An AI-first consulting and solutions firm taking insurers, banks and logistics enterprises from investment to operational results.
Our perspective
The constraint is no longer the technology, nor the ambition behind it. It is the discipline to carry a working model from experiment into production, under real controls, at real scale.
Delivery is our craft.
The film
Consulting & transformation
We help executive teams decide where machine learning should — and should not — be applied, then design, engineer and run what follows with the controls regulated industries require.
Much of our work begins here, with initiatives already under way. Most stalled pilots can be made to work.
Proprietary solutions
Our solutions automate and optimise core domain operations. They run inside your environment, under your controls, alongside the systems already in place — on a licence or subscription basis.
Industries
We go deep where decisions are regulated, documents are heavy and timing sets the cost.
Claims inflation, rising expectations on settlement speed and regulators attentive to automated decisions put margins under pressure. We apply machine learning to claims, underwriting and policy operations, with full auditability.
Measured against
Insurance supervisors are now drafting the sector's first formal AI governance frameworks.
Where we work in the value chain
Banks balance growth against cost-to-income while obligations in financial crime, credit and conduct keep expanding. We work within model-risk frameworks that satisfy the supervisors of each market we serve.
Measured against
Supervisors are moving: central banks are publishing frameworks, guidelines and guidance notes on responsible AI and machine learning.
Where we work in the value chain
Operators run on thin margins across networks that are volatile by nature: demand swings, capacity constraints, asset downtime and documentation across borders. We work where decision quality and timing set the cost of every movement.
Measured against
Where we work in the value chain
How we deliver
Ingenisis was built for the economics of modern delivery rather than adapted to them.
AI-native delivery pods: five-person, augmented teams organised around a single outcome.
Fees structured against the business result agreed at the outset, not the effort consumed in reaching it.
Experienced practitioners lead every engagement and remain accountable through to production.
Every engagement adds to a shared library, and every build after it starts further ahead.
About Ingenisis
Ingenisis was founded on a single conviction: the gap between enterprise investment and enterprise results is a delivery problem.
From hubs in India, Southeast Asia and the Gulf, we serve insurance, banking and logistics enterprises across the Americas, EMEA and APAC.
Insights
Point-of-view papers and benchmarks on putting machine learning to work in the industries we serve.
Insurance
Which parts of the claims value chain can now be carried end to end, and what supervisors will expect in return.
Banking & Financial Services
How leading institutions are adapting model-risk frameworks for generative and agentic systems, market by market.
Logistics
Why most logistics models stop at dashboards, and what it takes to move them into the decisions that cost money.
Connect
We welcome a conversation about where AI stands in your organisation, and where it could stand.