CEO and CTO that has done this and learned the hard way
What I keep seeing
AI moves fast. Reading is not doing. You need to act.
You bought AI tools. The seats sit empty.
Vendor pitches all sound the same. You need a peer.
You need three things to do this week. Not another deck.
I use Claude. I use ChatGPT. I use whatever wins next. Your work lives in your own fileshares like SharePoint, OneDrive, or Google Drive. You own it. You can switch any time.
Partner
Blue Sheen
2026 - Present
AI advisory firm for mid-size companies. Co-founded with Pravina Pindoria. Two partners, every engagement. No juniors handed the work. All my consulting work now runs through Blue Sheen.
Co-Founder & CEO
Tallyfy
2014 - Present
Built Tallyfy from scratch - the most easy and cost-effective workflow automation platform available. Invented Workflow Made Easy - a product that anyone can use to document, run and track business processes. Currently running most operations with AI, with deep knowledge of where it works and where it fails.
Co-Founder
SternStella (in stealth)
2025 - Present
Currently in stealth mode.
Partner
BrightKite.ai (in stealth)
2025 - Present
Currently in stealth mode.
Entrepreneur in Residence
Skandalaris Center, Washington University in St. Louis
2025 - Present
Helping deep-tech and all kinds of entrepreneurs with AI, technology, and operations.
Faculty
OneDay (a Woolf college)
2025 - Present
Teaching cohorts of MBA students about lean operations, automation, and effective AI use. Also teaching creativity and innovation to early-stage founders.
Process Improvement Consultant
Dachis Group
2007 - 2012
Joined via the Headshift acquisition - Headshift pioneered Social Business consulting and Dachis Group acquired it to scale that work. Clients were City law firms, large corporates, blue chip companies, and charities. Problems mixed technology, culture, and process.
Process Improvement and Systems Integration
Atos Origin
2004 - 2006
BPM, systems integration, and process improvement for UK public sector and enterprise clients including a local authority portal, NHS Choose and Book, and VOSA. Stack: Tibco, BEA WLI/WLP, Java.
University of Bath
Computer Science (BSc)
2004
Most companies are stuck at stage 1 or 2. Here's the full picture.
Shadow AI on personal accounts
Managed AI with proper logins and audit trails
From "I use my own ChatGPT" to everyone on one secure system
Typing prompts at 40 WPM
Voice input at 150+ WPM with structure baked in
From hunt-and-peck typing to just talking
Saving prompts in Word docs
AI asks YOU the right questions
From prompt libraries to AI that knows what to ask
Copy-pasting between AI and your apps
AI acts inside your apps directly
From tab-switching hell to AI that just does it
AI knows zilch about your business
AI loaded with your actual data and rules
From generic slop to answers that know your world
AI only runs when someone remembers to ask
AI fires on its own when things happen
From "oh I forgot to run that" to automatic
Three phases. No fluff. Just the work that gets AI running.
Real testimonials from colleagues and clients on LinkedIn
"Amit was my mentor and teacher during my MBA process. I felt like I was decent with AI at the time- but Amit completely transformed how I think about using AI. He explains complex concepts in an easy to understand manner. He is creative in his thinking with practical outcomes. He was also able to help me one on one which was very productive. Highly recommend working with him and just all around great human!
"
Oncology Partner at Guardant Health
"I had the wonderful opportunity to benefit from Amit's mentorship at the Skandalaris Center for Entrepreneurship at WashU. Speaking with him was mind-blowing and deeply inspiring, and it gave me new insights while opening fresh and original perspectives for my project. Amit shared many great ideas, as well as a full range of practical advice (spanning from customer discovery, problem solving, to AI...) and actionable tips on how to implement them effectively. He was extremely generous with his time, fully committed, and truly dedicated to his mission as both a mentor and a role model.
"
Post-Doc Researcher in Neurosciences & Entrepreneur
"Amit is a whirlwind of ideas. And what is better, he is usually sharing them with others. Every idea, even the ones that will not make it into a project in the end, is bound to contain some inspiring nugget that will eventually get you thinking about scenarios and possibilities for days.
"
Staff Backend Engineer at Deliveroo
"There really is only one Amit. With a unique blend of strong technical capabilities, entrepreneurial spirit and deep understanding of user behaviour, Amit has the enviable ability to sniff out problems and then (seemingly) effortlessly create innovative business solutions with infectious enthusiasm and relentless follow through. Equally as important, Amit is absolutely lovely to work with. He's got an unflappable positive outlook, loads of energy and is not afraid to ask the tough questions.
"
Jodi Schneck
Head Teacher at Jodanno Learning
"Amit is a fantastic, lateral thinker. His entrepreneurial spirit is matched by his kindness, presence and ability to generate great enthusiasm. Amit can teeter between the logical and the dreamy with an envious ease.
"
VP, Design at Aruliden
"Amit and I had a lot of fun working on some really interesting web projects. With lots of hurdles and challenges, I often found Amit to rise to the challenge with creative technical solutions that complimented business requirements. There simply is only one Amit.
"
Jay Khan
Delivery Manager at V&A Museum
"Amit has the right attitude for the new way of creating business solutions so the technology is not in the way of the experience. Amit is a one-off diamond.
"
Andrew Woolfson
Head of Knowledge Management
"Amit is a great guy both professionally and personally. Working with Amit was always an eye-opener because of the incredible knowledge and skill he brings to the table. I have worked with Amit on various occasions where I was lucky enough to witness some of the innovative skill and thinking that comes from combining a thorough sense for business and incredible skill in Programming and Architecting.
