Transparent Systems service architecture

Buy a defined outcome, not disconnected technical hours.

These verified public ranges describe the current Chatoner AI Systems service scopes. Enterprise AI uses them where applicable. AI Co-founder Build it for me is scoped through discovery and a written proposal; Build it myself uses current AI Labs pricing at the independent product.

No equity or revenue guaranteeThird-party costs shown separatelyDisplay currency: USD
Product and pathway boundary

AI Co-founder Build it for me: normal Systems discovery, proposal, agreement, pilot, payment, delivery, and support terms apply. No universal founder package, equity exchange, or investment is implied. Build it myself: review current plans directly on the independent AI Labs product. AI Academy pricing and enrollment remain separate.

One-time services

Diagnose, prove, and build at the right level.

The service ladder lets the business earn confidence before expanding into a larger implementation.

AI Operations Audit

$750–$1,500
one-time · 5–7 business days

A structured diagnosis and implementation blueprint before any complex build.

  • Workflow and tool review
  • Top bottlenecks
  • Opportunity scorecard
  • Time and value estimate
  • Risk and approval map
  • Recommended implementation roadmap
Book an audit conversation

Core AI Operations Build

$5,000–$15,000+
one-time · 2–6 weeks

A connected operating system with multiple workflows, integrations, workers, dashboards, and approval controls.

  • Two to five core workflows
  • Digital worker configuration
  • Data and integration architecture
  • Approval or review dashboard
  • Monitoring and incident handling
  • SOPs, training, and launch support
Request a core-build estimate
All prices are based on indicative USD ranges before tax and are currently displayed in USD. Non-USD figures use a browser-side display conversion, not a live foreign-exchange quote. The written proposal should define scope, assumptions, exclusions, third-party costs, payment schedule, acceptance criteria, maintenance, and change control.
Scope-defined support options

Protect reliability, improve performance, and expand responsibly.

A monthly arrangement is used only when the written scope assigns Chatoner post-launch monitoring, maintenance, optimization, or improvement responsibilities.

Monitor

$1,000/mo

A small live system that needs operational reliability.

  • Health monitoring
  • Incident triage
  • Break/fix within scope
  • Monthly performance report
  • Quarterly access review
Discuss Monitor

Optimize

$2,000/mo

Active business workflows that need ongoing refinement.

  • Everything in Monitor
  • Prompt and workflow refinement
  • Usage and cost review
  • Monthly strategy session
  • Two small improvements per month
Discuss Optimize

Scale

$3,500–$5,000+/mo

Higher-volume operations and an expanding digital workforce.

  • Everything in Optimize
  • Priority response
  • New workflow expansion capacity
  • Advanced reporting
  • Quarterly AI operations roadmap
Discuss Scale
Which plan is right for me?

Match the investment to your current uncertainty.

The right plan is determined by what still needs to be learned—not by how impressive the technology sounds.

Value-based anchor

Compare the investment with the process—not only with software cost.

A $6,000 implementation that reliably recovers 40 staff hours per month may create a clearer business case than a cheap automation that fails silently, creates inaccurate records, or has no operational owner.

01
Recovered capacity

Hours redirected from copy-paste, follow-up, summaries, and routine reporting.

02
Revenue opportunity

Missed enquiries, delayed responses, cold quotes, and incomplete follow-through.

03
Operational control

Fewer errors, better visibility, faster escalation, and clearer responsibility.

Commercial boundaries

What Chatoner will not hide in a proposal.

  • Third-party subscriptions and metered usage
  • Client responsibilities and required access
  • Data or process cleanup required before launch
  • Human review responsibilities
  • What the AI can and cannot do
  • Scope-change process
  • Monitoring and support response expectations
  • No guarantee of revenue, savings, or perfect output
Pricing FAQ

Questions buyers should ask before implementation.

The ranges make the buying model transparent while allowing for meaningful differences in integrations, data quality, process complexity, volume, security, approval design, and testing. A written scope should define the exact price before work begins.
Price the right problem

Bring the workflow, current tools, approximate volume, and desired outcome.

Chatoner will help identify the smallest responsible scope and the information needed for a credible written estimate.