Find useful AI opportunities
Turn customer conversations, workflow friction and performance data into focused use cases with a clear user benefit.
AI ADOPTION · PRODUCT OPERATIONS · CUSTOMER SUCCESS
Turning customer needs into AI products people can actually use.
I'm Aditi Nair — a customer success and product practitioner bringing nearly eight years of B2B SaaS, implementation and analytics experience into AI adoption and product work. I translate customer problems into practical product decisions, implementation plans and measurable experiences.
Open to AI adoption, product operations and AI customer success roles
WHAT I BRING
Find the signal.
Shape the solution.
Drive adoption.
01Diagnose the high-value need02Translate it into product clarity03Measure adoption and value
Jabalpur, India · Open to remote and hybrid roles
01AI adoption & enablement02Product requirements & journeys03Customer success04Workflow design & implementation05Analytics, business reviews & ROI06Cross-functional delivery & QA
WHERE I ADD VALUE
From customer signal to successful adoption.
My advantage is the bridge between customers and product teams: I can uncover the real need, shape a practical solution and help people use it successfully.
Translate needs into product clarity
Define personas, journeys, requirements, success measures and responsible-use boundaries that teams can act on.
Guide implementation and adoption
Coordinate stakeholders, configuration, enablement, QA and change management from decision through real-world use.
Communicate value with evidence
Use analytics, business reviews and ROI framing to explain performance, risks, trade-offs and practical next steps.
Best-fit rolesAI AdoptionAI Customer SuccessProduct OperationsSolutions & ImplementationProduct Specialist
FEATURED WORK
Product thinking, made tangible.
I use customer insight, structured product judgment and AI-assisted development to move from an ambiguous need to an inspectable solution.
Good morning, Mary
How are you feeling today?
●●●
Talk with AnaYour companion is here
Your day
Morning medicine8:00 AM · Metformin
Family check-inPriya viewed your update
SOS
01INDEPENDENT AI PRODUCT
Amicus Vera
A calm AI companion and family-support experience for older adults.
I defined the problem, users, product principles, journeys, requirements, AI behaviour, decision boundaries, evaluation gates and roadmap — then built and published an interactive prototype and Version 0.2 product documentation.
Public prototypeClickable experience; no live AI or databaseMy scopeStrategy through prototypeCurrent stagePre-validation conceptNext evidenceUsability and safety testing
ORDER SIGNALThis favourite may take a little longer today.
High demand · Estimated delivery in 50–60 minutes
01Wait with clarityKeep the meal you chose
02Cancel earlyRefund without support friction
02PRODUCT & ANALYTICS CASE STUDY
Swiggy Delay Recovery
Reducing uncertainty before a delayed order becomes a trust failure.
I translated a familiar customer frustration into hypotheses, a disclosed 600-order scenario model, an intervention journey and a controlled experiment design with a 10% safety cap.
600 ordersConstructed scenario model—not company dataMy scopeDiscovery through pilot designPrimary outcome30-day reorder rateEvidence standardAssumptions disclosed
EXPERIENCE
Close to customers.
Fluent with product.
Phreesia
Senior Analyst — Client Success
Managed a portfolio of 25 core and enterprise healthcare SaaS accounts, using analytics, business reviews and cross-functional execution to support adoption, resolve escalations and improve workflows.
Rayden Interactive · Phreesia Partner
Analyst — Client Success
Supported onboarding, implementations, configuration changes, quality checks and add-on rollouts while preparing account analytics and client-ready recommendations.
Amazing Greys · BMW Deutsche Motoren · EaganSoft
Customer experience, marketing & engineering
Built an unusually broad foundation across customer relationships, commercial strategy, operations and software delivery — the mix I now bring to AI product work.
WORKING PRINCIPLES
Useful over impressiveStart with the real user and business need.Evidence over assumptionMake hypotheses, limits and results explicit.Care with accountabilityDesign for adoption, safety and human judgment.ABOUT ME
Curious by instinct.
Practical by experience.
My career has moved through software engineering, marketing and customer success. That path taught me to understand both the system and the person using it.
My focus is the adoption, customer and product side of AI: identifying useful opportunities, translating real needs into requirements, supporting implementation, enabling users and measuring value.
I'm strengthening my practical fluency in generative AI, prompt design and responsible AI through structured learning and hands-on portfolio work. My goal is to help useful AI solutions move from possibility to confident adoption.
How I position my work: I separate demonstrated work from untested outcomes. Amicus Vera is a public interactive prototype, and the Swiggy analysis uses a disclosed synthetic dataset; neither is presented as production or company-validated work.
Ownership and AI use: I independently developed the research, product decisions, analysis, prototypes and case-study narratives presented here. I used AI tools to support research structure, iteration, drafting and implementation; I reviewed and edited the outputs and remain responsible for every claim and decision.
B.E. Computer Science8 yrs Cross-functional experience25 accounts Core & enterprise SaaS portfolio