AI on your terms.
Explore local models with Ollama, a working interface with Open WebUI, and document workflows shaped around your infrastructure, information access and review requirements.
Explore on-premise AI ↗HUMAN EXPERTISE. NEW POSSIBILITIES.
Build capable people.
Connect your processes.
Transform the way you work.
THE WORK BEHIND THE POSSIBILITY
From the environment where AI runs to the work your people do every day. Bring the right pieces together around a real business need.
Explore local models with Ollama, a working interface with Open WebUI, and document workflows shaped around your infrastructure, information access and review requirements.
Explore on-premise AI ↗Connect applications, route work and handle exceptions with n8n and purposeful automation. Keep people involved where decisions matter.
Discuss a process ↗Turn reporting, requests, approvals and information into connected business solutions with the Microsoft tools your team uses.
Plan virtual server environments around your applications, users and client requirements—including work involving UK and Canadian clients.
Plan your environment ↗Tools are selected to suit the task, the people and the working environment.
A practical toolkit
Choose the right tools for the work in front of you. Explore the platforms across my teaching and implementation practice, from everyday AI to private deployments and connected business processes.
Showing 6 tools for everyday AI and research.
Turn a practical question into a useful draft, structured analysis or small business tool, then check the result against your inputs.
Work through documents, explain financial information and develop practical applications, with clear instructions and a review of the resulting work.
Explore everyday AI tasks, compare different approaches and create reusable Gemini Gems that follow instructions for a recurring business need.
Bring AI into familiar Microsoft work, from drafting and summarising to analysing information, with examples matched to the available product features.
Explore research questions, find relevant sources and build an initial briefing, then verify important statements against the original published material.
Ask questions of selected documents, compare information across sources and develop useful briefings while keeping the supporting material close at hand.
Explore running language models on your own computer or server, with practical attention to hardware, model selection and the surrounding data workflow.
Give local AI a usable interface so people can work with selected models and documents as part of a planned deployment.
Use voice dictation to capture thoughts and prepare working text, then review names, figures and wording before using it in business communication.
Turn recorded speech into a transcript for further work, with review of important details before producing meeting notes or document drafts.
Explore multilingual speech and conversational voice applications, choosing a practical use case and checking how well the output serves its audience.
Prepare documents for appropriate sharing by identifying sensitive information and checking that redaction actually removes the information from the resulting file.
Connect information intake, checks, approvals and reporting into a repeatable workflow, with visible steps that make failures easier to investigate.
Explore visual automation by connecting applications and moving information through defined steps, with clear conditions for exceptions and human review.
Understand how assistants can connect with tools and data, then examine access, responsibilities and review points before allowing actions to run.
Package instructions and reference material into a reusable assistant for a defined task, then test typical requests and likely failure cases.
Create a reusable assistant for recurring work by setting clear instructions, supplying relevant context and refining the response through practical examples.
Organise related documents and working instructions around a business task so analysis, drafting and follow-up work share a consistent starting point.
Connect recurring business steps across the Microsoft environment, such as collecting information, requesting a review and distributing an updated report.
Explore focused business applications that give people a clear way to enter information, follow a process and work with shared data.
Turn business data into useful reporting and interactive dashboards, with attention to definitions, the right visual and the question being answered.
Bring shared information and documents into a planned Microsoft workflow, with clear ownership and access appropriate to the people using it.
Explore assistants within the Microsoft ecosystem, starting with a specific business task and defining what information and actions the assistant needs.
Make repeated spreadsheet steps more consistent through scripts, using clear inputs and checks before connecting the task to a wider workflow.
Build practical scripts for analysis, file processing and business automation, with AI helping prepare the code and people checking its behaviour.
Explore Python analysis in a notebook, moving from a practical question and sample data to calculations, charts and an explanation of results.
Turn a Python analysis or calculation into an application with useful inputs and outputs that colleagues can understand and test themselves.
Develop an initial business application from a clear description, then refine the workflow, inspect its behaviour and test the important user journeys.
Explore AI-assisted app building through a focused business problem, turning requirements into a working interface and improving it through hands-on testing.
