AI gross-margin specialist for B2B AI SaaS.

In two weeks, you see where your AI gross margin goes.

The AI Margin Sprint — a 14-day diagnostic with cost map and prioritized remediations.

The AI Margin Sprint

A 14-day, fixed-scope diagnostic that identifies where your AI cost is going and what to fix first.

Cost map — deliverable pattern LLM INFERENCE EMBEDDING STORAGE / RETRIEVAL INFRA / ORCHESTRATION OTHER ~48 % ~22 % ~16 % ~11 % ~3 % REMEDIATIONS 1. Prompt caching 2. Context trimming 3. Model tier routing 4. Embedding batching 5. Index pruning Pattern only — proportions are illustrative. Your map is derived from your data.

What you receive at day 14:

Duration
14 calendar days from kickoff to delivery.
Price
$5,000 fixed.
$2,500 founding rate for the first 5 engagements.
Payment
50% on kickoff, 50% on day-14 delivery.

WHO THIS IS FOR

B2B AI SaaS companies with:
  • Combined LLM + cloud spend of $20,000/month or higher
  • A production AI feature (not in development or lab)
  • Founder, CTO, or AI platform owner reachable directly
  • Either: own Kubernetes + GPU infrastructure
    Or: API-only on AI providers at $50,000+/month
  • LLM observability with customer / workflow tagging
    (or willing to do Observability Readiness Setup first)
Not for:
  • Spend below $20,000/month
  • Pre-revenue or pre-production AI
  • Procurement-led with formal RFP requirements
  • Internal FinOps team or dedicated AI cost engineer running active monthly reviews
  • Wanting a free audit; no budget signal
  • Wanting implementation in the same engagement (that's the Implementation Retainer, a separate offer)

NEXT STEP

The fastest way to start the conversation is to send a short structured description of your AI infrastructure and what is pulling you toward this work. We respond within 2 business days.

Send your details →

Opens a short form (5 fields, ~3 minutes).

What to expect:

  1. We confirm fit against the qualification above.
  2. If qualified, we schedule a 30-minute call to walk through the Sprint scope, your data-access setup, and the kickoff date.
  3. If not qualified, we say so honestly and point you to the relevant adjacent capability — or to a different specialist outside our scope.