AI for Business — Half-Day Workshop
Live, hands-on session for business owners. We travel directly to your local business or you can join us via Zoom. One niche per event. Walk out with a real workflow you can implement that week.
On-site at your business or Live via Zoom
May 17, 2026 · Northampton, MA · 12 seats only
Register Now →Corporate AI Training for Teams
3-session program built for your team — on-site at your location or via Zoom: Session 1 maps workflows & scores bottlenecks. Session 2 teaches the tool stack & deploys a live system. Session 3 scales it with a 90-day roadmap and internal AI champion training.
On-site or Live via Zoom · 3 sessions
Best for: Regional employers with 10–100 staff
Join Waitlist →ABAS Academy — Self-Paced AI Course
10 modules. 0 fluff. From orientation to exit-ready operations. Includes structured prompting, the 4-part system build, automated reporting, AI agent deployment, Voice AI receptionists, RAG knowledge systems, and a 90-day roadmap. Built by the same person who built PropAuto and the Larri system.
Self-paced · Online · Cohort-style
Includes: Video curriculum, prompt library, workflow templates, Notion toolkit, community access
Join Waitlist →AI-Ready Business Certification
20-question operational audit → Chrishawn reviews & maps all workflows → written report with top 3 opportunities, ROI estimates, and tool recommendations → certified AI-Ready badge for your website. 5–7 business day turnaround.
Async audit + written report + certification badge
Badge validity: 12 months · Upsell path to full agency engagement
Join Waitlist →“What this is, what it isn't, and what you'll build.”
- ›The only thing that matters: working systems that run without you
- ›Why you don't need to code (and when you might want to)
- ›Your learning environment setup: n8n, Supabase, Claude API, Notion
- ›How to use the prompt library throughout this course
“Find the $18,200 problem in your business before building anything.”
- ›The 5-question workflow audit (do it for your business right now)
- ›The 3 universal bottlenecks: lead capture, follow-up, reporting
- ›Bottleneck scoring: frequency × time × error rate × cost
- ›Choosing your first build: the highest-ROI target
- ›The analogy test: if you can explain it like an employee's job, you can automate it
“Four tools. That's the whole system.”
- ›n8n: your automation backbone (the plumbing)
- ›Claude API: your AI worker (the brain)
- ›Supabase: your memory layer (the filing cabinet)
- ›Resend: your communication layer (the voice)
- ›How the four connect: every system uses this same architecture
- ›What you don't need (and why people waste money on the wrong tools)
“A vague instruction produces a broken system. A precise one produces a deployed one.”
- ›Why most people's AI "doesn't work" (they're giving it bad instructions)
- ›The ABAS Prompt Structure: Role → Context → Rules → Output Format
- ›Writing your first system prompt: AI lead qualifier
- ›Bad version vs. good version: live comparison with real output difference
- ›Prompts that stay consistent: deterministic vs. creative outputs
- ›Building a prompt library: save, version, and reuse across systems
- ›Prompt governance: when a prompt breaks in production and how to fix it
“Build the Lead → Intelligence → Decision → Action engine.”
- ›The 4-part architecture: Trigger → Intelligence → Decision → Action
- ›Trigger: setting up your intake point (website form, email, missed call)
- ›Intelligence: the AI qualification layer
- ›Decision: the scoring layer (rules + thresholds — NOT just AI)
- ›Action: routing logic (high value → alert; medium → queue; low → nurture)
- ›The log layer: every system must write its own audit trail
- ›Testing: how to break your system before a lead does
- ›Going live: production checklist before you flip the switch
“The report that builds and sends itself.”
- ›Why reporting is always the last thing automated (and why it shouldn't be)
- ›The reporting architecture: data source → formatter → PDF → delivery
- ›Connecting to your data (Google Sheets, AppFolio, QuickBooks, Airtable)
- ›The AI formatting layer: turning raw numbers into readable narratives
- ›PDF generation: building the template once, running it forever
- ›Scheduled delivery: setting the trigger so it runs on the 1st without you
- ›The PropAuto model: how this exact system saves 40+ hours/month
“Deploy an AI worker that handles a real job in your business.”
- ›What an AI agent actually is (not the hype version)
- ›The 3 agents every service business needs: lead qualifier, customer responder, ops monitor
- ›Building a lead qualifier agent: from prompt to production
- ›Building a customer-facing chatbot: the AI receptionist
- ›Giving your agent tools: web search, CRM lookup, calendar booking
- ›Prompt governance for agents: update behavior without breaking the system
- ›When to use an agent vs. a workflow (a critical distinction)
“Build the business so it runs without you — and is worth more when you sell.”
- ›The Ondrej principle: every process requiring the founder is a liability at exit
- ›The VA test: can a $15/hr person run ops for 2 weeks without asking you a question?
- ›Documenting what you built: the SOP that makes systems transferable
- ›Metrics that matter: MRR, churn, CAC, LTV, founder dependency score
- ›The acquisition lens: what buyers look for and how your systems prove it
- ›Your 90-day automation roadmap: prioritized, sequenced, revenue-first
“Turn missed calls into booked appointments — 24/7, without staff.”
- ›The missed call problem: why 62% of calls to service businesses go unanswered
- ›Voice AI architecture: speech-to-text → AI decision → text-to-speech
- ›Building your first AI receptionist: Vapi + Claude + n8n integration
- ›Call routing logic: qualify → book → escalate → log
- ›Handling edge cases: angry callers, complex requests, emergency detection
- ›CRM integration: every call auto-logged with transcript and lead score
- ›The Larri model: how a voice agent drove $11K NET in month one
- ›Cost analysis: voice AI vs. answering service vs. missed revenue
“Give your AI instant access to your business knowledge — so it answers like you.”
- ›Why generic AI gives generic answers (and how to fix it)
- ›RAG explained: retrieval-augmented generation without the jargon
- ›Building your knowledge base: SOPs, pricing, FAQ, policies, playbooks
- ›Vector embeddings: how AI 'remembers' your documents
- ›Supabase pgvector setup: your private knowledge store
- ›Connecting RAG to agents: chatbots that actually know your business
- ›The internal wiki agent: answer team questions from your knowledge base
- ›Keeping knowledge current: update triggers and version control for docs
Yes. The workshops and Academy are built for operators, not developers. You'll never write code. You'll learn which tools to use, how to describe what you need, and how to evaluate whether something is working — that's 90% of what matters.
Workshops are live, niche-specific, and focused on one use case per session — available in-person in Pioneer Valley or via Zoom. The Academy is a full self-paced curriculum covering 6 modules across your entire business. Most people start with a workshop and then join the Academy.
Yes — that's what Corporate Training is for. We'll run 3 sessions on-site at your location or via Zoom, tailored to your industry and your actual workflows. Pricing is per engagement, not per seat.
It's an operational audit that proves you've mapped your automation opportunities and taken action. You get a written report, an implementation roadmap, and a badge you can display on your website and marketing. It's also the fastest path to working with ABAS on a build — we already know your system.
We're targeting Q3 2026 for the founding cohort. Waitlist members get 30–50% off founding pricing and early access before public launch.
Workshops and consulting are available in-person across Pioneer Valley or live via Zoom for remote businesses. ABAS Academy and Certification are fully online and self-paced.