Your Team Is Your
Biggest Competitive Edge.

We run live, hands-on sessions inside your actual codebase — not generic examples. Week 1–2: assessment of your team's current AI habits and custom prompt playbook built on your stack. Week 3–5: squad-level workshops where engineers refactor real features, write tests, and scaffold new modules using Copilot + Claude — with a trainer pair-reviewing every session. Week 6–8: agentic workflows embedded into your CI/CD and PR review process, with measurable velocity benchmarks tracked before and after.

Starts with mapping your existing workflows — which repetitive engineering tasks eat the most time. We then design custom agents targeting those exact bottlenecks: code review agents that flag issues before human review, test generation agents that run on every commit, and documentation agents that keep your wiki current. Engineers build and deploy these agents in live sessions, then iterate based on real production feedback. No boilerplate agent demos — every agent ships into your actual pipeline.

A structured 6-week program that replaces the typical "shadow a senior" onboarding with an AI-accelerated track. Week 1: codebase orientation using AI — juniors learn to read and navigate your repo with Claude and Copilot before writing a line. Week 2–4: daily exercises in your actual stack — writing components, fixing bugs, writing tests — all with AI pair-programming and a trainer reviewing work each day. Week 5–6: first real feature ownership, with AI tools embedded and a senior as approver (not guide). Ends with a benchmark: first independent PR shipped.

Delivered in parallel role-specific tracks — engineers, product managers, and ops leads train simultaneously but on different material. Engineers continue deepening AI engineering practices. PMs learn AI-assisted spec writing, PRD generation, and user story structuring — so specs that used to take a day take an hour. Ops teams build no-code automations on their existing workflows. All three tracks share a final joint session where they align on an AI-first handoff process, removing the coordination friction that kills velocity.

A company-wide AI transformation program designed to move teams from scattered experimentation to structured, high-impact adoption. We begin by understanding how your teams currently work — where time is lost, which workflows are repetitive, and where AI can create the biggest operational lift. From there, we design role-specific training for your business teams, build practical AI workflows into everyday processes, and help teams adopt tools with clarity, confidence, and governance. By the end of the program, your teams are not just using AI tools — they’re applying AI across research, communication, reporting, planning, and execution in a way that is measurable, repeatable, and aligned with business outcomes.

We start by mapping the repetitive, manual tasks eating up time across Sales, Ops, HR, and Analytics — the reports, follow-ups, data entry, and status updates nobody enjoys doing. Week 1: workflow audit with each department to identify the 3–4 highest-friction tasks. Week 2–4: no-code agents built and deployed for each team — a lead follow-up agent for Sales, a report-compiling agent for Ops, a screening agent for HR — using tools your team already has. Week 5–6: teams run their agents live, iterate based on real output, and get a simple dashboard to track time saved. Ends with every department owning at least one working agent in their daily workflow.

Built around the actual sales cycle — prospecting, outreach, follow-up, and proposals — not generic AI theory. Week 1: AI-assisted prospect research and personalized outreach drafting at scale. Week 2: objection-handling scripts, follow-up sequencing, and call-summary automation using your CRM data. Week 3: proposal and pitch-deck generation cut from hours to minutes, plus a live cohort showcase where each rep demos one AI workflow now built into their pipeline. Leadership gets a report on time saved per rep and adoption across the team.

Built around the real marketing workflow — campaign planning, content creation, audience research, and performance iteration — not surface-level AI demos. Week 1: AI-assisted campaign ideation, customer persona development, messaging angles, and content briefs tailored to your brand and offers. Week 2: faster execution across ad copy, landing page drafts, email sequences, social content, and repurposing workflows using GenAI tools. Week 3: campaign analysis, creative testing support, reporting summaries, and a live showcase where each marketer presents one AI workflow now embedded into their day-to-day execution. Leadership gets a report on content velocity, time saved, and adoption across the marketing team.

Focused on the repetitive, process-heavy work that quietly consumes an ops team's week. Week 1: audit of recurring tasks — status updates, vendor follow-ups, SOP documentation, scheduling — to find the highest-leverage automation targets. Week 2: no-code workflow automations built around your existing tools, plus AI-assisted SOP and process-doc generation. Week 3: reporting and dashboard automation so weekly/monthly reports assemble themselves, with a final session on maintaining and troubleshooting the automations independently.

Built around your actual reporting stack, not toy datasets. Week 1: AI-assisted data cleaning and exploratory analysis on real company data — spotting patterns and anomalies faster. Week 2: AI-generated summaries, insight write-ups, and chart narration so dashboards come with the "so what" already drafted. Week 3: prompt patterns for recurring analysis requests, plus a cohort showcase where each analyst presents one AI-accelerated report. Ends with a reusable prompt playbook the team keeps using after the program.

Focused on the highest-volume HR tasks: sourcing, screening, and communication. Week 1: AI-assisted JD writing and resume screening — cutting first-pass shortlisting time significantly. Week 2: interview question generation tailored to each role, plus AI-drafted offer, rejection, and onboarding communication that still sounds human. Week 3: building a simple AI-assisted onboarding content kit and a cohort showcase of each team member's adopted workflow. Ends with a usage report for leadership on time saved per hire.