Data and AI systems. Better decisions. Faster work.

Fabric makes AI work for your business by connecting your data and expertise properly. We help your team unleash insights, accelerate everyday work, and use AI with confidence.

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Our approach

Understand the business. Build what matters.

We connect your business goals to the people, processes and systems behind them. Then we prioritize opportunities, build what helps and support your team through adoption.

01

Transformation diagnostic

Understand where change could create value. Map the work, assess readiness and weigh potential return against effort.

02

Build the foundations

Connect your data, infrastructure and business knowledge so people and AI can work from a shared understanding.

03

Transform workflows

Put AI and practical tools into everyday work. Automate useful tasks and give your people more room to think.

04

Enable and improve

Train the team, share the knowledge and establish a clear way to test, review and build on what works.

Transformation diagnostic

Step back. Find the opportunity.

Start with why the change matters. We map your people, processes and data, then prioritize opportunities by potential return, effort, readiness and dependencies. You get a clear roadmap for what to do first and what can wait. Already know the problem? We can begin there.

See how we work
Illustrative transformation diagnostic
PeopleRoles and ownership
mapped
WorkflowSteps and handoffs
mapped
DataAvailable sources
scoped
ToolsSystems and access
scoped
KnowledgeRules and procedures
reviewed
DecisionsApproval boundaries
reviewed
Diagnosticvalue+ effort
01Value
02Effort
03Ownership
04Next step
Prioritized roadmapValue, effort and ownership
01
Map priority workflowAgree value + owner
02
Capture business rulesReview shared knowledge
03
Connect required toolsScope access
04
Test a focused pilotValidate + improve

Data & knowledge

Trusted data. Usable knowledge.

We connect data and infrastructure with the business concepts behind them: what each record represents, how metrics are calculated and which sources to trust. A shared semantic model, documented knowledge and role-based access give your team and AI a clearer foundation for decisions, answers and action.

Explore the Premier case study
Demo Warehouse Agent
Thomas

"We implemented an AI chatbot with Fabric that queries our internal data warehouse via SQL, and the results exceeded expectations. It bridges complex data infrastructure with a simple, user-friendly experience and consistently delivers actionable insights."

Thomas Burgett
Head of Business Intelligence
Results
98.4%
Reduction in dashboard build time

Workflows & tools

Everyday AI. Meaningful work.

Give your people useful AI in the tools they work in, including ChatGPT Work and Claude Cowork. We build the plugins, skills, scripts, calculators, databases or interfaces the task needs. Shared procedures guide the work while leaving room for judgment, so automation supports people and adapts to real situations.

Work alongside the people doing the task. Capture the goals, procedures, exceptions and decisions, then choose where AI or a practical tool could make the work easier.

Demo · synthetic data
Estimating
Scanning for opportunities...
Daily scan

Found a warehouse retrofit bid due Friday with a strong prior-job match and fresh vendor pricing. Starting a priority estimating run.

Opportunity detectedWarehouse retrofit estimateStrong prior-job match · pricing coverage ready · medium win likelihood
Assembling bid packet
Assemble packet

I found the priority estimating workflow and packed the source material into one working context.

Priority workflowWarehouse retrofitKnown estimating workflow
Bid inviteDue FridayOwner requests base + alternates
Drawings42 sheetsArchitectural, structural, electrical
Scope notesDivision 07Roofing, insulation, flashing
Prior estimate2024 jobSimilar warehouse retrofit
Vendor pricing3 updatesMembrane, fasteners, labor
Reading drawings and scope notes
Extract context

I converted the attachments into estimate-ready facts and linked them to prior work.

Due dateFriday 5PM
Project typeWarehouse retrofit
Primary tradeRoofing membrane
Pricing baseline2024 retrofit job
Known riskElectrical allowance
Running takeoff and pricing checks
Human review

I paused on judgment calls instead of hiding uncertainty in the estimate.

Needs reviewConfirm membrane specUse 60 mil TPO baseline?
Needs reviewElectrical allowanceOwner-provided or contractor-held?
Needs reviewOptional roof drainsExclude from base bid?
Pricing line items and finalizing draft
Draft estimate
Base estimate$351K
DIV 07Roofing membrane$186K
DIV 05Structural misc.$74K
DIV 26Electrical allowance$91K
ALT 01Roof drain option$28K
Working draftOpen questions: 4Illustrative values
Ready for human reviewsource references attached
Finding best team members for review
Route for review

I’ve prepared the open questions for Estimating and Operations. The team can review the source references and resolve them before approving the estimate.

Human reviewMarcus Reed · EstimatingMembrane spec and exclusions
Human reviewElena Park · OperationsElectrical allowance and site constraints
Paused for estimator review and approval

Team enablement

Build capability that keeps growing.

Training turns new tools into everyday capability. Shared repositories hold the knowledge, procedures and code your team owns. People and AI can propose improvements; your team reviews and tests them before sharing the change. Each useful improvement becomes something everyone can build on.

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Reusable skills and shared procedures

Shared
knowledge

Reviewed
Reusable

Reusable skills

Reviewed
Tasks with clear steps

Shared procedures

Versioned
Approved approach

Business knowledge

Shared
Definitions and rules

Connected tools

Scoped
Access for the task
feedbacknew taskchangeshandoffevidencenew rulerequestsaccessreviewedskillsapprovedstepssharedrulesscopedtools
🎛️ FAQ

What teams usually ask first

Our philosophy

How to make AI work
in your organisation.

AI creates lasting value when people, technology, knowledge and workflows improve together.

Equip people

Next: Technology

Help people learn how to use AI

  • Show practical examples people recognize
  • Let teams experiment safely
  • Celebrate small wins
Four connected foundations for more capable teamsFour interdependent foundations: people on the left, technology at the bottom, knowledge on the right and workflows at the top. People: Help people learn how to use AI. Technology: Make the technology easy to use. Knowledge: Give AI the right data. Workflows: Build AI into how work gets done. Highlighted foundation: people. Connections enable: People use AI with confidence; AI uses the right business context; Trusted information guides action; People focus on work that matters. More capable teams sit at the intersection.Help peoplelearn how touse AIMake the technologyeasy to useGive AIthe right dataBuild AI into howwork gets donePeople use AIwith confidenceAI uses the rightbusiness contextTrusted informationguides actionPeople focus onwork that mattersMorecapableteams