ENTERPRISE AI DEPLOYMENT · DONE FOR YOU · LIMITED SLOTS

AI won't replace you. Someone using AI will.

Learn the real AI hard skills, and build strength that holds up

You don't have to learn it. AI employees, straight onto the job.

In class, you build it yourself; with this service, we build it with you and hand it over finished. Around your company's real needs we design custom workflows and develop your own AI Skills — weeks later your business has a senior AI employee running an entire task line end to end, even an AI team. Everything lives in your company's own accounts: when we step away, you keep using and changing it.

First, which path is yours?

Take the course, if —

You want to own this skill yourself and change things anytime; you're happy to spend a weekend hands-on; budget comes first.

Choose deployment, if —

Your time is worth more than the fee and you just want the result; or you took the course but never shipped; or it's a whole team that needs the workflows and rules stood up together.

Two enterprise projects — start where you need to

Quote-based: within 48 hours of the free diagnosis you get a one-page plan — what gets installed, what's delivered, how long, how much. Sign only what you understand. Final scope and delivery plan for enterprise projects follow the needs diagnosis.

Best first step for a single process

Enterprise Senior AI Employee Delivery

$12,800+TAX

Project-based delivery · 30 days of go-live coaching

Start from one high-value business scenario and deploy a senior AI employee that runs a complete task line on its own. Not scattered prompts or tool training — your existing processes, business rules, knowledge material and approval requirements, turned into an end-to-end AI workflow you can actually put into production.

What the project delivers

Process diagnosis and redesign: map what exists today and find the duplicated work, the bottlenecks and the AI entry points

End-to-end AI workflow: take in the task, analyse the material, act, produce the result — the whole task line, running

Company-owned AI Skills: your business knowledge, judgement criteria and working methods packaged as reusable AI capability

System and tool connections: email, forms, CRM, document stores and your existing business systems, as needed

Enterprise knowledge base: product information, service standards and business rules organised so the AI works from your knowledge

Permission and decision-boundary list: what the AI may handle automatically, when it must stop, and which step a human always approves

Testing and exception handling: result checks, failure alerts, human takeover and a task audit trail

Team handover training: your people learn to use, manage and maintain the senior AI employee

Operations manual and management documentation: the full process, prompts, permission rules and routine maintenance

30 days of go-live coaching: we watch the results, correct the process and tune real-world performance

What you get: a senior AI employee that works by your company's rules, plus one complete business process that is executable, checkable, handover-ready and extensible.

For companies that want one core process running first — sales follow-up, quoting, customer service, content marketing, document review or admin.

Enterprise-scale system build

Enterprise AI Operating Foundation

$58,800+TAX

Enterprise consulting and build · scope set by diagnosis · 90 days of operating coaching

Not buying a few more AI tools — building your company a unified, secure, governable and extensible AI infrastructure. From strategy and data/knowledge consolidation through to multi-role AI employee collaboration, permission governance and team adoption, scattered AI experiments become one enterprise system that genuinely enters daily operations.

What the project delivers

Enterprise AI strategy and maturity diagnosis: processes, data foundations, team capability, system environment and risk

AI adoption roadmap: priority scenarios, investment order, expected value and a phased implementation plan

Enterprise AI architecture: how models, data, knowledge bases, workflows and existing systems connect

A unified enterprise knowledge base: product material, business documents, SOPs, training material and institutional history

Multi-role AI employee structure: AI employees across sales, marketing, support, admin and management

Cross-role collaboration: AI employees that divide work, hand off, consolidate and drive tasks to completion

Enterprise AI Skills library: your own analysis, writing, review, quoting, follow-up and decision-support capabilities, captured

System integration and automation: CRM, email, forms, cloud drives, the website and internal systems

Permissions, security and governance: access rights, sensitive-data rules, approval gates, audit logging and human takeover

Quality monitoring and risk control: result validation, anomaly alerts, version management and continuous-improvement standards

Leadership and team training: management learns AI governance, staff learn the applications for their own roles

Complete delivery documentation: technical architecture, business processes, permission lists, operations manuals and maintenance standards

90 days of operating coaching: track usage, fix problems, tune processes and drive real team adoption

What you get: one unified AI operating foundation, a digital AI team that works in concert, and clear permission, process and governance standards. AI stops depending on whichever employee experiments on their own and becomes a long-term capability the company can manage, replicate and keep extending.

For growth-stage and mid-sized companies driving AI across several departments, consolidating enterprise knowledge and systems, and building long-term AI advantage.

What counts as delivered? Checked off together, on site

Not marketing lines — the acceptance criteria written into the service agreement. Unchecked boxes mean it isn't delivered.

01

The workflow runs a full task line live, on your real business

02

AI Skills and AI employees installed in your company's own accounts

03

Designated staff complete handover training — able to use it and change it

04

A one-page boundary list: which steps always stay human

05

The balance is due only after acceptance — per the agreement

From a chat to delivery, six steps

01

Free diagnosis

20–30 minutes to pin down the task line most worth automating first — if it's not a fit, we say so.

02

Plan in 48 hours

One page: what gets installed, what's delivered, how long, how much.

03

Deposit, work begins

Sign the agreement and pay the deposit; you get a materials checklist — work starts once it's ready.

04

Custom deployment

Mostly remote screen-sharing, on-site for enterprise scope; everything installed in your own accounts.

05

Acceptance & handover

Criteria checked off one by one, training recorded, balance settled after sign-off.

06

Aftercare coaching

30 days of support and tuning; ongoing monthly coaching available if you want a long-term hand.

I lead every deployment myself

Kevin

Kevin

Principal deployment mentor · leads every delivery himself, never outsourced

15 yrs architecture & engineering at Microsoft · Google
5 yrs designing & shipping enterprise AI in North America

Talk once — we'll tell you straight if it fits

The diagnosis is free and there's no hard sell. At minimum you'll leave knowing one thing: which part of your business should be automated first.

Questions? Ask the AI assistant at the bottom right, or find contact details on the privacy page