Company strategy
The space where the executive writes and maintains the strategy.It is not an agent.It is the baseline every agent follows.
AI Native Company Pack
A company operations service powered by dedicated AI agents
The executive's strategy becomes the organization's execution
One strategy document aligns the whole company
The executive writes the company's vision, role, and product direction into the strategy document, and every department agent works from it starting with its next task.When the strategy changes, there is no need to reconfigure each agent.
Agents carry out the work autonomously
Department agents carry out their work on a set schedule and report the results.The executive can focus on judgment and decisions instead of repeating instructions.
People make the final decisions
Agents propose, with evidence.Approving, revising, or rejecting is decided by a person, and every decision is recorded and traceable.
Work experience becomes the organization's knowledge asset
The decisions, measurements, and retrospectives that come out of the work accumulate as knowledge assets.Later work starts from that knowledge, so the organization's capability grows as it operates.
Dedicated agents for each line of work
Dedicated agents are set up around the work each department does.The following are representative examples.
The screens show the service app AXONN Vantis actually uses, presented as mockups.
Product planning agent
Analyzes market trends every day, maps demand and supply, and proposes business opportunities with the evidence behind them.It tracks hypotheses against leading indicators.
R&D agent
Runs the harness that applies the company's development governance to coding agents.It turns an approved business opportunity into a development brief and hands it to coding agents, and it manages standards, architecture decisions, measurements, and retrospectives as knowledge assets.Coding agents do the building, reading the company's standards and knowledge over MCP and applying them as they work.
Marketing agent
Maintains the company's public messaging, prepares content from material the other departments supply, and publishes it once approved.AI also handles customer management, automated email campaigns, and responses to inquiries.
Other departments
Departments that differ from company to company, such as finance, are designed together during adoption consulting.
HARNESS — Coding-Agent Speed with Your Company's Development Governance
Leave a development task entirely to a coding agent's own judgment, and the output arrives fast.But that output is likely to fall short of the development governance your company already has.The coding agent works from general knowledge, without knowing the standards the company has set, the architecture it has already reviewed, or the data from past experiments worth referring to.
That is why applying a harness to coding agents matters.A harness is the framework that has coding agents read the company's development governance and work within it.It keeps the coding agent's speed and makes the output follow the company's baseline.In AI Native Company Pack, the R&D agent runs this harness.
Three development assets the harness delivers
The harness provides coding agents with three development assets the company already holds.
Standards the company manages centrally
There is a standard for each area of development.AXONN Vantis governs five areas: web UI/UX, agent and model calls, API and server, security and secrets management, and delivery and operations.Every rule is marked required or recommended and carries its rationale.Standards are versioned, and a new version takes effect only after the executive approves it.
Architecture that has already been reviewed
Structures we have built and run are kept as reference architectures.Each comes with decision records: what was chosen, why, and how it held up in operation.
Measurements with their conditions
Data from past experiments worth referring to, such as cost, processing time, and accuracy, is kept together with the conditions it was measured under.Coding agents start a design from that data, not from estimates.
Governance applied across the whole development process
From the request to the completion report, development governance is applied at each stage of a coding agent's work.
Request
The development brief specifies the standards and versions to follow and provides the related prior knowledge: architecture, measurements, and retrospectives.
Kickoff
The repository's instructions have the coding agent read the latest version of the applicable standards first.
Design and implementation
The coding agent queries standards, reference architectures, measurements, and the design checklists drawn from retrospectives over MCP, with read-only access.
Pre-deployment verification
Rules that can be verified automatically are enforced by automated checks.If a check fails, deployment is blocked.
Completion report
The coding agent reports the standards and versions it complied with, and any recommended rule it did not apply, with the rationale.Exceptions to required rules require the executive's approval.
What the harness delivers
- The output reflects your development governance.
Coding agents start by reading the standards, the reviewed architecture, and the measurements.Whether they followed them is confirmed by automated checks and the work report, and kept on record.
- Whichever coding agent you use, the baseline is the same.
Development governance does not live in any one coding agent's settings.It lives in one place the company manages, so whichever coding agent takes the job reads the same standards.
- A standard is revised once.
Publish a new version, and every coding agent follows it from its next task.
- The baseline sharpens with every build.
