Most companies bolt AI onto existing processes. The ones that win rebuild around it.
We don't write strategy decks. We build the AI systems, redesign the teams around them, and stay until they're running in production.
We've led enterprise-wide implementations of the products, systems, and code AI is now rebuilding from the inside.
We come from digital strategy, product design, and engineering — the disciplines AI is now reshaping. We've built the products, designed the systems, shipped the code. We bring the judgment of people who've done the work themselves — and we apply it across every stage of the engagement, from board-level strategy to the agent code in production.
Where other firms stop, we stay — building the systems, redesigning how teams work, and owning the org shift through go-live and beyond. Small team, senior people, full accountability.
What we build, end to end.
Six technical capabilities — strategy, systems, and the org changes that make them stick. Deployed together or in sequence, owned by your team after we leave.
AI Strategy & Value Creation
We map where AI changes your competitive economics — what gets cheaper, what becomes possible, where new revenue opens up — and translate that into a positioning strategy your team can execute against. Output: a roadmap with prioritized bets, expected economics, and clear go/no-go criteria.
StrategyOrganization Redesign
AI removes the coordination overhead hierarchy was designed to manage. We redesign operating models — roles, decision rights, workflows, team structures — to run with the leaner, faster patterns AI now makes possible. Output: a target operating model and the change-management plan to get there.
Org DesignAgentic Development
We build autonomous agents that execute multi-step workflows end to end — pulling from systems, making decisions, taking actions, escalating to humans only where judgment is required. The hard part is reliability: error handling, decision traces, and orchestration that keeps each step at 99%+ so failures don't compound across long workflows.
BuildLLM Knowledge Systems
We turn scattered institutional knowledge — docs, wikis, contracts, transcripts, code — into a queryable layer your team and your AI systems can both reach. Includes RAG pipelines, semantic indexes, and the structured context graphs that make answers traceable and accurate instead of plausible-sounding guesses.
KnowledgeAI-Native Applications
Custom AI-first products and internal tools where AI is the core of the experience, not a feature bolted on. We build the full stack — backend, model orchestration, evals, and frontend — and ship working software in weeks, refined against real users and real business metrics.
AppsAI Readiness & Adoption
The best AI system fails without the org changes to support it. We assess your data, tooling, and team capabilities, build executive alignment, upskill the people who'll own the work, and run the change management that makes new workflows actually stick. Output: a baseline, an adoption plan, and a trained team.
AdoptWhere we apply it.
Three functional areas where these capabilities ship first — the leadership roles where AI's economics show up clearest.
Marketing
Demand generation, personalization, content production, campaign optimization. We deploy marketing-specific agents and the analytics layer that ties spend to outcome — so the team stops guessing about attribution and starts making decisions on real economics.
MarketingFinance
Modeling, forecasting, due diligence, deal intelligence, automated close. We build the analytical and operational systems that turn finance from scorekeeper into strategic advisor — and free senior people from the manual grind that defines most close cycles.
FinanceOperations
Customer service, supply chain, compliance reviews, internal request handling, back-office automation. We target the highest-cost workflows first — the ones where AI compounds savings every cycle and pays for the engagement many times over.
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.