Fractional AI Leadership
Your AI leadership team, without the full-time headcount
Most companies can't justify a full-time AI leader, but need someone who owns the AI function and keeps it producing value.
Who it's for
Companies where AI is a core priority but a full-time AI hire doesn't fit
What it solves
Workflows need ongoing optimization, team needs enablement, strategy needs iteration
What happens
Monthly strategy sessions, workflow management, team training, governance
Outcome
Compounding AI capability — the system improves every month
AI capability needs ongoing leadership
Building this in-house means hiring a senior AI leader, a data engineer, and an automation specialist — a significant annual investment. Our retainer delivers the same output at a fraction of that cost.
A fraction of the cost of building an in-house AI team — with zero hiring risk and zero ramp time.
What's included
Four operating domains
Strategic Cadence
- Monthly strategy session
- Quarterly roadmap review
- New use case identification
- Competitive AI intelligence
- Board-level reporting
Workflow Operations
- Deployed workflow management
- Performance monitoring
- Prompt and config tuning
- New workflow deployment
- Integration maintenance
Team Enablement
- Ongoing training
- Prompt literacy development
- Change management support
- Documentation maintenance
Governance & Risk
- AI usage policy
- Output quality auditing
- Data privacy oversight
- Vendor evaluation
Engagement tiers
Every tier includes all four domains. The difference is depth and hours.
Three tiers by depth of engagement
AI Foundations
Get started with an evaluation
1-2 workflows. Expert guidance to keep them running and growing.
Founder or ops lead is hands-on with AI, needs an expertise layer.
- Monthly strategy check-in (2 hours)
- Quarterly roadmap review
- 1-2 workflows managed with light-touch optimization
- Initial team training and documentation
- Email/async support between sessions
AI Operations
Get started with an evaluation
Multiple workflows in production. Active management and expansion.
AI generates value but needs consistent operational attention.
- Monthly strategy session with leadership
- 3-5 workflows actively managed and optimized
- Quarterly team training sessions
- New workflow scoping and implementation
- Monthly performance reporting with ROI tracking
- Dedicated Nirmano point of contact
Fractional AI Partner
Get started with an evaluation
Full AI strategy ownership, operations, enablement, and reporting.
AI is a core strategic capability. You'd hire a senior AI leader if you could.
- Full AI strategy ownership
- Board-level reporting on AI ROI and capability
- Full workflow portfolio management
- New workflow builds included in scope
- Ongoing team enablement program
- Competitive intelligence and market monitoring
- Annual AI planning and budget recommendation
- Governance, compliance, and risk management
The compounding effect
Deployed workflows get better. Operational data feeds strategy. Strategy identifies new opportunities. The system accelerates every month.
Minimum commitment
3
Month min (Foundations)
6
Month min (Ops / Partner)
3 months for Foundations. 6 months for Operations and Partner. Meaningful results take at least a few months.
What compounds over time
Month-over-month returns
Compounding returns
Workflows improve monthly. Data feeds strategy. Strategy drives growth.
In-house capability
Your team builds real AI literacy from working on production systems.
Executive-ready reporting
Clear metrics connecting AI investment to business outcomes.
You need this if...
- AI generates value but needs consistent operational attention to keep improving
- You'd hire a senior AI leader if you could justify the full-time cost
- Deployed workflows need monitoring, optimization, and governance
You might need AI Workflow Implementation instead if you need workflows built first before ongoing leadership makes sense
Not sure which tier fits?
Start with a readiness assessment and we'll recommend the right starting point.