Teams creating solutions alone
Marketing, operations, support or IT use tools and agents without simple policy, clear owner or audit trail.
risk reduction before scaling
Trustyu SCORE turns technical analysis into executive decision: what is safe, what must be fixed, what should pause and what can grow with less risk.
The Tech Human solution for this moment is Trustyu SCORE.
Code
technical reading of repository, structure and dependencies
Risk
security, data, scale, governance and continuity
Decision
evidence-based report for leadership action
the real pain
AI accelerates people and teams. What concerns leadership is discovering too late that an automation became a system, a prototype became operation or an almost-SaaS product was born without enough engineering to protect the company.
Marketing, operations, support or IT use tools and agents without simple policy, clear owner or audit trail.
What started to save time begins touching data, clients, finance, integrations and critical decisions.
The interface works, but code mixes business rules, data access, integrations and security in the same place.
The company wants to release, sell or integrate without knowing the real risk.
Trustyu SCORE matrix
The matrix separates AI uses by complexity and risk. Levels 1 and 2 can scale with guidance. Levels 3, 4 and 5 require increasing governance, engineering involvement, technical evidence and a clear owner.
The public classification below shows the executive reasoning. The full evaluation, scoring and technical reading method remains protected inside the product.
1
Documents, reports, presentations, emails, images and posts. If it fails, it can be reviewed.
Quem opera?
all teamsRisco: low
2
Pages, landing pages, prototypes and dashboards without complex authentication or sensitive data.
Quem opera?
teams + checklistRisco: low/medium
3
Internal automations, task controls, bots and agents that start affecting productivity.
Quem opera?
team + IT reviewRisco: medium
4
Touches client, employee, financial, integration, permission or operational logic data.
Quem opera?
IT + data + securityRisco: high
5
SaaS, white-label, multi-company, critical infrastructure or product sold to third parties.
Quem opera?
central technical teamRisco: critical
origin diagnosis
Before evaluating what the system does, Trustyu SCORE identifies how it was born. The less human architecture review, the greater the hidden risk.
AI generated parts; humans reviewed and structured.
AI generated most of it; humans guided but did not review architecture.
AI generated everything in long sessions; humans validated by result only. The most common level — and the one with the most hidden risk.
A no-code platform generated everything; humans only described.
strategic diagnosis
Trustyu SCORE does not answer by opinion. Every conclusion must come with technical evidence, impact reading and decision recommendation.
question 01
We identify whether there is technical ownership, documentation, tests, responsibility separation and traceability for safe continuity.
question 02
We evaluate person dependency, knowledge concentration, code organization and real maintainability by another professional or squad.
question 03
We separate business value from technical readiness. A strong idea may still require architecture, data isolation and governance before being sold.
question 04
We look for processing bottlenecks, memory usage, service dependency, infrastructure limits and breaking points under growth.
question 05
We read authentication, permissions, keys, exposed routes, credential storage, sensitive data and active financial or legal risk.
question 06
The report recognizes what works and shows what needs correction. The goal is not to kill a good initiative, but to prevent real value from becoming liability.
technical reading
Trustyu SCORE connects executive view with engineering. Leadership understands risk in business language; the technical team receives enough evidence to act.
structure, coupling, critical files, dependencies, patterns and signals of generation without review.
responsibility separation, layers, backend, integrations and evolution capacity.
authentication, authorization, keys, exposed routes, secrets, permissions and sensitive data.
modeling, access, isolation, privacy, traceability, history and information quality.
infrastructure limits, queues, concurrency, costs, bottlenecks and single points of failure.
owner, documentation, tests, CI/CD, monitoring, technical roadmap and continuity.
deliverables
The delivery combines CEO, founder, CTO, product and engineering views. It shows where value exists, where risk exists and which move comes first.
01
direct diagnosis for leadership to decide whether to keep, fix, pause, restructure or scale.
02
classification across the 5 AI usage levels, with required governance reading.
03
pillar assessment such as architecture, code, data, backend, security, tests and DevOps.
04
findings prioritized by impact: critical, high, medium or low, with business consequence.
05
what the solution already proved and what must be corrected to avoid liability.
06
practical sequence for correction, protection, restructuring and responsible scaling.
3-report system
In the complete diagnosis, delivery splits into three independent reports, each in the right language and depth for whoever decides.
01
Technical score by dimension and pillar, AI origin diagnosis, risk map and prioritized remediation roadmap. Dual reading: executive and technical in the same document.
02
Product assessment: value proposition, product-market fit, user experience, business model, AI potential and what to solve before scaling.
03
Market research: real competitors, opportunity size, price reference and defensible positioning to grow with clarity.
engagement levels
Trustyu SCORE adapts to the moment: a fast diagnosis to decide now, a complete audit before scaling, or recurring monitoring to keep the standard.
Essential diagnosis: score by dimension, 6 strategic questions, risk map and summary roadmap. To decide clearly in a few days.
In-depth audit: security scan, technical inventory, costs and the 3 reports (technical, product and market). To scale safely.
Recurring monitoring: audit of new systems, portfolio under control and fractional CTO. To keep the standard as AI spreads.
Scope and investment are defined case by case, based on the size and criticality of the system. Talk to Tech Human for a proposal.
possible decision
Leadership starts seeing the product as asset, risk or evolution opportunity. This changes decision quality before investing more time, money and reputation.
when the solution is simple, useful and risk is acceptable.
when there is real value, but technical or security points need action.
when current use exposes data, operation or costs before minimum control exists.
when the proposal is good, but the technical base blocks scale, maintenance or sales.
when there is evidence of value, enough governance and a technical path to grow.
when it fits
a team created automation or an agent and now wants to release it to more people
a prototype became a system used in operation
a fast-created product must become SaaS, B2B or white-label
the CEO wants to know if it protects data, scales and deserves investment
the CTO needs evidence to prioritize correction, refactoring or rebuild
the company wants to reduce risk before connecting more data, clients and integrations
field proof
Real production cases, anonymized. The client's identity stays protected; what matters is the decision the evidence unlocked.
B2B platform · logistics
The interface worked, but business rules, data and security lived in the same place — no tests, no technical owner.
Restructure before selling it as a product.
Internal operation · AI in production
An automation became a critical system without governance, with AI cost growing and no observability.
Fix and instrument before scaling.
Early-stage product · pre-investment
Strong value proposition, fragile technical base — score in the critical-risk range.
Pause the investment until the essentials are remediated.
Method validated in real production audits.
FAQ
Yes, but not only that. The solution reads code, architecture, data, security, governance and business impact to turn technical analysis into executive decision.
No. The goal is not blame. It is protecting the company, recognizing real value and showing the next step with evidence.
Yes. This is one of the main scenarios: useful solutions created fast, but without clarity on risk, scale, ownership, security or continuity.
FORGE ecosystem
Both are part of Tech Human's FORGE Framework, published at trustyu.ai — from risk diagnosis to ideation of new opportunities. See the full method on the Trustyu SCORE page.
next step
Talk about your challenge to evaluate whether your system, automation, agent or product needs Trustyu SCORE before it grows.