FOR ORGANISATIONS WHOSE REPORTING ISN'T TRUSTED YET
Fix the process behind your numbers. Then put AI to work.
We redesign how work flows, rebuild reporting on Microsoft Fabric and Power BI, and only then automate and apply AI, so decisions rest on numbers people trust.
BEFORE AI
AI on untrusted data
multiplies the problem.
The numbers are argued about.
Measures disagree, reports are rebuilt by hand, and meetings debate the figures instead of the decision.
The process is the cause.
Hand-offs, re-keying and rework create the errors that reporting later exposes.
Fix it in order.
Redesign the process, unify the data on Fabric and Power BI, then automate and apply AI with clear limits.
UNDERSTAND & REDESIGN
Business Process Improvement & Redesign
Find where work stalls, remove avoidable hand-offs and agree a better process before automating it.
UNIFY IN FABRIC & POWER BI
Microsoft Fabric, Data & Analytics
Bring data and reporting together, move safely to Fabric and improve Power BI performance.
AUTOMATE & APPLY AI
Automation, Applications & Applied AI
Connect systems, build practical applications, and build Copilot Studio agents and Microsoft Foundry solutions with clear limits and human oversight.
OUR METHODOLOGY
Eight steps from requirement to a result that holds.
01
Discover
Agree the outcome, the decisions and the requirements.
02
Current state
Map how the work and data flow today, with evidence.
03
Root causes
Find what drives the delay, rework or disagreeing numbers.
04
Approach
Agree the target design, scope and measures of success.
05
Build
Build the new process, report, automation or agent.
06
Optimise
Test at real volumes; tune speed, cost and usability.
07
Productionise
Release with managed deployment, monitoring and support.
08
Govern
Set owners, access and controls so it keeps working.
Each engagement uses the steps it needs: a reporting rebuild may start at Current state, an AI agent always ends with Govern.
INTERACTIVE POWER BI SAMPLE REPORTS
See the reporting before you commit to it.
Understand & Redesign
Request Journey & Hand-off Analytics
Unify in Fabric & Power BI
Sales, Returns & Buying Patterns
Unify in Fabric & Power BI
Fabric Migration & Estate Operations
Case Studies
Retention & Discharge Operations
Case Studies
Quality & Process Control
Automate & Apply AI
Automation Operations
FROM THE CASE STUDIES
What changed in practice
TEXTILE MANUFACTURER · CLIENT-REPORTED
7 → 3 days
Production lead time
With a documented AUD 350,000 net saving over 18 months.
AUSTRALIAN LENDER · CLIENT-REPORTED
AUD 14k → 3k
Monthly Fabric capacity cost
Capacity follows the workload instead of paying for peak all day.
CONSUMER-PRODUCTS MANUFACTURER
150+ → 1
Spreadsheets into one quality database
Inspection, traceability, assurance and analysis on one record.
HOW WE KEEP LEARNING
Research, checked before it informs delivery.
Specialist agents help us explore permitted sources and technical questions. People review the evidence before it informs a recommendation.
- Technical questions and permitted references guide specialist agents.
- Evidence is checked before findings join the knowledge graph.
- People review delivery options.
- Retained lessons prompt further research.
MANISH SHARMA · FOUNDER & PRINCIPAL ARCHITECT
Where does work get stuck,
or the numbers stop adding up?
Tell us. You work directly with the architect who designs the solution. We can start with a short review of where measures disagree and where the process breaks, then agree the order of work before any AI is scoped.