100K → 1M+
Controlled launch with a viral event and an enterprise growth scenario.
First delivery · credible thin loop
One workload. From possible futures to initial evidence.
A multi-tenant AI document assistant moves from controlled launch toward one million users while handling confidential data, resilience requirements, and an explicit cost envelope.
Reference question
Can we safely launch this service to one million users?
Customers upload confidential documents, ask questions, and receive cited answers. The service starts in the US, targets 99.9% or higher availability, stays inside an explicit cost envelope, and must be ready to scale.
Confidential data
Tenant isolation, evidence requirements, clear ownership, and explicit exclusions.
Availability + cost
99.9% or higher availability with a visible unit-economics envelope.
The first demonstrable loop
Twelve moves. Approval sits in the middle.
The delivery begins with Inscribe Simulator, carries selected architecture into a governed lower environment, and returns one meaningful contradiction for re-inscription.
Select S, M, or L
Begin with a guided operating construct instead of a blank canvas.
Refine the drivers
Set users, throughput, regions, classification, availability, recovery, and budget.
Expose assumptions
Show inputs, confidence, exclusions, and evidence status explicitly.
Compare three options
Test cost-led, balanced, and resilience-led architecture paths.
Watch outcomes change
Update topology, latency, SLO fit, risk, controls, and cost.
Approve the contract
Create the versioned Architecture Contract under accountable human authority.
Plan system memory
Create services, CIs, controls, Evidence Primer, and FinOps baseline.
Generate artifacts
Use a thin Craftr slice for engineering and deployment instrumentation.
Realize in sandbox
Deploy a governed lower-environment slice and record provenance.
Collect evidence
Use a limited, credible set of native configuration, control, and cost hooks.
Compare truth states
Show topology, controls, cost, resilience, and evidence sufficiency side by side.
Re-inscribe
Expose one meaningful contradiction and create the next governed change.
Honest boundaries
Precise enough to learn. Bounded enough to finish.
The first delivery proves connective tissue without implying a complete production platform or exhaustive integration estate.
In scope
- Guided S/M/L intake and driver confirmation
- Transparent simulation and three architecture options
- Architecture Contract, planned services, and CIs
- Evidence Primer and FinOps baseline
- Selected Craftr artifacts and sandbox realization
- Initial native evidence hooks and reconciliation
- One contradiction and re-inscription recommendation
Not claimed
- Unsupervised production deployment
- Production-grade accuracy without validation
- Exhaustive multi-cloud integration
- Automatic regulatory certification
- Perfect runtime discovery
- Production-ready Imprint Data
- Autonomous approval without accountable people
Challenge the loop
Bring a decision that matters.
Tell us where scale, controls, resilience, cost, delivery, and evidence intersect.
Discuss your workload →