Workflows, data and governed AI for regulated organizations

Architecture, implementation and process improvement where audit, data quality and governance matter.

PracticeScope

ServiceNow platform

GRC/IRM, Security Operations, CMDB, ITOM, ITAM, HR Service Delivery, SPM

Data & analytics

Data quality, lineage and executive reporting

AI & governance

AI inventory, risk tiering, controls and audit evidence

Process improvement

Process mapping, workflow redesign and built-in controls

Practices

Four practices, delivered by senior architects with 14+ years on the ServiceNow platform.

ServiceNow platform

Architecture, implementation and optimization across risk, security and IT operations.

  • GRC/IRM: risk and compliance, issue management, vendor risk
  • Security Operations: Vulnerability Response, Security Incident Response
  • CMDB and CSDM, Discovery, Service Mapping, Event Management
  • IT Asset Management: hardware and software
  • HR Service Delivery and Strategic Portfolio Management
  • Integrations: REST, IntegrationHub, OAuth, SAML

Data & analytics

Trusted data and reporting that leadership and regulators can rely on.

  • Data quality, lineage and data dictionaries
  • Report catalogs and executive reporting
  • ThoughtSpot, Tableau and Power BI
  • Real-time and batch data integration, including Apache Kafka

AI & governance

AI that is inventoried, risk-rated, approved and monitored.

  • AI use-case inventory and ownership
  • Risk tiering and approval workflows
  • Control mapping to the NIST AI RMF and the EU AI Act
  • AI governance on ServiceNow GRC/IRM and AI Control Tower
  • AI-ready data, knowledge and CMDB

Process improvement

Fewer manual steps and stronger controls, designed before anything is built.

  • Current-state process mapping
  • Workflow redesign with the teams who run it
  • Controls, audit evidence and reporting designed in
  • Before-and-after measurement

AI governance on existing GRC foundations

Five controls Maynit puts in place before AI moves into production.

  1. Inventory

    Every model, agent and use case recorded with an owner.

  2. Risk tiering

    Use cases classified by impact before approval.

  3. Approval

    Risk, legal and security sign-off for high-impact uses.

  4. Monitoring

    Accuracy, drift and usage tracked after go-live.

  5. Evidence

    Decisions and test results retained for audit.

Implemented on ServiceNow GRC/IRM and AI Control Tower, or alongside the controls an organization already runs.

Approach

  1. Assess

    Current process, platform health and data quality.

  2. Design

    Target architecture, data model and controls.

  3. Build

    Configuration, integrations and testing.

  4. Govern

    Ownership, reporting and continuous improvement.

AI product development

Maynit builds its own AI products, using the same architecture and governance practices it delivers to clients.

What the products use

  • Generative AI for audio, speech-to-text and media processing
  • Explainable, rules-first recommendations over public datasets
  • A pluggable model gateway, so models change without rebuilding the product
  • Privacy-first, local-first design

How they are built

  • Python, FastAPI, PyTorch, Whisper, FFmpeg and Flutter
  • AI-assisted engineering across design, coding, testing and documentation
  • Governed workflows: create, review, approve

Credentials

Current certifications held by Maynit's team.

ServiceNow

  • Certified System Administrator
  • Certified Application Developer
  • Implementation Specialist: Risk and Compliance
  • Implementation Specialist: Vulnerability Response, Security Incident Response
  • Implementation Specialist: Data Foundations (CMDB and CSDM), Discovery, Event Management
  • Implementation Specialist: Hardware and Software Asset Management
  • Implementation Specialist: Human Resources, Strategic Portfolio Management

Data & analytics

  • ThoughtSpot Cloud Architect
  • ThoughtSpot Professional
  • ServiceNow Platform Analytics
  • ServiceNow Predictive Intelligence

Delivery

  • Certified Scrum Professional, ScrumMaster
  • Certified Scrum Professional, Product Owner
  • Kanban Management Professional

About Maynit

Maynit Corporation is a technology consulting firm founded in 2011 and based in Plainsboro, New Jersey. Its principals bring 20+ years in enterprise technology, including regulatory and data platforms in financial services.

Talent & resourcing

Contract and full-time placement of ServiceNow, data and AI specialists, and executive search for technology leadership roles.

Leadership

Ashwani Handa

Ashwani Handa

Co-Founder & Technology Leader

Ashwani brings over 25 years of technology experience across banking, finance, healthcare, and insurance. He co-founded Maynit in 2011, combining experience leading large-scale implementations with a belief that successful technology starts with understanding the people it serves. He helps shape Maynit’s technology direction and consulting partnerships.

LinkedIn profile
Rashmi Handa

Rashmi Handa

Co-Founder & Entrepreneurial Leader

Rashmi brings extensive experience across U.S. healthcare, finance, and government projects. As co-founder of Maynit, she brings an entrepreneurial perspective to building client relationships and consulting partnerships. Her approach centers on understanding people’s needs and helping organizations improve how they work.

Contact

For consulting, AI governance or resourcing enquiries.

Email Maynit

Email
contactus@maynitcorporation.com
Phone (US)
+1-609-721-0189
Phone (India)
+91-7355820907
Office
Plainsboro, New Jersey 08536, USA
LinkedIn
Maynit Corporation