Governance for AI.
Before AI Governs You.
AI Governance Readiness Audits for pharma, oil and gas, and manufacturing enterprises. Built by an engineer who spent 18 years inside the plants that are about to be regulated.
Six modules. One governance layer.
Six modules. One governance layer. Now in pre-beta for pharma, oil and gas, and manufacturing teams.
Model Inventory
Register, classify, and track every AI model deployed across your organization. Know what you have before you govern it.
Data Governance
Audit training data provenance, quality, and bias exposure. The model is only as governed as the data feeding it.
Risk Assessment
Score every model against regulatory risk frameworks. Identify high-risk deployments before auditors do.
AI Safe Zones
Create controlled environments where teams experiment with approved AI tools safely. Govern the sandbox, not just the production line.
Compliance Roadmap
Auto-generate remediation plans mapped to EU AI Act, NIST, ISO 42001, and FDA requirements. Actionable steps, not abstract guidance.
Regulatory Intel
Live feed of regulatory changes affecting your AI deployments. Know when a new rule hits before your competitors do.
AI governance just became a legal obligation.
Illinois AI Safety Measures Act
July 2026. Large frontier AI developers must publish safety frameworks from January 2027 and pass annual third-party audits from January 2028. Audit expectations will flow down to the enterprises that build on those models.
Source: DLA PiperCISA Agentic AI Guidance
May 2026. CISA and international partners published best-practice guidance for agentic AI: prompt-injection defenses, least-privilege access, and human sign-off before high-impact or irreversible actions.
Source: Industrial CyberEU AI Act
Deadline: December 2027. The Digital Omnibus moved high-risk obligations to 2 December 2027, and to 2 August 2028 for AI inside regulated products such as machinery and medical devices. Bans and general-purpose AI rules already apply. That's your runway to get ready.
Source: OrrickChina's Agent Rules
The world's first dedicated regulatory framework for generative AI agents became enforceable under Cyberspace Administration of China directives.
Source: Official CAC NoticeUS AI Labeling Act
Bipartisan legislation requiring visible disclosures on all AI-generated content introduced in the United States Senate.
Source: Congress.govFDA AI/ML Framework
Total product lifecycle oversight for AI-enabled medical devices. Continuous monitoring and Predetermined Change Control Plans (PCCP).
Source: FDA GuidanceIn development: Agentic Resolution
Agents that flag model drift and route it to the right owner.
In development: Regulatory Digital Twin
A live feed of global AI laws (EU AI Act, NIST) that automatically updates your compliance roadmap in real-time.
In development: Human-as-Chair
The ultimate ethical safety net. AI does the work, but humans retain the final ethical judgment.
Built by the engineer who built the systems being regulated.
Prasanthi Ballada spent 18 years at Emerson Automation Solutions building distributed control systems and automation technology that pharma, oil and gas, and manufacturing plants run on.
She progressed from DeltaV Control Systems Engineer to Global Portfolio Leader. She built Women's ERG networks across three continents. She participated in six hackathons, three of which produced official Emerson products.
Credentials
- ✔ 18 years at Emerson Automation Solutions
- ✔ DeltaV Control Systems to Global Portfolio Leader
- ✔ Claude Partner (Anthropic)
- ✔ Jay Shetty Certified Life and Career Coach
- ✔ 6 hackathons, 3 became shipping products
- ✔ Founder and CEO, PrasanthiBallada Enterprises LLC
Get your AI Governance Readiness Score.
Book a 30-minute call. We will assess your AI deployments against every applicable regulatory framework and deliver a scored readiness report with a remediation roadmap.
Book a Governance Audit