01
Method
We map the actual workflow — Oracle EBS to spreadsheet to email to ServiceNow — and rebuild it as a single governed flow. No greenfield. No re-platform. The existing systems of record stay authoritative.
ABOUT KAIZEN AI
The operating layer between AI ambition and audit-ready execution.
Kaizen AI is the operating layer between AI ambition and audit-ready enterprise execution. We work with CFOs, CIOs, and COOs at Oracle-heavy organizations — EBS, JDE, PeopleSoft, Fusion Cloud, NetSuite, Hyperion — to install governed agentic AI inside the workflows that already run the business.
Oracle ERP expertise25+ years
Systems coveredEBS · Fusion · NetSuite · PeopleSoft · JDE · Hyperion
IndustriesManufacturing · Utilities · Industrial
Partner statusOracle Partner · ServiceNow Tech Partner
3M+ OPERATING PHILOSOPHY
Method. Measure. Momentum.
Three disciplines that separate a governed agent from a clever script — and the spine of every Kaizen engagement.
02
Measure
Every action carries an audit ID. Approval thresholds, escalation paths, and rollback windows are encoded as policy. Finance and Audit see the same trail the agent sees.
03
Momentum
Production readiness from day one. We ship agents that hold under SOX, ITIL, and real volume. If it can't be rolled back, escalated, or explained, it doesn't leave the governance layer.
LEADERSHIP & ADVISORS
The team behind Kaizen AI.
A senior team spanning enterprise architecture, Oracle operations, AI engineering, and customer strategy — each accountable for a part of how we take clients from fragmented systems to governed enterprise execution.
The Enterprise Transformation Architect
Harish Mishra
Founder & Chief Enterprise Architect
“Helping organizations transform ERP systems into decision systems and AI into measurable business outcomes.”
Two decades bridging executive strategy, Oracle, supply chain, AI, and business transformation. The connective tissue between business value and enterprise execution.
The Operating Model Builder
Ajith Daniel
Chief Operating Officer
“Designing operating models that transform strategy into repeatable execution.”
Executive operations leadership across organizational scaling, delivery, and execution discipline. Owns the operating model that turns Kaizen engagements into repeatable client outcomes.
The AI Engineering Leader
Vish (Teertha) Tella
Chief AI Officer
“Building practical AI systems that move organizations from experimentation to enterprise adoption.”
Deep AI technical credibility anchor. Leads agent architecture, evaluation, and the engineering practice behind every production KAI-OS deployment.
The Customer Experience Strategist
Arun Bais
Head of Customer Experience
“Designing the customer experience layer that turns AI capability into adoption and measurable business impact.”
Owns the customer experience discipline across Kaizen — journey design, usability, and adoption mechanics — so every agent we deploy lands cleanly with the people who actually use it.
The Customer Strategy Lead
Sunaina Jain
Head of Customer Strategy
“Orchestrating how Kaizen engages, sequences, and grows customer relationships through every phase of transformation.”
Anchors customer strategy and account orchestration across the firm — engagement structure, customer success motion, and the operating cadence that keeps every Kaizen relationship moving forward.
The Next-Generation Innovation Leader
Kabir Chawla
Digital Innovation Lead
“Bringing emerging technology perspectives and next-generation thinking to enterprise transformation.”
The forward signal on the council — emerging models, new interaction patterns, and the next wave of enterprise AI brought into Kaizen's delivery model.
Strategic Advisors
Industry veterans who guide Kaizen on Oracle, finance, supply chain, and AI governance:
- Former Oracle Applications SVP — product strategy across EBS, JDE, and Fusion
- Former CFO, Fortune 100 manufacturer — controllership and SOX governance
- Former CIO, global healthcare system — Oracle Fusion + Hyperion transformation
- AI safety researcher — agent evaluation, alignment, and governance
Expert Network
A vetted bench of specialists Kaizen activates by engagement — never staff augmentation, always governed delivery:
- Oracle specialists across EBS, Fusion, NetSuite, PeopleSoft, and JD Edwards
- Data architects for lakehouse, warehouse, and Oracle metadata
- AI engineers for agent design, evaluation, and observability
- Change management practitioners for adoption, training, and resistance
Credentials & posture
- Oracle Partner — Cloud Applications and ERP (active)
- ServiceNow Technology Partner
- SOC 2 Type II — controls program in progress
- ITIL and SOX-aligned change governance built into every engagement
DELIVERY METHODOLOGY
A 12-week path from assessment to production agent.
The Kaizen 3M+ delivery methodology sequences discovery, design, build, and enablement so the first governed agent ships inside a quarter — and the next ten reuse the same scaffold.
Discover
Weeks 1–2
3M+ Readiness Assessment: scored map of Method, Measure, and Momentum gaps across the candidate workflow and the Oracle estate.
Design
Weeks 3–4
Operating model, governance architecture, policy-as-code primitives, and first-agent design brief — signed off by the tripartite ownership team.
Build
Weeks 5–10
First production agent shipped against the governance scaffold. Audit trail, rollback, and approval matrix in place from day one.
Enable
Weeks 11+
Scaffold reuse across the next 3–10 agents. Managed AI enablement transitions the agent lifecycle to the client's AI operations function.
SECURITY & GOVERNANCE POSTURE
Designed for SOX, ITIL, and the regulator in the room.
Six commitments that hold across every Kaizen engagement, codified into policy-as-code and the agent operating model.
Policy-as-code for every approval threshold, SoD rule, and rollback window
Stable audit ID on every action; SOX- and ITIL-aligned evidence on demand
Tripartite ownership: business sponsor, Oracle application owner, AI ops lead
Reversibility commitment: no action ships without an explicit undo plan
Drift monitoring with auto-pause on KPI regression
Service-account identity bound to Oracle responsibility — never personal credentials
WHY KAIZEN AI
The firm purpose-built to turn Oracle AI ambition into governed Momentum.
Most AI consulting firms ship slideware. Most AI product firms ship demos. Kaizen AI ships governed agents that hold up under audit, on the Oracle estate you already run.