Deliver AI projects that reach production — and pay back.
Sazo.AI provides senior project, program and product delivery leadership for GenAI, agentic AI and machine learning initiatives — from use-case selection and vendor contracts to production rollout and measurable value.
Delivery Disciplines
Project management built for AI, GenAI and ML delivery.
AI initiatives fail on delivery more often than on technology. We bring proven program discipline to the parts that are unique to AI — data, models, vendors, risk and adoption.
AI Program & Project Delivery
End-to-end leadership of GenAI, agentic AI and ML programmes — scope, plan, budget, risk and release management, with experience running portfolios up to USD 15M+.
GenAI & LLM Solution Delivery
Delivering LLM, RAG, enterprise search and agentic AI solutions on cloud AI platforms such as AWS Bedrock and Databricks — from proof of concept to production.
Traditional AI, ML & Data Platforms
Delivery of machine learning and data science solutions — credit-risk and audit risk models, real-time analytics and enterprise data platforms — including model lifecycle management.
AI Product Ownership & Roadmaps
Product vision, roadmap and backlog for enterprise AI platforms and use cases. Certified ScrumMaster-led Agile delivery, coaching and team enablement.
Vendor, Partner & Contract Management
Vendor selection, contract negotiation, total cost of ownership and strategic technology partnerships across AI platforms and service providers.
Use-case Selection & Business Cases
Identify, evaluate and prioritise AI use cases with clear success metrics, ROI and TCO — so pilots are funded for value and don’t stall in pilot purgatory.
A clear path from AI idea to AI in production.
Methodology-agnostic and outcome-focused — Agile, Waterfall or hybrid, whichever fits your organisation and the risk of the work.
Frame
Define the use case, business case, success metrics, stakeholders and constraints before a line of code is written.
→Plan
Scope, roadmap, budget, team and vendor strategy, with risk, data and governance requirements built into the plan.
→Deliver
Iterative delivery with clear milestones, model evaluation, stakeholder reporting and managed change across teams and locations.
→Scale
Production rollout, monitoring, handover and value tracking — so benefits are measured and the next use case is faster.
→AI delivery experience across banking, insurance and telecom.
Outcomes delivered by our principal consultant in prior leadership roles.
GenAI Enterprise Search — DBS Bank
Delivered the bank’s first GenAI-enabled Enterprise Search platform using LLMs and Retrieval-Augmented Generation, within a USD 15M+ enterprise programme.
First Production AI/ML — DBS Bank
Delivered the bank’s first AI/ML solution into production (credit risk assessment), plus real-time operational analytics.
AI-enabled Audit Platform — DBS Bank
Designed and delivered the Group Audit Platform with an AI-enabled Auditor Workbench; automated risk assessment cut audit processing effort by about 30%.
Enterprise AI Platform — Suncorp Group
Product ownership of an enterprise AI platform: foundation-model onboarding on AWS Bedrock and Databricks, Agentic AI enablement and technology vendor partnerships.
Global Banking Delivery — Credit Suisse & Standard Chartered
Securities operations and regulatory reporting platforms. Platform simplification reduced total cost of ownership by around 25%; recipient of the Credit Suisse Pegasus Award for IT Project Delivery.
Telecom Billing Migrations — TCS & IBM
Led nationwide billing-system migrations for Saudi Telecom and BSNL, managing teams of 40+ developers across multiple locations.
How ready is your organisation to deliver AI projects?
Answer 5 quick questions for an instant delivery-readiness score and tailored next steps.
Led by a delivery leader who has shipped AI into production.
Sazo.AI is led by Shailendra Malik, a PMP- and CSM-certified technology program leader with 20+ years of experience delivering complex programmes for global banks, insurers and telecommunications providers across India, Singapore, Saudi Arabia and Australia.
He delivered DBS Bank’s first production AI/ML solution, its first GenAI-enabled Enterprise Search platform and an AI-enabled Group Audit Platform, and most recently led enterprise AI platform enablement and Agentic AI adoption at Suncorp Group.
Shailendra leads the PMI Melbourne Chapter’s AI in Project Management Special Interest Group, is a contributing author to Wiley’s The AI Book, hosts The Agile Podcast, and speaks regularly on AI delivery, Agile and product management.
Built for teams delivering AI under real constraints.
Banks & Financial Services
Regulated environments where delivery, audit and risk controls must hold up from day one.
Insurers
Enterprise AI platform enablement, claims and operations use cases, and vendor ecosystems.
Telecom & Enterprise IT
Large multi-site programmes, migrations and platform modernisation with distributed teams.
AI Product Teams & Startups
Fractional program leadership to move from prototype to a dependable, supportable product.
Delivery leadership that has built it, run it and funded it.
Delivered, not just advised
Career path from developer to SVP program lead — we understand how AI systems are actually built and shipped.
GenAI and traditional ML
Hands-on across credit-risk ML, data platforms, LLM and RAG solutions and agentic AI.
Method-agnostic
PMP and Scrum-certified: Waterfall, Agile or hybrid, chosen to suit the work and your organisation.
Executive-ready
Roadmaps, business cases and status reporting that win budget and milestone endorsement.
Vendor-smart
Contract negotiation, TCO and partnership management across AI platforms and suppliers.
Governance built in
Responsible AI and AI risk considered throughout delivery, backed by dedicated AI governance advisory.
Need AI governance, risk audits or training workshops?
Explore AI Governance →Common questions, answered.
How is managing an AI project different from a normal IT project?
AI work adds uncertainty in data quality, model behaviour, vendor dependency and adoption. We keep standard program discipline, then add use-case validation, model evaluation, data readiness and risk checkpoints.
Do you work on both GenAI and traditional machine learning?
Yes. Experience spans credit-risk and audit ML models, enterprise data platforms, and LLM, RAG and agentic AI solutions.
Can you take over a stalled AI pilot?
Yes. We review scope, data, vendors and stakeholder alignment, reset the plan and define a realistic path to production or an informed stop decision.
Do you work on an ongoing basis or per project?
Both: fixed-scope assessments and delivery plans, interim program leadership, or a lighter-touch advisory retainer.
Do you also provide AI governance?
Yes. AI governance, risk and ethics audits, and training workshops are offered separately; see the AI Governance page.
Let’s talk about your AI delivery challenges.
Tell us about your AI initiative, program or stalled pilot — we’ll follow up within one business day to schedule your free initial consultation.