We stand at a crossroads. Artificial intelligence promises to transform how we work, create, and solve problems. But without ethical billing practices, this promise will crumble under the weight of broken trust.
This manifesto is not written in anger. It is written in hope—hope that the companies building our AI future will choose partnership over extraction, transparency over opacity, and trust over short-term profit.
History has shown us what happens when billing practices prioritize extraction: WorldCom's $180 billion collapse[2], mobile carriers' $2.1 billion in refunds for bill shock[3], $12 billion in disputed cloud charges during COVID[4].
AI must break this cycle. Or become another cautionary tale.
Our Core Principles
1. Transparency is Non-Negotiable
Customers have the right to understand what they're paying for in real-time. Token costs, context windows, and feature pricing must be clear, documented, and predictable. No hidden charges. No surprise bills. No opacity masquerading as "complexity."
2. Fairness Over Extraction
When AI makes mistakes—hallucinations, context loss, agent errors—customers should not pay for those failures. Automatic service credits, not manual dispute processes, should be the default. Fair treatment builds loyalty; extraction destroys it.
3. Accountability Through SLAs
Service Level Agreements are not optional. They are the foundation of trust. Uptime guarantees, response times, and compensation for failures must be public, enforceable, and honored. Companies that hide behind vague terms of service will lose to those who stand behind their promises.
4. Partnership, Not Adversarial Relationships
The principal-agent problem is real: AI companies profit when customers use tokens inefficiently. But the companies that win will be those who teach efficiency, reward loyalty, and treat customers as partners in building the future—not as resources to extract from.
10 Commitments AI Companies Must Make
Real-Time Cost Visibility
Show running totals during sessions. Let users set spending limits and receive alerts before hitting them. Make cost tracking as intuitive as checking a bank balance.
Automatic Service Credits
When agents make mistakes or services fail, issue credits automatically. Don't make customers fight for what's fair. Build systems that detect errors and compensate without manual intervention.
48-Hour Dispute Response
Acknowledge billing disputes within 2 business days. Provide a clear timeline for resolution. Assign real humans to cases over $500. Respect your customers' time as much as you value their money.
Predictable Billing Options
Offer flat-rate plans alongside usage-based pricing. Let customers choose predictability over variability. Not everyone wants to gamble on their monthly bill.
Public SLA Commitments
Publish service level agreements with uptime guarantees, response times, and compensation formulas. Make them legally binding. Stand behind your promises with real consequences for failures.
Proactive Cost Optimization
Alert customers when they're using inefficient patterns. Suggest ways to reduce costs without sacrificing quality. Teach efficiency instead of profiting from waste.
Loyalty Rewards
Long-term customers who pay on time deserve better rates. Reward loyalty, don't punish it. Build relationships that last years, not transactions that extract maximum value upfront.
Independent Arbitration
For disputes over $500, offer third-party arbitration. Remove forced arbitration clauses that favor the company. Give customers a fair path to resolution that doesn't require hiring lawyers.
Billing Transparency Reports
Publish quarterly reports showing average costs, common billing issues, and how disputes were resolved. Let customers see the data. Transparency builds trust; secrecy breeds suspicion.
Customer Advisory Board
Include enterprise customers in pricing and policy decisions. Listen to feedback before making changes. Build products with your customers, not just for them.
Why This Matters
I've spent 25 years building fair billing systems for the IT industry. I created the first SLA for colocation in 1996 at Exodus Communications. I co-architected the 95/5 billing model that became the standard for burst capacity. I've negotiated $24 billion in IT transactions for companies like Microsoft, AT&T, Verizon, and Sun Microsystems.
I know what works. Companies that implement transparent, fair billing practices see higher customer retention, lower support costs, better reputation, and sustainable growth. Trust builds empires; extraction destroys them.
Blockbuster made $800 million per year from late fees. Netflix offered partnership instead. Blockbuster is dead. Netflix is worth $392 billion. AI companies are at the same crossroads.
The Choice Before Us
Path of Extraction
- ×Charge for AI mistakes
- ×Hide pricing complexity
- ×Ignore billing disputes
- ×Profit from customer confusion
- ×Repeat history's mistakes
Result: Short-term profit, long-term collapse
Path of Partnership
- ✓Automatic credits for errors
- ✓Real-time cost visibility
- ✓48-hour dispute response
- ✓Teach efficiency, reward loyalty
- ✓Build trust that lasts
Result: Sustainable growth, legendary reputation
Join the Movement
B-Corp Labs Certified • Creator of the First SLA for Colocation (1996)
25+ Years Building Fair Billing Systems • $24 Billion in IT Transactions
February 2026