13:00 – 17:00
Six years inside the layer between AI, regulated workflows, and enterprise systems. We were already the answer before the question became urgent.
We watched financial institutions spend fortunes on digital delivery that was obsolete before it shipped. Every initiative: custom build, custom compliance, custom security review.
No reuse. No inheritance. No compounding.
Every institution we worked with faced the same problem. The cost of delivery was not coming down. The speed of delivery was not going up. And every time a new technology arrived, a new model, a new API standard, a new regulatory requirement, the cycle started again from zero.
We built Chameleon to change that. A governed execution layer that made change fast, safe, and reusable, regardless of the technology sitting underneath it. Not a tool. Not a platform in the loose sense of the word. Infrastructure. The kind that compounds in value over time and becomes more indispensable as the environment grows more complex.
Then the AI era arrived. And every problem we had spent six years solving turned out to be exactly the infrastructure regulated finance needed to run it safely. We did not pivot to AI. We were already the answer.
Ritesh Srivastava spent over 28 years inside the most complex technology programs in regulated finance, not observing them, not advising on them, but owning them. The kind where failure has a regulator's name on it.
Get to know Ritesh ↗Every institution I worked with had capable people and capable technology. What they lacked was infrastructure that made AI safe to run at the point where it matters, inside the regulated core.
Ritesh Srivastava, Founder & CEO
Before "AI governance" became a boardroom talking point, Ritesh was designing the execution layer that made it real, building the compliance inheritance, audit architecture, and agent orchestration logic that Chameleon runs on today. Not responding to the problem. Solving it years before the industry named it.
Oracle, Temenos, Tata, and tier-one financial institutions across Australia, New Zealand, and global markets. Full core banking migrations. Program rescues. Board-level digital transformations. Every pattern, every failure mode, every regulator question, absorbed firsthand and built into the platform.
Serial founder with a track record spanning the full spectrum of financial services technology: lending platforms, wealth systems, identity infrastructure, and payments. Chameleon is not a first bet. It is the product of everything that came before it, distilled into infrastructure that compounds.
Not in labs. Not in pilots. Inside live regulated institutions, with hard deadlines, real regulators, and real consequences.
Financial services digital delivery was broken by structural inefficiency, every initiative rebuilt from scratch, every compliance layer custom, every integration bespoke. We set out to own the layer that changed that.
First production deployments inside regulated financial services. Visual configuration surface live. Governed execution layer architecture established. Integration patterns built for core banking, payments, and KYC.
Chameleon operational across multiple regulated institutions in Australia and New Zealand. Integration library grows to cover Temenos, Finacle, payment rails, and open banking infrastructure.
AI agents, RAG knowledge layers, and model orchestration built into the execution layer. Governance applies to AI actions exactly as it applies to every other action. No new compliance architecture required.
Uniting Financial Services migrates from Temenos T24 to Infosys Finacle in 5 months. Industry norm: 18 months. AI agents running throughout. Zero compliance incidents. Millions saved.
Autonomous agent proliferation accelerates the exact problem Chameleon was built to solve. Institutions realise connectivity is not the challenge, governed execution is. We are the only platform built for this from the ground up.
Every decision is stress-tested against the hardest environment in financial services, live regulated production with real regulators watching. If it does not survive that, it does not ship.
We do not bolt compliance onto capability. We build governance into the execution layer so that every action, human or AI, is governed automatically from the first day of deployment, not designed in after the first incident.
Every integration pattern, governance framework, and AI orchestration logic we build for one client becomes cheaper and faster for the next. That is the business model and the competitive moat.
We have made the mistakes so our clients do not have to. The edge cases in legacy core integration. The compliance gaps that only surface in production. The token cost spirals. The audit trail failures. The model upgrade breaks.
We absorbed every one of those costs years ago. When you work with Chameleon, you inherit that knowledge, whether you build on the platform, build alongside us, or engage us as an advisory partner.
Temenos. Finacle. Core banking rails. Payment schemes. KYC and KYB flows. Open banking. We have integrated with them all, governed them all, and built AI on top of them all.
The edge cases in legacy API behaviour that only appear under load. The compliance gaps that custom builds miss. The integration patterns that look clean in development and collapse in production.
APRA and ASIC are forming expectations around AI governance right now. We have been anticipating those requirements for years. Our clients do not react to regulatory change, they inherit readiness.
Most institutions spend 12 to 18 months and millions just learning what we already know. That discovery cost disappears before your first sprint when you work with Chameleon.
Gen-AI for Lead Generation
Wed, Thu, Fri, Mon, Tue: 13:00 – 17:00