Capabilities
Six disciplines. One standard.
Moweb's consulting practice covers the full arc of enterprise AI, from board-level strategy to the documentation a regulator reviews eighteen months after deployment. Each capability stands alone, and together they form a single, sequenced transformation.
Strategy01 / 6
AI Strategy & Transformation
Translate ambition into an executable AI roadmap, scored against board-grade economics.
- AI value map across functions, scored by NPV and time-to-value
- Capability and talent gap assessment versus 2025-26 industry benchmarks
- 12 / 24 / 36-month investment plan and target operating model
Read the ai strategy & transformation brief
Build02 / 6
Generative AI & LLM Solutions
Production-grade copilots, agents and RAG systems engineered for accuracy, latency and cost.
- Use-case selection workshops with feasibility, value and risk scoring
- Retrieval-augmented generation (RAG) platforms on Azure OpenAI, AWS Bedrock and GCP Vertex
- Agentic workflows with tool-use, human-in-the-loop, and audit trail
Read the generative ai & llm solutions brief
Foundations03 / 6
Data Engineering & Platforms
The lakehouse, contracts and lineage your AI roadmap silently depends on.
- Modern data platform on Databricks, Snowflake, Microsoft Fabric or BigQuery
- Domain-aligned data products with explicit contracts and SLAs
- Reverse ETL, CDC and streaming pipelines for activation
Read the data engineering & platforms brief
Modernize04 / 6
Cloud & Infrastructure Modernization
Migration, replatforming and FinOps for AI-ready cloud estates on AWS, Azure and GCP.
- Application discovery, dependency mapping and 6R disposition
- Landing zones with security-by-default and tenancy isolation
- Containerization, Kubernetes (EKS / AKS / GKE) and serverless modernization
Read the cloud & infrastructure modernization brief
Engineer05 / 6
Enterprise Software Engineering
Bespoke platforms, ERP extensions and integration fabric for complex corporates.
- Custom platforms in TypeScript, Java, .NET and Python
- ERP and CRM extensions for SAP, Oracle, Dynamics, Salesforce and ServiceNow
- Integration fabric - event-driven, API-first, contract-tested
Read the enterprise software engineering brief
Govern06 / 6
AI Governance, Risk & Compliance
Operating model, controls and assurance for AI under the EU AI Act, NIST and ISO 42001.
- AI inventory, risk classification and impact assessments
- Policy, control catalogue and reviewer workflows
- Model cards, data sheets and audit packs aligned to ISO/IEC 42001
Read the ai governance, risk & compliance brief
Frequently asked
How we run the work.
How does Moweb structure a typical AI consulting engagement?
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We open with a 4 to 6 week assessment that maps the AI value pool, scores 12 to 25 candidate use-cases, and produces a sequenced 12-, 24- and 36-month plan. Production builds then run as 8 to 16 week pods, blending Moweb engineers with your team. Most clients transition to a managed-service or co-managed model after the first two production deployments.
Do you handle AI governance and model risk separately, or as part of the build?
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Both. We can deliver governance as a standalone workstream - building an AI inventory, control catalogue, policies and audit packs for organizations preparing for the EU AI Act, NIST RMF or ISO/IEC 42001 - or embed it into every build pod so that controls and evidence accumulate as the system is engineered, rather than retro-fitted before launch.
Which cloud providers do you build on?
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We are senior-partner-grade on Amazon Web Services, Microsoft Azure and Google Cloud Platform, and certified across Databricks, Snowflake and Microsoft Fabric for the data layer. Engagement choice is driven by client landing zones, existing licensing and data-residency requirements - never by a Moweb preference.
Will you work with our existing systems integrator or another consultancy?
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Yes, frequently. A substantial share of our work is delivered alongside an incumbent SI. We carry the AI engineering edge; the SI carries the application or process backbone. We operate in joint pods with shared backlogs and a single delivery lead.
Next step
Brief a Moweb partner