Technical Services for Robust

Solutions Development

Design · Planning · Architecture · Integration
✓ End-to-End Full Stack Expertise
✓ Parallel Processing and Micro Services
✓ High Availability Cloud Implementations
✓ Business Continuity and Risk
✓ Mid-Market and Enterprise Solutions
✓ B2B and Retail Operations Expertise
✓ SaaS/Paas and Managed Services

SaaS / PaaS

Managed Services






and Design



Technology Designs and Specifications


The goal of any product or service is to provide exceptional value to the consumer while remaining as profitable as possible throughout the product or services’ life cycle.  Technology plays a key role in product development; whether leveraged in whole or as part of a product/service or as internal support scaffolding for delivery processes and consumer care services.

Not only do solutions developers need to understand how technology is effectively integrated into products, services and support processes, but also how technology will need to strategically evolve to keep pace with these deliverables, how initial and ongoing costs will be managed and how resource needs and acquisition will be impacted.

As technology consultants, it is our job to assess how different technologies can be used to achieve our client’s targeted goals while maintaining the most effective balance of complexity, quality, reliability, financial impact and resource availability.

For end-to-end product/service designs, these evaluations will oftentimes include non-technical elements as corroborating evidence for technical decisions and can include staff planning, operational processes, product feature scheduling, and P&L scoping for sales/market forecasts and industry changes.

Solutions Architecture

To be an effective developer of solutions requires much more than knowledge and proficiency with technology.  Solution architects will oftentimes focus too heavily on technical requirements and will fail to consider the impacts their decisions will have on consumers, operations, marketing, sales and finance.  These inaccurate technical designs will sometimes get caught during the development phase, but in many cases these systems will be released into production and not corrected until much later.  Either way, there are considerable costs and delays associated with poor solution designs that can be avoided by having the correct resources involved.

Understanding how each functional business unit operates and what each unit requires to successfully manage the business is critical to providing designs and specifications that are easily adopted, financially prudent, implemented successfully and managed efficiently in both the short and long terms.

Our approach to solutions development involves a careful consideration and awareness of many different facets of business administration.

Some of the key concerns for any project include market understanding and innovation requirements, quality standards, resource/staff impacts, process requirements and complexity, manual versus automated operations, consumer life cycle, financial efficiency and acceptance, consumer/technical support considerations and business continuity.

Within the technical realm, balancing tactical versus strategic decisions to meet MVP (minimum viable product) requirements while enabling long-term reuse and consistent practices, future proofing for technology refresh and scalability concerns and organizing around a services-oriented approach to control complexity are just a few of the considerations we take into account.


On occasion, a solution developer must get their hands dirty and work directly with a technology or development language to properly ascertain the effectiveness of their choices or to properly show their intent for a particular decision.  There are also situations where a critical component of a system must be thoroughly documented and developing a working prototype is one of the best ways to explain how a system should function and also a good learning opportunity for less experienced developers.

Some examples of our hands-on software development include:

  • Machine learning objectives and integrations (Python, Tensorflow/Keras, PyTorch, SpaCy, GloVe)
  • Data analysis and modeling (RDBMS, NoSQL, GraphDB, Python, Java, BigData platforms)
  • Key transactional subsystems for event driven, high-throughput, parallel processing (Golang, C/C++)
  • Mobile network integrations for usage/event rating and metering
  • Opensource platform integrations, ecosystem development and augmentation
  • Microservice frameworks and API designs (Rest, Soap, WebSocket, gRPC, Kubernetes, Docker)
  • Messaging and Event Handling (Kafka, RabbitMQ, AWS services)
  • IoT device management and platform integrations
  • General software design/development for targeted, pivotal objectives and mentoring
  • Proof of concepts and R&D prototypes (Python, Golang, C/C++, Java, PHP)
  • Oriented primarily towards Ubuntu/Linux, but experienced with Windows/.Net/C# development
  • Research and feasibility assessments for any opensource or commercial product/service

There are a number of base functions and design patterns for architecting business solutions regardless of whether the initiative is for a SaaS, PaaS, Ecommerce, OSS/BSS, CMS, Administrative or Mobile product/service.

