Mr. Mango AI Council
A governed AI program that ships one real outcome every month—and proves its value in time, money, and risk.
What you get (every month)
45-minute Council session
Executives + process owners with agenda, decisions, next ship date.
1 shipped outcome
Chatbot, agent, or policy/report with a runbook your team can operate.
Impact dashboard
Hours saved, $ value created, and risk metrics—updated monthly.
Backlog grooming + next scope
Always tied to business KPIs and real usage.
Support window
Responses within 1 business day for production-impacting issues.
Definition of “shipped”
- - In production and used by real users
- - With logging, rollback plan, and an owner assigned
How this moves your numbers
Time (Time-to-Value)
- - ≤ 45 days to first live workflow (kick-off to production use)
- - Monthly cadence: at least 1 additional outcome shipped every 30 days
- - We track minutes saved per user/day and end-to-end cycle time per process
Money (Cost Savings & Avoidance)
We calculate value using your inputs (team size, workdays, minutes saved, fully-loaded hourly cost).
$Saved = HoursSaved × HourlyCost
NetMonthly = $Saved – MonthlyFee
PaybackMonths = SetupCost ÷ max(NetMonthly, 0)
AnnualROI = ((NetMonthly × 12) – SetupCost) ÷ (SetupCost + MonthlyFee × 12)
Risk (Governance, Safety & Auditability)
- - 100% of runs logged: prompts, context, outputs, approvals
- - Guardrails: PII policies, source-of-truth retrieval, hallucination tests
- Risk metrics (monthly):
- • Governed coverage = % of AI use through approved channels
- • Blocked incidents = # of policy violations prevented
- • Escalations = # of human-in-the-loop interventions
- • Test pass rate = % guardrail tests passed pre-deploy + spot checks
The Four Phases (and the business movement you can expect)
Phase 1 — Foundational AI (2–4 weeks)
Deliverables
- - Role-based workshops (3), prompt playbooks, safe-use policy template
- - Opportunities backlog with effort/value scoring
What moves
- - AI literacy delta: pre/post assessment improvement
- - Qualified opportunities: 30–50 items with owners and expected value
Exit criteria
- - Policy adopted by ≥ 80% of pilot users
- - Backlog approved for build
Phase 2 — Custom Chatbots (4–8 weeks)
Deliverables
- - One domain chatbot (docs/FAQ/KB), retrieval tests, analytics dashboard
What moves
- - Internal answer latency: target < 10 seconds average
- - Ticket deflection on covered topics: target 20–40% (vs prior 30-day baseline)
Exit criteria
- - Bot used by ≥ 50 unique users
- - Or covers ≥ 60% of top queries
Phase 3 — AI Agents (8–12 weeks)
Deliverables
- - One production agent automating a real workflow (e.g., lead research → CRM, invoice triage → AP)
- - Runbook + rollback; human-in-the-loop where required
What moves
- - Time saved: target 5–15% reduction for the covered team
- - Error rate: at or below human baseline
Exit criteria
- - ≥ 200 successful runs with monitoring enabled
Phase 4 — Squads / Swarms (ongoing)
Deliverables
- - 2–4 cooperating agents, escalation rules, monthly governance review
What moves
- - Cycle time: target 20–30% reduction end-to-end
- - Governed coverage: ≥ 90% of AI activity through approved systems
Exit criteria
- - SLA-backed operation with on-call ownership in your team
Monthly governance review across phases to keep momentum and safety.
ROI—show your CFO the math (right on the page)
Adjust the inputs to match your team and see time, value, and payback.
Pricing & Plans
All plans include logging, guardrails, and monthly impact reporting. Exact fees depend on scope and integrations; we size this in your free scoping call.
Kickstart (45 days)
Get to first shipped outcome with governance and reporting.
Book a free scoping callAbout Mr. Mango
Meet Mr. Mango: Your AI Visionary and Chair
In the high-stakes arena of generative AI, few names command as much respect as Mr. Mango. A trailblazer who's trained tens of thousands of executives across continents, built hundreds of cutting-edge agents and swarms, and architected frameworks that have revolutionized corporate AI strategies.
But Mr. Mango isn't just an expert—he's a partner who understands your world: the pressure to deliver ROI amid chaos, the dream of leading an AI-powered enterprise, and the sting of past failures.
Schedule a Demo Call10,000+
Executives Trained
Hundreds
AI Agents Built
4 Phases
Proven Framework
Global
Recognition
Why Mr. Mango? The Data-Driven Difference
Proven Impact
Trained 10,000+ executives, leading to measurable maturity gains
Innovative Edge
Builder of hundreds of AI agents, mastering swarms for complex business needs
Holistic Approach
Guides through four phases, addressing tech, people, and ethics
FAQs (straight answers)
Get in Touch: Start Your Transformation
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