Make AI pay off, and be able to show it is safe and compliant.
We help leaders, investors and compliance teams measure what AI is worth with the risks taken out, and keep it compliant with ethics reviews, AI testing and governance. Compliance workflows run on TheDex, and your people train on Alset.
Two practices that work as one
Compliance problems are a cost, so they belong in your AI numbers. Good governance makes that cost smaller, so it shows up as value.
AI value
Find where AI pays off and where it costs you. Set financial goals, choose the uses worth doing, and track net AI value with the risks subtracted.
- AI maturity score across six areas
- Financial goals and a ranked list of AI uses
- Net AI value, tracked every quarter
AI compliance
Use and build AI safely, and be able to show it. We review ethics and bias, test your AI systems, and set up governance, with the evidence kept on TheDex.
- Ethics and bias reviews
- AI testing: evals, guardrails and prompt injection
- Governance and GRC workflows on TheDex
Most AI business cases count the gains and leave out the costs of mistakes
A typical case adds up the time AI saves and subtracts what it costs to run. It leaves out a third line, which we call the risk drag:
- Time spent checking and fixing AI mistakes
- Compliance, legal and security exposure
- AI licences and tools that people pay for but do not use
We subtract it, so the number you report is one your finance team can defend. Raising your AI maturity shrinks the drag, which is why training and governance show up as value, not only cost.
Ethics, testing and governance, with the evidence to show for it
If your AI is used in the EU, the AI Act already expects your staff to be AI literate, and stricter rules for high-risk AI, such as AI that screens job applicants, apply from 02-Dec-2027. We help you meet the rules that apply to you and keep the proof.
Ethics and bias
We test the AI that makes decisions about people, such as hiring screens and customer scoring, for unfair results. You get the cause, the fix and a bias report.
Evaluation and testing
We build test sets and release checks for your AI, test it against prompt injection, and measure what each guardrail catches and what it wrongly blocks.
Governance
We list the AI you use and build, sort it by risk, work out your role under the EU AI Act, and write the policies and controls, aligned to ISO/IEC 42001 and the NIST AI RMF.
GRC on TheDex
Your controls, owners, reviews and evidence live in TheDex, the platform we use for compliance workflows, so the evidence stays up to date between audits.
Compliance evidence that stays up to date
TheDex is the platform we use to run compliance workflows. It reads the logs your systems already produce, so your evidence is current every day instead of collected in a rush before each audit.
Evidence from your own systems
For each requirement, TheDex shows what your logs already prove, what is partly covered, and what still needs a person to confirm.
Owners, reviews and records
Each control has an owner and a review date. Every review is recorded for its audit period, kept unchanged, and can be exported for an auditor.
The AI your people really use
TheDex can see the AI tools in use across your network, which gives your AI inventory a starting point you can trust.
Five steps, repeated every quarter
We call this the Value Realization Framework. It covers both practices. Run once, it tells you where you stand. Run every quarter, it shows the change.
Fingerprint
Score six areas of your company and find where you are weakest.
Aim
Agree the financial goals for the next quarter, the next year and beyond.
Architect
Choose the AI uses worth doing, and the controls and tests each one needs.
Activate
Roll them out in phases, and train the people who will use them.
Account
Track net AI value and compliance evidence as you go.
Every quarter we score the six areas again, so you can see what improved.
Start small, and go further when the numbers support it
Fingerprint
A fixed-scope diagnostic of where you stand today.
- A score for each of the six areas
- Where AI value is leaking, and why
- A first estimate of your net AI value
- Compliance gaps against the rules that apply to you
- The few things to fix first
Blueprint
A strategy and roadmap your leadership team can fund.
- Financial goals for the near, middle and long term
- AI uses ranked by value and by risk
- Controls, tests and governance for each one
- A compliance plan: your EU AI Act role, risk levels and policies
- Training paths on Alset for each role
Transform
We work alongside your team while the plan runs.
- Help running the roadmap, phase by phase
- Your people trained and measured on Alset
- Net AI value tracked as it happens
- GRC workflows on TheDex, with evidence for each audit period
- A review and a new score every quarter
Need ongoing leadership instead? We can also act as your part-time Chief AI Officer, running AI strategy and governance with your team.
The plan comes with the platform to deliver it
Most advisers leave you with a slide deck. Our recommendations become training paths on Alset, one for each role, with hands-on lessons, certificates and a dashboard that shows who is ready.
That gives the “people” part of your score real evidence behind it, instead of a survey. Our AI ethics, security and compliance courses also give your teams the AI literacy the EU AI Act expects, with work they can show.
See Alset for Business See the AI ethics, security and compliance courses See the AI Red Team AcademyFor the people who answer for AI
Leaders and boards
See where AI is creating value, where it is losing money, and what to fund next, with numbers your finance team can check.
Investors with a portfolio
Score every company you own on the same scale, see where the biggest AI gains are, and track the change quarter by quarter.
Compliance, risk and security leads
Know what AI your company uses, which rules apply, and what evidence you have, before a customer, an auditor or a regulator asks.
Ravi Korlimarla
Founder, Alset
Ravi has spent fifteen years building AI and data science teams in large companies. At Workday he was Senior Director of Data Science and Advanced Analytics. He led the AI product roadmap there, including agentic AI assistants, and built the team from zero to thirty people.
Before that, at Cisco, he was Director of Innovation and Advanced Analytics. He grew the data science organisation past 100 people and ran a portfolio of 1,200 production models. In 2026 he founded Alset to train teams on AI.
He holds an M.S. in Computer Science from North Dakota State University and completed advanced study in data science at MIT.
Start with the self-assessment
15 questions, about two minutes. You get a first view of where your AI value and your AI risk sit, and where to look next.