On-site AI training for your whole team — engineers and the rest of the room. Marketing, ops, HR, sales, finance. We come in, audit how they actually work, then upskill the room until they're shipping AI into their own workflows. Not certificates. Real tools.
THE GAP
ChatGPT for individuals is solved. Wiring it into how a team actually does its job is not. Most companies are still at “our people use it for emails sometimes.”
59%
report an AI skills gap
Leaders, 2026 — even after two years of AI tools in the building.
// Tredence, 2026
76%
adopt AI when employers train them
Versus 25% when they're left to figure it out alone.
// Bright Horizons, 2026
53%
AI talent shortfall in India
Projected by end of 2026. BFSI GCCs in Hyderabad already pay 2× premium.
// NASSCOM / Mercer-Mettl
THE EXPERIMENTATION TAX
Most teams are six months into expensive trial-and-error — burning tokens, eating engineer hours, shipping things that don't survive contact with real users. We've already paid that tax shipping AI products to thousands of users. We hand the playbook over directly.
// WITHOUT US
// WITH US
WHO IT'S FOR
We do the deep engineering tracks too — agentic codebases, evals, deployment, the works. But the expensive gap most companies miss is everyone else: the functions that handle the majority of the work and get the least AI investment.
Agentic coding workflows, MCP servers, eval harnesses, RAG that holds up in production. The deep track for teams already shipping code.
Campaign briefs into shipped creative. Briefs to landing pages to ad variants — wired together so the team moves 5× without losing brand voice.
Manual processes turned into agents that triage tickets, route requests, draft SOPs, summarize incidents. Reclaim the hours your ops team spends on toil.
Job descriptions, candidate screening drafts, onboarding flows, internal comms. AI that drafts; people that judge.
Lead research, account briefs, follow-up drafts, call summaries straight into CRM. Reps spend more time talking, less time writing.
Variance analysis, board-deck commentary, ticket summarization, renewal-risk flags. Faster cycles, fewer late nights.
WHAT WE TEACH
We start with your workflows, then build modules around them. No off-the-shelf course. The four layers below are the spine — what we put on each layer is yours.
// LAYER 01
When to reach for AI, when not to. How to read an output critically. Which model fits which job. The shared judgement the team needs before anything else lands.
// LAYER 02
Turning repeat tasks into reusable mini-tools the team can run with one click. The shift from “I asked ChatGPT to write this” to “the team has a tool that does this every Monday.”
// LAYER 03
Multi-step AI workflows that trigger on emails, files, calendars, or schedules. The team stops doing the task — they design the agent that does it and check the output.
// LAYER 04
What to log, what to review, what never to send to a model. Practical safety for legal, compliance, and brand teams.
FORMAT
All on-site at your office, or hybrid if you're distributed. Pricing on request — depends on team size and scope.
HALF-DAY
Leadership team · 5–20 people
The fastest path to an aligned exec view. What's real, what's noise, where to point investment first. Ends with a decision, not a slide deck.
2 DAYS
One function · 15–40 people
Pick a team — marketing, ops, sales. Two days, on-site, hands on their actual tools. They leave with three to five workflows wired into how they work tomorrow.
1 WEEK
Multiple teams · 40–150 people
A week on-site with your department. Stream A for leads, Stream B for individual contributors. Every team leaves with their own playbook + deployed tools.
ONGOING
Whole company · rolling
We embed for a quarter. Run training in waves, build the internal champions, audit and improve workflows, hand over the playbook so it sticks after we leave.
WHAT YOU TAKE HOME
Not a certificate. Not a PDF. Things that get used the next Monday.
⚙
Picked from their actual day — not demo data. Wired into the tools they already use (Slack, Notion, Sheets, your CRM).
★
Reusable mini-tools, scripts, and agent recipes — versioned and shared. One person's clever build becomes the whole team's default.
▲
How your company uses AI, in your voice. The doc new joiners read on day one. Living, not a one-time deck.
✦
We identify and lean on 2–3 people per team who become the in-house leads after we leave. The training keeps running without us.
THE TEAM
HAKU · SMART LANGUAGE · SUPERTUTORA
Shipped AI products used by language institutes and learners every day. Trains models on Apple Silicon. Writes GPU inference engines in Rust. Two international AI hackathon wins. 20,000+ commits since 2023.
LINKEDIN →MICROSOFT RESEARCH · DEEP LEARNING
Principal PM at Microsoft Research. GenAI, multimodal, conversational systems. Helped build a medical AI model trained on 15M images, now in real research pipelines. ICML Outstanding Paper. Multiple US patents.
LINKEDIN →PROCESS
// 01
CONSULT
30-min call. We learn the team, the workflows, the constraints. No deck.
// 02
WORKFLOW AUDIT
We watch your team work for a day. The training is shaped from what we see.
// 03
DESIGN
Custom modules. Your tools, your data, your real tasks. Signed off before we deliver.
// 04
DELIVER
On-site at your office. We sit beside the team while they build. Hands on tools.
// 05
FOLLOW-UP
30 days of async support. We come back to audit how the workflows held up.
BOOK A CONSULT
One short form. We reply within a day with a 30-minute consult slot. No sales script. We'll tell you straight if your team isn't the right fit yet.
PREFER EMAIL? HELLO@HIGHAGENCY.DEV