Finance and forensic work, the everyday running of your company, the teaching of your people:
done by our own AI agents and checked by our experts.
Fully local, or cost-effective cloud: you choose where it runs.
An AI-first service company. Our AI does the work; our experts check it.
Our own harness gives that AI a memory, a plan and safeguards, so long, careful work gets finished, and finished right. We use it to keep books and find fraud, to run a company's everyday work, and to teach and train people. Built by finance and forensic experts and AI engineers, working side by side. From the heart of Africa to the world.
30 minutes. Tell us the work you want off your hands: books, an investigation, a process, a class. You leave with a one-page sketch of how our AI and our experts would do it, whether or not you go ahead.
We look at a real sample of your work: your ledger, your papers, your process or your syllabus. Within five working days you get a written plan: what our AI takes over, what it asks your people, and what stays with you.
We set our agents to your data, your rules and your language, fully local on your hardware or on our cloud, your choice. Every action leaves a trail, and our experts check the work before it reaches you.
Our agents do the work every day; our experts check it, and we keep tuning and extending it. Regular reviews, and we are on call for the hard questions, in whatever way we agree to work together.
Contracts, emails, chats and syllabuses, in your languages, even when people mix them.
Ask by voice or text, in your language, and it answers from your own records.
Every number checked, every total added up, duplicates and tampering stopped.
It follows the money, balances the books, finds the gap in a student’s understanding, and says why in plain words.
Every party, paper and decision, so you never explain twice.
Specialist agents review each other’s work before our experts see it.
Fully local on your hardware, even offline, or on a cost-effective cloud. No lock-in.
Every action logged, every finding traced to its source, ready for an auditor, a regulator or a parent.
A technology-forward Chief Financial and Value Officer with more than fifteen years at the meeting point of finance, risk and technology. Shereena leads forensic investigations and fraud detection with AI: finding the pattern in millions of transactions and building findings that hold up to regulators and courts. As a CFO and management consultant she steers corporate strategy, capital structure and fundraising for clients across global markets, building the investor confidence that brings money in. She brings AI, blockchain and ERP into enterprise finance, values digital assets in emerging markets, and ties every capital decision to its environmental and social impact. At Fintech Forensics she sets the standard our AI is held to: every number must hold up.
An AI engineer who builds for deployment, not for publication. Vysakh trains models end to end, language models and diffusion models, from the data to production: large models where a problem needs breadth, and small language models built for one narrow job, one model per problem, served at a fraction of the cost. On them he builds forward-deployed agents: agents that sit inside an institution, run on local inference, learn how the work is really done, and turn it into automation and intelligence, and every deployment feeds back into the harness that runs them. Around them sit computer-use agents that operate any desktop or web program, and voice and vision systems that work in low-resource languages. He ships it all on hardware institutions can actually afford and own, and advises institutions, banks, companies, cooperatives and clinics, from first strategy to agents running in production.
Why rules-based monitoring misses sophisticated fraud, and how unsupervised models surface the outliers, structuring, and timing patterns a human auditor never could.
A forensic pipeline that extracts, classifies, and cross-references invoices against vendor and payment data, flagging duplicates and collusion at audit-grade precision.
Books, an investigation, a process, a class: in 30 minutes we’ll sketch how we’d run it, and be honest if we’re not the right fit.