Paul Maddison / IT Consulting

25+ years building enterprise systems. Available for serious technical work.

Alongside KynticAI product work, Paul Maddison is available for independent IT consulting: hands-on build work, technical leadership, architecture, enterprise systems, cloud platforms, AI-assisted engineering, delivery rescue, and commercial technology advice across domains.

Experience profile

25+ years

enterprise software engineering

100+

commercial projects delivered

Full stack

C#, SQL, Python, Go, Java, Rust, JavaScript

Best fit: teams that need senior engineering judgement, practical delivery, and someone who can move between code, architecture, leadership, AI, data, and commercial context.

Available For

Consultancy outside the KynticAI product suite.

Desktop, web, mobile, cloud, microservices, containers, and now AI: the tools keep changing, but the job stays the same. Build software the business can depend on.

Hands-on product engineering

Commercial software delivery across web apps, APIs, SaaS platforms, mobile applications, internal tools, integrations, and AI-enabled workflows.

Technical leadership

Team direction, engineering standards, delivery rhythm, stakeholder translation, technical mentoring, and pragmatic decision-making under pressure.

Architecture and system design

Architecture reviews, greenfield design, legacy modernisation, microservices, containers, cloud migration, data-flow design, integration strategy, and scale planning.

Delivery rescue

Rapid diagnosis for stuck projects: unclear ownership, brittle code, missing architecture, weak delivery process, vendor drift, and overcomplicated scope.

AI and automation advisory

Practical AI use-case selection, coding-agent workflows, prompt-system boundaries, data governance, model integration, and cost-aware implementation.

Commercial due diligence

Technical review for founders, investors, and leadership teams who need a straight read on feasibility, build risk, delivery cost, and engineering maturity.

Cross-domain range

Broad enough to see the system. Practical enough to ship the work.

The offer is deliberately general: if the problem sits somewhere between software, people, process, data, AI, operations, and commercial pressure, Paul can usually help clarify it, shape it, and move it forward.

SaaS and product platforms

Enterprise systems and integrations

Custom software development

AI, automation, and workflow tools

Web, SaaS, and mobile application development

Enterprise content management

Database development and SQL-heavy systems

Data platforms, reporting, and analytics

Cloud architecture and DevOps

CRM, customer operations, and sales systems

Internal tools and operational software

Legacy rescue and modernisation

Founder, investor, and board advisory

Enterprise app estate

Help across the systems companies actually run.

Consultancy is available around the messy middle of business software: the apps, databases, integrations, workflows, and operational rules that sit between people, customers, suppliers, finance, and delivery.

CRM platforms such as Salesforce, Dynamics, HubSpot, and custom CRM estates

ERP and operational platforms including SAP, finance, purchasing, stock, order, and fulfilment systems

Customer support, ticketing, service desk, and field-service systems

HR, payroll, workforce, compliance, and internal operations platforms

Ecommerce, CMS, product catalogue, pricing, checkout, and customer portal systems

Marketing automation, analytics, attribution, lead management, and sales operations tooling

Email, Microsoft 365, Teams, SharePoint, document management, and enterprise content platforms

Data warehouses, reporting systems, BI dashboards, event streams, and data integration layers

Payment, billing, subscription, licensing, entitlement, and revenue operations systems

Legacy line-of-business applications, databases, APIs, batch jobs, queues, and vendor integrations

Skills

Deep commercial engineering range, from legacy enterprise systems to AI-native builds.

Paul can operate across the stack: code, databases, cloud, architecture, content platforms, AI infrastructure, and the delivery controls that keep the work usable.

Languages and frameworks

C#.NET FrameworkASP.NETASP.NET MVCASP.NET Web APIJavaPythonGoRustTypeScriptJavaScriptHTML

Modern app platforms

Node.jsReact.jsAngularBlazorReact NativeMobile applicationsSaaS development

Data, AI, and infrastructure

PostgreSQLSQLNoSQLLanceDBArtificial IntelligenceMessage queuesKubernetesAWSMicrosoft Azure

Architecture and enterprise platforms

Technical architectureSolution architectureEnterprise content managementOptimizelyUmbracoSitecoreCloud application developmentDatabase development

Engagement Shape

Senior help without forcing it into a product box.

Contract delivery

Embedded development, technical lead, or architect capacity for a defined project or delivery window.

Fractional leadership

Part-time CTO, head-of-engineering, or architecture support where the team needs senior judgement without a permanent hire.

Review and recovery

Short, sharp consultancy for architecture review, delivery triage, codebase assessment, supplier challenge, or roadmap reset.

Workshops and strategy

Focused sessions for AI adoption, product architecture, data strategy, delivery planning, or technical-commercial decision support.

Talk to Paul

Bring the messy technical brief. Leave with a clearer route.

Suitable for contracting, advisory, technical review, architecture, leadership, and delivery support where the work is broader than one KynticAI product.