OA Management Team Meeting
AI Strategy, Agent Architecture & Dashboard Rollout
Meeting Purpose
Strategic alignment on AI integration across OA
Brad convened the full senior leadership and management team for a comprehensive strategy session after 45-60 days of deep AI exploration. The meeting covered the strategic vision for AI agent integration, internal and client-facing dashboard rollouts, management transformation, marketing and sales evolution, and next steps for execution. This was a pivotal meeting establishing how OA will position AI as a core differentiator.
Key Decisions & Takeaways
Agents aggregate data from playbooks, Time Doctor, GChat, CSAT, and HubSpot. One VA can manage multiple clients with agent support.
All departments to submit Google Docs with current data needs, HubSpot screenshots, and wishlist specs to Alva.
Custom dashboards with VA performance, ROI calculator, KPIs, ticketing, and billing. Hosted free on Cloudflare. Initial tests with Ramble, Zach, and Chip.
Start with pest control vertical. Goal: 100 pest control clients like Active Armor in 6 months. Hyper-niche messaging, lead magnets, and agent-driven outbound.
AI will pre-analyze prospects, generate strategic analyses, create dedicated webpages with walkthroughs, and send them BEFORE the sales call. No more dead-lift discovery calls.
Agents will monitor VA playbook updates. Non-compliance will be flagged automatically. No exceptions.
90-minute session covering new business growth, enterprise partnerships, AI sales integration. Attendees: Summer, Mars, OMs, Jess, Stephen.
Open Questions & Unresolved Items
Meeting Participants
OA Senior Leadership & Management Team
Team Check-In Highlights
Personal wins and one-word check-ins
Brad framed the current moment as parallel to the birth of the VA industry a decade ago. Customers are aware of AI but uncertain about applications and security. The difference: AI adoption is accelerating much faster and is far more complex.
The core shift: Users will stop logging into individual apps (HubSpot, Monday.com, etc.). AI agents become the primary interface, executing tasks across software via APIs and delivering exactly the data requested. OA will place agents between VAs and software, allowing one VA to manage multiple clients.
Platform strategy: Dual-path approach. Experimenting with Google Gemini (leveraging enterprise Workspace licensing) while preferring Claude's power. Goal: build agent shells in Google Workspace but use Claude "brains" where needed.
Brad demonstrated Sterling AI, his personal AI agent running on a Mac Mini with a Claude brain and Telegram interface, connected to 50+ applications. Sterling was connected to Google Chat and successfully interacted using Brad's tone, validating its role in asking managerial questions and surfacing operational blind spots.
Key validation: An AI agent successfully automated Sheila's workflow of combining 14 spreadsheets into one consolidated dashboard. Built in 90 seconds on Cloudflare. Sheila's role shifts from manual assembly to quality assurance and oversight.
Recommendation: Brad strongly recommended the AI Daily Brief podcast for the team. An internal agent is being built to scrape and summarize episodes automatically.
Current pain: OA is hitting process ceilings with manual data aggregation. Team members spend hours pulling from scattered sources (HubSpot, Thinkific, spreadsheets, Monday.com).
Solution: Tiered internal dashboards for Team Leaders, OMs, AMs, and Service Delivery. These centralize scattered data and reduce reliance on manual report-building.
Management "Partners": AI agents will act as management partners that:
- Aggregate data from VA playbooks, CSAT surveys, Time Doctor, Google Chat, and calendars
- Automatically surface issues (missed client meetings, outdated playbooks, performance drops)
- Communicate directly with VAs on behalf of leaders
- Enforce zero-tolerance policy on playbook non-compliance
Brain dump request: All departments to create a Google Doc with their current data sources, what they look at daily, what they wish they had, and screenshots of current dashboards. Submit to Alva by July 6.
Most OA clients struggle with extracting meaningful data about their VA's performance. AI will build custom, real-time visual dashboards for each client.
Features:
- VA activity summaries and performance metrics
- Time Doctor data integration
- ROI module calculating savings vs. US equivalent salaries
- Integrated ticketing system
- Billing history and account info
- Industry-specific news feed
- AI chatbot for quick questions
- Password-protected, mobile-friendly (can be added to home screen)
Infrastructure: Hosted on Cloudflare Pages with D1 databases. Zero monthly cost, requiring only time and effort to build. Initial testing with close clients: Ramble, Zach (FiveTraks), and Chip.
AI Advisory rollout: Protect against AI vendor displacement by proactively positioning OA as a trusted AI advisor to existing clients. Mass outreach email with questionnaire planned.
Sequential Domination framework: Instead of spreading thin across industries, go deep in one vertical at a time. Starting with pest control.
Sales process reversal: Instead of discovery calls from zero, AI agents will:
- Pre-analyze the prospect's industry when they book a call
- Generate a strategic analysis of their likely challenges
- Create a dedicated webpage with the analysis + walkthrough video
- Send it to the prospect BEFORE the call
- Provide talking points and strategy recommendations to the sales rep
Channels: FlowChat for DM automation, Facebook groups (Workiz, Housecall Pro), industry-specific lead magnets ("Lawn Care Biz Optimizer"), email campaigns, and Brad's personal brand content.
For Leo/Cleo (recruiting): Brad committed to building a recruiting dashboard that consolidates all sourcing data, interview tracking, and candidate flow. Leo and Cleo to provide their current workflow and data sources so a dashboard can be generated.
Custom software: OA is expanding beyond VAs to build custom software, interactive dashboards, and entire platforms for clients. Proof-of-concept projects already in progress (Active Armor dashboard, band digital assets).
Financial agents: Queenie and Ivy to provide current spreadsheets and SOPs so the team can begin architecting the finance agent workflow for automated reporting.
AI Agent Architecture
How agents sit between VAs and software
Before vs. After: Team Leader Capacity
- 15 VAs per Team Leader
- Manual GChat monitoring
- Manual Time Doctor review
- Manual playbook auditing
- Scattered data sources
- Reactive issue detection
- 30 VAs per Team Leader
- Agent monitors all chats
- Agent flags productivity drops
- Auto playbook compliance
- Unified dashboard
- Proactive alerts
Data Aggregation Flow
How agents pull and consolidate data
Sales Process Revolution
From dead-lift discovery to pre-analyzed engagement
Action Items
9 items from meeting discussion
Full Transcript
2 hours 20 minutes | 12 speakers | 224 segments