FinOps X 2026 · Lightning Talk · Continuation

Correlating AI spend with business outcomes is one piece of a larger problem.

The same proxy in the data path that gives you cost per successful outcome also enforces policy at the edge — model allow-lists, PII redaction, prompt safety — and produces the tamper-evident audit log your examiners will actually accept.

The 10-minute talk you just heard was about one signal. The architecture underneath does three jobs.

Cassio Melo

A note from the founder

I’m Cassio. After more than a decade building infrastructure at Microsoft and Google — most recently as a tech lead on Google Cloud’s capacity safety team — I started Meilynx to build the AI governance layer I wished my own teams had. If that’s a problem you’re sitting with, I’d like to hear about it.

cassio@meilynx.com— direct, not a CSM inbox

The architecture behind the cost story

One proxy. Three jobs.

Meilynx is a transparent proxy between your applications and every LLM provider — OpenAI, Anthropic, Azure, Google. One env-var change routes traffic through it; no SDK swap, no app rewrite. From that single position in the data path it enforces policy pre-request and post-response, writes a hash-chained audit log your examiners will accept, and attributes spend to teams, features, and outcomes. Raw prompts and responses never leave your perimeter. The proxy is going Apache 2.0 at SOC 2 GA — design partners get source access today under mutual NDA.

Meilynx Proxy · Inside your perimeter

Request

From your application

Policy

Model allow/deny · schema

PII / MNPI

Real-time detection

Cost

Per-request · budgets

Tools

Agent allow/deny

Provider

OpenAI · Anthropic · Azure · Google

Audit substrate

ClickHouse · WORM archive · Cryptographic hash chain

Capturing every call · 7-year retention

<50ms p99 added latency. Shadow mode supported for safe rollout.

Run with this today

Cost & outcome correlation, attributable to the team that owns it.

You came for the cost story. The proxy ships the FinOps slice today: outcome ingestion, hierarchical budgets, pre-request cost gates, and model-mix recommendations from observed traffic. This is the surface you can deploy this week and demo next.

01 / COST

Cost & outcome correlation.

Spend per successful outcome — by feature, customer segment, and model. Hierarchical budgets with pre-request gates that block expensive calls before they happen. This is the FinOps slice of the talk.

  • Outcome ingestion API
  • Hierarchical budgets · org → project → workflow → customer → model
  • Pre-request cost limits
  • Model-mix recommendations from observed traffic
What to bring back to your CISO

The other two jobs your security and compliance teams will ask for.

The same proxy in the data path that gives you cost-per-outcome also enforces policy pre-request and post-response, and produces a tamper-evident audit log examiners will accept. When governance lands on a security review, this is the architectural answer.

02 / POLICY

Policy enforcement at the edge.

Pre-request and post-response rules in the data path. Block, redact, mask, or log. Shadow mode on every rule for production safety.

  • 11 PII / PHI patterns with check-digit validation
  • MNPI detection, model allow / denylist, schema validation
  • Agent containment · tool allowlist · destructive-command
  • Pluggable: Llama Guard 3, custom HMAC webhooks
03 / AUDIT

Tamper-evident audit your examiners will accept.

SHA-256 hash chain across every audit record — sequence-numbered and cryptographically linked. Pluggable WORM backend in the customer's environment. Direct mapping to named regulatory controls.

  • Hash-chained audit log with chain verification
  • SQLite local · Pluggable WORM (GCS today · S3 next)
  • Per-workflow retention · 7-year FINRA alongside 7-day dev
  • Compliance posture across SR 11-7, NYDFS 23 NYCRR 500, FINRA 24-09, SOC 2
Presets todaySR 11-7NYDFS 23 NYCRR 500FINRA 24-09SOC 2 Type II
Configurable todayHIPAA Tech SafeguardsEU AI ActISO 42001NIST AI RMF

Full taxonomy with industry mappings lives at meilynx.com/#regulations.

Deployment posture

Per-customer isolated infrastructure in every mode.

The proxy and audit substrate run in infrastructure dedicated to your organization — managed by us, run by you, or in a Bring-Your-Storage configuration where the audit lands in your store. In every case the trust boundary holds: only telemetry metadata — token counts, rule outcomes, latencies — reaches our control plane. Raw payload never does.

Trust boundary
Design Partner Program · Cohort I

FinOps leaders make great messengers — and we'd like to talk to your team.

FinOps leaders see the cost story before the security review starts — and you're often the one who brings the architecture conversation to your CISO. If your team is sitting with the question, the design partner program is how we make those conversations productive. Direct roadmap influence, named engineering support, source access under mutual NDA today, and 6 months of free use — in exchange for honest feedback and a willingness to be referenced when we both have something worth talking about.

Limited to 5 partnersOpen through Q3 2026Rolling start

What you get

Real product, real leverage.

  1. 016 months free across the full Meilynx platform — policy enforcement, audit trail, cost attribution, and outcome correlation. No usage caps.
  2. 02Direct roadmap influence. Your top three feature requests get sequenced into our planning. You see the backlog. You vote on priorities.
  3. 03Named engineering contact. Slack channel with the founder. Same-day response. SLAs in writing.
  4. 04Locked pricing. 50% off list for year one of paid; pricing locked for 24 months total.
  5. 05White-glove deployment. We deploy alongside your team, write the runbooks, and train your operators.

What we ask

A real working relationship.

  1. 01Biweekly 30-minute calls with us during the engagement. Founder-to-buyer, not handed off to a CSM.
  2. 02Honest written feedback on what works, what doesn't, and what's missing. Brutal is welcome.
  3. 03Logo & case study rights after 90 days of production use — subject to your legal & comms approval.
  4. 04Reference call willingness. 2–3 reference calls with future prospects per year, if asked.
  5. 05One real production workload routed through Meilynx within 60–90 days — we know FinOps-sourced conversations need internal coordination time. No shelfware partnerships.

Strong fit

You're a strong fit if you can answer yes to most of these.

  • You operate in financial services, healthcare, or sell into either
  • You have an executive sponsor (CISO, CCO, or Head of AI)
  • You have at least one LLM workload in or near production
  • You can commit a technical lead for the deployment phase
  • Your governance program is being asked questions it can't yet answer
  • You're willing to give honest, written feedback on a real product
  • AI spend visibility across your teams is incomplete — you can't say which features are driving cost growth
  • AI cost is growing faster than your outcome attribution can keep up
  • Multiple business units run LLM workloads with different cost, governance, and risk profiles

We’d rather go deep with five than shallow with twenty.

Apply to Cohort I

Send a short note about your environment and the governance question keeping your team up.

No form. No qualification gate. Founder-to-buyer conversation. We respond within 48 hours.

For the FinOps-only visitor

If you’re here for the FinOps story specifically and governance isn’t your problem to solve — the cost correlation capability is available standalone. Reach out at hello@meilynx.com — no design partner commitment required.

MLX-LP-FINOPSX-2026 · v1.2San Diego · June 9, 2026 · 2:45 PM