Enterprise Data, Analytics and Intelligent Automation
We build and integrate the systems organizations use to manage data, understand performance and automate complex business processes.
Technology built around how your business operates.
Modern Business Intelligence
Self-service BI, using AI where it earns its place, for a clear view of performance.
Give leadership and operational teams a consistent view of the metrics that matter. We build reporting environments that bring data from across the organization into clear, usable performance intelligence.
Data Management
Build the data foundation your organization can rely on.
Reliable analytics and AI depend on reliable data. We design and implement data platforms that bring together information from business applications, databases and cloud environments.
Agentic AI
AI that carries out multi-step work inside your systems.
We build AI systems that can interpret requests, retrieve information, interact with business systems and carry out multi-step workflows under defined controls.
From architecture to production.
We work with internal IT and business teams to design, build and deploy production-ready systems, and to support them once they are live.
Define the business problem, constraints and success criteria with the teams who own the process.
Design the technical architecture, including integration points with existing systems.
Build the platform, reporting layer or agent according to the agreed architecture.
Connect the system to enterprise applications, data sources and APIs already in use.
Validate functionality, data accuracy and performance before anything reaches production.
Put the system into production with appropriate access controls and monitoring in place.
Track system health, data quality and usage once the system is live.
Provide ongoing support and iterate on the system as requirements change.
We build around your existing technology environment.
Most organizations do not need to replace their existing systems to get better data and automation. We integrate with what is already in place, including ERP, CRM, HRIS, finance, operations, cloud platforms, databases, APIs and internal applications.
Representative systems we commonly integrate with include SAP, Salesforce, Microsoft Dynamics, Oracle, ServiceNow, HubSpot, Microsoft 365 and Azure. This reflects the systems our work typically connects to, not a certified partnership with these vendors.
Extend your engineering capacity without replacing your internal team.
Many of the organizations we work with already have an internal IT department. In those cases, we add implementation capacity and work alongside your engineers. We work alongside internal engineers and stakeholders throughout the engagement.
Designed for enterprise environments.
Security is designed into the architecture from the first sprint. We do not claim certifications or regulatory compliance we have not verified for a given engagement.
Technology that improves how the business operates.
The tools behind the work.
Technology selection depends on the environment and requirements of each engagement. These are the platforms we most often build on.
Where we work.
Build governed data environments and reporting systems that give banking and financial teams consistent access to critical information.
Connect production, raw materials, inventory, procurement and financial data to create a unified view of operational performance.
Integrate shipment, fleet, equipment tracking and transportation data to improve visibility across the supply chain.
Consolidate utilization, project and financial data to give leadership a current view of engagement performance.
Connect leasing, portfolio and operational data across properties into reporting teams can act on.
Integrate enrollment, performance and administrative systems to support institutional reporting and planning.
Illustrative engagements.
Illustrative engagement. Reflects the type of work we do, not an actual client account.
Unifying operational reporting across a manufacturing environment
Management reporting depended on manually consolidated spreadsheets pulled from separate production, inventory and finance systems.
Integrated the source systems into a centralized data environment and developed a Power BI reporting layer on top of it.
Deployed on Azure with SQL as the reporting store, scheduled ingestion from operational systems, and role based access for plant and finance teams.
Created a consistent reporting layer and reduced dependency on manual consolidation.
Reducing manual work in month end reconciliation
Month end reconciliation required manual review across several spreadsheets and finance systems, with no shared validation process.
Automated data collection from source systems and built validation rules to flag exceptions for review.
Built on Azure and SQL Server, with Power Automate handling scheduled collection and exception routing to the finance team.
Reduced manual reconciliation effort and gave the finance team earlier visibility into discrepancies.
Giving regional teams a shared view of performance
Store level performance data was reported inconsistently across regions, with each region maintaining its own definitions and spreadsheets.
Standardized data definitions across regions and built a shared reporting layer accessible to every region.
Data modeled in Snowflake, transformed with dbt, and delivered through a common set of Power BI reports.
Regional teams now work from the same numbers, reducing time spent reconciling reports across regions.
Improving shipment visibility across a distributed carrier network
Shipment, fleet and customer data lived in separate systems, so operations teams lacked a current view of orders in transit.
Integrated carrier, fleet and order data into a central data platform and built operational dashboards for the logistics team.
Built with Azure Data Factory for ingestion, a cloud data warehouse for storage, and Power BI for the operational view.
Gave operations teams a current, shared view of shipment status across carriers.
Experience our team brings to your project.
Before and alongside AJM, members of our team have delivered data and analytics work for organizations including the following. We bring the same standard to every engagement: the right way.
Seaboard Marine
- Analytics and reporting across a fleet of 25 cargo vessels
- Reporting for ground transportation operations
- Customer discovery by ZIP code to support distribution planning
W. L. Gore & Associates
- Analytical and AI models on product data across fabrics, aerospace, automotive and electronics lines
JLG Industries
- Migration from a legacy reporting tool to a modern analytics platform
- Dashboards and reports for heavy machine parts and inventory
- Data management supporting the B2B customer lifecycle
- B2B financial analysis
Citi
- Financial dashboards for stakeholders
Abanca
- B2B process automation
- Data management
- Financial reporting
This work was performed by individual team members in prior roles or through other firms. It is listed to describe their experience and does not represent an engagement between AJM and these organizations, or an endorsement by them. Company names are trademarks of their respective owners.
Ready to talk about your systems?
Tell us what you are working with and where the friction is. We will scope it with you and build it the right way.
Discuss a Project