Architecture and Use Case Mapping
Your stack against the reference architecture, and what goes on it first
We find which layers are missing, what each would take, and put your candidate use cases in a defensible order.
Book thisCapability
AI & Agentic
Your systems of record have an owner. The AI tools on your people’s desks have an owner. The layer in between your data, your context and IP, your controls, your model choices has none. It is where every agent you deploy will actually run.
3 Practical Steps to Accelerate AgenticLatest Insights
Knowledge & Resources
Data & AI
Scale your AI & Data Investment
Read More Data Platform
From Point Solutions to Enterprise Scale
Read More Agentic AI
Managing the Growth of Enterprise AI Agents
Read Article Data & AI
Your AI Ambition Has Outrun Your Architecture
Read Article Enterprise Architecture
The System of Record Has Been Demoted
Read Article AI Strategy
Why Most AI Pilots Never Leave the Runway
Read Article Our Capability
From Raw Data to
Trusted Enterprise Intelligence
Decision Inc. supports the full lifecycle of modern data and AI transformation, from strategy and architecture to engineering, governance, AI delivery and managed scale.
To drive sustainable value, enterprises must move beyond point solutions toward a unified operating model. Decision Inc. synthesises governance, engineering discipline, and FinOps into a singular framework, rather than treating them as three disconnected initiatives. This approach ensures that cloud-native implementations are both cost-optimised and architecturally rigorous, providing a "Gold Standard" for workspace architecture.
Build predictive models, GenAI applications, AI agents, copilots, natural language analytics and domain specific assistants on trusted data foundations.
Design and implement scalable Lakehouse and modern data platforms using Databricks, Microsoft Fabric, Google Cloud, Azure, AWS, Delta Lake, BigQuery and Medallion Architecture.
Explore LakehouseMove from retrospective reporting to decision grade analytics through semantic models, Power BI, Looker, self service analytics, KPI frameworks and business ready data products.
Assess the current data estate, identify architectural constraints, define the target state and prioritise the roadmap for analytics, AI and enterprise decision making.
Embed governance through access control, lineage, quality, cataloguing, classification, ownership and certified data products using Unity Catalog, Microsoft Purview and Dataplex.
Support the operating model required to sustain value, including DevOps, FinOps, governance forums, platform optimisation, data quality monitoring and enablement.
Technology Ecosystem
Technology Platforms That Make
Data and AI Scalable
Decision Inc. works across the modern data and AI ecosystem, with capability across Microsoft, Databricks, Google Cloud, AWS and adjacent enterprise platforms.
Lakehouse architecture, data engineering, Delta Lake, Medallion Architecture, machine learning, AI workloads and scalable analytics.
Unified analytics, Lakehouse, data engineering, real time reporting and Microsoft native business consumption.
Cloud data platforms, analytics and AI using BigQuery, Vertex AI, Looker, Dataplex, Cloud Storage and Gemini enabled innovation patterns.
Cloud data platforms, AI services, scalable storage, modern application architectures and enterprise cloud modernisation.
Purview · Unity Catalog · Dataplex
Governance, lineage, access control, classification, compliance and trust across data and AI assets.
Power BI & Looker
Executive reporting, semantic models, self service analytics and governed business consumption.
Proven Outcomes
Proven Outcomes Across Complex
Data and AI Environments
Omnia
Lakehouse with Medallion Architecture on Databricks, automated pipelines, AI enablement, governance, certified data products, DevOps and FinOps.
Read Case Study 
NEOM
Modern Lakehouse based platform using Microsoft Fabric to unify data lakes and warehouses, improve governance and enable analytics and AI.
Read Case Study 
Henry Schein
AI powered customer support transformation using Salesforce Agentforce, MuleSoft, ProntoForms and Google Cloud.
Read Case Study Practical Steps
3 Practical Steps
to Accelerate Agentic
Each is fixed in scope, and each one is built on the platform you already own rather than beside it. Choose the statement closest to your organisation.
Which sounds most like you?
Proving Ground FDE Sprint
Forward Deployed Engineers building the missing layer alongside your team
Forward Deployed Engineering teams rapidly build the missing features of the platform that a business use case depends on.
Book thisLakehouse Assurance
Eight objectives across architecture, governance, security, cost and AI readiness
The full assurance and validation service, for when the foundation has to be right before anything goes on it.
Book thisMost clients at this step start with the mapping. It either produces a use case for the sprint, or exposes a foundation problem to fix first.
Technology Partners
Our Data & AI Technology Partners
Start With the Right Question
Assess Whether Your Data Estate
is Ready for AI
Most organisations ask which AI use case should be built first. A better question is whether the data estate is trusted, governed and scalable enough for AI to influence decisions. Decision Inc. will help identify where data fragmentation is limiting performance, which governance gaps create risk, which platform direction is appropriate and what roadmap will deliver measurable value fastest.