Fractional AI Leadership & Advisory
Engagement protocol: CAIO-Advisory // Deployment ready
Strategic clarity
Give your AI ambitions a clear direction.
Your business may already be experimenting with AI. The next step is deciding where it belongs, what deserves investment, and how to make it work reliably within your organization.
01 / DISCOVERY
Which processes should you automate first?
02 / CAPITAL ALLOCATION
Should you buy an existing product or build custom?
03 / DATA TOPOLOGY
How should AI connect to your business data?
04 / ADOPTION & GOVERNANCE
Who will guide developers and help employees adopt it?
Integrated resolution
Bundl brings these decisions into one engagement. We connect business priorities, AI strategy, and implementation so every initiative has a clear purpose, an owner, and a way to measure progress.
Leadership
Meet Miten Mehta
Advisor & Chief AI Officer, Bundl
Miten Mehta brings more than 35 years of technology leadership experience, spanning digital transformation, AI innovation, partnerships, and business growth.
Track record & previous roles
Co-founded eComLive (acquired by InfoSpace), MoConDi (acquired by MobileMedia), and co-founder of enterprise cloud provider KloudData.
At Bundl, Miten leads the AI advisory engagement, working with your leadership team to set priorities and with the implementation team to guide execution. When Bundl provides the engineering team, he works alongside Miloshi Mehta or Krish Shetty to connect AI strategy with business requirements and delivery.
Engagement models
Two ways to work with Bundl
Choose the engagement structure tailored to your internal technical capacity.
1. Fractional AI leadership for your development team
Your engineers build. We provide AI strategy and works with them to execute.
You have developers, an internal product team, or an existing technology partner. You need experienced AI leadership to help them prioritize opportunities, choose the right approach, and move implementation forward.
Miten works with your business and technical leaders to translate your objectives into a practical AI roadmap. He guides the key decisions, participates in agreed implementation reviews, and helps your team resolve challenges as the work progresses.
What is included
- AI opportunity assessment: Identify use cases worth pursuing.
- Strategy and prioritization: Define what to build first and why.
- Technology evaluation: Assess models, platforms, vendors, and development approaches.
- Architecture guidance: Plan data access, integrations, workflows, and system behavior.
- Implementation planning: Translate priorities into requirements, milestones, and actionable backlog.
- Execution guidance: Work with developers through scheduled reviews and working sessions.
- Quality evaluation: Define how outputs and actions should be tested.
- Deployment planning: Review readiness, dependencies, and rollout requirements.
- Knowledge transfer: Help your team understand and maintain what it builds.
Your development team handles implementation. Miten provides strategic and technical guidance throughout the agreed scope.
Ideal for: Companies with engineering capacity that need senior AI direction, specialist guidance, or help advancing an existing initiative.
2. A fractional AI team to build and deploy for you
We lead the AI strategy & provide the team to deliver it.
You want AI working inside your business, and you need the people to take it from discovery through deployment.
Miten works with Bundl's engineers and either Miloshi Mehta or Krish Shetty to deliver an integrated engagement. Together, we understand the business problem, define the solution, build the agreed systems, connect them to your tools, and support rollout.
What is included
- Business discovery: Understand your objectives, workflows, and pain points.
- AI strategy: Prioritize opportunities and define the initial use case.
- Solution design: Establish requirements, workflows, and technical architecture.
- Project coordination: Keep business decisions and engineering work connected.
- Development: Build the applications, assistants, agents, or automations required.
- Integrations: Connect the solution to agreed business systems and data sources.
- Testing: Evaluate quality and behavior against defined acceptance criteria.
- Deployment: Launch in the agreed environment.
- Onboarding: Prepare your employees to use the solution.
- Ongoing improvement: Monitor and refine the system where included in scope.
You work with one coordinated team for business requirements, AI leadership, and engineering delivery.
Ideal for: Companies without an internal development team, or businesses that need additional capacity to deliver a defined AI initiative.
Capabilities
What we help you build
From tactical internal automations to core customer-facing differentiators.
AI assistants for your employees
Help employees find information, prepare work, and complete routine tasks using approved company knowledge.
Applications: Internal knowledge assistants, policy search, sales preparation, customer account summaries, operational support.
AI agents for business workflows
Design systems that can carry out defined steps across your business tools—with clear permissions, approval points, and escalation rules.
Applications: Lead qualification, follow-up coordination, customer onboarding, document routing, task management.
Customer-facing AI experiences
Explore AI support across channels your customers use, with responses grounded in business data and clear handoff to human operators.
Applications: Customer support, appointment coordination, product guidance, inquiry resolution.
Document and information processing
Reduce repetitive manual work involved in reading, classifying, validating, and extracting information from complex business documents.
Applications: Invoice processing, application screening, document completeness checks, structured data extraction.
AI capabilities inside your product
Identify features that solve specific customer pain points while strictly preserving your software unit economics and margin profile.
Applications: Intelligent search, embedded assistants, recommendations, workflow accelerators.
Business information & decision support
Explore secure ways to make approved business data accessible, conversational, and transparent for executives and operators.
Applications: Reporting assistants, executive summaries, exception alerts, variance root-cause analysis.
These are examples of opportunities we can assess together. The right solution depends on your processes, data, systems, and agreed scope.
Use cases & problems
Start with the problem your business needs to solve.
