Majdov Consulting.
Independent enterprise consulting

Maximo,
modernized.

Practical expertise for the systems your operations depend on. We help organizations plan Maximo modernization, connect enterprise platforms, and explore AI where it can make a difference.

Discuss your project ↗

Based in St. Louis. Available for remote engagements.

Enterprise asset managementPlatform modernizationSystems integrationApplied AI exploration
01 / Expertise

Make your next
platform decision count.

01

Maximo & MAS modernization

Assess your current environment, define a practical migration roadmap, and align application, infrastructure, integration, and operational requirements before the work begins.

Readiness assessmentsArchitectureMigration planning
02

Integration & reporting

Connect asset management with the wider enterprise. Address interface requirements, data flows, reporting needs, and the dependencies that shape a successful implementation.

Enterprise APIsData integrationBIRT reportingAI & MCP integration
03

Technical delivery & enablement

Bring technical direction to complex engagements, coordinate across business and engineering teams, and prepare people and processes for the transition into operations.

Delivery leadershipTechnical trainingOperational readiness
04

Data, reporting & Splunk

Splunk app and add-on development, data onboarding and dashboards; SQL data models, ETL and executive reporting; Maximo and BIRT report suites.

Splunk appsData onboardingSQL & ETL
05

AI integration & automation

Connect AI assistants to your engineering and operations tools through MCP and APIs — Jira, Confluence, GitHub, Jenkins, Splunk and Maximo — with secure access, human approval and audit trails. Automate builds, test environments and routine engineering work.

MCP & APIsCI/CD automationAI governance
02 / Applied AI

AI grounded in
the work itself.

We are developing a forward-deployed engineering approach to asset management: start with a specific operational problem, work alongside the people who understand it, and build a focused prototype to test its value.

USE CASE / 01

Maintenance knowledge

Explore how an assistant could find relevant information in approved manuals and maintenance records, with source references for review.

USE CASE / 02

Work-order assistance

Prototype ways to summarize work history and prepare draft work-order content while keeping operational decisions with authorized people.

USE CASE / 03

Connected tools

Evaluate API and MCP integration patterns that give AI tools controlled access to asset information and selected enterprise workflows.

Hands-on experience

We've built AI agents that work through the full engineering loop in production software teams. Starting from a support ticket, the agent drafts the user story, uses Jenkins to spin up a dev environment that reproduces the issue (application server, database and agents), develops and tests a fix, and captures evidence — screenshots, logs and diagrams of the workflow — published to a Confluence page. Only then does it prepare a commit in GitHub for an engineer to review and approve.

We also built reusable AI skills adopted across an engineering team, such as reading and diagnosing customer support bundles, and used AI to build containerized Splunk environments in Docker. Integrations run through MCP servers and secured API tokens to Jira, Confluence, GitHub, GitLab and Jenkins.

The same approach applies to asset management: controlled access, clear audit trails, evidence for every change, and people in charge of decisions.

Agentic workflowsMCP integrationCI/CD automation

The three use cases above (Maintenance knowledge, Work-order assistance, and Connected tools) are illustrative areas for discovery and prototyping, not claims of completed deployments. Scope, data access, permissions, and evaluation are defined with each client.

03 / Our team

Experienced practitioners.
Direct collaboration.

SM

Sarah Majdov

Enterprise architecture & client delivery

Sarah brings experience in enterprise asset management, Maximo, BIRT reporting, solution architecture, and client leadership. Her background spans consulting and enterprise technology roles at OpenText, Accenture, Mastercard, and Wipro, including work with utilities and transportation organizations.

sarah@majdovconsulting.com ↗
LinkedIn ↗
IM

Igor Majdov

Data engineering, Maximo reporting & Splunk

17+ years building data platforms, reporting and integrations. Maximo and BIRT reporting for the U.S. Navy, Florida International University and EAMBI consultancy. 12 years at Tripwire/Fortra building Splunk apps and add-ons (4 published on Splunkbase), SQL Server data marts, ETL pipelines and REST/API integrations. Recent work connecting AI tools to Jira, GitLab and Confluence through APIs and MCP.

igor@majdovconsulting.com ↗
LinkedIn ↗
04 / Contact

What needs
to work better?

Tell us about your Maximo environment, modernization plans, or an operational problem you want to explore. We’ll start with the context and define a useful next step.

sarah@majdovconsulting.com ↗igor@majdovconsulting.com ↗