Services/AI Governance

AI governance consulting that lets IT say yes

Your people already use AI, approved or not. We help you set an AI governance framework, decide which models and data are allowed, and build the controls into the tools your teams use every day, so adoption can grow without adding risk.

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The opportunity

A policy on paper doesn't stop shadow AI

Most companies have an AI policy. Few can show which models employees use, what data goes into them, or who approved an agent's action. We turn the policy into working controls and records you can show an auditor, a customer or the board.

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What BSD does best

Governance built into the work

AI Governance Framework

Roles, policies, risk tiers and approval paths for AI use, mapped to the NIST AI RMF and ISO/IEC 42001 so it holds up in reviews.

AI Risk Assessment

An inventory of the AI already in use, shadow AI included, rated by data sensitivity and business impact, with a prioritized list of fixes.

Controls in the Tools

Approved models, data masking, role-based access and audit trails, enforced in a private AI platform instead of a policy PDF.

See Ally Platform
Why Boston SoftDesign?

Governance works best at the data layer

AI risk usually enters through data: what a model can read, and what an agent can change. That is the layer we have built and run for clients since 1999: integrations, access rules and the systems of record behind them.

So we govern AI where it touches your data, with least-privilege access, human approval for sensitive actions and a log of every step, rather than relying on training slides alone.

  • Programs mapped to the NIST AI RMF, ISO/IEC 42001 and the OWASP Top 10 for LLM applications
  • Controls your security team can test
  • Records ready for customer security reviews
Our process

From inventory to enforced controls

  1. 01

    Discover

    We inventory the AI tools, models, agents and data flows in use today, approved or not.

  2. 02

    Assess

    We rate each use case by risk and map the gaps against the framework you need to meet.

  3. 03

    Design

    We define policies, risk tiers, approval paths and the technical controls for each tier.

  4. 04

    Enforce

    We put the controls in place, train your teams, and review usage and new use cases on a regular cadence.

AI governance services

Where governance pays off

AI Acceptable Use Policy

Clear rules on which AI tools and data employees can use, written for people, not lawyers.

AI Agent Guardrails

Scoped permissions, human approval for sensitive steps and an action log for every agent you deploy.

Data Protection for AI

Masking and data loss prevention that keep sensitive data out of prompts and model providers.

AI Vendor & Model Review

Due diligence on AI vendors and models: data handling, retention, security and contract terms.

Shadow AI Discovery

Find the unapproved AI tools in use and move people to approved, governed options.

Audit & Evidence

Logs and reports that show who used which model, with what data, and when.

FAQ

AI governance, answered

What does an AI governance engagement include?
An inventory of the AI in use, a risk assessment, an AI governance framework with policies and approval paths, and the technical controls that enforce it. Most engagements start with a short assessment and a prioritized roadmap.
Which frameworks and regulations do you align with?
We help you get in line with the NIST AI Risk Management Framework, ISO/IEC 42001, the OWASP Top 10 for LLM applications, the EU AI Act and the US state AI laws that apply to you, and meet their requirements. When you are ready, we help you prepare for certification with an accredited certification auditor.
How do you handle shadow AI?
Blocking alone pushes it underground. We find which tools people use and why, then give them an approved option that is just as easy to use, with the controls built in.
How do you govern AI agents?
Each agent gets only the access its task needs, sensitive actions wait for human approval, and every step is logged. We test agents before release and review them after every change.
Do we need a private AI platform for AI governance?
Not always. Policy and process come first. When many teams use several models, a private AI platform such as Ally Platform keeps approved models, masking and audit in one place, so the controls apply to every prompt.
27+
Years of IT expertise
Since 1999
250+
Engineers
Onshore & offshore
98%
Client retention
Year over year
100+
Customers
Across 2 continents
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AI governance, done right

Tell us where AI is used in your company today, and we'll show you the gaps and the fastest path to governed adoption.