AI model inventory
One register of the AI models and tools in use: what they do, who owns them and how much risk they carry.
AI governance services
AI governance that keeps your AI accountable and explainable.
We help you track every AI model you use, test it before and after launch, and keep reviews, approvals and monitoring visible to the people responsible.
What our AI governance services deliver
Evaluation & testing
Check accuracy, reliability and failure cases before launch, with repeatable tests you can rerun.
Approvals & audit trails
Clear review steps and sign-offs, with a record of who approved what and why.
Monitoring in production
Track model performance and drift over time, with alerts when outputs stop behaving as expected.
Bias & fairness reviews
Identify unfair outcomes across groups and document how each was addressed.
Responsible AI policies
Practical policies and roles for using AI, including third-party and generative AI tools.
Signs you need this
Sound familiar?
If any of these sound like your team, we can help, starting with one focused deliverable.
- Nobody has a full list of the AI models and tools in use.
- Models go live without a documented review.
- No one checks whether a model still performs after launch.
- You cannot explain an AI-driven decision to a customer or regulator.
How we work
From problem to working result.
- 01 · Discuss
Start with the problem
Tell us the decision you need to make and where the data sits.
- 02 · Scope
Agree the first step
Pick a focused analytics view, governance workflow or data product.
- 03 · Build
Make it useful
Develop the dashboard, system or AI pilot around your operations.
- 04 · Review
See what changed
Review the insight and controls, then decide what to expand.
Industries we serve worldwide
FAQ
AI governance questions, answered.
What is AI governance?
AI governance is the set of policies, processes and tools that keep AI systems accountable: knowing which models you run, testing them, approving them, monitoring them in use and keeping records of each step.
Which frameworks inform your AI governance work?
Our AI risk work is informed by the NIST AI Risk Management Framework, and we map controls to the regulations and internal policies your organization needs to meet.
Does AI governance cover generative AI and third-party tools?
Yes. It covers chatbots, LLM-based tools and AI features bought from vendors, not only models your teams build in-house.
Do you work with organizations outside India?
Yes. Unidos Systems is headquartered in Pune, India, and works with teams worldwide. Most of our work is delivered remotely, around your time zone and the tools you already use.
How do we get started?
Call or email us with one report, decision or data problem. We discuss it, agree a focused first deliverable, build it around your operations, then review what changed before deciding what to expand.
Work with us
Bring your data challenge to us.
Call or email us directly. Tell us your sector and your challenge, and we'll help define a focused first deliverable.
Headquartered in Pune, India · Working with teams worldwide