GeneWorks
Investor Deck · 2026
ServiceNow delivery is slow, expensive, and brittle.
Every enterprise running ServiceNow hits the same three walls — and they compound over time.
Every change needs a specialist
An SLA tweak or a business rule means a certified developer, a ticket, a review cycle, and days of lead time.
No one knows what will break
Thousands of interdependencies. One field change cascades into SLAs, notifications, and integrations — invisibly.
Institutional knowledge walks out
The architect who designed the routing left two years ago. Every new hire starts from zero.
32 specialist agents. Two human sign-offs.
GeneWorks runs ServiceNow delivery as a continuous loop. A coordinated team of specialist AI agents does the engineering; two human gates keep you in control — nothing builds without design sign-off, nothing ships without verification sign-off.
The same SDLC your CAB expects — run in a loop.
Six stages, native to your instance. Every artifact is created via the ServiceNow REST API into a named, reversible Update Set — with ATF tests written and run automatically.
Week 1 looks good. Month 6 is unrecognizable.
Every build adds context to a permanent, instance-specific workspace — your idioms, ACL patterns, dependency map, and lessons learned. The longer GeneWorks runs, the harder it is to replace.
We build the platform. Others serve the people on it.
8,000+ enterprises run ServiceNow, each spending heavily on implementation and managed services. GeneWorks targets the platform-engineering layer — and complements employee-assistant tools rather than competing with them.
GeneWorks
Architects, codes, tests, and deploys — from business rule to packaged Update Set. Operates the layer assistants sit on top of.
Assistants (e.g. Moveworks)
Answers questions and routes requests across systems. Interacts with ServiceNow as a data system — doesn't build or configure it.
Land on a dev instance. Expand to continuous capacity.
Start in under 20 minutes on a developer instance; grow into a permanent platform-engineering layer across teams.
- One dev / PDI instance
- Full SDLC loop
- Update Sets & ATF
- Community support
- Multiple instances
- Workspace memory graph
- Impact analysis & governance
- Priority support & SLAs
- GeneWorks runs delivery
- Dedicated success team
- Roadmap-driven backlog
- Outcome SLAs
Real problems. Real deployments.
Representative engagements across implementation partners, enterprise IT, and scale-ups.
Greenfield ITSM in 6 days
A 6-week scope delivered in 6 days — 8 phases, 38 ATF tests, 100% pass. Government IT, 2,400 employees.
3 years of debt, 0 incidents
60-item backlog cleared in 3 months, every change impact-analysed. Financial services, 8,000 employees.
Live on platform, day one
Connected to a PDI in 20 minutes; full ITSM live in 2 weeks at a fraction of SI cost. 650 employees.
Join us in building the autonomous ServiceNow workforce.
We're partnering with forward-leaning ServiceNow teams and investors who see the compounding moat. Let's talk about a pilot on your instance — or how to back the platform engineering layer for the entire ecosystem.
gene@geneworks.ai · geneworks.ai