"
Director at Microsoft
"Amit is an excellent technical thinker who always manages to keep an eye on the human nature of what is being built; he can be relied on for sharp, relevant insights into both user centred process/design and technical decisions, and it is always a pleasure working with him, as well as spending time together socially away from the office.
"
Digital Lead at The Chancery Lane Project
"Amit is technical capabilities are combined with a strong business insight and understanding of user behaviours which makes him a great project collaborator. His focus is on getting the work done and problems solved. I always enjoyed working with Amit on development projects both for his ideas and his helpful positive attitude.
"
Co-Founder & CEO at Clouz
"Amit has a fabulous attitude and is a very capable technologist. I have always enjoyed working with Amit and watching him solve the world's problems one entrepreneurial idea at a time.
"
Delivery Partner at Hippo
"Amit offers an impressive background of technological and creative knowledge. I was introduced to Amit through a networked link and his recommendation proceeded his entrepreneurial-ship and effective working practice. His ideas are sharp and original, and provide clear insight for what will be the next big thing. I very much look forward to working with Amit and anticipate his success for the future.
"
Professor at Durham University Business School
"Amit has great vision and knowledge of web design and web usability. He has a real intuition and passion for usability in web applications.
"
Founder at Payara
"I recommend Amit highly. He is a very smart and dedicated person who is also a pleasure to work with.
"
Programme Manager at MultiChoice Group
"Amit is a truly unique and colourful person who will bring light into any group of people he encounters. His commitment to anything he turns his mind to amazed me and he is not only willing but loves to put himself in the firing line for any new challenges or experiences he can find.
"
Dave H
Advocate/Advisor at DIGTL Markets
"Amit is an open minded and very creative entrepreneur. He has very good communication skills and has always a pragmatic approach in getting things done.
"
Partner at IBM
"Amit worked with me on a paper researching Multi-Agent Systems. I found him very knowledgeable, reliable and committed. I regularly see Amit contributing to forum discussions and is always willing to help anyone above and beyond the call of duty.
"
Freelance Copywriter at The Word Booth
Humans forget 58% of new information in 20 minutes, 75% in a day, 90% in a week. Ebbinghaus measured this in 1885 and Murre replicated it cleanly in 2015. The forgetting curve is the cognitive-science substrate that decides which retention-critical knowledge work AI can structurally replace at a mid-size company.
You are an expert X was a useful crutch when GPT-3.5 was state of the art. On Claude Opus 4.7 and the models coming this summer, persona prompting actively caps the ceiling. It tells the model to stay in a lane just as models are finally getting good at leaving the lane. Describe the work instead.
Drop a CLAUDE.md at the root of a SharePoint site and nothing propagates. Each Claude product reads CLAUDE.md a different way. Four parallel loaders, all pulling from one canonical file, are what makes a single source of truth actually land in every session across Claude Code, Desktop, web, and Cowork.
No export-Project-as-package button exists in Claude.ai. Anthropic ships a GDPR-compliance ZIP of conversations as JSON, no API endpoint for Projects, and a closed-as-not-planned GitHub issue for file downloads. Three workarounds work today. One is a local-disk cousin nobody mentions.
Claude Desktop's Microsoft 365 connector reads email body but not attachments. Three workarounds exist. Two are blocked in most secure tenants by design. The path that lasts is registering your own Entra ID app with Mail.Read delegated. Here is the architecture, the failure modes, and the PowerShell that runs.
Eight viral cost-saving tips for Claude.ai have been making the rounds. Six are sound. Two invented their specific numbers (40 percent saved, 50 times fewer tokens). And the list missed the single biggest cost shift of 2026.
Running Claude on regulated data is a solved problem in 2026 if you pick the right deployment surface and match it with the right contractual paper. Three architecture patterns cover HIPAA, SOC 2, GDPR, FINRA, FedRAMP, and ITAR. Most compliance objections are fixable, and the real leak paths are almost never the model.
Our external auditor asked for three pull request screenshots mapped to Application Change Testing and Change Management Separation of Duties. I pasted the call transcript into Claude and recorded what happened next. The filename-verification moment alone is worth the watch.
Claude Code creates excellent plans but silently skips steps during execution. A three-layer enforcement system with CLAUDE.md rules, a structured verification protocol, and a Stop hook that physically blocks incomplete work fixed the problem after 6 bugs and 15 regression tests.
Prompt caching, batch processing, and model routing can slash Claude API bills by 50 to 95 percent when combined correctly. Anthropic buries the most powerful savings behind prefix-match rules and feature flags most developers never configure.
Claude Code subscription plans hide real cost levers behind context management, model switching, and session hygiene. After months on the Max 20x tier, these specific techniques measurably extend what you get from every session - with terminal proof.
Processes that update their own documentation sound impossible until you see the architecture. An LLM compiler reads raw organizational data and writes structured process wikis that compound institutional knowledge automatically. Here is how to build it and what breaks.
Feeding the right background data into prompts so AI isn't guessing.
Making sure AI can grab what it needs, even when data's scattered.
Small model for grunt work, big model for thinking. Match the tool to the job.
Splitting big problems into tiny prompts. One thing at a time.
Building things that actually run in production, not slide decks.
When one prompt won't cut it - chaining dozens together.
When AI should just click buttons and move the mouse for you.
Baking in checks so AI doesn't go off the rails.
Prompts and instructions that improve themselves automatically.
Most AI fails because the problem was badly defined. I've spent decades on this.
Sometimes a simple script beats a fancy prompt. Knowing when matters.
Running many prompts at once without them stepping on each other.
Tech changes are easy. Getting people on board is the hard part.
When should AI fire? On a schedule? On an event? On a hunch?
I work with everyone from college students to C-suite execs.
