ONE LOGIC / FOR CTOs & IT LEADERS

Data. Analytics.
Applied AI.

Microsoft Fabric and Foundry expertise to move your priorities into delivery.

Extend your team with experienced data, analytics and AI specialists, with principal involvement from architecture through implementation. Start with the business decision, then build the information and capabilities it needs.

FROM SOURCE INFORMATION TO BUSINESS USE

01 / DATA FOUNDATIONMicrosoft Fabric

Ingestion · OneLake · Lakehouse / Warehouse

02 / SHARED UNDERSTANDINGAnalytics & Power BI

Semantic models · Measures · Management reporting

03 / APPLIED INTELLIGENCEMicrosoft Foundry

Grounded AI · Workflow assistance · Evaluation

Illustrative patterns, selected for your workload.
Identity · Quality · Delivery · Operating cost

SPECIALIST CAPACITY, PRINCIPAL INVOLVEMENT

Strengthen the team. Move the work forward.

Bring us the priority your team needs to deliver: a Fabric data foundation, dependable Power BI reporting, or an applied AI workflow built with Foundry. We contribute architecture and hands-on engineering alongside your business and IT teams.

Engage expertise for a defined workstream or continuing delivery support. Together, we agree the skills, responsibilities, capacity and timing your engagement needs. Your existing systems, security requirements and operating model shape the solution.

THREE CONNECTED AREAS OF EXPERTISE

The technical depth behind better business decisions.

The same priorities that guide our consulting—clearer performance, operational visibility and informed action—carried through into architecture, implementation and acceptance.

01

Data engineering on Microsoft Fabric

A dependable path from source systems to usable data.

Connect operational and financial data without losing the meaning of the source. Establish ownership, identifiers, grain and freshness before choosing the ingestion and storage pattern.

Architecture decisions
OneLake and Lakehouse or Warehouse fit; SQL and Spark transformations; batch or incremental ingestion; source load, schema changes and deletion handling.
What we build
Source-to-target mappings, orchestrated pipelines, curated data layers, reconciliation checks and repeatable deployment assets.
How we validate
Reconcile totals to authoritative systems, test replay and duplicate handling, surface quality exceptions and measure refresh time and capacity consumption.
02

Analytics, Power BI & semantic models

Shared definitions that business leaders can act on.

Turn disconnected reports into a governed management view. Work with business and finance owners to agree what each measure means, how it is calculated and which decisions it supports.

Architecture decisions
Fact and dimension grain, relationships and shared DAX measures; Import, DirectQuery or Direct Lake according to workload; refresh, concurrency and capacity.
What we build
Reusable semantic models, management dashboards, financial and operational reporting, documented business definitions and role-based access.
How we validate
Reconcile margin, cost and performance measures; test row-level access with representative users; profile slow queries and verify the reporting experience with decision makers.
03

Applied AI with Microsoft Foundry

Useful AI grounded in a specific business workflow.

Move from an interesting demonstration to a bounded task: finding permitted information, extracting structured data, drafting a response or assisting an operational decision. Define success and the human review point before implementation.

Architecture decisions
Model selection in Microsoft Foundry; retrieval and grounding over permitted sources; tool/API boundaries; identity, processing location, latency and consumption cost.
What we build
Workflow prototypes and agreed production increments, retrieval pipelines, structured-output validation, evaluation datasets and integration with existing applications.
How we validate
Test relevance, grounding, missing evidence and unauthorized requests. Enforce permissions outside the model, monitor usage and require human approval for consequential actions.

ENGINEERING FOR DAILY USE

Ready for the people who will operate it.

A working solution needs clear ownership and a sustainable operating model. We agree these requirements with your team as part of the delivery scope.

Identity & access

Client identity, least privilege, service identities and secrets management. Agree permissions at the source, data, semantic and application layers.

Quality & observability

Reconciliation, freshness and failure signals with named owners. Define how data exceptions and AI quality issues are investigated.

Release & handover

Versioned code and configuration, separated environments and agreed deployment approvals. Deliver operating documentation and knowledge transfer.

Capacity & cost

Test representative workloads. Make Fabric capacity, model consumption, licensing and ongoing operating responsibilities visible before scaling.

THE SAME CONSULTING PATH, WITH TECHNICAL DEPTH

Choose the support your priority needs.

Decide where to invest

Assessment

Resolve the architecture and delivery questions: current state, source and access constraints, feasibility, options and a prioritized next step.

Solve a defined information problem

Enablement

Deliver a defined data, analytics or AI improvement, with agreed acceptance criteria, implementation, validation and handover.

Build on progress over time

Partnership

Add continuing specialist capacity and principal guidance to progress an agreed roadmap alongside your team.

Scope, fees, skills, availability and responsibilities are agreed before paid work begins.

WHERE INFORMATION NEEDS OPERATIONAL FOLLOW-THROUGH

OLS360, a One Logic product.

When a priority also needs operational records, workflow, approvals and accountability, we can evaluate OLS360 as a complementary layer alongside ERP, analytics and document systems.

Product fit, integration, configuration and licensing are assessed for the specific implementation.

Explore OLS360

START WITH YOUR DELIVERY PRIORITY

Where does your team need more depth or capacity?

Tell us what you need to deliver, your current data and Microsoft environment, and the skills or capacity you need. We’ll use that context to discuss an appropriate starting point.

Talk to One Logic

A few sentences are enough to begin. Share confidential architecture and data only through an agreed channel.

Meet our principals