eduba Prepared by Eduba for BeSmart Services LLC — Emerge Americas 2026
Book 30 minutes with Matt
Prepared for bSmart Services LLC · eMerge Americas 2026

A read on where AI fits in bSmart's stack, and where it does not.

Nineteen years of recurring contracts in Wellington, Lake Worth, Palm Beach, and Fort Lauderdale. A service menu that covers managed IT, cloud, backup, cybersecurity, and compliance. What the menu does not include yet is an AI row. This page is a sixty-minute answer.

3 Reasons this conversation is worth thirty minutes

Built for MSP owner-operators who want an AI row on the menu.

01

The service menu has no AI row

For a 2006 MSP, the 2026 inflection is whether you can wrap Microsoft 365 Copilot, agentic helpdesk triage, and compliance automation into the recurring contract. Every month you do not, a newer competitor prices you out of renewal.

02

The pricing story goes defensive on renewals

"Cheaper" is a client objection response, not a proactive value narrative. Shops your size lose roughly a fifth of renewal conversations on price when the only answer is discount. A smarter row on the menu changes that conversation.

03

Owner-operator bandwidth, not headcount

Hiring an AI engineer is a nine-month project. Reselling a packaged AI service tier through a methodology you already trust is a ninety-day project. This page is the second path.

The pitch, in plain English

Sixty percent code. Thirty percent rules. Ten percent AI.

bSmart has been running Wellington, Lake Worth, Palm Beach, and Fort Lauderdale since 2006. Nineteen years of recurring contracts. A service menu that covers managed IT, cloud, backup, cybersecurity, compliance, and consulting. Three named client testimonials on the homepage (PLUS THREE, ContinuServe, WiperShields) with specific wins: a 70 percent hosting cost cut, a point-to-point VPN, a rebuilt web stack. That is a track record, not a pitch deck. What it does not include yet is an AI row on the menu.

Eduba exists for exactly this moment. We do not sell Copilot licenses. We design the thin layer that sits between your clients' work and whichever AI model is cheapest that quarter. The frame we bring to every MSP conversation is the 60 / 30 / 10 view of your clients' stacks: sixty percent of their problems are traditional code and database work your team already handles, thirty percent are rule-based logic that belongs in a workflow tool, and ten percent are genuine AI problems where an orchestration layer earns its fee.

The meta line. An MSP with nineteen years of South Florida SMB relationships and no AI row on the service menu is one short sprint away from reselling the thing their clients are already asking them about.

What Eduba actually does

One playbook, applied across a book of clients.

We built this playbook with Simple Lyfe Stays, a 46-property short-term rental operator who was running multi-unit ops out of spreadsheets and heroics. We ran a workshop, built the Organizational Context Architecture, shipped a Strategic Operations Framework, and left them with a repeatable orchestration model.

The same shape works for a multi-client MSP. Instead of orchestrating properties, you are orchestrating clients. One playbook, applied across a book. The per-client margin is better because the engineering is not bespoke.

Eduba partners with NLP Logix for work that sits below the orchestration layer. NLP Logix has been in machine learning since 2011 and runs over 150 data scientists. If a client conversation turns into a full-stack build, we have a delivery partner and we do not disappear from the relationship.

Closest-fit case study

Simple Lyfe Stays: orchestration across a distributed book.

Why this one

Same pattern. Different surface.

Simple Lyfe is an ops-heavy multi-unit operator who needed orchestration across a distributed business. bSmart is a multi-client MSP who needs orchestration across a distributed client base.

The engagement shape was a workshop, an Organizational Context Architecture, a Strategic Operations Framework, and a playbook the operator could apply across every unit. For bSmart, swap "unit" for "client" and the shape holds.

The broader training track: 1,500+ people trained across enterprise engagements since May 2025, including KPMG UK (Big Four) executives and teams at Pacific Life and Colgate-Palmolive.

Engagement scope

Workshop, context architecture, playbook, 90-day adoption.

46PROPERTIES ORCHESTRATED IN THE PILOT
1,500+PEOPLE TRAINED ACROSS ENTERPRISE ENGAGEMENTS
95%STILL USING THE TOOLS 30 DAYS AFTER THE WORKSHOP
The work behind the pitch

Published methodology. Open repositories. Real citations.

ACM TiiS, submitted

Interpretable Context Methodology (ICM)

How to organize agent context so that a third-party audit, a new technician, or a client's legal team can all read the same folder structure and know what the system is doing. For an MSP that serves HIPAA, PCI, and NY SHIELD clients, this is the evidence layer you need before reselling agents at scale.

The delivery partner

NLP Logix, below the orchestration layer

When a client conversation turns into a full-stack build (production data pipelines, custom ML, heavy engineering), Eduba routes the downstream work to NLP Logix. NLP Logix has been in machine learning since 2011 and runs over 150 data scientists. Eduba stays in the client relationship throughout.

Concretely, what we propose

Thirty minutes with Matt. Bring one client you are about to lose on price, or one you are about to upsell on AI.

We will run a live orchestration audit on that client. You will walk out with three specific services you can add to the contract this month. If the fit is there, the follow-on is a scoped training and advisory sprint priced against your ability to put it to work inside ninety days.