Buying licenses isn't adoption. We roll out Claude Code, Codex and AI workflows across your teams — with the guardrails, governance and hands-on training that make it actually stick.
If licenses are paid for but nothing has actually changed, this is for you.
You bought the licenses, but adoption stalled and the tools mostly sit idle.
People are curious about AI but don't know where it actually fits into their day-to-day work.
Staff experiment ad hoc, with no shared standards, security or oversight behind it.
We handle the strategy, tooling, guardrails, training and measurement that turn AI from a novelty into daily practice.
We map your workflows, tools and skill gaps to find the highest-value places to start.
The right stack per team — Claude Code, Codex, Cursor and department tools, configured properly.
Data policies, approved tools and enterprise settings that keep adoption safe.
Live, role-specific sessions and prompt libraries — not a generic webinar.
Baselines, usage tracking and ROI reporting so you know it's landing.
We train internal champions so momentum outlasts the engagement.
Our own engineers ship with Claude Code and Codex. This isn't theory from a slide deck.
Our own engineers ship daily with Claude Code and Codex — we teach what we actually do.
Engineering, marketing, ops and leadership each get a tailored path — not one generic course.
Governance and data policy go in before the rollout, so IT and legal stay comfortable.
We baseline and report adoption and time-saved, so the investment is defensible.
Prompt libraries, playbooks and champions keep usage alive after we leave.
Training uses your actual tasks and documents, so people apply it the same day.
We assess where you are, your tools and your goals — no cost, no obligation.
A phased plan per team, with quick wins, guardrails and success metrics.
We set up tooling, put policies in place, and run hands-on, role-specific training.
We track adoption, report ROI, and train champions so it lasts.
Leadership's real worry isn't whether AI helps — it's data leakage, shadow tooling and inconsistent output. We put the policies and controls in place first.
Book an AI Readiness Call →A vetted list per team — no risky shadow AI.
Clear rules on what can and can't go into a prompt.
Controls that keep sensitive data protected.
Your data kept out of model training.
See who's using what, and where the ROI is.
Prompts and review steps for consistent quality.
Licenses are step one. Most go unused because people don't know how to fold them into real work. We handle the training, prompts, workflows and follow-through that turn access into adoption.
That's exactly what we set up first — approved tools, data policies, PII handling, and enterprise settings that keep your data out of training and inside your walls.
Claude and Claude Code, OpenAI / Codex, Cursor, Copilot, and department-specific AI tools. We recommend the right stack for each team rather than forcing one tool on everyone.
We baseline before rollout and track usage and time-saved after, so you get board-ready reporting on adoption and ROI — not vibes.
A focused team can see wins in the first few weeks. A full multi-department rollout with governance is typically phased over a quarter. We scope it on the readiness call.
Anytime I give them a task, they get it done. The KPI reports are fantastic, and if there's ever an issue they address it.
Book an AI readiness call — we'll assess where you are, spot the quick wins, and map a rollout your team will actually adopt.