Supervised design-partner engagement

Your AI agency does not need another agent.It needs a runtime that can finish the work.

Aria turns one signed client engagement into a supervised cognitive workcell: scoped against real acceptance criteria, connected to approved tools, and operated behind your agency's brand. You keep the client and final approval.

Founding integrations from $20,000. One client lane. Thirty-day target.

Evidence-bound claims

Explicit authority limits

Agency-owned relationship

Production-intent workflow

The delivery ceiling

The expensive part is not selling AI. It is carrying the work after the sale.

Every bespoke deployment creates a new operating system in miniature. Senior people become the routing layer, the exception handler, and the final quality check. That makes revenue depend on scarce attention.

01

Founder bottleneck

The person who closes the account becomes the only person trusted to rescue it.

02

Invisible rework

Agent failures become late nights, hand-edited outputs, and margin no proposal priced.

03

Fragile handoff

Prompts and hooks capture fragments of intent, but not an enduring delivery boundary.

The runtime, not another seat

One governed delivery lane, built around a real engagement.

The launch is an implementation service, not a software trial. We bind Aria to one workflow, the systems it may touch, the decisions it may make, and the evidence your team needs to accept the work.

01

Scope the real work

Choose one signed client engagement and define an observable technical acceptance boundary.

02

Bind the lane

Connect approved tools, data sources, authority limits, and the agency's delivery standards.

03

Operate supervised

Run the workcell with human approval at consequential boundaries and direct technical readback.

04

Accept on evidence

Compare delivered behavior with the agreed predicates before the final launch payment.

Authority boundary

Your agency keeps the client, the contract, and final approval.

Aria is introduced as the supervised fulfillment layer behind delivery. External actions, credentials, regulated decisions, and production cutovers stay inside the boundary agreed with your team and client.

Founding Agency Runtime Launch

Install delivery capacity against one workflow that already matters.

A focused 30-day target for established AI agencies with a live engagement, an accountable technical owner, and a workflow worth governing.

From$20,00070% at kickoff / 30% at technical acceptance
Bring us the workflow

Launch scope

  • One production-intent client workflow mapped end to end
  • A supervised runtime lane with explicit allow and deny boundaries
  • Up to three integrations in the founding launch scope
  • Technical acceptance predicates agreed before implementation
  • Operating handoff and a redacted proof package

Exact integrations, authority limits, acceptance criteria, and timing are fixed in a signed statement of work before implementation begins.

Qualification before persuasion

This is for agencies with delivery pressure, not AI curiosity.

Strong fit

  • You already sell or deliver meaningful AI implementation work
  • Senior people are rescuing integrations, agent runs, or final outputs
  • You can bring one real client workflow and an accountable technical owner
  • You want leverage without surrendering the client relationship

Not a fit yet

  • You need a passive reseller license or a generic chatbot bundle
  • There is no signed engagement or concrete workflow to anchor the launch
  • You expect unsupervised consequential action on day one
  • You want guaranteed revenue, output quality, or compliance claims

Proof before promises

See what is live, what is observed, and what is not yet activated.

We publish the claim boundary alongside the evidence. Current Spark readback supports deterministic research and durable project coordination. It does not support a claim that the hardened deterministic execution kernel is production-live.

Read the evidence ledger

One real workflow

Bring the engagement your senior team keeps rescuing.

We will decide whether it belongs in a supervised runtime launch before either side commits to an implementation.

Apply for a Runtime Launch