Services

What we build for you

Two practice areas. Transparent pricing on data work. Custom scope on AI automation — every engagement starts with a discovery call.

Pillar 1

Looker & BigQuery — our core

This is what we do best. Proven results with enterprise data teams. Every engagement is scoped to your stack — no surprises.

The average Looker and BigQuery team burns $118K–$299K per year in engineering time spent on maintenance, unoptimized queries, and cloud waste — without a single alert to flag it. Our LookML Health Check identifies exactly where your team is losing time and money. It starts with a free read-only diagnostic — if we don't find opportunities worth acting on, we tell you, and you owe nothing. From there, every engagement is scoped to your stack.

LookML Health Check
Full audit of your LookML codebase. P0/P1/P2 issues, anti-patterns, unused fields, fan-out risks. Delivered with a prioritized remediation plan.
BigQuery FinOps Audit
Find where your BigQuery bill is leaking. Identify top-10 expensive queries, slot usage, PDT inefficiencies, and partitioning gaps. ROI typically 10× in 60 days.
Custom Looker Visualizations
JavaScript-powered custom viz for things Looker can't do natively. Sankey diagrams, geospatial heatmaps, waterfall charts, network graphs, and more. In production at enterprise companies.
Fractional Expert
Ongoing Looker and BigQuery support — weekly sprints, architecture reviews, PR reviews, and on-call escalations. No hiring, no onboarding. Start in a week.
Full Implementation
End-to-end Looker architecture, migrations (Power BI, Tableau → Looker), semantic layer design, BigQuery optimization, and team enablement. Scoped to your environment.

Every engagement is scoped, not off-the-shelf. Start with a free 15-minute diagnostic; from there you get a fixed-scope proposal built around your stack and goals — you pay for the work your data actually needs. No inventory, no quote.

Pillar 2

AI Automation Services

We build AI agent systems that eliminate manual work. Every engagement starts with a discovery call — we analyze your context, build a custom SOW, and deliver.

Three people answering the same WhatsApp questions eight hours a day costs $4,500/month at minimum — and the volume grows every quarter. Hiring another person doesn't solve the problem; it delays it. We analyze your operations, identify the manual workflows that are compressing your margins, and deploy AI agents that handle them without adding headcount. Every engagement starts with a free 30-minute discovery call. If we don't see clear ROI for your context, we tell you in the call.

No fixed pricing on AI Automation. Every company's context is different — workflows, data, tech stack, volume. We scope and price after a free discovery call, and you only commit to a SOW once we both agree it makes sense.

AI Customer Support Deflection

Resolve 60–80% of Tier-1 tickets automatically

An AI agent trained on your documentation and past tickets handles routine support — without human intervention. Escalates what actually needs a person.

Stack: AI reasoning engine · n8n · Zendesk / Intercom / Freshdesk
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Internal Knowledge Agent

Company knowledge available to every employee, 24/7

A chatbot that knows your entire company — Notion, Google Drive, Confluence, Slack. Employees ask questions and get accurate answers instantly. No more "go ask X."

Stack: AI reasoning engine · vector store · Slack / MS Teams
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Sales Ops AI Copilot

Automates enrichment, scoring, and follow-up

Automates lead enrichment, intent scoring, and personalized follow-up sequences. Replaces the repetitive work of a junior SDR so your senior reps focus on closing.

Stack: n8n · AI reasoning engine · HubSpot / Salesforce · Apollo
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AI Report & Insights Generator

Weekly executive digests with zero human effort

Pulls data from BigQuery and Looker, detects anomalies, generates narrative summaries with recommendations, and delivers them to Slack or email every week. Automatically.

Stack: BigQuery · Looker API · AI reasoning engine · Slack / Email
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Document Processing Pipeline

Invoices, contracts, POs → structured data automatically

Ingests unstructured documents (PDFs, scans, emails), extracts structured data, validates it, and pushes it directly to your ERP, accounting system, or database. No manual entry.

Stack: Google Document AI · AI reasoning engine · Cloud Functions
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Multi-Agent Workflow Automation

Custom AI agent teams for your specific operations

When none of the above fits exactly — we design, build, and deploy a custom team of AI agents for your specific operational workflow: research, content ops, QA, monitoring, and more.

Stack: AI reasoning engine · n8n · Cloud Run · custom framework
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How it works

From first call to delivery

01

Discovery call

30 minutes. We look at your stack, your pain, your team. No pitch — just a diagnosis of where you're losing time and money.

02

Context analysis

We map your environment — integrations, data volume, current tooling, constraints. This is where we size the work accurately.

03

Custom SOW

Scope, timeline, price. Nothing vague. If we both like it, we start within the week.

04

Delivery with AI agents

Our agents handle the first pass. Our experts deliver. Fast, documented, and fully yours — no lock-in.

Ready to start?

Get a free, structured audit of your Looker and BigQuery stack — read-only access, findings in 5–7 business days. From there we scope the work to your data.