New measurements and retrospectives from the build go back into the knowledge assets and become the baseline for the next one.
Development governance differs from company to company.During adoption consulting we learn your standards, your technology base, and the way you build, and decide together what goes into the harness.
ARCHITECTURE — People Decide, Agents Execute
AI Native Company Pack separates the domain of people, who set direction and make decisions, from the domain of agents, who work in that direction.The two are connected by the strategy document and the approval process.
Executive — Direction & Decisions
Writing the strategyApprove, revise, rejectReviewing reports
Company Strategy — Single Source
The strategy document every agent follows
Department Agents — Execution Domain
Product PlanningR&D
MarketingOther departments
Shared Foundation
Authenticated accessStep-by-step job executionPer-department dataStandards & knowledge assetsMCP
Cloudflare Global Network
Where the service app runs
External coding agents
- Executive → Company Strategy: Writes the strategy
- Company Strategy → Department Agents: Baseline for the work
- Department Agents → Executive: Reports & approval requests
- Executive → Department Agents: Approve, revise, reject
- Product Planning → R&D: Approved business opportunity
- Product Planning, R&D → Marketing: Content material
- R&D → External coding agents: Development brief (standards to follow, prior knowledge)
- External coding agents → Standards & knowledge assets: Read over MCP
- External coding agents → R&D: Response to the brief (standards and versions followed)
A service app on Cloudflare
It runs on Cloudflare's global network.There are no servers to build or operate.
Separation by department
Agents and data are divided by department.Each department has its own tools, scheduled jobs, and permissions.
Approval-based collaboration between agents
One department's output, once approved by a person, becomes the next department's work.For example, when the executive approves technical validation of a business opportunity found by the product planning agent, the R&D agent is notified automatically and writes the development brief.
Jobs that do not break
Scheduled and long-running jobs execute step by step.If a step fails, the job resumes from that step.Steps are idempotent, so running the same step again neither changes the result nor duplicates it.
Authenticated access control
Only people who sign in with a company account get in.External coding agents get read-only access to knowledge.
A harness that applies development governance
Coding agents do the building, and the harness applies the company's development governance to them.The company manages standards and knowledge assets centrally, and coding agents read and follow them before they work.Rules that can be verified automatically are checked before deployment.
How adoption works
Adoption consulting (about two weeks, paid)
We learn your company's work and goals and work out the details of the solution build.
Report
We report the consulting results, the tailored solution proposal, and the schedule.
Supply agreement
If you decide to adopt, we sign a formal supply agreement.
Tailored build
We build the solution tailored to your company on the proposed schedule.
Frequently asked questions
- What is AI Native Company Pack?
- It is a service that runs a company's operations with dedicated AI agents.The executive sets the strategy, dedicated agents carry out the work accordingly, and people make the final decisions.AXONN Vantis runs its own company this way, keeps proving it in daily use, and offers it as a template package.
- Do I need to build infrastructure for it?
- No.AI Native Company Pack is not an infrastructure solution.It is a service app that runs on Cloudflare, so there are no servers to build or operate.
- Do the agents make decisions on their own?
- No.Agents analyze and propose, with evidence.Approving, revising, or rejecting is done by a person, and each decision is kept on record.
- Which departments can have an agent?
- Product planning, R&D, and marketing agents are representative examples.Departments that differ from company to company, such as finance, are designed together during adoption consulting.
- Why do coding agents need a harness?
- Because when a development task is left entirely to a coding agent's own judgment, the output arrives fast but is likely to fall short of the development governance the company already has.A harness is the framework that has coding agents read the company's standards, the architecture it has reviewed, and the measurements it has taken, and work within them.In AI Native Company Pack, the R&D agent runs the harness.Coding agents read the standards and knowledge over MCP before they work, and automated checks verify the rules before deployment.
- Does it work with only one particular coding agent?
- No.Standards and knowledge do not live in any one coding agent's settings.They live in one place the company manages.Any coding agent that can read knowledge over MCP reads the same standards and works from them.
- How do we get started?
- It starts with paid adoption consulting that takes about two weeks.The consulting works out the details of the solution build and ends with a report.If you decide to adopt, we sign a formal supply agreement and build the solution tailored to your company on the proposed schedule.