#52 - Building an AI Consulting Business / Training-Led Growth / Outreach Automation

Link to Folder with Everything

2026.08.26.officehours.52

Recording of the Video

Watch on Google Drive

Summary (by Gemini)

The session explored building an Artificial Intelligence consulting business by prioritizing client problems over technical tool implementation.

Establishing AI Consulting Credibility

Consultants with business process expertise possess unique advantages over technical builders when solving organizational problems. Emphasizing domain knowledge builds necessary rapport with clients unfamiliar with new technology.

Driving Client Engagement Results

Automated outreach campaigns targeting specific regional niches significantly increase conversion rates for training engagements. Providing instructional support ensures that Artificial Intelligence adoption actually succeeds within client organizations.

Scaling Operational Efficiency Strategies

1 major decision was made to model internal operations as an Artificial Intelligence-native company of 1 to streamline prospecting. Consultants optimize workflow by using automated systems for network auditing and inbox management.

Next steps

• [Rahul Singh] Send Resource Link: Distribute the resource guide link to all attendees following the conclusion of the session.
• [Rahul Singh] Upload Meeting Assets: Upload the meeting video and transcript to Google Drive and YouTube.
• [Rahul Singh] Clean AI Notes: Review and edit the AI generated transcript for accuracy after the event.
• [Teri Moten] Send training samples: Provide email and training deck samples to participants who connect after the session.
• [Rahul Singh] Host follow-up session: Conduct a workshop on using AI for automating job search and go-to-market processes.
• [Mukesh V] Implement school outreach: Execute an outreach campaign targeting local school districts to offer AI training workshops.
• [Mukesh V] Configure lead capture: Establish lead generation mechanisms and integrate them into the HubSpot environment.
• [Rahul Singh] Share Resources: Distribute the LinkedIn profile link and the PDF worksheet link from the guest speaker to the Luma group.
• [The group] Prepare Session Materials: Define your ideal customer profile and career growth goals in preparation for the next meeting.

Details

• Introduction to Intelcraft 52: Rahul Singh opened the session by introducing Intelcraft 52, a community focused on AI education, and outlined the goal of helping people gain AI skills to improve their employment prospects and entrepreneurial potential (00:11:44). The community curates AI knowledge, shares open-source tools, and encourages members to contribute their own articles and videos (00:13:04).
• Audience Engagement and Background: Teri Moten initiated an interactive session by polling attendees on their professional backgrounds—career professionals or business owners—and their technical approach, whether builders or strategists/trainers (00:15:09). Teri noted their own background is non-technical: they do not build systems but partner with those who do (00:16:22).
• Overcoming Imposter Syndrome: Teri Moten addressed the common feeling of imposter syndrome among those entering the AI field from non-technical backgrounds, encouraging attendees to recognize that by consistently engaging with AI tools over the last 6 to 12 months, they likely possess more knowledge than 80 to 90% of the general population (00:18:35).
• Development of a Business Model: Teri Moten shared their journey of entering the AI space in December 2022 after experimenting with ChatGPT (00:21:30). They initially offered training for free to build credibility, eventually transitioning into a structured business model after realizing the high demand for accessible, non-technical AI instruction (00:22:56).
• Focusing on Business Processes: Teri Moten advised that AI implementation is primarily a people and problem-solving decision rather than a tech-first one (00:29:45). Individuals with a deep understanding of business processes—HR, marketing, operations—are uniquely positioned to identify where AI adds value, better than those who only understand the technical build-out (00:30:55).
• Engagement Statistics and Credibility: In 2025 Teri Moten completed 63 speaking and training engagements, roughly 85% focused on actual instruction, and 53 engagements year-to-date in 2026 (00:33:14). They noted that complimentary or low-cost sessions serve as a vital networking tool for demonstrating expertise and securing future paid client work (00:37:46).
• Training as a Business Entry Point: Teri Moten highlighted training as the most effective entry point for AI consulting — businesses struggle with AI adoption because employees lack the skills to use tools effectively; simply providing access to Copilot, Claude, or ChatGPT does not equate to organizational adoption without instructional support (00:39:59). Most users outside the AI "echo chamber" use LLMs only for basic tasks, unaware of voice mode, agentic workflows, or prompting techniques — a significant opportunity for trainers (00:42:33).
• Sustainability of Consulting Engagements: Rahul Singh and Teri Moten agreed companies are willing to pay for strategy and planning sessions, and Teri advocated multi-session training engagements to foster long-term relationships that lead to ongoing consulting opportunities and a recurring pipeline (00:44:56).
• Leveraging Lived Experience and Kinship: Teri Moten urged attendees to use their unique lived experiences—rural roots, family-business backgrounds, industry sectors—to connect with prospective clients; this "kinship" builds rapport and credibility and allows tailoring AI solutions to specific departmental or industry needs (00:49:05).
• Shift to Problem-First Sales: Teri Moten and Rahul Singh cautioned against pushing specific AI products, arguing clients care about solving business problems, not the underlying technology — identify pain points in conversation before proposing solutions (00:53:47). A systematic follow-up process matters, since prospects may take months to move from interest to paid engagement (00:57:43).
• Utilizing SBDCs and SCORE for Training: Teri Moten suggested contacting Small Business Development Centers (SBDCs) and SCORE, positioning oneself as a workshop facilitator rather than a mentor to be included in training rotations (01:03:08).
• Automated Outreach Strategy and Results: Teri Moten detailed an outreach method using ChatGPT or Claude: defining a two-hour radius, targeting rural school districts, and having the AI research superintendents and CTE advisors — generating 48 highly customized email drafts based on published school calendars in about 10 minutes (01:03:59). Two of 48 districts responded within 48 hours, leading to a paid in-service training engagement and a future booking for October (01:06:11).
• Structuring Training Packages: Training content is roughly 70% standard material and 30% industry-specific customization; sessions should run 90 minutes to two hours, with a follow-up virtual office-hours-style session two to three weeks later to address implementation challenges (01:09:33).
• Leading with Problems, Not Products: The primary value consultants provide is teaching teams to functionally use existing LLMs within their specific roles — a 10% to 40% performance lift that is the "low-hanging fruit" for most organizations (01:15:59). Rahul Singh and Merziyah Poonawala observed that people with sales and marketing backgrounds often succeed faster in AI consultancy for this reason (01:14:05).
• Relationship-Centric Sales Philosophy: The goal of initial outreach is to secure a conversation, not an immediate sale — Rahul Singh referenced the "Sandler Submarine" concept: build rapport, identify pain points, and confirm budget feasibility before pitching (01:22:16).
• Auditing Personal Networks and Inboxes with AI: Teri Moten used ChatGPT to analyze past emails back to January 2020, surfacing "Acres of Diamonds" — forgotten contacts worth revisiting for consulting opportunities (01:26:24). Rahul Singh described using AI to triage his LinkedIn inbox — filtering spam while flagging important unanswered messages (01:28:12), and Teri uncovered an inbound opportunity from an OpenAI global affairs representative by scanning their marketing/spam folder (01:32:05).
• Operating as an "AI-Native Company of One": Rahul Singh encouraged attendees to build an "AI harness" — automations for inbound processing, outbound prospecting, and converting recorded meetings into proposals — modeling the very practices consultants teach their clients (01:34:10). Future sessions will focus on "signal processing" and AI skills for go-to-market and grant development (01:19:12).
• Closing Remarks and Follow-up: Rahul Singh concluded by noting he will share Teri Moten's LinkedIn profile and a PDF worksheet detailing the outreach process. The next session will focus on skills and tools for go-to-market strategies; participants should arrive with their ideal customer profile defined (01:37:30).