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.

Outcome focus
Ship
Production-ready agents and data products
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
Most popular

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

Tap a question to expand or collapse it.

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.