We map real organizational friction directly to structured AI interventions.
“Our salespeople spend too much time on follow-ups and CRM updates.”
Intervention pathway
Explore an assistant that prepares follow-ups, summarizes conversations, updates approved fields, and helps the sales team prioritize its next actions.
“Our employees keep searching for the same information.”
Intervention pathway
Explore an internal assistant connected to approved documents and policies, with access controls, audit logs, and clear references back to source materials.
“We receive more documents than our team can process efficiently.”
Intervention pathway
Explore classification, data extraction, completeness checks, and routing, combined with structured human-in-the-loop review steps for uncertain records.
“We have an AI pilot, but it isn't ready for everyday use.”
Intervention pathway
Review the gaps between the pilot and production deployment, then define the engineering roadmap to harden quality, permissions, integrations, and monitoring.
“We want AI inside our product, but need help deciding what to build.”
Intervention pathway
Identify concrete customer problems AI could solve, then rigorously evaluate the expected value, technical feasibility, and running token/infrastructure costs.
Process
How we work
A disciplined, step-by-step engagement from assessment through operational adoption.
STAGE 01 · DISCOVERY
Understand your starting point
We begin with your objectives, processes, software, data, and team capacity. We identify the business owners who need to be involved and the constraints that will shape delivery.
STAGE 02 · PRIORITIZATION
Choose the opportunity
We prioritize an initial use case based on business value and feasibility. Together, we define success measures, dependencies, and the boundaries of the engagement.
STAGE 03 · SPECIFICATION
Design the solution
We map the workflow, select the technical approach, and agree on responsibilities, milestones, and acceptance criteria. You understand what will be built, who builds it, and how it is reviewed.
STAGE 04 · EXECUTION
Build and evaluate
Your developers or Bundl's engineers implement the solution. Miten guides the AI direction and participates in agreed reviews, evaluating against defined criteria and representative tasks.
STAGE 05 · LAUNCH
Deploy and support adoption
The responsible delivery team launches the solution in the agreed environment. Documentation, training, and operational handover are included according to engagement scope.
STAGE 06 · OPTIMIZATION
Measure and improve
We review performance against the baseline and business objectives. That empirical evidence informs ongoing improvements and the next stage of technical investment.
The Bundl advantage
Why work with Bundl?
Rigorous engineering discipline anchored in executive-level business accountability.
Senior leadership close to implementation
Miten connects executive priorities with the decisions that shape the solution. An agreed review cadence keeps high-level AI direction rigorously connected to daily delivery.
Support that fits your team
Work with the developers you already have, or bring in Bundl's engineers. The engagement reflects the exact capability and capacity your business needs.
Business & engineering working together
When Bundl delivers, Miloshi or Krish works alongside Miten and the engineers to keep requirements, executive priorities, and implementation continuously aligned.
Technology chosen around your requirements
We assess technical approaches strictly against your specific use case, existing tech stack, security boundaries, and long-term operating costs.
A clear path to deployment
Defined responsibilities, sprint milestones, acceptance criteria, and rollout planning make every step clear throughout the entire engagement lifecycle.
FAQ
Frequently asked questions
Clear answers on how fractional leadership and engineering delivery are structured.
A fractional Chief AI Officer gives your business access to senior AI leadership without the commitment of a full-time executive hire. In our engagement, Miten helps you identify high-impact opportunities, choose the right technical approach, and guide implementation, whether using your developers or Bundl's engineering team.
Miten leads the strategic and advisory elements of the engagement. He works directly with your executive team to prioritize use cases, helps define system architecture and integration requirements, and participates in agreed reviews with the implementation team. If Bundl provides the development squad, he collaborates directly with Miloshi Mehta or Krish Shetty to ensure delivery aligns with business objectives.
Yes. Model 1 is specifically designed for companies with an existing technical team. Miten acts as an advisor and strategic co-pilot, helping your engineers make informed architectural choices, evaluate platforms, establish quality criteria, and resolve blockers throughout implementation.
Yes. Under Model 2, Bundl provides both executive AI leadership and full-stack engineering delivery. You work with a unified squad that handles discovery, technical design, custom software development, integrations, testing, and deployment to your operational environment.
No. Many clients start with business friction—such as time-consuming workflows, manual document reviews, or customer service delays—rather than a defined technical spec. Our discovery phase evaluates your processes and identifies where AI creates measurable ROI before any code is written.
Yes. We frequently evaluate pilots that proved a concept but stalled before production. We assess output quality, latency, infrastructure cost, data security, and integration gaps to turn experimental proofs-of-concept into reliable enterprise systems.
Generally no. We prioritize solutions that augment and integrate directly with your current software stack—such as your CRM, ERP, document stores, and ticketing systems. We only advise software changes if existing tools create an insurmountable bottleneck.
Engagements are structured either as a defined-scope project with explicit milestones or as a monthly fractional retainer. Pricing is determined by the level of advisory cadence required and whether Bundl provides full-stack engineering delivery. We outline all fees transparently after our initial priorities discussion.
Initial consultation
Bring experienced AI leadership into your business.
Whether you need direction for your developers or a team to build and deploy, Bundl helps you take the next step with clear priorities and accountable delivery.
Tell us what you want to improve, what systems you use, and whether you have an engineering team. We'll discuss where AI could help and what an engagement should include.
