Applied AI for regulated enterprises — from strategy to production.
We help banks, government and public-sector organisations, super funds, healthcare providers, and data-intensive enterprises design, build, govern, and scale AI systems safely — beyond experimentation, into secure production.
What we do for you
Target the opportunities that create real value — and rule out the ones that won't.
Engineered on a governed, enterprise-grade stack — not left stuck in pilot.
Auditable controls and guardrails across the entire AI lifecycle.
Most enterprises don't have an AI ideas problem. They have an execution problem.
Pilots stall because the data isn't ready, the risks are unclear, governance is immature, and adoption is weak. We help you pick the right use cases, build the right foundations, and deploy AI that's secure, auditable, and genuinely used.
AI pilots stuck in experimentation
We move priority use cases into secure production.
Data that isn't AI-ready
We build governed data foundations AI can actually run on.
Risk & compliance concerns
We design audit-ready AI controls and guardrails.
Low adoption after go-live
We embed AI into real workflows so teams keep using it.
The full path — from the right strategy to AI running in production.
We partner with organisations across their AI journey: defining the right strategy, building secure and scalable solutions, and operating them for lasting impact.
Define the right path
Target the highest-value use cases and de-risk the roadmap before you build.
- AI Strategy & RoadmapPrioritise use cases for measurable impact.
- AI Readiness AssessmentStrategy sprints that target real value, fast.
- Governance & Risk FrameworkResponsible AI, policy-aligned from day one.
Build with confidence
Engineer secure, scalable AI on a single, deliberately chosen stack.
- Generative AI & LLM SolutionsAutomate work and enhance decisions.
- Custom AI Software & ProductsBespoke, cloud-native, built to scale.
- Data Engineering & PlatformsModern foundations that power AI at scale.
Run and scale with confidence
Deploy, govern, and embed capability so value lasts beyond go-live.
- Cloud ArchitectureSecure, cost-optimised AWS & Azure.
- Compliance TechnologyStreamline obligations, strengthen readiness.
- Change & AdoptionUpskill people; embed AI into ways of working.
A defined method — every engagement scoped, governed, and delivered to enterprise standards.
Six deliberate stages, each with a clear outcome. Security by design and governance first, embedded throughout.
Discover
Understand your business, data, challenges, and opportunities.
Design
Define solution approach, data strategy, architecture, and operating model.
Build
Engineer and integrate AI on a secure, scalable enterprise platform.
Govern
Establish governance, risk controls, and guardrails for responsible AI.
Deploy
Ship to production with robust testing, monitoring, and change management.
Scale
Embed AI into everyday work, upskill your people, and grow adoption.
Four ways we help regulated enterprises deploy AI safely.
Focused capability, delivered end to end. Deeper engagements — custom products, cloud, and BPO — build on these foundations.
AI Strategy & Readiness
We find the highest-value use cases, assess your readiness, and shape a practical roadmap.
Agentic AI & Enterprise Copilots
Agents and copilots for real workflows — with guardrails, approvals, and audit trails.
Data Engineering for AI
Governed data foundations on Databricks — the platform production AI actually runs on.
AI Governance & Assurance
Controls, model-risk policies, and guardrails aligned to APRA, AUSTRAC, and the Privacy Act.
OneJuly Compliance
AML & CTF onboarding and compliance automation for the AUSTRAC Tranche 2 reforms — KYC, KYB, sanctions and PEP screening, and a defensible audit trail in one product.
Specialist focus — without big-firm overhead.
We're not a generalist technology consultancy. We're a specialist Applied AI firm for regulated organisations — senior attention, delivery through to production, and enterprise-grade controls, without big-firm overhead.
Where accuracy, security, and compliance are mission-critical.
We partner with organisations in highly regulated and data-intensive industries — and we speak their regulatory language.
Banking & Financial Services
Strengthen trust, manage risk, and improve customer outcomes.
- AML/CTF & KYC automation
- Fraud detection
- Credit risk & underwriting
- Regulatory reporting
Superannuation & Wealth
Enhance member outcomes and operational efficiency at scale.
- Member engagement
- Investment analytics
- Data platform modernisation
- Compliance monitoring
Government & Public Sector
Modernise services, improve outcomes, and build citizen trust.
- Citizen services & case management
- Secure data governance
- Predictive analytics for policy
- Operational automation
Healthcare & Life Sciences
Improve patient outcomes and accelerate innovation with trusted data.
- Clinical data integration
- AI for diagnostics & decision support
- Research data platforms
- Operations & research
Retail & Consumer
Deliver personalised experiences and smarter operations.
- Customer 360 & insights
- Demand forecasting
- Dynamic pricing
- AI-powered search & recommendations
Professional Services
Increase productivity, manage risk, and deliver client value.
- Knowledge management & AI assistants
- Document intelligence
- Risk & compliance monitoring
- Client insights
A few examples of work we've delivered.
Each engagement was scoped, governed, and delivered to enterprise standards — with Anthropic Claude and Databricks at the core.
Data platform & CRM modernisation
Customer and service data was fragmented and hard to report on — under strict government security and data-residency standards.
A governed Medallion data platform and unified CRM model, with production pipelines and data quality built into every layer.
Enterprise agent platform
Senior time was lost to repeatable, judgement-light work across decisions, content, and coordination.
A set of enterprise agents with approval gates, human-in-the-loop on anything material, and a full audit trail.
Hybrid forecasting platform
The client needed forecasting on sensitive operational data — without moving it off premises into the cloud.
A hybrid architecture: system of record on-prem, a secure application layer on AWS, and ML forecasting on ephemeral compute.
Outcomes your leadership team can measure.
One deliberately chosen stack — so our team holds genuine depth.
Our partnerships give clients partner resources and early access to new capability. One stack means deeper expertise, faster delivery, and fewer integration risks.
AWS & Microsoft Azure
Scalable, secure cloud foundations to build and run with confidence.
FoundationAnthropic Claude
Our core LLM partner — we build on Claude, with early access to new capability.
PartnerDatabricks Lakehouse
Unified data and AI platform for governed data, analytics, and ML at enterprise scale.
PartnerSpecialist delivery, senior accountability — without big-firm overhead.
Bhalekar Consulting is a founder-led specialist consultancy. Every engagement combines senior Australian accountability with a curated specialist network across AI, data, cloud, product, and governance — shaped around your business goals, risk profile, and production-readiness.
An enterprise data and AI leader with 20+ years across global banking, superannuation, and government — including senior roles at Bank of America, National Australia Bank, AustralianSuper, and the Victorian Department of Health.
Australian-founded. Globally capable. Enterprise accountable.
An Australian-owned Applied AI consultancy headquartered in Melbourne, supporting regulated and data-intensive organisations across Australian and international markets — local accountability with global delivery capability.
Not every AI idea deserves investment.
In 30 focused minutes, we'll help you identify where AI can create real value for your organisation — where the risks are — and what a practical first production use case could look like.
No sales pressure. You'll leave with a clear view of whether there's a practical AI opportunity worth pursuing — and where AI should not be used.