A focused review of your workflows, data boundaries, and team readiness. You receive a ranked list of opportunities, risk notes, and a 90-day roadmap.
Workshops and training
Hands-on sessions for product, engineering, marketing, sales, or support teams. Each workshop uses real tasks from your business and includes prompts, templates, and review habits.
Tool and stack review
Compare AI tools by fit, privacy, integration depth, and total cost of ownership. Useful before signing annual contracts or rolling a tool out to a large team.
Implementation advisory
Ongoing support for RAG pipelines, MCP integrations, coding-agent rollouts, and internal AI tooling. Includes architecture review, vendor evaluation, and rollout planning.
Audience
Who this is for
Founders
Founders and leadership teams who want to identify high-leverage AI use cases, build a realistic adoption roadmap, and avoid spending budget on tools that never ship results. If you are deciding where AI fits in your product, ops, or GTM, this is for you.
Teams
Product, engineering, marketing, sales, support, and operations teams that need hands-on training, workflow design, and safe rollout practices. The focus is on building habits and review gates, not just running a one-off demo.
Operators
Managers and individual contributors who want practical systems for writing, research, automation, coding, or customer workflows. You get templates and workflows you can use immediately without waiting for engineering resources.
Process
What to expect
Week 1
Discovery
We map your current workflows, pain points, data boundaries, and AI readiness. You receive a shortlist of high-value opportunities ranked by effort and impact.
Week 2–3
Plan and pilot
We design a focused pilot with clear success metrics, tool selection, review gates, and a rollout sequence that minimizes disruption to daily work.
Week 4+
Deliverables
You get documented workflows, prompt templates, an evaluation checklist, training notes, and a roadmap for scaling what works across the team.
Outcomes
Typical outcomes
Clarity
A prioritized list of AI opportunities matched to real business outcomes, not generic use cases.
Speed
Working pilots within the first month, plus templates and prompts the team can reuse immediately.
Governance
Review gates, data policies, and evaluation habits that keep quality high as usage scales.
Inquiry
What to include in your message
The more context you share, the faster we can determine if there is a fit. Useful details include your company size, the team or workflow you want to improve, any tools you are already considering, your timeline, and whether you are looking for a one-time audit, a workshop, or ongoing advisory.
Role and company. Who you are and what the team does.
The problem or goal. What outcome are you hoping AI will deliver?
Current tools. Any AI or automation tools already in use.
Timeline and budget. When do you need results and what is the rough budget range?
Response time
Typical response time
Most inquiries receive a reply within two business days. During busy periods, it may take up to four business days. If your request is urgent, mention it in the subject line and include a few sentences about the project so the response can be useful immediately.
For project inquiries, the first step is usually a free 20-minute discovery call to map goals, clarify scope, and decide whether a formal engagement makes sense. Workshops and audits typically start within one to two weeks of agreeing on scope.
About
About Aditya
Aditya Chaturvedi helps founders, teams, and operators adopt AI without the hype. With a background in product engineering and hands-on work across coding agents, RAG systems, MCP integrations, and workflow automation, he focuses on practical stacks that ship. Past work spans early-stage startups and established teams, with an emphasis on measurement, safety, and habits that stick. Read more on the profile page.
Book a call
Free 20-minute discovery call
Not sure where AI fits in your team or product? Book a short discovery call to map your workflows, identify quick wins, and discuss whether a longer engagement makes sense.
Yes. While based in Noida, India, Aditya works with teams across time zones, including the US, Europe, and Asia. Calls are scheduled to overlap with your business hours where possible.
What does an AI adoption audit include?
The audit reviews your current workflows, data boundaries, team skills, and tool stack. Deliverables include a ranked list of AI opportunities, risk notes, a recommended tool shortlist, and a 90-day roadmap.
Can workshops be delivered remotely?
Yes. Most workshops are delivered remotely via video call with shared documents and live demos. In-person sessions can be arranged for teams in the Delhi NCR region or by travel agreement.
How is pricing structured?
Pricing depends on scope and engagement type. Audits and workshops are typically fixed-fee. Ongoing advisory is usually monthly. Specifics are shared after the discovery call once the scope is clear.
What industries have you worked in?
Experience spans real estate, digital media, e-commerce, SaaS, healthcare, telecom, travel, and mobile. The common thread is helping teams adopt AI in practical, low-risk ways.