Not a consultancy with a bench of juniors. One deeply experienced architect who has done this work for 15+ years and still writes the code.
ProcessBI was founded by Manish Sharma after 15+ years delivering enterprise data, analytics, and AI projects for major Australian organisations across financial services, government, energy, and manufacturing.
The name says it: Process + BI. Sustainable data platforms require both — business intelligence without sound data processes fails, and data processes without actionable intelligence wastes everyone's time. Every engagement connects both sides.
In 2024, ProcessBI became an AI-native operation with the launch of the AI Research Engine — an internal multi-agent AI infrastructure where 12 autonomous agents run continuously: researching markets, compounding knowledge, generating proposals, and monitoring the competitive landscape. The same patterns we deploy for clients, running our own business.
ProcessBI operates lean: one senior architect, trusted specialist partners, no overhead, no bench costs. Clients get direct access to the person doing the work — not a relationship manager passing notes to a junior team.
Deployed 12 autonomous AI agents for market research, proposal generation, and knowledge compounding. Re-structured ProcessBI as an AI-native consultancy. Shipped production fraud detection for a major Australian financial services institution.
Among Australia's earliest Fabric practitioners — completing three major migrations (ASX-listed energy, global manufacturing, and NSW State Government) before Fabric reached GA. Established the medallion architecture and Direct Lake migration methodology used across all subsequent projects.
Large-scale government analytics delivery: emergency services volunteer operations platform, major metropolitan rail network Synapse to Databricks migration, and superannuation RTI platform. Complex multi-domain data estates (HR, Finance, Operations) across Oracle and SAP sources.
Deep Power BI specialisation — complex DAX, enterprise security, and semantic model architecture. Azure Synapse and SQL DWH delivery for manufacturing and financial services. Introduction of Analytics Creator for automated DWH generation.
SSRS, SSIS, SSAS Tabular, SQL Server, on-premises BI stack. ETL pipeline design, dimensional modelling (Kimball), and executive dashboard delivery across manufacturing, retail, and professional services sectors.
Deep hands-on experience across the Microsoft ecosystem, backed by continuous professional development and training across all major Microsoft data and AI platforms.
Globally recognised by Kepner-Tregoe for our work applying their data-driven root-cause methodology — turning rigorous problem analysis into a repeatable, measurable practice for our clients.
A Power BI dashboard is not a deliverable — reduced reporting cycle time, freed analyst hours, and caught fraud are. Every engagement is scoped to a business outcome with a measurable metric attached. If we can't define success before we start, we don't start.
No vendor allegiances. Fabric is not always the answer. Snowflake is sometimes right. Sometimes you don't need ML at all. The first thing I do in any engagement is challenge the existing assumptions — not validate them. Honest architecture assessments, even when they're uncomfortable.
Every line of code, every design decision, every client meeting — handled at principal level. No juniors learning on your budget, no handoffs mid-project. When you brief me, I'm the one building it. Small team, zero dilution.
The AI Research Engine isn't a marketing story — it's how ProcessBI runs. 12 AI agents do the research, analysis, and content work that used to take days. This gives clients access to higher-quality strategic thinking, faster, at lower cost. We eat our own cooking.
The goal is a client team that can maintain what we build, not perpetual reliance on ProcessBI. Every engagement includes architecture documentation, runbooks, and — where useful — developer training. Your capability grows; the relationship evolves to higher-value work.
APRA CPS 234, RG271, Privacy Act, and the specific regulatory environment of Australian financial services, government, and utilities. No need to translate global frameworks — we know the Australian compliance landscape and build it in from day one.
The autonomous intelligence layer powering ProcessBI around the clock. Continuously researching, synthesising, and compounding knowledge — so every client engagement starts with deeper insight than the last.
No account managers. No junior hand-offs. Direct access to Manish Sani — the practitioner who designs, builds, and is accountable for every deliverable.
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