First step
AI Workflow Review
A focused diagnostic for owners who know AI matters but need clarity on where it should enter the work.
- Workflow map
- Risk and data-boundary notes
- Shortlist of practical AI use cases
Specialist small business AI consulting
I help specialist agencies, consultancies, and founder-led teams turn AI experimentation into safer, repeatable workflows for content operations, research, delivery, review, and decision support.
Workflow-first AI
Trust and data boundaries
Founder-led coaching
Practical adoption, no theatre
What this is
Khodiyara AI Limited helps specialist small businesses turn messy, repeatable knowledge work into practical AI-supported workflows their teams can actually use.
The work is hands-on: finding useful workflows, building lightweight systems, training people to use them, and leaving the business more capable than it was before. The aim is not to make AI impressive. The aim is to make work clearer, faster, safer, and easier to repeat.
AI should leave your business more capable after the consultant has gone.
Who this helps
Offer
First step
A focused diagnostic for owners who know AI matters but need clarity on where it should enter the work.
Build
Turn one workflow into a working process with prompts, templates, review steps, and handover support.
Support
Ongoing founder-led help to improve workflows, coach the team, and keep adoption grounded in evidence.
Relevant work
Recent work includes AI workflow enablement for We Celebrate, an agile marketing agency serving investment and trading campaign clients.
The work is the shape Khodiyara AI is built for: judgement-heavy commercial delivery, content operations, research, review discipline, data boundaries, and repeatable workflows that people can actually own.
Experience
The work is led by Jeetesh Khodiyara, a product and AI leader with 20+ years across B2B SaaS, fintech, payments, consumer banking, regulated platforms, and specialist small-business AI workflows.
That background matters because AI adoption is rarely just a tool choice. It touches operating model, data, product judgement, team behaviour, risk, and customer promises.
Use cases