Use AI without losing control
AI now shapes how your team creates content, interprets data, routes work, and recommends next steps across key business workflows.
That creates a new operating challenge. You can move faster with AI, but that same speed creates risk. If you haven’t defined who owns what, what needs review, and what requires approval, AI can run right off the rails with zero oversight.
This service helps you decide where AI fits, where people stay involved, and what needs review so speed does not create confusion or weak decisions
AI Workflow Governance at a Glance
This service line is built on HAIF, the Human + AI Framework. HAIF gives you a practical way to govern AI across business workflows without losing oversight, judgment, or control.
- Best for: Companies planning AI adoption or already using AI in business workflows
- What it solves: Loss of control as AI becomes part of more business workflows
- How it works: We start with a Readiness Diagnostic, then move into either an Adoption Readiness Sprint or a Control Layer Sprint, with ongoing Advisory support as needed.
What this service includes
This service line gives you a practical way to govern AI across business workflows without building a bloated governance program.
HAIF Readiness Diagnostic
This diagnostic shows you where AI is already built into workflows or likely to enter next, then identifies gaps in readiness, ownership, review, and accountability.
HAIF Adoption Readiness Sprint
Choose this path when you are planning AI adoption or still testing early use cases. This sprint helps you decide which workflows are ready, what controls need to exist first, and how to launch with stronger ownership and review.
HAIF Control Layer Sprint
Choose this path when AI is already built into live workflows. This sprint helps you set clear rules for review, approval, escalation, and ownership.
HAIF Advisory
Use this ongoing support model after either sprint when you need help putting the framework into practice. Advisory helps you manage rollout, refine review and approval rules, work through exceptions, and extend the framework into additional workflows as AI use expands.
What HAIF governs
HAIF helps you put structure around five practical areas that shape whether AI is useful or risky in your business:
- the quality of the information AI works from
- the signals your business sends across systems and content
- the role AI plays in each workflow
- the review and approval rules around its output
- how your business gets represented internally and externally
Common use cases
This service fits parts of the business where AI is already being used to create content, review information, support decisions, or move work forward.
Common use cases include:
- revenue systems and forecast support
- reporting and executive summaries
- marketing and GTM execution
- lead prioritization and routing
- content creation and approval
- internal knowledge and documentation
Outcomes
This work helps you use AI with more structure and less cleanup later. You get clearer ownership, better review, and stronger control without slowing the business down.
You should expect:
- clearly defined ownership
- signoff steps that are overtly assigned
- stronger approval rules
- better documentation and accountability
- less rework from weak or misleading output
Ready to put structure around how AI participates in your business?
AI is becoming part of more of the work. Now is the time to decide where it fits, what needs review, and who owns it.