−73%
Support response time
A governed AI agent triaged 41% of inbound tickets without escalation and pre-summarized the rest, across a multi-region support org.
Capabilities
Three practices, six capabilities. One discipline: ship and measure.
We work where AI, growth, and data meet — at the scale, security posture, and governance medium-to-large organizations actually require. Every engagement is instrumented before a dollar moves and accountable to a number on your board deck.
Six capabilities
Pick the lever. We bring the team.
Each capability ships as a dedicated, partner-led pod — or as one integrated unit when the mandate spans more than one. Explore where you need to move.
Enterprise AI Systems
Production agents, RAG over your private corpus, and LLM applications wired into your stack — model-agnostic, built with evals and guardrails.
- Agent design & evaluation
- RAG over governed data
- Human-in-the-loop & guardrails
AI Platform & MLOps
The layer that makes AI safe to run at scale: deployment pipelines, model versioning, cost controls, observability, and audit trails your security team signs off on.
- Deployment & versioning
- Cost, latency & quality monitoring
- Audit logging & access control
Performance Marketing
Paid acquisition, SEO, and content engines run as one revenue system — instrumented before spend, tuned to pipeline and LTV, not impressions.
- Paid search & social
- SEO & content engines
- Multi-brand / multi-region
Lifecycle & CRM Automation
Lifecycle, CRM, and marketing automation that closes the loop between spend and closed revenue — wired into HubSpot or Salesforce with consent-aware tracking.
- Lifecycle & nurture automation
- Closed-loop attribution
- Server-side, consent-aware tracking
Data Warehouse & Engineering
From raw events to decisions you can defend. Warehouse architecture, ELT, and modeling that compress reporting cycles and give every number an auditable source.
- Warehouse & ELT
- Semantic layer & governed metrics
- Executive dashboards
Analytics & Applied ML
Attribution, experimentation, and bespoke predictive models — segmentation, churn, propensity, forecasting — that answer the questions your board actually asks.
- Attribution & experimentation
- Predictive & segmentation models
- Forecasting & scenario modeling
Selected outcomes
What “good” looks like at scale.
Anonymized snapshots from recent engagements. Numbers are real but framed as illustrative — we'll model yours on the first call.
11→3d
Monthly close, before → after
A consolidated warehouse and a CFO-facing dashboard with sourced numbers compressed monthly close from eleven days to three.
3.1×
Qualified pipeline in one quarter
A rebuilt content engine plus paid-channel reallocation tripled qualified pipeline in 90 days, with CAC down 22%.
// Anonymized engagement data. See more on the Work page.
Start here
Not sure which capability you need?
Tell us the number you need to move in the next two quarters. We'll come back with a sharp opinion, a written path, and an honest read on whether AI is even the right lever — within 2 business days.
Request a strategy call// or write to hello@compunamics.com