Most companies bolt AI onto existing processes. The ones that win rebuild around it.
Stratum Six helps organizations move beyond AI experimentation — building real capabilities and managing the organizational shift that makes it stick.
Most AI advisors have only studied transformation. Our team has spent 20 years doing it.
We come from digital strategy, product design, and engineering — the disciplines AI is now reshaping. We've built the products, designed the systems, and shipped the code. That practitioner depth is our edge: we orchestrate AI with the judgment of people who've done the work themselves, not theorists advising from the sideline.
We don't hand off strategy decks and walk away. We stay embedded through implementation — building real AI systems, redesigning how teams work, and managing the organizational shift that makes adoption stick. Small team, senior people, full accountability.
Where we create value for your business.
Six domains where practitioner-led AI creates durable competitive advantage — from market positioning to day-to-day operations.
Value Creation
We identify where AI disrupts your competitive landscape, where it opens new revenue, and how to position before your market shifts. Strategy grounded in what's technically feasible — not what looks good in a board deck.
Business StrategyOrganization Redesign
AI removes the coordination limits that hierarchy was designed around. We redesign operating models — roles, decision rights, workflows, team structures — based on what we've seen work across dozens of transformations, not theory.
Org DesignFinance & Investment
AI-powered modeling, forecasting, and due diligence. Portfolio analysis and deal intelligence for investors. Faster, more accurate finance operations for operators.
FinanceAI Capability Building
Design, build, and deployment of AI systems that become core infrastructure — automation, predictive models, LLM integrations, multi-agent workflows, and the data architecture that makes them reliable at scale.
BuildMarketing Automation
AI-powered demand generation, personalization engines, content systems, and campaign optimization — built by people who've run marketing operations, not just modeled them. Systems that understand your customers and act at scale.
MarketingOperations Automation
AI-driven systems replacing manual bottlenecks across finance ops, supply chain, customer service, compliance, and internal workflows. We target high-cost, high-frequency processes first — the ones that compound savings fastest.
OperationsWhere our practitioners have delivered.
Our advisors bring direct, hands-on experience from engagements at organizations across banking, healthcare, insurance, energy, private equity, consumer goods, and technology.
Common questions about AI advisory engagements.
What most organizations ask before starting an AI engagement.
What does an AI advisory firm actually do?
We bridge the gap between AI's potential and your business reality — assessing where you are, designing where you need to go, and building and implementing the systems to get you there. Unlike software vendors, we're not selling a product. We work across AI strategy, org design, and hands-on implementation, staying engaged until outcomes are real.
How is Stratum Six different from a large consultancy?
Large consultancies produce strategies and hand off decks. We produce outcomes and stay embedded. Our team is small, senior, and engaged through implementation — there's no bait-and-switch to junior staff. Every engagement is led by practitioners with direct, hands-on AI delivery experience.
What size companies do you work with?
We work primarily with mid-market and enterprise organizations — typically 200 to 10,000 employees — with the infrastructure to implement AI at scale and the leadership mandate to do it seriously. We're not the right fit for early-stage startups or companies still evaluating whether AI is relevant to their business.
Where do most companies start?
Most engagements begin with an AI Readiness Assessment — a structured audit of your data, tooling, workflows, and team capabilities that produces a prioritized roadmap. It's the fastest way to identify where AI creates real leverage versus where it's a distraction. Many clients move directly into AI implementation from there.
How long does an AI implementation engagement take?
Most engagements run 3–6 months from assessment through initial deployment. We work in tight iterations, so you're seeing working AI capability within weeks — not waiting months for a final deliverable. Change management and adoption work often continues beyond initial deployment.
Do we need a technical team in-house to work with you?
No. We work with organizations at all levels of technical maturity. Part of what we do is build your internal AI capability — upskilling your team and designing systems your people can own and operate. The goal is that you're not dependent on external partners indefinitely.
What industries do you work in?
Our practitioners have delivered AI engagements across banking, healthcare, insurance, energy, private equity, consumer goods, retail, and technology. The strategic and operational challenges of AI adoption are largely consistent across industries — the implementation details vary, and we bring both the pattern recognition and domain-specific experience to navigate both.
Let's talk about what AI can actually do for your operations.
We start every engagement with a conversation — no pitch decks, no pressure. Tell us what you're working on and we'll give you an honest perspective on where AI can (and can't) help.