Your AI passed the platform test. Can it do the job correctly?

This page is for enterprise teams who build or operate their own AI. Looking for Zynoviq's Enterprise AI division? Visit Zynoviq Enterprise AI. The two businesses have separate delivery teams, and we never test products made by the Enterprise AI division. How we stay separate.

• The question your board will eventually ask. Someone senior asks how you know the AI is correct, and the answer has to be assembled after a tax notice rather than before it.
• Nobody inside can answer it. Your technology team knows the AI is up and used; your tax team has checked a few answers; your vendor quotes general benchmarks; your auditors know whether controls exist. None of them knows how it performs across hundreds of situations under the CGST Act.
• A human step is removed on faith. The business case depends on straight-through processing; the risk depends on how often the agent is wrong once the check is gone.
• A change breaks it quietly. A new model, a changed prompt, a new retrieval source or a rule change alters which cases pass.

Enterprise AI teams usually come to us at a moment of change: deploying agents that act, building internal copilots, automating a professional workflow end to end, integrating AI with ERP or CRM, switching models or retrieval, or introducing autonomous actions where a person used to approve.

You have put AI into work that used to need a qualified professional: GST treatment of invoices, tax queries, payroll computation, compliance checks. A test gives you a clear score across the topics your AI handles, every failure explained with the correct answer and the law, the high-severity errors listed first, and a short summary your risk committee can read with a work list for your technology team. Start with the domain where being wrong costs most, usually GST. Many Indian enterprises are switching on SAP finance agents; the vendor's AI knows the software, and we test how Indian GST applies to your real-world cases. SAP.

Global companies roll the same finance and tax AI across every entity, often built and tested at headquarters against rules from elsewhere. India is where that breaks most often: GST has its own logic, rates and rules change by notification, and the exceptions matter more than the general rule. We test the Indian leg, GST today and payroll and company law on request, with the same report structure each time, written for a reader outside India with Indian terms explained and issues ranked by money at risk. We do not test another country's tax or employment law. For several Indian company codes, each code's tax codes and accounts are mapped at the start.

1. Choose one workflow

   where a wrong answer would cost most: GST credit eligibility on supplier invoices, for example.

2. Diagnostic

   about 100 synthetic cases, about four weeks, in your test environment. All we need is a way to put cases to the AI outside production. The four-week diagnostic.

3. Decide

   with every failure explained and a regression set in hand. The diagnostic ends with one question: shall we run this every time you change your AI?

4. Expand

   continuous evaluation on that workflow, then further workflows, then red team, then other business units. Packages.

Illustrative A synthetic example of how a mission works.

1. Professionals create the cases

   procurement professionals write synthetic requests that mirror your workflow, including split purchases, single-source justifications, missing quotes and approval limits, with the expected decision for each, set against your written procurement policy and professional practice.

2. Your AI attempts them

   in your test environment, exactly as it would in production.

3. Zynoviq marks

   decision, workflow, tool use, action and policy adherence, case by case, with the expected outcome, the actual outcome and the rationale.

4. Failures become regression tests

   every failure is kept with its expected outcome, so the same mistake is caught after the next model or prompt change.

Enterprise procurement agents are on request. Procurement domain and status.

• No data leaves your organisation. We build synthetic cases; you never send us records.
• Test environments only. Production is never touched. Data we hold is stored in India. If your policy requires specific certifications, raise it on the first call and we will tell you plainly where we stand. Trust.
• Answers you can trace. Each result links to its case, the certified answer, the legal authority and the professional judgment behind it. Evidence and currency.
• Rule changes covered. When the law changes, affected cases are revised and re-dated, and your system is re-run. Regulatory Regression Service.

Not a security test: our red teaming uses professional scenarios, not hacking. For security testing of your infrastructure, use a qualified security firm.

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