The most basic business applications require some method(s) of interacting with users (even if only via a scheduler), some manner of business logic or data processing and some way of storing/retrieving data inputs and results.

If we consider this basic application as an abstract pattern that is reused over and over again with different user interface, business logic and data implementations we end up with a collection of business objects that when put together become a much more complex solution.

Now mix in business continuity and security concerns, high-throughput parallel processing requirements, external business services, robust data management and rapid scaling/deployment needs and it becomes quickly obvious a simple collection of business objects will not suffice.

This is where a skilled solutions architect provides value. By assessing an organization’s product/service expectations, expected growth forecasts, the end-to-end consumer experience, peak utilization periods, available financial resources and human capital, operational workflow needs and risk tolerance, the solutions architect can determine the optimal technology strategy.

The following list describes some of the more frequent aspects considered when designing solutions:

Front End

  • Commercial/Opensource/Custom website/mobile frameworks
  • JS/React, MVC and microservice workflows
  • Portal layouts and content workflow (administrative, client, care, billing, inventory, reporting, etc.)
  • Ecommerce solutions, frameworks and sales-oriented platforms
  • Functional processes (profile management, payment handling, support, security, etc.)
  • Distributed/Load-balanced solutions. CDN delivery options. DDOS prevention.
  • Cloud, physical data center, commercial deployments.
  • Virtualized, containers or physical implementations.


Back End

  • Microservice, service-oriented, monolithic and serverless architectures
  • REST, Soap, WebSocket, gRPC designs for API interfacing (frontend, vendor, client)
  • Event driven, message queue focused, service bus oriented and thread pooling options
  • Multi-tenant, Multi-instance designs
  • High availability, geographically diverse, clustered architecture solutions
  • High throughput, multi-threaded, multi-process, parallel processing options
  • Cloud/Physical/Hybrid infrastructure deployments
  • Virtualized, container-centric and/or physical solution implementations



  • Relational, NoSQL and Graph database styles
  • Clustered, Active/Active and Active/Standby HA solutions
  • Archival and partitioning considerations
  • High throughput / low latency designs
  • Cloud services/Opensource/Commercial options
  • ORM (object relational mapping) solutions



  • Data collection and transformation workflows
  • Event handling and message brokering systems
  • BigData, reporting, marketing and dashboard solution integrations
  • Machine learning pipelines and integrations
  • Summarization and analysis results for downstream workflow and integration


Administration and  Governance

  • Operational, customer and technical support processes and systems
  • Operational workflow definitions, systems and integrations
  • Operational reporting, metrics, dashboards and KPI management
  • Financial accounting, cost management and inventory systems / integrations
  • Marketing event collection, cart/sales management, product catalog, promotions, etc.
  • Customer Care/CRM, Account Management and Business Development systems
  • Consumer system interactions, workflow designs, life cycle management
  • Infrastructure topology and management (processing, storage, networks, security, monitoring)
  • Opensource and Commercial vendor evaluation, selection and negotiations
  • Business continuity, disaster recovery and growth/scaling considerations
  • Product, change and release management policies and procedures
  • Security policies, user role/permission administration and compliance reviews

SaaS solutions are generally built to be managed by an organization to provide online software services directly to retail consumers or through commercial/B2B and wholesale channels.

PaaS entails providing end-consumer or commercial clients with packaged infrastructure, software applications and administrative support systems that put together create an ecosystem of services the client may use for their own purposes, or if designed as such, can be white-labeled and sold to their customers in a wholesale fashion.

The intent of the solution drives the architectural decision making process. For example, will the system need to bill consumers on behalf of clients (wholesale, white-label or managed services) or will the platform be billed to clients directly as a bulk service (commercial enterprise) or individually (retail)?

Whether or not the platform should support consumer level, B2B/commercial and/or wholesale clients is a major design decision that is much easier made up front than bolted on later in the platform life cycle, but with proper planning, platforms can be defined, for example, to support retail initially and then enhanced later to support enterprise or wholesale models.

