Put AI to Work With Security and Control

Make responsible use part of the operating design.

AI governance becomes useful when an employee can answer a few practical questions: which tools can I use, what information can I provide, which outputs need review and where do I go when something looks wrong?

For a connected workflow, the questions become more specific. What can the application read? Which records can it change? Who can approve an action? What happens when a connection fails or a result cannot be verified?

BTI helps translate those questions into an operating design. The work includes the information sources, user permissions, integration credentials, approval rules, monitoring and support responsibilities. Policies and technical controls should describe the same process.

Review the data path, not just the product name.

A business workflow can touch a user device, an AI workspace, a model provider, a document repository and several connected applications. Understanding that path is the starting point for sensible control.

Examine what each component receives, where information is stored, which service terms apply and how access is revoked. A statement about one part of the service does not describe the retention or access behavior of every other part.

For example, model-call retention and the storage of a business conversation are separate questions. The workspace may retain a thread, the source system may retain a document and a connected application may retain the transaction. BTI reviews the relevant components and documents the responsibilities in the scope.

Find shadow AI. Know what is running and who owns it.

A working AI register identifies each approved tool or workflow, its business owner, the information it uses, the systems it connects to and the people authorized to use it. Add the operating owner, support arrangements, review date and approved actions.

Include existing employee use in the review, including personal or unapproved AI accounts. Provide an approved alternative, practical guidance and a way for employees to request additional capabilities. A usable path to approval helps useful applications become supported business services.

A sales assistant handling public research needs a different design from an application reading confidential contracts or updating customer records. The register makes those differences visible to management.

State privacy and retention terms precisely.

Model training, model-call retention, workspace history, business records and audit evidence are separate decisions. Each needs an answer in the solution design.

BTI's published workspace approach documents no-training requirements for approved providers, models and data paths. Zero retention applies to approved model calls. Workspace content, files, business records and audit evidence follow their own agreed retention rules. Review the published workspace and privacy comparison.

Apply the same clarity to ownership. Customer information, contributed business logic, custom deliverables, licensed software and third-party components should be identified in the agreement. Export and transition rights matter when a solution becomes part of daily operations. The Buyer's Guide (pp. 42-45) lists the privacy and agreement questions to ask.

Bring AI into identity and employee lifecycle management.

An employee should receive access because their role requires it, not because a shared login happens to exist. Joiners, role changes and departures must be reflected in the AI service and the systems it connects to.

BTI can examine identity integration, administrative roles, service accounts, credential handling and connected applications. The objective is clear, supportable access with a practical way to remove it.

Source data needs the same attention. A knowledge assistant should not become a shortcut around document permissions. Tests should include people with different roles and locations so the team can see what each user can actually retrieve.

Test the situations your business will encounter.

A useful test set includes normal requests, missing information, conflicting records, unusual instructions and failures in connected systems. It should also include attempts to make the workflow act outside its intended task.

Testing should establish whether the workflow can decline, ask for clarification, route an exception and recover cleanly. A system that produces a plausible answer to every question may be less useful than one that clearly identifies the limits of its information.

BTI works with the business owner to define acceptance criteria. Technical operation, information quality and business correctness are assessed together. Changes to sources, models, instructions and connections should have a corresponding review process.

Plan for continuity before the workflow becomes critical.

As employees depend on a workflow, its failure becomes an operating issue. Identify the work that can pause, the work that must continue and the person authorized to switch to the fallback.

The fallback might be manual processing, an alternate queue, a restricted read-only mode or another approved service. Records and instructions should be available to the people expected to use that fallback.

BTI can connect AI continuity planning to the broader technology environment. Network access, identity, application availability, backup and the support agreement all influence whether the process can recover. Recovery should be tested against a realistic interruption, not assumed from the presence of a backup product.

Connect governance to your existing obligations.

Your legal, privacy, compliance and security leaders identify the obligations that apply to the business. BTI helps translate approved requirements into technical settings, documented responsibilities and evidence-producing workflows. Identity management, onboarding, vendor review, change control, incident response and records management should include the relevant AI systems. See BTI GRC consulting and cybersecurity services.

The NIST AI Risk Management Framework provides a useful voluntary structure through Govern, Map, Measure and Manage. It supports organized risk work; it is not a certification or a substitute for an assessment of your specific legal obligations. Source: NIST AI Risk Management Framework Playbook

The practical output should be proportionate to the use case. A drafting assistant and an agent that changes customer records need different levels of authority, testing and oversight. Establish the control that matches the consequence.

Include physical operations and customer communications.

Converged workflows can connect AI to communications, cameras, access systems or facility operations. An assistant preparing an incident summary has a different role from a system controlling a door or issuing an emergency message. Define permitted sources and actions, assign qualified human oversight and use the appropriate engineering and safety review.

For customer communications, define identity checks, approved answers, consent and recording requirements, escalation and the transactions the workflow can perform. Keep the customer able to reach a person through an established route.

BTI's converged-security services and contact-center and communications automation connect these dependencies to the technical design.

Make operating reviews useful to executives.

A concise operating review answers three questions: what is approved, what needs attention and what the solution is delivering.

The first view lists owners, permitted information, authority and support. The second shows access changes, exceptions, unresolved findings, incidents and assigned actions. The third shows the agreed business measures, operating costs and continuity-test status.

Keep the evidence behind the summary. Configuration records, test results, approval history and completed actions let responsible teams investigate a problem and show management, insurers, customers and auditors what was approved, configured, tested and reviewed.

Make the first review useful to leadership.

A scoped review can produce an inventory of AI uses, a map of sensitive information and connections, priority control gaps, a responsibility matrix and a remediation sequence. It can also identify unnecessary spending on disconnected tools or overlapping controls.

Deliverables can include an AI register, information-flow map, access and authority design, vendor and retention findings, testing requirements, operating procedures and a prioritized remediation plan. The five-domain technology review can also expose overlapping tools, missing coverage and unclear ownership that affect AI adoption.

A BTI business advisor matched to your use case takes the initial conversation about the business priorities. BTI's technical specialists and your designated risk owners can then develop the work needed to enable useful AI with a clear operating model.