Co-Founder Taliferro
The Story Behind TODD: Building a Fair AI Outreach Platform
AI has changed how we do business, but it hasn’t changed who benefits. For too long, algorithms have played favorites — not intentionally, but by design. When data is biased, AI amplifies that bias. When visibility depends on patterns from the past, the same people stay unseen.
That’s digital gentrification — when technology quietly pushes out the very communities it should help bring in. We built TODD to fix that.
New to TODD? Start with the complete guide to Business Momentum Systems (BMS), or see how you can have a conversation with TODD about your work. Comparing tools? Here’s our plain‑English CRM alternative breakdown.
Why TODD Had to Be Built
Every day, teams use AI to find leads, build pipelines, and recommend partnerships. But under the hood, those systems reward what’s already popular. They rank data based on wealth, scale, and activity — not on potential, quality, or equity.
For minority-owned or small businesses, that means their opportunities shrink each time an algorithm “learns” from past behavior.
At Taliferro Tech, we saw it firsthand. Even on government contracts that required inclusion, the software driving outreach wasn’t built to find diverse vendors. It was built to find familiar ones.
So we built something different.
The Problem with Traditional Systems
Most CRMs and outreach tools assume data is neutral. It’s not. When your data is biased — missing minority representation, over-representing certain industries — automation becomes an amplifier of inequity.
Traditional tools also treat fairness as optional. They optimize for clicks, conversions, and revenue — not justice, not balance, not truth.
That’s why Taliferro Tech designed TODD as a Business Momentum System — not just to move data faster, but to move it fairly.
Building TODD Differently
TODD wasn’t coded around convenience. It was engineered around conscience. Its architecture includes built-in fairness checks and proprietary learning modules that keep bias from creeping in.
Here are a few of the proprietary systems inside TODD:
- Bias Drift Detection (BDD): Monitors when data begins to skew over time.
- Adaptive Learning Pathways (ALP): Adjusts AI models to maintain equity as datasets evolve.
- Consistent Output Protocol (COP): Ensures that identical inputs produce consistent, explainable results.
- Fairness Module: Audits and scores decisions to flag potential bias in recommendations or rankings.
- Equity-Driven AI Framework: Aligns every automation — from outreach to enrichment — with inclusive data principles.
Each piece works together to keep TODD accountable, measurable, and transparent.
How TODD Ensures Fairness
Fairness isn’t a mode you turn on — it’s a mindset baked into every line of code.
When TODD suggests a contact, it doesn’t just look at who’s “most active.” It looks at representation balance. It ensures no one gets left behind because of missing data or uneven exposure.
When TODD analyzes notes or tasks, it detects language bias. When it enriches data, it cross-validates sources to minimize cultural or demographic distortion. When it scores outreach results, it normalizes metrics to avoid favoring well-funded entities.
Fair AI isn’t about suppressing data — it’s about broadening what the data sees.
Working with the Office of Equity
We didn’t just build TODD in isolation. Taliferro Tech worked with the Washington State Office of Equity to design a Generative AI Accountability Framework — a system that ensures AI decisions serve everyone, not just the majority. For a deeper dive into the policy side, read Building Ethical AI: Washington’s Accountability Framework for AI Bias.
That collaboration helped define how TODD measures bias, explains decisions, and reports accountability metrics. It also influenced how TODD handles sensitive data — with transparency and respect for privacy while still delivering actionable intelligence.
Empowering Teams, Not Replacing Them
TODD doesn’t remove people — it amplifies them. The system automates what slows humans down, not what makes them valuable.
- Instead of replacing outreach teams, TODD gives them AI-powered context.
- Instead of replacing analysts, it highlights bias they might not see.
- Instead of replacing relationships, it strengthens them through insight.
When you talk to TODD, you’re not talking to a replacement for your team — you’re talking to a partner that sees what you might miss.
Learn more about the TODD Business Momentum System and how it powers pre‑CRM workflows.
Fighting Digital Gentrification
When AI systems are built without inclusion, they silently gatekeep opportunity. That’s digital gentrification. TODD fights it by design — through fairness detection, representative learning, and transparent accountability.
Our goal isn’t just better outreach. It’s equitable outreach. Because fair systems create fair results — and fair results create opportunity.
The Future of Fair AI
The next wave of AI won’t be about scale — it’ll be about trust. Who can we trust to use AI responsibly? Who can we trust to include everyone in the process?
TODD answers that with architecture, not slogans. Every function — from auto-enrichment to note analysis — was built with fairness as a technical requirement, not a talking point.
That’s the future we’re building: AI that reflects everyone, not just the loudest voices.
FAQs
What does “digital gentrification” mean?
Digital gentrification is when AI systems unintentionally exclude or misrepresent certain communities by relying on biased or incomplete data.
How does TODD detect bias?
TODD’s Bias Drift Detection continuously monitors data patterns. When it spots imbalance or underrepresentation, it flags and adjusts the system’s learning pathways.
Can fairness be measured?
Yes. TODD’s Fairness Module quantifies equity metrics and creates internal reports showing how balanced its recommendations are.
How does this help small or minority-owned businesses?
By correcting visibility gaps. TODD ensures outreach systems discover, recommend, and follow up with businesses that might otherwise be hidden by bias.
Can TODD be used outside government or equity programs?
Absolutely. Fairness benefits everyone — from startups to enterprises — because clean, balanced data drives better decisions.