AI Consulting · Technology · Microsoft Fabric
AI built into the way business works.
Sohentix is an AI-first technology and consulting company helping organizations transform software, data, operations, finance, marketing and customer experiences through artificial intelligence and modern technology.
Microsoft Fabric is one of our core enterprise practices — from architecture and migration to data engineering, governance, Power BI, AI agents and production delivery.
Flagship practice
Microsoft Fabric Consulting
Enterprise Fabric architecture. From strategy to production.
Sohentix designs, builds, modernizes and operationalizes Microsoft Fabric environments for organizations that need scalable, governed enterprise data platforms.
The practice covers the complete platform lifecycle — architecture, environment design, data engineering, migration, governance, CI/CD, semantic modelling, Power BI, AI and data agents, custom Fabric applications and operational handover.
- Platform Standup
- Platform Assessment
- Migration & Modernization
- Data Engineering
- Lakehouse Architecture
- Power BI
- Direct Lake
- Semantic Models
- CI/CD
- Security & Governance
- Real-Time Analytics
- AI & Data Agents
- Fabric Apps
- Enablement & Handover
Enterprise AI
AI across the enterprise.
AI creates the most value when it becomes part of the systems, processes and decisions that run the organization. Sohentix combines artificial intelligence, software engineering, data, automation and business expertise to move AI from experimentation into production.
AI & Data Agents
An agent is only as trustworthy as the model it is grounded in.
An agent pointed at ungoverned tables will answer confidently and wrongly. Conformed dimensions, documented measures, enforced row-level security and a verified Gold layer are what make an agent safe to put in front of an executive — so the architecture work is the prerequisite for the AI layer, not a separate track.
How we approach data agents01
Govern the model first
Conformed dimensions, documented measures and security enforced at the model.
02
Then ground the agent on it
The agent answers from the governed semantic model, inheriting its definitions and access rules.
03
Then surface it where people already work
Inside the reporting experience people already open, not as a separate chat tool.
How we work
From opportunity to production.
01
Discover
Identify the business problem, workflow, data, users, constraints and measurable outcome.
02
Architect
Define the system, data, security, integration, governance and operating model.
03
Build
Develop the software, data platform, automation, agent or integration.
04
Validate
Test functionality, data quality, security, performance and business requirements.
05
Deploy
Move through controlled environments into production by pipeline.
06
Operate & Enable
Document the solution, transfer knowledge, monitor and improve.
Two Fabric principles decide whether a platform holds up.
01
Processing and reporting live in separate workspaces.
A runaway transformation job should never be able to take business reporting offline. Separating the workloads means capacity pressure, deployment and failure are contained on one side of the boundary and invisible on the other.
02
Development is authored in Dev and committed out of it. UAT and Production are only ever written into.
Every environment is defined by exactly one branch, and the release pipeline is the only writer downstream. Nothing reaches Production that did not first exist as a reviewed commit, so the repository is always an accurate description of what is running.
Delivery
Spec-driven delivery
The difference between a platform and an accumulation of artefacts is whether someone wrote down what was supposed to happen first.
Read the standard01
Work begins as a written spec
Not as an item created in a workspace. The spec states the outcome, the interfaces and the acceptance checks before anything is built.
02
Every environment is defined by its branch
Environment configuration is code. What differs between Dev, UAT and Production is a parameter file, not a memory.
03
Nothing ships unverified
Each change carries the checks that prove it. If the verification cannot be written down, the change is not ready to promote.
Case study
Standing up a governed Fabric platform, project code PROJ
An anonymised account of the starting position, the constraints, the architecture we set and what the internal team owned at the end.
Read the case studyIndustries
Technology capabilities that apply across sectors.
- Financial Services
- Healthcare & Life Sciences
- Retail & Consumer
- Manufacturing
- Real Estate
- Hospitality
- Professional Services
- Technology & SaaS
- Startups & Growth Companies
- Public Sector
What could AI change inside your organization?
Whether you're modernizing an enterprise data platform, building software, deploying AI agents or automating a business process, Sohentix can help move the work from concept to production.