Experiences
Portals, mobile app, business workspace and digital business assistant, giving simple access to services based on permissions.
Architecture and integration
The foundation that connects the enterprise: connect systems, build trusted data and run business processes.
ATAM Digital Backbone is ATAM’s proposed architecture and integration framework for coordinating ERP, business applications, AI services and cybersecurity controls.
It is a modular architecture configured around the existing IT environment and client priorities, so that systems are connected, data is trusted and business processes run on one coherent foundation.
Clearly defined layers, each with an assigned operational responsibility. This is a reference architecture: detailed design specifies the selected technologies, connectors and service levels.
Portals, mobile app, business workspace and digital business assistant, giving simple access to services based on permissions.
ERP, workflows, documents and approval rules to execute transactions and record decisions.
Document search, predictive models and agents that assist users with appropriate controls.
APIs, events, pipelines, master data and catalogue to share well-defined, controlled information.
Identity, secrets, logs, backup and monitoring to protect access and maintain continuity.
Model quality starts with reliable data and the right context. Typical deliverables: data model, catalogue, quality rules, access matrix and control dashboards.
Define customers, suppliers, assets, sites and employees. Assign owners, manage identifiers and resolve duplicates at source.
Check completeness, accuracy, freshness and consistency. Document data origin, transformations and indicator calculation rules.
Build pipelines, organise data zones and publish trusted datasets. Separate transactional, analytical and document needs.
Classify information, restrict access, define retention periods and monitor sharing. Plan for data deletion and return.
Infrastructure matched to criticality, data and operating constraints. Hosting and data-transfer requirements are assessed by data category and sector.
Cloud, private or hybrid model, with separate production, test and development environments and capacity sized to real workloads.
Backups, restoration tests and disaster recovery, with availability targets agreed with business owners.
Monitoring, secrets, patches, capacity and costs. Every alert links to an owner and a response procedure.
A design example, from a purchase request to supplier payment. AI prepares or recommends; financial commitments follow the client’s approval authorities.
Business form and budget verification, with an identified requester, cost centre and justification.
Workflow by amount, category and delegation, with an approval history and separation of duties.
ERP procurement, supplier management and receipt matching, with a unique reference, accepted quantity and documented variances.
Assisted data extraction and matching with the order and receipt, with extraction confidence and human review of exceptions.
Payment proposals and cash-flow monitoring, with financial authorisation, an audit trail and lead-time analysis.
A business workshop to define priorities, solution scope and measurable results.