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AI & Data Consulting: Let your data speak to you.

Power BI, Microsoft Fabric and custom AI agents, built by 50+ data gurus who’ve done this for 600+ organizations since 2013.

Bring us your hardest question See what we built

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P3 Faucet · report librarynothing published yet

Reports land here when someone asks for one

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From Rob

We did it for data. Now AI.

Rob Collie, founder and CEO

We have been untangling other people’s data since 2013. A warehouse nobody trusts. Forty spreadsheets holding month-end together. A Power BI environment that grew sideways for six years. We have seen your version of it, and we can still turn it into data you actually trust. That part of the job has not changed.

What changed is what happens after. Nobody has figured out how to use AI to unlock your company’s data yet. We have – and this past year has been the biggest step forward I have seen since my early days on the team that built Power BI.

So bring us the hard one. If it is a normal data problem, we will solve it like we always have. If it is the other kind, you are going to enjoy this.

Answers from Rob

More from Rob

What we do

Four ways in. The same senior team.

Fifty of us, senior, hands-on and allergic to deck theater. We have been making companies’ data usable since 2013 – 600+ organizations, from the Fortune 500 to mid-size companies.

Services

Power BI

Semantic models and reports that hold up under pressure. We have been shaping this platform since day one.

Power BI services

Services

Microsoft Fabric

Foundations that grow with the business – built when they earn it, not eighteen months ahead of it.

Fabric services

Services

AI Agents

Custom agents that do real work, plus getting your data ready so the answers hold up. Built for one real job, proven before it scales.

AI Agent services

Platform

Faucet

Your Power BI models, answering in the AI tools your team already uses. Keep the best answers as published dashboards, right beside your Power BI reports.

See Faucet

Strategy is not a fifth box. It is how every one of these starts – which is why the only button we really care about says bring us your hardest question.

Bring us your hardest question

Our founding philosophy

Faucets first. Something real in weeks.

You should be putting real questions to your own data within weeks, on what you already own, long before a platform program would finish picking tools.

Everyone else – plumbing first

Two years of pipes, then a roadmap deck.

Platform selection. Readiness assessment. A governance council with a charter. The faucet shows up last, in the wrong room, plumbed to water nobody asked for.

And by the time anybody can put a real question to it, the question has changed.

P3 Adaptive – faucets first

Something working this month, on what you already own.

Real people use it on real questions. What they reach for tells us exactly which pipes to build – and which ones you were about to pay for and never needed. Infrastructure gets built with precision, only when it earns it.

Our partnership model

We flex to your exact need and reality.

The people you’d actually work with

Embedded partners

Senior practitioners who own the work and the results. The same people who help you decide what to do are the ones who build it. 100% onshore, and no account manager translating you to a team you never meet.

Two-week accelerator

We spend two weeks turning your data into something you actually use, and you own all of it. If it doesn't leave you thrilled, we don't send an invoice.

Focused project

One clear outcome, owned end to end by the people who planned it. The budget and the timeline are fixed and committed up front, not an estimate that drifts.

Faucet

You’ve got the plumbing. You just need a faucet.

Act on your data in ways you have never imagined – on the models you already own.

Faucet connects the models you already own to the AI client your team already has open, at full strength. Somebody asks in plain language and gets an answer built straight from your governed data.

Then the answers worth keeping become real reports. Interactive pages with a permanent link and full version history. Each one inherits the permissions your models already enforce, so a forwarded link grants nothing on its own.

We built it because it is how we wanted to work, and we run our own company on it.

See what Faucet does Read the security story

A Faucet report tracing how revenue became profit: a Sankey diagram splitting $139.3M of revenue across cafés, wholesale and direct-to-consumer, through cost of goods and overhead, down to net income, with the net income band hovered to show its share of revenue — $139.3M of revenue became $9.1M of net income – hover any band to see why

A Faucet what-if report asking what happens if Northlight opens more cafés: sliders for how many cafés, their format, state, months between openings, build-out cost and borrowing rate down the left, and on the right the investment, payback period and revenue added, a cumulative cash curve crossing into profit at month 32, a mature café's monthly economics and a ramp curve — Move a lever and the answer recomputes – 5 new cafés, $1.88M, paid back in 2.6 years

A Faucet report on US county-to-county migration: a county map coloured green where more people arrived than left and red where more left, with flow lines curving into south Florida, a Florida panel on the left showing residents, arrivals, departures and income moved, and a Miami-Dade panel on the right — Every county that gained people, and the income that moved with them

The Faucet report library in tile view: published reports shown as live thumbnails, each with its source model, audience, owner and version — One library – every published report, with its model, audience and version

A Faucet report breaking wholesale down by customer type: a stacked column of invoiced amount by year beside a table of six customer types with accounts, amount billed, dollars per pound, days to pay and share paid late — Six wholesale customer types, ranked – who pays fastest and who pays late

A Faucet report headed Northlight: Cash Flow, with a period control set to Q1 2024 to Q1 2026 and a tab strip, above a full income statement carrying actual, percent of revenue, budget and variance columns and a by-month sparkline on every line — Set the period and the statement follows – actual, budget, variance, by month

A Faucet report on payroll: cost by year as a stacked column, a department doughnut, and a table of every role with headcount, full-time equivalents, cost and cost per hour — Payroll by department and by role – 625 people, 273 full-time equivalents

$139.3M of revenue became $9.1M of net income – hover any band to see whyOpen it live

Fair Game by Rob Collie

From our founder

AI doesn’t have to feel like a mystery.

Rob wrote Fair Game when AI dread started keeping him up at night and the existing books weren’t helping. The reframe he landed on: custom AI is more of a data-and-software problem than a mystery. And you already know more about both than you think. Conversational. A little irreverent. No ivory tower. Available now.

See what’s in it

Case studies

Proof that speaks for itself.

Coleman Oil – a tanker delivering fuel

Fuel distribution

Coleman Oil

30% faster billing · 50% fewer billing errors · 90% fewer tank runouts

“P3 Adaptive didn’t just build reports – they gave us the tools and confidence to own our data, make faster decisions, and drive real change across the company.”
Kristal Searle, CFOColeman Oil

See all the case studies

Bring us your hardest question.

Your white whale: you know there has to be a better way, and if you could crack it, your world would change. We thrive on those.