Live aurora agent engine

Autonomous agents with a little magic.

Aurelle turns scattered prompts, tools, approvals, and retries into one glowing command layer for teams that want AI to actually finish the job.

Start the loop ↗ Watch demo

0 critical escaped actionsPolicy-gated toolsRun replay includedHuman approvals

Consumer-grade wonder. Enterprise-grade boundaries.

Aurora run console

Live run

✓Intent classified
customer-impact / high confidence0.18s

✓Tools scoped
CRM, email draft, billing lookup1.42s

✓Policy verified
approval required above refund limit2.04s

✓Loop closed
reply, update, trace, follow-up4.91s

                  run.result = verified_close({ owner: "ops", confidence: .94,
                  replay: true, cost: "$0.012" })
                

94%confidence

4.9smedian close

38%lower cost

[✓]Every action leaves a receipt buyers can actually read.

consumer-AI magic visual system / Aurelle agent operating layer

AurelleiridescentMagicVerifiedAlways-onFrostedVerified loopsRun replayHuman approvalsAurelleiridescentMagicVerifiedAlways-onFrostedVerified loopsRun replayHuman approvals

01 / Capability

Everything an agent needs to act. Nothing it shouldn’t touch.

These variants keep the same product skeleton but change the emotional category completely: magic, magazine, spatial glass, noir, soft organic, or grid velocity.

Governed tool-calling

Every action runs through typed permissions, budgets, and approved tools before it touches production.

Run replay

Watch any agent decision unfold step-by-step: prompt, tool, data, result, approval, and final outcome.

Human escalation

When confidence drops or policy blocks an action, Aurelle escalates with context instead of pretending.

Cost intelligence

Live spend, token burn, retry loops, and savings are visible in the same command view as the work.

Workflow memory

Agents remember the loop, not random chat history. Clean context in, traceable outcomes out.

Verification gates

Close the loop only after checks pass: policy, data, output quality, customer impact, and owner sign-off.

02 / The loop

From request to receipt.

Aurelle is built around operational closure. The agent is only done when the work is performed, checked, documented, and visible.

Triage

Classify the request, urgency, owner, and safe path.

Retrieve

Pull only the files, tickets, accounts, and policies needed.

Act

Use approved tools with scoped credentials and typed payloads.

Verify

Check the result before the agent claims victory.

Escalate

Send the right human the full context when judgment matters.

03 / Playbooks

Horizontal scroll, actual use cases.

Support Autopilot↗

Resolve repetitive tickets, draft edge-case replies, and escalate with full customer history.

Revenue Ops↗

Research accounts, qualify leads, update CRM, and trigger follow-ups without dirty data.

Finance Desk↗

Reconcile invoices, flag exceptions, and route approvals with audit-grade traces.

IT Requests↗

Provision access, explain blockers, and maintain a clean chain of custody.

Founder Ops↗

Turn intake, docs, emails, and customer notes into shipped operational loops.

04 / Pricing

Simple plans for real agent work.

Designed to feel premium without making the buyer do math before they understand the product.

LaunchAurelle

$49

For builders proving one high-value loop.

3 production workflows
10k agent actions / month
Run replay + cost view
Email support

Choose Launch

ScalePopular

$149

For teams replacing repetitive operations.

Unlimited workflows
75k agent actions / month
Approval gates + memory
Priority support

Choose Scale

EnterpriseAurelle

Custom

For governed autonomy across teams.

SAML + advanced policy
Private tools + VPC options
Dedicated eval suites
Security review support

Choose Enterprise

05 / Proof

Teams do not need louder AI. They need quieter operations.

“Aurelle did not just draft replies. It closed the loop, documented the decision, and showed us exactly why.”

Mira K.Head of Support

“The console is the first agent UI my team trusted. It feels like operations, not a toy chatbot.”

Jules R.RevOps Lead

“We replaced three messy automations with one governed workflow and finally stopped babysitting our AI stack.”

Samir V.Founder

Ship the category

Put agents on the payroll.

Use this as a visual direction, a production HTML starting point, or a prompt reference for generating more landing systems in the same category.

Launch Aurelle →