highly likely

Practical AI. Put to work.

A small team.
A bigger capacity.

Highly Likely connects your business systems, builds useful tools, and puts AI to work on the repetitive tasks taking up your week.

Let’s talk
See what that looks like ↓

01 / Selected work

“Something that would normally have taken us two weeks to turn around … we had done in less than an hour.”
Phil ThomasFounder, BaximusOn creating a proposal and presentation from an intake call.

Baximus ↗ / Restaurant consulting

Company knowledge.
Ready to use.

Company knowledge turned into useful answers, briefings, and a faster start on proposals.

Explore the work

Baximus was managing multiple restaurant brands, years of documents, and complex opening plans. The work brought SharePoint content into an organized Notion foundation, with document search, intake, and selected files converted for native editing.

A linked project structure brought 158 tasks into one place. Hands-on sessions helped the team use its company context to find information and prepare documents. Follow-on work added branded document tools and developed a personal morning briefing as the team’s needs evolved.

01 Shared context
DocumentsBrand & operating guides
1
ProjectsOpening plan & milestones
2
Meeting notesPriorities & decisions
3
02 A useful starting point

What should our opening proposal cover?

Start with the opening plan. Build the scope around three priorities:

  • Team readiness 1
  • Launch milestones 2
  • Support after opening 3
1 · Brand guide2 · Project plan3 · Intake notes
03 Ready to shape
BAXIMUSPROPOSAL / DRAFT
A stronger
start.

Restaurant opening support

01 Prepare the team
02 Plan the launch
03 Support the opening
SAMPLE CONTENT01 / 03
For human review
Generic sample content · AI assists the draft. The team makes the call.

Marais Home ↗ / Retail & design

Two people.
A lot less back office.

AI-assisted quoting, inventory, and order tools for the work behind a retail shop and design studio.

Built inside our own business.AI for your design studio
Explore the work

Quotes. A designer uploads an Excel workbook in ChatGPT and receives a branded, room-by-room PDF. Structured templates handle the presentation; code calculates the totals.

Inventory. AI-assisted vendor intake prepares Shopify product records with images, descriptions, pricing, SKUs, inventory, and shipping settings, using documented rules for each vendor.

Orders. Structured order data feeds purchase orders, shipping manifests, and delivery sheets. Order-tracking workflows bring updates together and flag exceptions for review.

AI extracts and prepares. Code calculates. People stay in control.

Design selections
room-selections.xlsx
RoomSelectionQty
LivingLinen sofa1
LivingOak side table2
DiningPendant light1
DiningWoven chair6
One room schedule
Client-ready proposal
MARAIS HOMEDESIGN PROPOSAL
01 / LIVING ROOM

A considered space.

01
Linen sofaNatural linen / quantity 1
✓
02
Oak side tableWarm oak / quantity 2
✓
Prepared room by room01 — 02

A spreadsheet becomes a polished, room-by-room client proposal.

02 / How we help

Find it. Build it. Keep improving.

Start with a paid diagnostic. Build and test a focused solution together. Keep improving with scoped ongoing support.

03 / About Highly Likely

Experience in AI.
Grounded in real work.

Highly Likely helps businesses build better systems. We bring practical experience in AI and everyday business operations to the work, from connecting scattered tools to building useful workflows. We work closely with you to make technology fit the way your business runs.

Based in Lexington, we work with Kentucky businesses and teams further afield.

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