What is applied AI? A practitioner's definition.
The line between "AI" and "applied AI" is the difference between a demo and a workflow that someone is responsible for. Here is how we draw it.
We don't hand you a strategy and leave — we stay in the work. Every engagement is led by senior practitioners, scoped to an outcome you can name, and delivered in production-ready form.
AI opportunity assessment, RAG and knowledge assistants, agentic workflows, and the build work to ship them in production.
See how we workFrom a market thesis to a working MVP. We define what to build, then build it — with you in the room, not on the sidelines.
See how we workFractional product / AI leadership embedded in your team. We run the work, mentor your people, and leave a stronger org behind.
See how we workQuote-to-cash, renewals, proposal generation, compliance evidence — measured workflow throughput, not slides.
See how we workFedRAMP-aligned cloud architecture, data pipelines, and integration with Salesforce, SAP, ServiceNow, and GCP-native services.
See how we workWhen you need senior product, AI, or engineering capacity for a defined arc — without the headcount overhead — we step in.
See how we workTwo AI products in production and a decade of enterprise transformation work — the proof that the strategy and the build come from the same room.
Six ways to start. Each one is a real engagement we have run — with a fixed window, a named outcome, and a single point of accountability.
A structured read of where AI moves the needle in your business — and where it does not. You leave with a ranked opportunity map and an honest scope.
A single high-impact workflow — quote-to-cash, renewals, proposal ops — modernized with AI, in production, with human checkpoints.
From thesis to a working MVP. Product definition, architecture, the first build, and a path to the next 90 days.
A grounded knowledge assistant on your real corpus — with citations, guardrails, and a defined human review path. Not a demo.
Embedded senior leadership for the months when you need it. We run the work, mentor the team, and hand back a stronger org.
For enterprise transformation arcs that need senior product, AI, and delivery capacity for a defined window — without the headcount overhead.
I've spent my career inside enterprise transformation work — $8B+ global eCommerce programs, regulated quote-to-cash workflows, renewals systems that touch every customer. The teams that win are the teams where strategy and build are the same conversation.
Innovution is a boutique on purpose. Every engagement is led directly by me — and delivered with a senior bench of practitioners and technical partners who have already shipped this kind of work. No pyramids. No handoffs to people you haven't met.
If you're trying to move from an AI deck to an AI workflow that earns its keep — let's talk.
The line between "AI" and "applied AI" is the difference between a demo and a workflow that someone is responsible for. Here is how we draw it.
Retrieval-augmented generation in plain language: what it is, what it isn't, and the three failure modes we see most often in enterprise builds.
Why "human review" is not a checkbox — and how to design review points that catch the work that matters without strangling throughput.