The AI trust rating for small business.
See how safely your business uses AI, and prove it to clients, insurers, and partners.
Fix the system, not the people.
Your team already uses AI. Clients and insurers are starting to ask how you manage it. Most AI mistakes are system failures: unclear rules, weak review, poor data controls, unreviewed vendors, or no incident process.
AI is already in the workflow
Employees use assistants, copilots, automation, and embedded AI whether or not the business has documented the controls around them.
Questions are becoming harder
Clients, partners, and insurance professionals increasingly need a clear explanation of where AI is used and how risk is managed.
A score creates a baseline
The SSAI Trust Score turns scattered controls into one repeatable 300–850 rating and a prioritized remediation roadmap.
Assess → Verify → Score → Improve
The free path is Assess → Score → Improve. Evidence verification is added only when you choose the Verified Trust Score.
Map current AI use
Review the tools, data, vendors, decisions, and safeguards already in place.
Verified Trust Score only
SSAI reviews authorized evidence and management confirmation before issuing a verified result.
Apply the fixed rubric
Each dimension is scored against defined criteria so the same inputs produce the same score.
Work the roadmap
Prioritize the controls that have the largest effect on trust, accountability, and operational risk.
One rating. Seven dimensions.
The SSAI Trust Score uses a 300–850 scale. Each dimension is scored against a fixed rubric, so the same inputs produce the same score. Every score includes a remediation roadmap and annual reassessment. The methodology is mapped to NIST AI RMF: Govern, Map, Measure, and Manage.
Trust Score methodology is informed by NIST AI RMF and ISO/IEC 42001 principles. It is a proprietary assessment, not a third-party certification.
Start free. Verify when you need proof.
Free Trust Score
Quick online self-assessment with a preview score.
- 300–850 preview score
- Seven-dimension snapshot
- Remediation priorities
Verified Trust Score
Evidence-assisted review of AI tools, data, vendors, and controls.
Final price depends on company size and the scope and complexity of evidence being reviewed. Organizations with 251+ employees require a scope review and custom pricing.
- Verified 300–850 score
- Dated report and badge
- Prioritized remediation roadmap
- Annual reassessment included
Ongoing Monitoring
Keep the score current as tools and workflows change.
- Quarterly re-score
- Review of new AI tools
- Annual full reassessment
- Office hours
When the score finds a gap, SSAI can help fix the system.
Improvement work is optional and separate from the rating. Buying consulting does not automatically increase a Trust Score; the score changes only when assessed controls and evidence change.
AI deployment
Deploy practical AI tools and workflows with human review and control points.
Workflow automation
Reduce repetitive work while keeping accountability around automated actions.
Governance & policies
Build acceptable-use, data handling, oversight, escalation, and incident rules.
Vendor review
Review providers, contracts, data practices, dependencies, and approval controls.
Staff training
Train employees on approved tools, sensitive data, verification, and escalation.
Tool selection
Choose AI tools that fit the business need, data sensitivity, and control requirements.
Built by people working across AI strategy, data, automation, and governance.
Bethelhem Tola
Founder · Market Research & Client Development Lead
Bethelhem leads SSAI’s market research, outreach, client development, and partnerships. She identifies target businesses, shapes how SSAI’s services are positioned and delivered, and oversees the internal AI agents that support operations, with human approval built into every workflow.
Bottom line: Market research · Client development · Partnerships · Training operations · Human-approved AI agents
Rebecca Sergoalem
Co-Founder · AI Strategy & Program Lead
Rebecca leads SSAI’s AI strategy, governance framework, and program structure. She defines how client AI use should be governed, where approval and human-review checkpoints belong, and how the Trust Score integrates into client programs.
Bottom line: AI strategy · Governance frameworks · Program management · Training evaluation
Kidist Wolde
Co-Founder · Data Science & Technical Lead
Kidist leads the technical and data side of SSAI’s work. She evaluates how AI tools and automations are built, what data they touch, and where governance controls belong, and oversees how SSAI’s agents and client systems handle data, validation, and testing.
Bottom line: Data science · Workflow logic · Validation & testing · Technical risk
Know your AI trust rating before someone else asks for it.
Start with the free score. Verify it when you need evidence.