AI Should Improve Operations. Not Create Risk.
You are expected to have a clear position on AI. Vendors are calling. Your board is asking questions. Your teams are experimenting. We help mid-market leadership teams integrate AI into daily operations with governance, ownership, and measurable outcomes.
AI Momentum Is High. Operational Clarity Is Not.
Most AI initiatives stall before they deliver real value. Leaders feel pressure to move quickly but moving without structure increases risk.
AI should not increase uncertainty inside your business.
- Pilots start but never scale
- Teams experiment without clear guardrails
- IT owns tools, but operations owns outcomes
- No one measures time saved or quality improved
- Boards want updates, but there is no reporting rhythm
We Help You Move Forward Without Losing Control.
0260.AI works directly with executive teams to bring structure to AI adoption. We have led businesses through major technology shifts before. We understand what sticks and what fails.
We do not just train your team to use AI better. We build the workflows, agents, and automated processes that put AI to work inside your operations while empowering your people to direct and apply it with confidence.
You get practical guidance, measurable implementation, and governance built in from day one.
A Structured Path From AI Interest to Measurable Results.
Identify High-Value Workflows
Map where time is lost and where AI can realistically improve output.
Set Governance and Ownership
Clear acceptable use policies, review steps, and executive accountability.
Implement One Workflow at a Time
Inside your existing tools. With adoption support.
Enable Your People
Train each role to direct and apply AI effectively to their actual work.
Measure and Expand
Track time saved and quality improvements. Then scale what works.
No tool sprawl. No hype cycles. No unmanaged experimentation.
What Changes When AI Is Structured Properly.
- Repeatable knowledge work gets done faster
- Internal reporting becomes clearer and more consistent
- Leaders gain back hours each week
- Your team applies AI to their jobs with confidence and clear rules
- Governance evolves instead of becoming outdated
- AI becomes an operational advantage, not a risk factor
Six Ways We Work With Leadership Teams.
We execute, not just advise. Most engagements combine more than one service.
AI Operations
Hands-on workflow implementation inside your existing tools. We build pilots, train role groups, support adoption, and measure results. AI that actually runs in your business.
Learn more →AI Strategy
An executive-ready roadmap with prioritized use cases, governance policies, and a 90-day rollout plan your operations team can execute not just a slide deck.
Learn more →AI Education
Role-based training that empowers your team to apply AI to their actual work. Practical habits, safe use rules, and real workflow improvements not generic theory.
Learn more →Fractional Chief AI Officer
Sustained executive-level AI leadership without a full-time hire. Governance oversight, vendor guidance, team enablement, and strategic continuity across quarters.
Learn more →AI Executive Coaching
One-on-one executive coaching for leaders navigating AI adoption. Build personal fluency, sharpen your strategy, and make better decisions about where AI fits.
Learn more →Speaking
Keynotes, panel appearances, media interviews, and executive presentations on AI adoption, governance, and the future of work in traditional industries.
Learn more →AI That Does Work, Not Just Answers Questions.
Most companies start with AI as a conversation tool Ask a question, get an answer. That is the beginning, not the destination.
We design and implement AI workflows and agents that take on repetitive tasks, route information, generate structured outputs, and operate inside your existing processes so your team focuses on the work that actually requires human judgment.
Teaching your team to use AI. Building AI that works for your team. Both, with governance from day one.
Deliverables That Stay With Your Team.
Opportunity map tied to business goals
Use case backlog with priorities and owners
Governance and usage guidelines
Pilot builds and rollout plan
Role-based training and prompt library
Simple measurement plan
Built for Mid-Market Companies With Real Operations.
Organizations with 50 to 2,000 employees. Large enough to have complexity. Too small to justify a full AI department. Serious enough to do this correctly.
- Leadership teams that need measurable outcomes, not experiments
- Organizations ready to move from pilots to operational adoption
- Companies that want clear governance and ownership before scaling
- Leaders who want their teams empowered to use AI not left to figure it out alone
We Are Not the Right Fit for Everyone.
Being clear about this saves everyone time.
- Companies looking for a one-day workshop with no follow-through
- Organizations that want AI implemented without executive involvement or ownership
- Teams that need a vendor to tell them what tools to buy, not how to use them
- Businesses not yet ready to measure outcomes or hold anyone accountable
- Enterprises with 2,000+ employees requiring large-scale IT transformation
Common Questions.
If You Want AI Results Without Operational Risk, Start With One Structured Conversation.
A short discussion is enough to clarify where you stand and what a structured engagement would look like.