We deploy Claude and AI workflows inside the functions that actually run your company — procedures and SOPs, finance operations, HR, sales, and the training programs we've always built. Working automations, measured results, and a team trained to own them.
We've been building AI into immersive training for years — the roleplay coaches, scenario engines, and scoring systems inside our sims. Enterprise AI consulting points that same engineering at the rest of your business.
VR and AR training for oil & gas, medical, manufacturing, and QSR — with AI coaches, adaptive scenarios, and automated scoring built in from day one. This is where we learned to make AI reliable enough for safety-critical environments.
Claude and AI workflows deployed into how your business already runs: procedures and SOPs, finance operations, HR, sales ops. Not a chatbot bolted on the side — automations your team owns and runs every day.
Four steps. Concrete deliverables at every one.
We sit with the people who actually do the work and map how it gets done today — the systems, the handoffs, the spreadsheets nobody admits to. You get a workflow inventory, an opportunity map ranked by ROI, and a security review before anything is built.
We pick the one workflow with the clearest payoff and automate it end-to-end — connected to your real tools and data, not a sandbox demo. You get a working automation in production and a measurement baseline, so results are proven rather than promised.
What the pilot proved gets hardened and extended to adjacent workflows and teams. You get production deployments, documentation and runbooks, and monitoring — so issues surface to us before they surface to you.
We train your people to run, adjust, and extend what we built — the goal is capability, not dependency. You get hands-on working sessions, a prompt and playbook library, and a clean handoff plan.
Real automations we scope, build, and hand over — by department.
If a workflow runs on documents, data, and repetition, it's probably automatable. The audit exists to find out.
Start with an auditStart small, prove it, then scale — every step priced upfront.
Leadership teams who want a clear, honest answer to "where would AI actually pay off here?" — before committing to a build.
Teams ready to automate one high-value workflow end-to-end and see measured results — usually the workflow the audit ranked first.
Companies past the pilot stage that want a standing AI team — building the next automation while keeping the last one sharp.
Every engagement is scoped in writing before it starts — no open-ended billing.
We don't sell anything we don't run. These are the AI workflows keeping our own studio moving — imperfect, useful, and improved every month.
Our monthly reporting starts as raw bank CSV exports and ends as categorized financials — mapped into our P&L by an AI workflow we built for ourselves. A human reviews every line before the books close: the AI does the assembly, we do the judgment.
Our sales pipeline runs on AI-assisted research and outreach — prospects researched and messages personalized at a scale a small team couldn't otherwise reach. A person approves every message before it sends; the AI widens the funnel, it doesn't speak for us.
The site you're reading — pages, blog posts, and the code behind them — comes out of an AI-assisted content and engineering pipeline we run in-house: drafting, page builds, and screenshot-driven QA, with human editing on everything that ships.
The AI Readiness Audit is a fixed $4,500 engagement that runs about two weeks. You get a workflow inventory across the departments we review, an opportunity map ranked by impact and effort, a security and data-handling review, and a prioritized roadmap with ROI estimates for each automation candidate.
Not to get started. During an audit or pilot we can run on our own accounts. For production rollouts we set you up with your own Claude or API accounts so you own the data relationship and the costs directly — we handle procurement, configuration, and access controls as part of the engagement.
A typical pilot sprint runs four to six weeks: one to scope and design, two to three to build and integrate, and the remainder to deploy, measure against the baseline, and train your team. You see working software well before the end, not a reveal on the last day.
Every engagement starts with a data-handling review: what each workflow touches, where that data is allowed to go, and what stays inside your systems. We build on commercial API agreements rather than consumer tools, scope access so the model only sees what a given workflow needs, and document the whole setup so your IT and compliance teams can audit it.
Our training practice serves oil and gas, medical, manufacturing, and quick service restaurants, so we are comfortable in regulated, safety-critical environments. The consulting work — finance, HR, procedures, sales operations — applies to almost any industry, and most engagements focus on those shared back-office functions.
Our AI build services deliver a defined product — a conversational assistant, an AI coach, or a custom agent — at a fixed scope and price. AI consulting is about your operations: we find the workflows worth automating, build the automations inside your tools and processes, and train your team to run them. Consulting engagements often surface build projects, and builds often lead to broader consulting.
No. We design every workflow around augmentation: the AI does the repetitive assembly work — gathering, drafting, reconciling, formatting — and your people keep the judgment calls, approvals, and relationships. Every automation we ship has a named human owner, and nothing goes out the door without one.
Before we automate anything, we baseline it: hours spent per cycle, turnaround time, error and rework rates. After deployment we report against that same baseline, so you can see exactly what changed. If a workflow cannot be measured, we tell you upfront — and usually recommend starting somewhere it can.
The AI Readiness Audit is a fixed-fee, two-week look at your operations — the fastest way to learn whether this is worth doing, and where. Tell us about your workflows and we'll respond within 24 hours.