Production workflows
Image, video, audio and language models connected to approved assets, repeatable states and inspectable outputs.
- Deterministic inputs
- Asset lineage
- Human review
Production AI / Systems engineering
AI systems for work
that cannot fail quietly.
We turn multimodal models and agents into controlled operating systems—with provenance, observability and explicit human judgment at the points where failure carries cost.
Senior-led delivery · No black-box handoff · Reply within 2 working days
01 — System scope
Four layers,
one accountable system.
The model is only one component. Production value depends on the data route, operator interface, control gates and evidence left behind.
Knowledge and workflow agents
Agents grounded in approved context, connected to real tools and bounded by explicit permissions.
- Source-aware context
- Tool constraints
- Approval boundaries
Production integration
APIs, identity, queues, data pipelines and operator interfaces placed inside the existing environment.
- Identity and access
- Observability
- Failure isolation
Evaluation and guardrails
Task-level tests, provenance, exception visibility and approval gates designed before scale.
- Task metrics
- Regression checks
- Audit trail
Runbooks and ownership
Clear escalation, rollback, monitoring and maintenance responsibilities so the system survives daily use.
- Runbooks
- Rollback path
- Named owners
Evidence-led expansion
Expand only after the first vertical slice proves useful, measurable and supportable in the real workflow.
- Bounded pilot
- Measured adoption
- Controlled expansion
02 — Evidence standard
Claims follow
measured operation.
Current Anna Lab work exposes system scale and production gates. Commercial or efficiency outcomes are published only when they have been measured and approved for release.
Current evidenceSystem scale
465-shot planning, 185 storyboard frames, SHA lineage and approved-asset binding are inspectable production facts.
Measured once liveOperational result
Cycle time, exception rate, manual review time, adoption and cost are captured against a defined baseline.
Never inferredClient outcome
No revenue, ROI or productivity claim is presented without permission and a defensible measurement method.
Start with one constrained workflow
Find the smallest system worth operating.
Bring the current workflow, failure cost and desired result. We will identify a bounded vertical slice and say directly what is not worth building.