A single, secure AI that works across Innova's real systems, shows up where each team already works — and is judged on one number: the work-hours it gives back.
The proposal
Stop renting scattered chatbots. Stand up one governed layer — and point it at payroll.
A dedicated Innova instance — our own secure environment — that reads our systems together, obeys each user's permissions, and appears inside the tools we already use.
Hours back
Automations absorb repeatable work — the same team ships more, without new hires.
One governed layer
Replaces four personal AI subscriptions. Company sign-on, per-user permissions, full audit trail — nothing trains on our data.
Cross-system answers
Salesforce, NetSuite, Drive and more, together — and the know-how stays with Innova when people leave.
No lock-in
Provider-agnostic — we can swap the AI model behind it at any time.
Six seats, two teams, one visible first result — every later stage stands on the same backbone.
This page was itself researched, written, and built by AI under one person's review — the exact working model this brief proposes.
01
The cost that actually matters
Not software — payroll. Every task at Innova still runs on people's hours, and the AI we already pay for isn't working for the company.
4
AI providers, paid personally
separate accounts, separate bills, no shared standards
0
Oversight or audit trail
chats, data, and know-how sit in personal accounts — and leave with people
1 at a time
What those tools can see
a cross-system answer is still stitched together by hand, for hours
Hours
The real spend
every new workload means more hours or another hire
Software spend is a rounding error. Work-hours are the bill.
02
Where it lives
A dedicated Innova instance — private database, private hosting, our own address. One governed brain, reached through many front doors.
Today — scattered chatbots
A person with a question
↓
A personal chatbot
sees nothing of ours · answers get copied back in by hand
↓
Our systems, untouched
Salesforce, NetSuite, Drive — each one checked separately, by a person
The instance — one governed brain
The same person, in Slack or their AI seat
↓
Innova AI — acting as that user
sees only what that person is already allowed to see — enforced by design
↓
Salesforce · NetSuite · Drive — together
one answer drawn from all of them, logged and auditable
Many front doors, one brain — it appears inside the tools we already use, not as another app to log into.
03
The plan — and its first shipped result
No big-bang rollout. Each stage has to earn the next one with a result you can see.
Stage
Who
The result it ships
Stage 1 · now
Design + Web Dev — six seats, all policies from day one
A new product's website, launched through chat
Stage 2
More teams, more connected systems
Proven workflows become standing automations
Ultimate
The whole company
One AI interface in every department — same foundation, nothing rebuilt
Stage 1's result, end to end
A new product is ready to launch
↓
Ask in chat
one request, in plain language, in Slack
↓
Design imagery
product visuals drafted in our brand, with the Design team
↓
Site assembled
pages built and filled with the approved content
↓
Routed to a person to review & publish
a human approves the final step — always
Not a staged demo — the first deliverable, started the day Stage 1 is approved.
04
The vision — a global AI interface for Innova
Where the same backbone ends up once it has proven itself, stage by stage.
Connected to everything
Works with any AI platform — and with any part of our tech stack that can accept it.
Knowledge in every department
Company-wide knowledge bases — every team's know-how captured, searchable, and Innova's to keep.
Do more with less
Automations absorb repeatable work — we reduce headcount where the work is absorbed, and raise the quality and consistency of results.
We don't buy this future separately — Stage 1 is its first brick.
AI · Director briefing