Scale
Production Controls & Assurance
Run production AI/GenAI with confidence. Embed evaluation gates, audit-ready evidence, and cost/latency guardrails so scale is safe, predictable, and defensible.
The Challenge
Production failures are rarely model failures. They’re control failures: no repeatable evaluation, unclear safety boundaries, fragile operational patterns, and ungoverned cost/latency variance.
In regulated environments, missing evidence turns into approval friction, audit exposure, and delayed releases.
Our Approach
We implement pragmatic production controls, delivered as a lightweight control plane: evaluation ladders and release gates, enforced safety boundaries, evidence-by-design, and cost/latency guardrails integrated into delivery.
The goal is faster, more predictable approvals and safer releases — without blocking teams.
Security, Evaluation & Assurance
Scale collapses when you can't prove it's safe. Production controls provide the security boundaries, evaluation gates, and continuous assurance you need to operate without fear.
We embed these directly into delivery. This replaces 'hope' with 'proof' and turns compliance from a blocker into a competitive advantage.
AI Transformation Journey
This phase is for teams in Scale mode who need controls that remain enforceable as systems evolve.
Scale
Current FocusEmbed quality gates, evidence-by-design, and day-2 guardrails.
Key Outcomes
Operational confidence through measurable gates and audit-ready evidence.
Measured Quality & Safety
Evaluation criteria, thresholds, and release gates that are repeatable and observable.
Audit-Ready Evidence
Evidence packages suitable for internal audit, risk committees, and external scrutiny.
Governed Cost & Latency
Budgets and regression thresholds that prevent unit-economics surprises.
Core Deliverables
Evaluation & Release Gates
- Offline/online evaluation strategy and golden sets
- Acceptance criteria and go/no-go thresholds
- Release gates aligned to delivery workflows
Safety Boundary Controls
- Policy and approval controls integrated into work (not a parallel process)
- Human-in-the-loop escalation patterns where required
- Adversarial testing/red-teaming proportionate to risk
Evidence-by-Design Pack
- Audit-ready artifacts: traceability, change history, and approvals
- Templates for risk assessment and evidence capture
- Control effectiveness checks and periodic review cadence
Operational Guardrails
- Budgets, monitoring, alerting, and regression thresholds
- Operational runbooks and fallback expectations
- Release readiness criteria and incident learning loop
Execution remains with your teams or vendors. AtelaMind provides standards, guardrails, and continuous technical oversight as design authority — validating implementations against measurable gates and evidence requirements.
FAQs
Underlying Expertise
Production Controls draw on these capabilities. Implementation can be delivered by internal teams, preferred vendors, or AtelaMind.