The following bullets outline some of our SaaS/PaaS areas of expertise and experience:

  • Data only mobile networks for IoT service deployments
  • MVNO end-to-end startup solutions, enablement platforms and aggregation systems
  • IoT device management and event processing solutions
  • Order-based and Subscription billing platforms for product/service and event-based offers
  • Order management systems for product/service Ecommerce and Customer Care sales
  • End-to-end call center operational systems and CRM solutions
  • Product/Service order fulfillment and provisioning of tangible/intangible products
  • Inventory, procurement and warehouse management systems and accounting integration
  • Operational Support Systems (OSS) services and provider integrations
  • Fleet management and asset tracking platforms and administrative systems

Operational support systems may not be glamorous, but these systems are crucial for delivering and maintaining well managed, efficient operations.  A company’s product/service offerings may be considered high value, but without quality support the consumer experience will suffer along with a company’s reputation.

Not only are support systems a primary source of a consumer’s quality perception, these systems often comprise the bulk of bottom-line savings opportunities.  If these processes are inefficient, overburdened with manual resources, or prone to workflow (or worse, financial) errors, a company’s SG&A can skyrocket.

A solutions developer with experience improving operational efficiency through technology can lower operating expenses and improve the quality component of a product or service; resulting in better margins and improved sales.

The following list comprises some of the functional areas we have direct experience improving:

  • Forward/Reverse logistics systems and processes (i.e. order fulfillment/shipping and returns)
  • Inventory and Warehouse management and procurement solutions
  • Provisioning solutions for service providers (i.e. device activation, warranty subscriptions, etc.)
  • Customer care integrations, CRM systems and Call Center contact/script management
  • Marketing event collection, reporting, management and commerce integration
  • Manual resource workflow and process/system development
  • Cross department workflow (i.e. Customer Care to Returns to Inventory and back to Care, etc.)
  • IVR process tree development and supporting system API integrations
  • Accounting platforms integrations with inventory, billing, fulfillment and order management systems
  • Billing systems (consumer, commercial, wholesale) and general/telecom taxation
  • Order management systems for Ecommerce, Customer Contact and Wholesale/B2B sales
  • Payment gateway subsystem development, accounting integration and reconciliation
  • Service cost analysis and reconciliation (downstream consumers and upstream suppliers)

For a solutions developer to be truly effective they must have real world operational experience within a number of fields/industries related to the area they are working to ensure comprehensive requirements analysis, robust potential issue considerations and optimal design efficiency.

The following list comprises the industry experience we provide our clients:

  • Asset Tracking
  • Consumer / B2B / Wholesale Billing
  • Customer Care / CRM / Contact Sales
  • Ecommerce (products, services and subscriptions)
  • Federal Government / US Federal Courts / GSA
  • Financial Banking Systems / Trading solutions / Payment Systems
  • Fleet Management / ELD Compliance
  • Health Services / HL7
  • Inventory, Procurement and Warehouse Management
  • IoT (internet of things)
  • Machine Learning (supervised / unsupervised)
  • Manufacturing (B2B and Consumer mechanical and electronic products)
  • Mobile/Cellular Networks (3G-UMTS/4G-LTE/5GS)
  • Mobile Carrier integrations (Verizon, TMobile, USCellular)
  • MVNO (mobile virtual network operator)
  • MVNE (mobile virtual network enabler)
  • MVNA (mobile virtual network aggregator)
  • Natural Language Processing (sentiment / aspect / entity / topic / pos)
  • OSS/BSS (operational / business support systems)
  • Retail Cellular Sales and Marketing
  • Retail Logistics / Supply Chain

About Avemac Consulting

Founded in 2019, Avemac Consulting is a technology advisory and solutions development company. 

We partner with mid-market clients to deliver exceptional leadership and value across a broad range of business functions, including executive technology management, solutions architecture, software development, cloud services, operations and product development.

Our focus is on the financial benefits of improved operational efficiency, technology planning, complex ecosystem collaborations and disruptive products/services.

We specialize in executive IT management, advanced solutions development, service channel operations, supporting systems orchestration and augmenting existing platform solutions with IoT and Machine Learning enhancements.

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Better Solutions · Better Alignment · Better Results
✓ Experienced Technology Guidance
✓ Advanced Solution Architecture
✓ Innovative Product Development