Fractional leadership • 3 months to 1 year
Fractional CAIO/CTO for AI
Bring Prashant Dhingra into your leadership team to deliver AI agents and AI-driven data products—from strategy and architecture to rapid execution and operationalization.
- Time to value
- Weeks
- Start with a focused, high-ROI use case
- Execution model
- Hands-on
- Lead, design, and deliver with your team
What you get
- AI strategy + clear prioritization of use cases tied to business outcomes
- Reference architecture for data, retrieval, agents, evaluation, and observability
- Rapid delivery of an AI agent / AI data product MVP → production rollout
- Operating model: security, governance, cost controls, and reliability
- Team enablement: playbooks, templates, and hands-on coaching
Typical starting point
One high-impact agent + one foundational AI data product, delivered with an execution roadmap for the next 2–4 quarters.
Who this is for
Organizations that want to move from “AI experiments” to repeatable delivery and measurable business impact.
Executives
CAIO, CDO, CTO, CIO, COO leaders aligning AI with strategy, risk, and ROI.
Product & Data Leaders
Teams building AI capabilities, agentic workflows, and AI-powered data products.
Platform & Engineering
Architects and engineers scaling RAG, tools, evals, and reliability in production.
Engagement options
Structured, course-style cadence with weekly working sessions + leadership touchpoints. Choose an engagement length based on urgency and scope.
3 months
Launch & Ship
Perfect when you need fast momentum and a flagship agent/data product delivered end-to-end.
- Use case selection + success metrics
- Architecture + build plan
- MVP → production rollout
6 months
Scale & Systematize
Build repeatable delivery: agent patterns, evaluation, governance, and a roadmap for multiple products.
- 2–3 AI deliveries (agents/products)
- Evaluation + observability setup
- Operating model + playbooks
12 months
Transform
Company-wide AI capability: portfolio strategy, platform evolution, governance, and team maturity.
- AI product portfolio + quarterly roadmap
- Platform + security/governance maturation
- Org enablement + hiring guidance
Cadence
Weekly working session
Architecture, prioritization, and delivery leadership.
Executive alignment
Monthly steering check-ins to track ROI and risk.
Artifacts
Roadmaps, architecture, playbooks, and templates delivered as you go.
How Prashant helps you deliver
A pragmatic approach that balances speed, quality, governance, and long-term maintainability.
01
Assess & Align
Current state, constraints, stakeholders, and target outcomes.
02
Design
Reference architecture, build plan, data/RAG design, and evaluation strategy.
03
Build & Ship
Hands-on execution with your team to deliver production outcomes.
04
Operate & Scale
Governance, cost controls, monitoring, and repeatable delivery playbooks.
Typical deliverables
- Use case portfolio + prioritization scoring
- AI agent and data product roadmap (90 days + 2–4 quarters)
- Reference architecture for retrieval, tools, agents, evals, and observability
- Reusable templates (prompting, tool schemas, eval harness, release checklist)
- Governance guidance (security, privacy, guardrails, review workflows)
Common starting projects
Examples of high-impact, near-term deliverables:
- Customer support agent with grounded retrieval + escalation
- Ops agent for incident triage, runbooks, and knowledge base updates
- AI data product that standardizes metrics, insights, and decision workflows
- Internal analyst copilot for BI + SQL + narrative reporting
- Sales/marketing copilot for proposal generation and account research
FAQ
Is this advisory-only?
No—this is designed to be delivery-driven. Prashant works hands-on with your team to ship.
What if we already have an AI team?
Great—this engagement accelerates them with architecture, prioritization, quality practices, and executive alignment.
Do you work with our stack?
Yes. The approach is stack-agnostic and focuses on patterns: retrieval, tools, evals, observability, governance, and delivery.
How do we start?
Start with a short discovery to select the highest ROI use case, define success metrics, and agree on cadence.
Ready to build and ship?
Book an intro call to discuss goals, constraints, and the best engagement length.