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Enterprise · Services

Governance Expertise from Day One to Full Autonomy

ClarifAI's Professional Services team provides the implementation, training, and advisory support that turns a platform deployment into an operating AI governance capability — one that your team owns and runs independently within 90 days.

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The Problem

Technology Without Expertise Doesn't Govern Anything

Deploying a governance platform is the easy part. Building the internal capability to run it — integrating it with existing workflows, training model risk teams to act on alerts, aligning it with regulatory requirements specific to your sector, and getting data science teams to see governance as enablement rather than overhead — is where most deployments stall. ClarifAI's Professional Services team has done this at 20+ regulated enterprises and brings that experience to every engagement.

90 days
to full operational independence — guaranteed in our service contracts
20+
regulated enterprise deployments completed by our professional services team
4.9/5
average post-engagement customer satisfaction score
faster time-to-value vs. self-service deployment based on customer data
How It Works

A Structured Path to Governance Maturity

Four phases from initial deployment to full operational independence.

01

Discovery & Governance Assessment

A structured 2-week assessment of your current AI governance posture: inventory of production models, existing monitoring gaps, regulatory obligations, and organisational readiness. Deliverable: a prioritised governance roadmap aligned to your regulatory deadlines.

02

Platform Deployment & Integration

Hands-on deployment of ClarifAI in your environment, integration with your MLOps stack, and configuration of governance workflows aligned to your internal processes. Our engineers work alongside your platform team to ensure zero disruption to production systems.

03

Team Training & Capability Transfer

Role-specific training programmes for data science teams (using ClarifAI in the model development lifecycle), model risk teams (acting on governance alerts and generating audit reports), and compliance officers (managing regulatory submissions). All training is delivered live with your own models and data.

04

Advisory & Ongoing Support

Post-deployment advisory retainer covering regulatory developments, governance programme expansion, and model risk strategy. Monthly governance health reviews with benchmarking against industry peers.

Key Features

Professional Services Offerings

🗺️

Governance Roadmap Development

A structured assessment of your AI governance maturity and a prioritised roadmap to close gaps — aligned to RBI, IRDAI, EU AI Act, or your specific regulatory obligations.

🚀

Implementation & Deployment

Hands-on platform deployment, MLOps integration, and governance workflow configuration. Completed in 4–8 weeks depending on environment complexity.

🎓

Role-Based Training

Live training programmes for data scientists, model risk managers, compliance officers, and executive sponsors. Customised to your sector, your models, and your regulatory environment.

🔎

AI Governance Audit

Independent audit of your AI governance programme against a defined maturity framework. Findings and recommendations delivered in a structured report to your board or audit committee.

📡

Regulatory Advisory

Ongoing advisory on AI regulation developments in India, EU, and US markets. Includes impact assessment of new guidelines on your existing governance configuration.

🤝

Dedicated Customer Success

Every enterprise account receives a dedicated Customer Success Manager who owns your governance programme health, coordinates with our technical team, and provides monthly governance health reviews.

How Mature Is Your AI Governance Programme?

Schedule a free 60-minute governance maturity discussion with our professional services team.

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