MLOps Convergence

Unified Delivery Pipeline

Your microservices deploy through CI/CD with RBAC, gates, and cost tags. Your ML models deploy through... Slack messages and kubectl apply. Two pipelines. One governance blind spot.

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The Problem

What It's Costing You

Every week your app pipeline and model pipeline stay separate, governance drifts, costs leak, and the gap between data science and platform gets harder to close.

  • 20–30% slower time-to-market for new models (manual handoffs)
  • Compliance risk: models bypass change control and audit logging
  • Financial risk: inference costs unchecked, monthly bill shock
  • Organizational friction: data science and platform teams in silos
The Solution

Three Ways In. One Pipeline.

Start with a maturity check that reveals where your model pipeline diverges from your app pipeline. Scale into a Build that unifies them. Keep a partner who evolves the governance layer as you ship.

Assess · Diagnose

ML Delivery Maturity Check

One-week audit. Map the governance gap between apps and models.

$5–10K
1 week
  • Model Deployment Pipeline Audit
  • RBAC and Versioning Assessment
  • Governance Maturity Analysis
  • Workflow Mapping (DS ↔ Platform)
  • Inference Cost Audit
  • ML Ops Tooling Review
  • Unified Pipeline Blueprint
Risk Reversal: If your model deployment time doesn't improve by 50%, we'll refund the assessment.
Start the Assessment →
Build · Fix

Unified Pipeline

One CI/CD for apps and models. Same gates. Same governance.

$20–35K
3–4 weeks
  • Single CI/CD for apps + models
  • Model registry with versioning
  • Automated testing & eval harness
  • Deployment gates & RBAC
  • Inference cost controls
  • Rollback automation
Expected Outcome 50%+ faster model deployment. 20–30% inference cost reduction. Full audit trail on every promotion.
Scope the Build →
Operate · Evolve

MLOps Integration Operations

Keep apps and models converging as both sides grow.

$10–18K/mo
Ongoing
  • Ongoing governance evolution
  • Model monitoring & drift alerts
  • Inference cost optimization
  • Cross-team coordination rituals
  • Model registry curation
  • Quarterly platform reviews
Best For Teams shipping multiple models per quarter where MLOps is outpacing the platform team.
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How It Works

The 5-Day Assessment Process

Structured week that crosses the DevOps/DS boundary — both sides of the pipeline get audited, and you leave with a unified blueprint.

Day 1
Kickoff & Access

Read-only access to CI/CD, model registry (or lack thereof), cloud cost data.

Day 2
App Pipeline Audit

Review existing CI/CD maturity — gates, RBAC, rollback, cost tagging.

Day 3
Model Pipeline Audit

Shadow a real model deployment. Map every manual handoff.

Day 4
Cost & Governance

Inference cost breakdown. Compliance gap map. Unified blueprint drafted.

Day 5
Delivery

Readout, blueprint, 90-day unification roadmap, Build proposal if fit.

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Explore Preventive FinOps →

Ready to Unify Apps and Models?

Book a 15-minute discovery call. We'll ask about your model deployment flow, your governance gaps, and your inference spend — and tell you honestly whether unification is 3 weeks away or 3 months.

Book a Discovery Call →