We built ChangeFabric because AI started running real work outside normal controls.
We are small, senior, and discreet by design. We watched AI tools become business workflows without owners, support, or change control, then built the platform we wished existed. Todd Rossin is named; advisor and delivery rosters stay private unless disclosure helps the work.
The next wave of AI adoption will not arrive through 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.
Scope the work with Forge. Ship it with Factory. Keep it accountable with Pulse.
Our customers do not buy us for our logo. They buy us for what we make possible.
The leaders we work with run regulated industries, sensitive operations, and confidential transformations. They prefer a partner who treats their roster as a competitive advantage, not a marketing asset. So we do not list customer logos until they ask us to. We do not publish team headshots.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'll be working with, you'll 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. Leads company strategy, customer relationships, and the operating discipline behind controlled AI adoption.
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 large AI infrastructure teams. The same people who've shipped retrieval, evaluation harnesses, and safety pipelines in production.
Senior platform builders
Backend and frontend leads with experience operating large multi-tenant SaaS.
Product designers
Practitioners from teams that have shipped category-defining B2B products.
Security & compliance leads
Former heads of security at fintech and identity companies. They own threat modeling, audit posture, the SOC 2 roadmap.
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.
A short group of senior advisors help with strategy, product, and customer access. They are 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 the financial mechanics of 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 path to SOC 2 Type II.
We're hiring quietly.
If you have spent a career inside operations, running a PMO, building a forecasting model, designing a delivery process, leading an AI infrastructure team, and you are done watching companies struggle to do this with spreadsheets and goodwill, 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.
Your teams are trying tools. Vendors are adding AI. Workflows are already forming. Show us where the risk or value is highest and we'll map a 90-day path for the first controlled app.