Consulting Services — AI Advisory + Technology Consulting for Hotel Distribution | HotelByte
One engagement · Two tracks

Consulting
for Hotel Distribution

Delivered by the engineering team that built HotelByte: AI Advisory finds the money, Technology Consulting gets the system right.

Both tracks share one evidence-first, three-phase methodology — prove first, then build.

Consulting Cockpit
TWO TRACKS · THREE PHASES
Evidence-bound
AI AdvisoryTrack A
formerly MarginLift
Technology ConsultingTrack B
AltexSoft-style
Shared engagement
Phase 1Diagnose / Audit2-4w
Phase 2Design / SOW1-3w
Phase 3Operate / GuideMonthly
27+
Suppliers
2-4w
Sprint
SOW+Ops
Output

Pick your question, not your vendor

AI Advisory answers where AI should cut labor and make money. Technology Consulting answers whether the architecture, performance, and cloud are right. Two tracks, one methodology, one team.

AI Advisory
formerly MarginLift
Track A

Find where AI can cut labor, save cost, and lift profit — then deliver agents, workflows, dashboards, and managed operations.

Technology Consulting
AltexSoft-style
Track B

Enterprise architecture, performance engineering, and cloud migration — the system that runs the business, with or without AI.

One engagement, three phases

Both tracks diagnose, design, and operate — each phase just produces different artifacts.

Why HotelByte for consulting

Credible consulting needs distribution depth, production experience, and the ability to deliver — not a slide deck.

Land the advice before any platform pitch

Every recommendation states what to change, why, the gain it delivers, and how it is accepted.

How it works

How the engagement runs

Diagnose, design, and operate — three evidence-bound phases shared by both tracks, protecting ROI before any platform commitment.

  1. 1

    Diagnose and audit

    A 2-4 week phase maps AI opportunities with ROI evidence and/or audits architecture and performance hotspots with real samples. No platform migration required to start.

  2. 2

    Design and plan

    Findings become an implementation SOW (agents, workflows, dashboards) and/or a target-state architecture with a phased rollout ranked by risk and return.

  3. 3

    Operate and guide

    Managed AI operations tune and track deployed workflows monthly; implementation guidance pairs on the highest-risk refactors and hands over runbooks so your team owns the system.

Evidence-first consulting

AI finds the money. Tech keeps it running. One team.

Whichever track you start from, the methodology is the same: prove first, then build, with every step auditable.

Start consulting