tasks

The agent, reviewer and model can change. The mission does not.

context

Context that carries through the entire project.

Project context travels with the work, so execution builds on what came before, regardless of which agent or model is used.

Connected to this project
GitHubCode · architecture · previous changes
FigmaDesigns · flows
LinearRequirements · stories · decisions
DocumentsBriefs · specifications · policies
PeopleApprovals · guidance · previous decisions
Project
Customer onboarding
New requestAdd SSO to customer onboardingRelevant project context found
Project context
Existing onboarding flowAuthentication architectureApproved design systemPrevious product decisionsRelease requirementsBrand guidelinesAccount setup storiesQ3 release history
Working from the same context
Product agentReady
Engineering agentReady
Design agentReady
Business HeadReady
Each new task starts from the same project context.

New requests begin with the context of the project, not a blank conversation.

standard products

One foundation. Built for business and engineering.

Coordinate operational workflows across the business and software delivery across engineering, on the same context, orchestration and governance foundation.

Standard product

Agentnetes for Business

Coordinate workflows across finance, HR, legal, operations and administration.

Outcome
Open a new regional office
4 teams · in progress
Finance
Prepare budget and approvals
Complete
CFO
Budget approval
Approved
Legal
Review entity requirements
Complete
Legal
Entity approval
Waiting
HR
Plan hiring and onboarding
Running
Operations
Coordinate vendors and setup
Running
Operations
Office readiness sign-off
Upcoming
Standard product

Agentnetes for Engineering

Coordinate software delivery across product, design, engineering, review and release.

Outcome
Launch customer onboarding
5 stages · in progress
Product
Define requirements
Complete
Design
Update the onboarding flow Figma
Complete
Engineering
Frontend and backend agents working in parallel
Running
QA
Validate the implementation
Upcoming
Engineering Lead
Release approval
Upcoming
Delivery
Open release in GitHub GitHub
Upcoming
Agentnetes foundationShared by both products
  • Shared context
  • Orchestration
  • Governance
  • Agents & models

Different work. The same execution layer underneath.

bespoke

When the workflow is uniquely yours.

For operations that do not fit a standard product, we design and build a dedicated solution on the same Agentnetes foundation.

Company-specific operation

Complex claims review

How it works todayHow it runs on Agentnetes
Documents and evidenceContext
Manual handoffsWorkflow
Research and analysisAgents
Analyst review and sign-offHuman stage gates
Policy rulesGovernance
Existing claims systemConnected systems
Custom Agentnetes solution

Claims review

Research agent
Gather documents and evidence
Complete
Analysis agent
Assess the claim against policy
Complete
Human specialist
Review findings
Reviewed
Reviewer
Independent check
Running
Claims lead
Final approval
Upcoming
BusinessEngineeringBespoke
Agentnetes foundationSame foundation as the standard products
  • Shared context
  • Orchestration
  • Governance
  • Agents & models

Custom to the operation. Governed and operated on the same foundation.

agentnetes services

Services that get you from problem to production.

Senior engineers and governed agents, delivered together. Each engagement can stand up a first working solution on your own data, and lay the context, workflows and controls to run Agentnetes.

01 · Start here

AI readiness audit

Know where AI will pay off before you spend. A short, read-only assessment of your systems, data and workflows that maps what is ready to automate, what needs fixing first, and where the fastest return sits. You leave with a costed plan that feeds every engagement that follows.

Book an auditStep 01 Assess
  1. Systems mapWhere your data and workflows live today
  2. Opportunities and risksReady to automate, and what needs fixing first
  3. Costed planWhere the fastest return sits, and what it takes
02

AI-augmented software engineering

Ship more, safely, with agents and engineers working together against your own codebase and standards. Automation handles the volume, with human review where it matters.

BuildReviewMaintain
Step 02 Implement
03

Cloud engineering

Cloud that is built right and runs lean. Architecture and delivery across AWS, GCP and Azure, from landing zones and networking to security, scaling and cost control. Infrastructure your team can own.

AWSGCPAzure
Step 02 Implement
04

CI/CD and DevOps

From commit to production, automated and observable. Pipelines, infrastructure as code and a release process with automated testing, safe rollouts and rollback. Less firefighting, faster releases.

