The company behind controlled AI work.
AI has moved from experimentation into business operations. ChangeFabric gives that work owners, release paths, support, evidence, and value controls.
AI adoption will outrun normal IT intake.
It is arriving through tools, vendors, agents, scripts, and ambitious teams. ChangeFabric gives those teams a way to bring AI work under control before it becomes critical infrastructure.
Scope with Framer. Ship with Weaver. Run in Tracer.
Sensitive work requires discipline.
The leaders we work with run regulated industries, sensitive operations, and confidential transformations. They need a partner who treats their roster as a competitive advantage, not a marketing asset. We do not list logos without permission. We do not publish team headshots. We do not post screenshots from inside deployments. The work speaks; we let it.
If you want to know exactly who you will be working with, you will get that on the first call, with a non-disclosure agreement in place if it matters to you.
The bench behind controlled AI adoption.
Todd Rossin
Chief Executive Officer. Sets company strategy, design-partner relationships, and the operating discipline behind controlled AI.
Senior operators
Two former heads of operations from Fortune-500 services firms. Combined ~25 years running PMOs, capacity planning, and delivery handoffs.
Applied AI engineers
Engineers from frontier-model labs and AI infrastructure teams. They have shipped retrieval, eval harnesses, and production safety pipelines.
Senior platform builders
Backend and frontend leads who have operated large multi-tenant SaaS platforms.
Product designers
Practitioners from teams that have shipped category-defining B2B products.
Security & compliance leads
Security leaders from fintech and identity. They own threat modeling, audit posture, and compliance readiness.
Deployment leads
Former management consultants and big-four ex-partners. They sit on the team for Guided and Embedded deployments.
Senior advisors who sharpen the operating model.
Senior advisors help with strategy, product, and design-partner access. Listed by role unless they ask to be named publicly.
AI, identity & platform advisor
A senior operator with deep experience across identity platforms, API architecture, enterprise SaaS, and applied AI. Helps us think about platform architecture, trust boundaries, and how AI and operations actually fit together inside real organizations.
Senior services-industry advisor
A former managing director at a top-tier global consulting firm with deep experience in services operations, capacity economics, and professional-services delivery. Listed by role, not name, at their request.
AI safety & evaluation advisor
A researcher with frontier-model evaluation experience. Helps us design verification stages, refusal posture, and the accountability record that makes AI apps defensible to a CFO and to a regulator.
Enterprise security advisor
A current head of security at a public fintech. Reviews threat model, access architecture, and the SOC 2 Type II path.
We are hiring carefully.
If you have spent a career inside operations, running a PMO, building a forecasting model, designing a delivery process, or leading an AI infrastructure team, we would like to talk. We post specific roles when we have them; otherwise, intros come through the deployment-call channel.
No careers page. No requisitions. Just conversations.
Accepting 20 design partners.
Bring us one workflow. We will map its first 90 days.