How we work

A process built to hand off clean.

Four phases, clear engagement models, and no disappearing for three weeks to reappear with a draft. Here’s exactly what working with us looks like.

The process

Four phases to results

PHASE 01

Discovery

We map your data sources, reporting pain, and decision cycles. You get an honest read on scope before anything is signed.

PHASE 02

Solution design

Architecture, data model, and dashboard design — reviewed with you before build starts. No surprises at delivery.

PHASE 03

Implementation

AI-accelerated build cycles ship working dashboards in days, not weeks — every artifact tested against your source data.

PHASE 04

Optimization & handoff

Documentation, training, and governance so your team owns the system. We measure success by your self-sufficiency.

Engagement models

Three ways to engage

Fixed project

Defined scope, fixed price, clear deliverables and dates. Best for dashboard builds, migrations, and reporting systems with a known finish line.

Ongoing consulting

A monthly engagement for organizations that need continuous analytics delivery — new reports, pipeline upkeep, and a senior consultant on call.

Advisory support

Architecture reviews, tool selection, and governance guidance for teams doing the build themselves but wanting senior eyes on the plan.

What to expect

Our working commitments

Responses within one business day

Every inquiry, every project question. You will never chase us for a status update.

👤

Senior people do the work

The consultants in your kickoff meeting are the ones writing the DAX and SQL. No hand-offs to a junior bench.

🛡

Your data stays in your environment

We work inside your Microsoft 365 and data infrastructure. No client data leaves your security boundary — including for AI-assisted work.

📄

Everything documented

Semantic models, pipelines, and workflows are documented and trained on — the system survives staff turnover, including ours.

Let’s talk about your project.

Fifteen minutes, no pressure. We’ll outline what we’d improve and how — and tell you honestly if we’re not the right fit.

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