APRINCIPLE
Workflow first
Redesign the work before adding more technology.
001Index / Homepage
AI Operations Design/ a discipline, not a deck
AI failsat the workflow,not the model
Subhead
Most organizations do not need more AI advice. They need workflows redesigned so AI can actually hold up inside it.
Ref
REV — 01
Y. 2026
REMOTE / WW
Y. 2026
REMOTE / WW
Workflow-firstTrust-forwardBuilt for real adoptionGovernance in the workLeadership clarityOperating capability, not slide decks
Workflow-firstTrust-forwardBuilt for real adoptionGovernance in the workLeadership clarityOperating capability, not slide decks
Workflow-firstTrust-forwardBuilt for real adoptionGovernance in the workLeadership clarityOperating capability, not slide decks
Workflow-firstTrust-forwardBuilt for real adoptionGovernance in the workLeadership clarityOperating capability, not slide decks
01
The Problem
Most AI efforts stall long before the model is the issue.
The model works. The pilot launches. The interest is real. But the organization hits the same wall: unclear workflows, weak ownership, thin governance, and no shared language for what changes next.
That is why so many AI efforts stop at experimentation. The technology arrives. The operating model does not.
01A
About Sarita
Making complex technology legible to real people — and turning that into programs that move them.
Sarita has been working at the center of media, technology and strategy for over 20 years from drafting global policies on internet governance and cybersecurity, to building brand experiences for B2B and B2C companies.
For the last several years, that work has been AI. Through sNb Studios, she has trained and advised companies across FinTech, PropTech, HealthTech, edtech, real estate, and venture capital on what AI means for their work — not conceptually, but operationally. She has run AI workshops, built agent-based consulting frameworks, and designed curriculum for audiences ranging from nonprofit leaders to startup founders. She also taught data analytics at General Assembly and guest lectured at multiple universities.
Sarita knows how to read an audience, find the gap between what they know and what they need, and build something that closes it. Her approach is workflow-first and trust-forward: make AI usable, governable, and operational inside real organizations — not just in demos and decks.
02
What We Do
We make AI operational.
We help companies and mission-driven organizations turn AI from scattered interest into operating capability.
That means identifying where AI creates real leverage, redesigning the workflow around it, building practical guardrails, and helping leadership make the change understandable enough to use, trust, and sustain.
03
Our Approach
This is AI Operations Design.
AI Operations Design is the discipline of making AI usable, governable, and operational inside a real organization.
We start with workflow. We build governance into execution. We preserve human judgment where it matters. And we create enough clarity for leaders, teams, boards, and stakeholders to move with confidence.
BPRINCIPLE
Governance in the work
Build trust and guardrails into execution, not around it later.
CPRINCIPLE
Leadership clarity
Make the change legible to the people who need to evaluate it, sponsor it, and use it.
04
Who It's For
Built for organizations that are serious about AI and past the curiosity stage.
A strong fit for
- F.01companies that know AI matters but do not have the internal capacity to make it operational
- F.02founder-led and executive-led teams that want systems, not slide decks
- F.03nonprofits and NGOs where trust, oversight, and stakeholder clarity matter as much as efficiency
- F.04organizations that need strategic depth without the drag of a large consulting engagement
05
Offers
Three ways to engage.
I
Assessment
A clear view of where AI can create leverage, where it cannot, and what has to change first.
II
Workflow Design
A redesigned operating flow for a priority use case, built to work in practice.
III
Governance & Leadership Advisory
The guardrails, decision logic, and stakeholder narrative that make adoption credible and durable.
06
Why This Works
The gap is rarely strategy alone. It is structure.
Most firms stop at advice, tools, or training. We work at the operating layer where adoption either becomes real or quietly fails.
That is the work between the pilot and the payoff.
07Closing
If AI is on the agenda but still not working in practice, start with the workflow.
sarita@saritabhatt.com
Remote · Worldwide · 2026