1. Assessment
We review the backlog, codebase, delivery constraints and security requirements, and classify representative work items by realistic AI fit. Nothing is assumed to be AI-accelerated until it is examined.
Delivery model
How Intetics AI-native FDE delivery works
A forward-deployed engineering pod embeds in your delivery process and owns an agreed outcome. AI is used where it demonstrably improves that outcome, and conventional engineering is used where it does not.
2. Baseline
Current cost, team size, throughput and rework are documented so that any later claim of improvement is measured against an agreed starting point rather than a marketing benchmark.
3. Pod formation
A forward-deployed pod of one to six engineers is formed from software engineering and AI/ML engineering profiles, sized to the outcome and to the client's coordination capacity.
4. Delivery
The pod works inside the client's agreed process, environment and approval path. AI output is treated as untrusted engineering input; accountable engineers own design, review, testing and production readiness.
5. Governance and reporting
Progress is reported against production-oriented outcomes — completed scope, lead time, rework, defects and release progress — not generated code volume or tool activity.
Commercial principles
- These are editable planning rates. They do not apply automatically to every seniority level or engagement type.
- Approved AI development tooling up to USD 260 per engineer/month is included in the planning rate. Additional usage requires prior written approval.
- Only the difference between baseline delivery cost and estimated Intetics delivery cost is presented as a hard budget difference.
- Calculator output is an indicative planning estimate produced by Intetics AI-Native Delivery Economics Model 1.0-provisional (Provisional — to be calibrated against completed Intetics engagements) — not a quote, offer or guarantee.
- AI usage follows the published Intetics AI Acceptable Use Statement.
Questions by stakeholder
ISO/IEC 42001:2023-certified AI management system
Intetics Inc.’s Artificial Intelligence Management System is certified for the design, development, deployment, operation, monitoring and continual improvement of AI/ML software products.
- Legal entity
- Intetics Inc.
- Standard
- ISO/IEC 42001:2023
- Management system
- Artificial Intelligence Management System (AIMS)
- Scope
- Design, development, deployment, operation, monitoring, and continual improvement of AI/ML software products.
- Certificate number
- GAIMS 1113
- Certification body
- Shamkris Global Inspection Services Pvt. Ltd.
- Headquarters
- 4851 Tamiami Trail N, Suite 200, Naples, FL 34103-3098, United States
- Initial registration
- 2026-03-12
- Last issue date
- 2026-03-12
- Expiry date
- 2029-03-11
- Certificate type
- multi-site
Certification applies to the named legal entity and stated management-system scope. It does not certify an individual client project or guarantee a specific project outcome.
The Intetics website also publicly states ISO 9001:2015 and ISO/IEC 27001:2022 certification.
Model your own scenario
Build an indicative estimate in four steps, then request a scoped review.