Real Estate Technology & AI Transformation

Coordinating technology and AI delivery across business requirements, solution architecture, engineering teams and external vendors.

AT A GLANCE

Role: Technology & AI Project Manager
Company / context: Atlas Tech · Three real-estate client portfolios
Domain: Technical Leadership · AI · Automation · Data
Core technology: Solution Architecture · Requirements · Data · Integrations
Focus: Requirements · Architecture · Delivery

CONTEXT & PROBLEM

Context

At Atlas Tech, three client portfolios were managed simultaneously. The work involved teams of approximately six to seven people and eight external vendors across applications, dashboards, automations and data initiatives.

The challenge

Business requirements, technical dependencies and acceptance criteria had to remain aligned while priorities moved across clients, engineering teams and vendors. Technical depth was necessary to evaluate delivery even when implementation was distributed across teams.

MY ROLE

My responsibilities and contribution

I connected business needs to solution architecture and technical delivery. I directly participated in defining and coordinating automation, data, integration, application and dashboard solutions while managing priorities, risks, teams and vendors.

01
Translated business requirements into solution scope, technical requirements and acceptance criteria.
02
Directly defined and coordinated solution architecture across automations, data, integrations, applications and dashboards.
03
Managed backlog, risks, dependencies and delivery validation.
04
Coordinated approximately 6–7 person teams and eight external vendors.
05
Validated applications, dashboards, automations and data deliverables against agreed requirements.

TECHNICAL DELIVERY OPERATING MODEL

01
SourceBusiness needs
02
ConnectScope · priorities
03
ProcessSolution architecture
04
DataTeams · vendors
05
ProcessAcceptance · validation
06
OutcomeTechnical delivery

Conceptual and anonymized view; implementation details are intentionally omitted.

ENGINEERING APPROACH

How the problem was approached

The operating model joined three responsibilities that are often separated: framing the right problem, defining how data, automation and applications should connect, and coordinating implementation across internal teams and software vendors.

01
Converted business requirements into prioritized scope, technical requirements and acceptance criteria.
02
Defined n8n automation architecture, ERP/API/SaaS integrations, data structures, ingestion and transformation pipelines, applications and dashboards according to each initiative.
03
Decided with the teams which processes should be automated as workflows and which required applications.
04
Managed backlog and risks across three simultaneous client portfolios.
05
Coordinated engineering teams and vendors, then validated delivery against the agreed criteria.

Three simultaneous client portfolios

Why it mattered: Priorities, risks and dependencies had to be managed in parallel rather than as a single delivery stream.
Response: Scope, backlog, dependencies and acceptance criteria were maintained as explicit delivery controls.

Cross-vendor dependencies

Why it mattered: Eight vendors participated across different technology deliverables.
Response: Technical and delivery dependencies were coordinated across teams and validated against the solution scope.

Business-to-engineering translation

Why it mattered: A business request needed enough technical definition to become implementable and testable.
Response: Requirements were translated into solution scope, technical requirements and acceptance criteria before validation.

FOCUSED IMPLEMENTATION

Strategy

Frame and prioritize the right delivery.

Business requirements, prioritization, solution scope, architecture, risks and acceptance criteria.

Engineering

Maintain technical coherence across the portfolio.

n8n architecture, ERP/API/SaaS integrations, data structures and flows, ingestion pipelines, applications, dashboards and delivery validation.

Leadership

Coordinate execution across organizational boundaries.

Teams, vendors, backlog, dependencies, risks and on-schedule delivery.

SOLUTION

A technical delivery model connected business framing, solution architecture and coordinated execution so teams and vendors could work against shared requirements and acceptance criteria.

CORE TECHNOLOGY

Solution ArchitectureRequirementsDataIntegrationsAutomationApplicationsTechnical Delivery

EVIDENCE-BASED IMPACT

What changed as a result

Recorded outcomes from the project scope.

3 real-estate clients served simultaneously, with 6–7 person teams and 8 external vendors coordinated.

3 dashboards, 2 applications and 6 automations delivered across the portfolio.

30+ manual processes were automated, eliminated or significantly reduced.

63M+ total rows across 21 data tables, each with more than 3M rows.

Approximately six months of operational effort saved in monthly consolidations.

100% of recorded projects delivered on schedule.

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