The situation
Teams independently subscribe to AI assistants for internal work.
Workplace AI Governance & IT Workflows
Workplace AI governance manages the organization’s use of internal AI tools: access, permitted information, procurement and human responsibility. It differs from engineering an AI feature into a customer-facing application.
- Map tools and usage
- Define practical controls
- Connect IT workflows
Is this right for you?
When this is the right work.
Employees use multiple AI tools without a shared access policy or a clear view of data exposure and ownership.
The first conversation establishes the environment, the constraint and who will accept the result. We agree a bounded starting point before expanding the engagement.
Scope
What DotConn delivers.
- 01
Map tools and usage
Identify sanctioned and unsanctioned AI tools, users, integrations and business needs.
- 02
Define practical controls
Agree permitted data, access, approval and lifecycle requirements with the organization’s policy owners.
- 03
Connect IT workflows
Scope access requests, tool onboarding, review and offboarding with a clear exception route.
Deliverables
What you receive.
Acceptance criteria identify the checks, records and handover needed for the agreed scope.
- Workplace AI tool and ownership register
- Access and acceptable-use implementation plan
- IT request, review and exception workflows
In practice
A practical example.
Our approach
We map usage and coordinate access and data-handling decisions with IT and policy owners.
The useful result
The business receives an actionable control model that employees can understand.
Responsibility
Agree the responsibility.
DotConn
Assesses and delivers the technical work in the agreed scope, with reviewable changes and handover. Continuing operation requires a separately defined managed-service scope.
Your team
Provides authorized access, business priorities and accountable decision-makers; approves policy choices and accepts the agreed result.
Set this boundary early
Vendor terms and licensed features require review. This is internal-tool governance, not a promise that AI-generated work will be accurate or a substitute for legal policy advice.
FAQ
Questions worth resolving.
Is this the same as LLMOps?
No. Workplace governance concerns employee tools and access. LLMOps operates a language-model application and its releases, evaluations and runtime behavior.
Pricing, timing and how to prepare are covered in working with DotConn.
Connected work
Services that work alongside this.
Workplace Identity & Access Management
Workplace IAM manages employee and contractor access across organizational tools. It connects identity, SSO, MFA, roles and approval to the responsibilities people actually hold.
ExploreSaaS License & Renewal Optimization
SaaS optimization connects licenses and subscriptions to real ownership and usage. It makes renewal, seat changes and access decisions reviewable without assuming that every unused-looking account should be removed.
ExploreProduction LLMOps
LLMOps manages changes and operations for language-model applications. Prompts, model choices, retrieval configuration and tool permissions can all affect behavior and need a reviewable release path.
ExploreDNS & Domain Governance
Domain governance connects domain ownership, registration, DNS changes and renewal to accountable people. It helps protect business-critical names from administrative gaps and uncontrolled configuration changes.
Explore