Control Plane & Assurance
Run production AI/GenAI with confidence. Embed measurable quality gates, audit-ready evidence, and cost/latency guardrails. Maximize ROI by preventing costly incidents and audit friction.
The Challenge
Scaling AI/GenAI into production typically fails on Day-2 realities: no repeatable evaluation, inconsistent safety boundaries, fragile operational patterns, and uncontrolled cost/latency variance. In regulated settings, missing evidence turns into approval friction and audit risk.
Our Approach
We implement a pragmatic control plane: measurable quality/safety gates, evidence-by-design, and cost/latency guardrails integrated into delivery. The goal is faster, more predictable approvals with higher confidence — without blocking teams.
The AI Journey
This engagement is designed for the operate phase — embedding controls for production confidence.
Operate
Current PhaseEmbed 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 observable and repeatable. No more shipping without confidence.
Audit-Ready Evidence
Evidence-by-design artifacts suitable for internal audit and compliance reviews. Approvals become predictable, not painful.
Cost & Latency Guardrails
Budgets and regression thresholds to prevent surprise unit economics in production. Day-2 operability without firefighting.
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 Controls Embedded in Delivery
- 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
- Audit-ready artifacts: traceability, change history, and approvals
- Templates for risk assessment and evidence capture
- Control effectiveness checks and periodic review cadence
Cost/Latency + Day-2 Guardrails
- Budgets, monitoring, alerting, and regression thresholds
- Operational runbooks and fallback expectations
- Release readiness criteria and incident learning loop
This model embeds controls and assurance without blocking delivery. Execution remains with your teams/vendors; AtelaMind provides standards, guardrails, and continuous technical oversight.
FAQs
Underlying Expertise
Control Plane draws on these capabilities. Implementation can be delivered by internal teams, preferred vendors, or AtelaMind.