Intelligent Analytics
The economics of analytics just collapsed. The dashboard factory — a room full of builders turning out reports — is obsolete. With AI inside Power BI and custom applications that go far beyond what any BI tool can draw, a single strong developer now delivers what used to take a team. I build analytics the new way.
The short version: The tools that used to gate analytics — headcount, BI licenses, coding skill — mostly fell away. What's left is knowing what to build and building it on a foundation you can trust.
Start with your problem
The old model was slow and expensive by design. Find the one that sounds like you — each goes straight to the right conversation.
The collapse
Not incrementally. A step-change — in who can build, how fast, and what's even possible.
For most of my career, analytics scaled with headcount. Want more dashboards, more data models, more reports? Hire more builders. That model is over. With AI wired directly into Power BI — Copilot generating full report pages, DAX, and semantic models from plain English, and MCP letting AI agents build and query your models — the work that filled a room now runs through one or two strong developers. I've watched teams of twenty become teams of two, delivering more, not less.
The second shift is bigger. You're no longer limited to what a visualization tool can draw. Maps, custom interactions, purpose-built workflows — the things that used to require expensive specialty software, or weren't possible at all — can now be built as full applications and web experiences, described in plain language rather than hand-coded. Analytics is escaping the dashboard and becoming software.
Here's the catch, and it's where most fail: these tools only compound on a trustworthy foundation. Point an AI agent at ungoverned data and it answers fluently and wrongly — Gartner expects 60% of analytics-agent projects that rely on AI alone, without a governed semantic layer, to fail. The economics collapsed for the people who have the foundation. Building that foundation, and riding the new economics on top of it, is exactly the pairing I bring. See the foundation work →
What changed
The tools, the team, the interface, and the ceiling on what's possible — all of it moved at once. Here's what actually changed.
The room full of people hand-building reports was a cost of the old tooling, not a law of nature. Copilot in Power BI now generates entire report pages, DAX formulas, and narrative summaries from plain-English prompts. The output that took a team clears through one or two strong developers — faster, and to a higher standard.
Microsoft's Power BI MCP servers (previewed in late 2025) let AI agents build, edit, and query your semantic models directly — creating measures, refactoring models, and answering questions in natural language. Combined with Copilot, Power BI shifts from something people click through to something an agent operates. The legacy Q&A tool retires at the end of 2026.
People never wanted dashboards — they wanted answers. AI delivers them in chat, in the apps people already use, and through agents that find the data, build the query, and explain the result. Gartner expects 40% of enterprise apps to embed task-specific AI agents by the end of 2026. The dashboard becomes one delivery format among many, not the default.
When a dashboard couldn't do it, you used to buy specialty visualization software — or give up. Now full applications, custom maps, and interactive web experiences can be built by describing them in plain language. Gartner projects 90% of new apps will use low-/no-code AI tooling by end of 2026. Analytics is no longer boxed in by what a BI tool can draw.
How I help
Bring me where you're stuck — rethinking how analytics gets delivered, building it the new way, or getting a small team to ship like a big one. Most engagements start with one and naturally expand.
Where AI collapses the work — and where it doesn't.
A clear read on your analytics operating model: what to automate with Copilot and MCP, what to rebuild as apps, what to keep as governed dashboards, and how small your delivery team can actually be. Right-sized, sequenced, and grounded in what these tools really do.
I own the outcome — hands-on where it counts, directing where it scales.
AI-native Power BI using Copilot and MCP — and, when you outgrow the dashboard, custom apps and web front-ends. I lead the build and own the result: hands-on where it counts, directing the right resources where it scales, all on a governed semantic layer so the answers hold up. A working system, not a proof of concept.
Productivity that outlives the engagement.
I coach one or two strong developers to run the modern toolchain — Copilot, MCP, AI-assisted app development — so they deliver what used to take twenty, safely and to a standard. The capability stays after I'm gone.
You get one senior expert, accountable end to end — not an agency, not a bench of juniors, and not a vendor you have to manage. When the work needs more hands, I bring in and coordinate the right resources. You keep one point of accountability: me.
In practice
Not theory — engagements where intelligent analytics is shipping the new way. Client names are kept confidential where required.
Introduced natural-language query for self-service analytics and applied decision-tree modeling to surface the real drivers behind sales performance — letting leaders ask questions in plain English instead of waiting on a report request.
Coached Power BI teams to lift quality and productivity with Copilot, and built a GPT solution to automate code conversion inside a validated environment — the same "small team, big output" model, proven where the compliance bar is highest.
Rebuilding a solution as a full custom application using Claude Code and modern tooling — delivering interactions and workflows a BI tool couldn't, at a fraction of the traditional cost and timeline, without cutting corners on quality.
Migrated and modernized 300+ analytics applications into a governed platform, applying AI to convert and remediate code — the clearest proof that AI now does at scale what once demanded a large, sustained delivery team.
Whether you're drowning in a reporting backlog, underusing the AI you already pay for, or ready to build beyond the dashboard — start with one conversation and I'll map the fastest path to intelligent analytics.
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