Connect Google Workspace tasks such as collecting responses, preparing documents and sending reminders, with explicit conditions for each step in the process.
Build a first presentation from organised ideas, then strengthen the narrative, check its figures and refine each slide for the intended audience.
Turn a written explanation into a useful diagram, selecting a visual that makes the relationships clear without distracting from the underlying message.
Prepare visual communication for a business audience, using AI-assisted design as a starting point and reviewing wording, layout and brand consistency.
Explore turning a useful message into a short video, with attention to the script, supporting visuals and suitability for the intended audience.
Explore audio summaries of selected source material as another way to learn and communicate, while checking important details against the underlying documents.
Develop visual ideas from a clear brief, then select and refine the result according to its purpose, accuracy and intended context.
Example workshop task: Turn a source document into a concise briefing, then verify the statements that matter.
LEARN. PRACTISE. PUT IT TO WORK.
Find a practical learning programme that fits your work. Check the format, sessions and enrolment status before applying.
Checking the latest programme details…
Applications are reviewed before a place is confirmed. A waitlist entry does not reserve a place.
LESS WATCHING. MORE DOING.
Practical AI and automation learning for professionals, business teams and institutions. Bring curiosity. Leave with something you understand.
THE NEXT CHAPTER
Paid online cohorts for professionals ready to apply AI and automation to their work. Guided practice, useful workflows and shared learning.
Explore upcoming programmes See the current schedule for programme details, dates, fees and availability.Tailored workshop pathways
Start with the tasks your team faces. These pathways combine relevant tools with practical exercises and review, shaped around the audience, available time and working environment.
Build the confidence to use AI for research, documents and recurring communication, with a repeatable way to check the work.
Understand how local AI fits into your work and explore document and voice workflows with appropriate data handling.
Move from an isolated AI task to a connected process, with a clear route for exceptions and decisions that need people.
Connect information, analysis and action across the Microsoft tools your organisation already uses or plans to adopt.
Turn a practical requirement into a small working application or script, and learn how to check that it does the job.
Apply AI and automation to familiar finance, audit and professional workflows while keeping calculations, evidence and judgement visible.
A PRACTICAL ROUTE FORWARD
A useful transformation starts with a defined problem, a manageable first step and people who can carry it forward.
Map the task, people, information and constraints. Agree what a useful result looks like.
Develop a focused pilot. Test the logic, permissions and exceptions with representative work.
Help the team understand and use the solution through practical training and documentation.
Review what happens in use. Refine the process and decide what is worth extending.
MEET YOUR TRAINER & TRANSFORMATION PARTNER
I’m Jagjeet Singh Gulati,
founder of With Singh Private Limited.
PROFESSIONAL QUALIFICATIONS
CA|CMA|CS|ACMA CGMA|LL.B.
ERM Certified (ICAI)IFRS Certified (ICAI)
My work brings together 25+ years of finance experience and extensive hands-on work in business automation, reporting and Excel. That journey includes VBA, Python, SQL and Power BI—and now a focus on practical AI training and transformation.
I connect technology choices with the tasks, responsibilities and decisions that business teams actually handle.
NOTES FROM THE WORKBENCH
A few practical starting points, plus what is coming next in training.
Look beyond the model to documents, interfaces, connections and access.
Use voice dictation as a starting point, with review before the work moves on.
Browse upcoming cohorts and workshops, view their schedules and register your interest.
Register your interest ↗A FEW THINGS TO KNOW
Professionals, business teams and institutions looking to apply AI in practical work. Finance and governance are areas of particular experience; we can also discuss wider business processes and team requirements.
Some AI applications can run on local infrastructure. Suitability depends on the task, model, hardware and information involved. We start by identifying what should run locally and whether any connected service sends information elsewhere.
We can explore reporting, applications, approvals and information management using Power BI, Power Automate, Power Apps and SharePoint. The approach depends on your existing setup, licensing and access requirements.
The programme schedule lists current cohorts and workshops. Each listing shows whether applications are open or whether you can join an interest list while dates are being finalised.
LET’S MAKE THE NEXT STEP PRACTICAL
A team to train. A process to connect.
An AI idea to explore. Let’s begin there.