PipelinesIaCObservability
Step 02 Implement
05

ML and models

Models that earn their place in production. Choosing or fine-tuning the right model, frontier or self-hosted, through evaluation, deployment and monitoring, with token cost and drift kept under control.

SelectionFine-tuningEvaluation
Step 02 Implement
06

Process automation

Manual, repetitive work handled across finance, operations, support and engineering, by governed agents that follow your rules and stop for a person on anything sensitive.

FinanceOperationsSupport
Step 01 Assess
07

Custom AI consulting

A partner for the AI decisions that matter. Strategy, architecture and hands-on help to decide where to build, buy or wait, with governance designed in from the start.

StrategyArchitectureGovernance
Step 01 Assess

Each service can be delivered on its own, or as the first step onto the Agentnetes platform. See how an engagement works

HOW AN ENGAGEMENT WORKS

Start with the problem you need to solve.

We help organisations identify where agentic execution fits, prepare the surrounding systems, and establish the context, workflows and controls needed to operate Agentnetes.

Your organisation

Current systems, teams and ways of working.

01

Assess

Not sure where to begin?
Start with an AI readiness audit.

Identify the workflows, systems, risks and operating changes required before introducing agentic execution.

Process automationIdentify and redesign workflows suited to coordinated agent execution.
02

Implement

AI-augmented software engineeringApply agents across software delivery while strengthening the engineering systems around them.
Cloud engineeringPrepare the infrastructure needed for reliable agentic execution.
CI/CD and DevOpsBuild and improve the delivery pipelines that support reliable deployment and operations.
Custom AI & MLBuild specialised capabilities where the standard platform is not enough.
03

Establish context

Connect the sources and project state execution will build on.

Connected systemsProject context
04

Configure execution

Define how work will run and where control is required.

Defined workflowsGovernanceAgent and model configuration

Operate on Agentnetes

The context, workflows and controls established during the engagement carry into ongoing use.

BusinessEngineeringBespoke
Agentnetes foundationEstablished during implementation
  • Shared context
  • Orchestration
  • Governance
  • Agents & models

Not sure where to start?

Start with an AI readiness assessment.

Talk to us
deployment

Built to operate within your environment.

Use approved models, connect the systems your teams already use, and deploy Agentnetes according to your infrastructure and security requirements.

ControlsAccessApprovalsBudgetsExecution boundariesAudit history
Supported providers
  • Claude
  • Codex
  • DeepSeek
  • Kimi
  • Approved local modelsWhere configured
Agentnetes

The same execution model across different providers and deployment environments.

Your systems
  • GitHub
  • Jira
  • Linear
  • Figma
  • Other approved systemsThrough supported connections
Environment
Deployment options vary by implementation and are agreed with your team.
CloudManaged for you
Self-hostedWithin your infrastructure
Private environmentBased on deployment requirements

Your infrastructure can change. The controls around execution remain consistent.

faq

Common questions about Agentnetes.

Agentnetes is a platform for coordinating agentic execution across workflows, people and systems. It maintains shared context, execution state and controls while different agents, models and people participate.

No. Agentnetes for Engineering focuses on software delivery, while Agentnetes for Business supports workflows across functions such as finance, HR, legal and operations. Bespoke implementations can support more specialised processes.

No. Agentnetes is designed to coordinate execution across the systems your teams already use, rather than replace them.

Agentnetes currently supports Claude, Codex, DeepSeek and Kimi. Agents and models are configured separately, so each task can use the right combination for execution, review and fallback.

Yes. Existing projects can be onboarded so new requests can use relevant project context, previous decisions and connected systems instead of starting from a blank interaction.

Human stage gates can be introduced wherever the organisation requires a decision, while agents continue independently within the access, budget and execution boundaries defined for them.

Agentnetes surfaces the issue rather than hiding it. Depending on the situation, execution can retry within defined limits, switch to an approved fallback where configured, be reassigned or request human input.

Organisations can adopt a standard Agentnetes product, work with us on a bespoke implementation, or begin through Agentnetes Services, including an AI readiness assessment.

Contact

See where Agentnetes fits in your organisation.

Begin with the platform, a specific workflow or an AI readiness assessment. Tell us what you are working on and we will point you towards the right first step.

Start a conversation

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