AI for the enterprises cloud can't reach — from the laptop up.
Guriqo deploys Augur Enterprise — the control plane over your org's fleet of brains: lifecycle, isolation, governance, promotion, and drift, per-brain and org-wide. Built for the organizations cloud AI SaaS can't serve — defense tech, semiconductor companies, anywhere data and IP can't leave the building. Bottom-up adoption, top-down control: a governed, owned brain that compounds across the org, vendor-agnostic and self-hosted in your GitHub or on-prem. We bring the training, integration, and process to make it land.
Built on Augur — open source on PC & Mac (coming soon). Guriqo deploys the Enterprise tier across your fleet today.
The Future of Work
Enterprise AI Work Is Becoming an Infrastructure Problem
The shift is no longer theoretical. Teams that adopt durable systems early are outperforming those that treat AI as an afterthought.
Decisions Are Going Autonomous
By 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI — up from 0% in 2024.
Enterprise Software Goes Agentic
By 2028, 33% of enterprise software applications will include agentic AI — up from less than 1% in 2024.
Most Programs Stall Without Durable Systems
Gartner expects over 40% of agentic AI projects to be canceled by the end of 2027 — driven by escalating costs, unclear value, and weak governance.
Sources: Gartner, "Top 10 Strategic Technology Trends for 2025" (Oct 2024); Gartner, "Over 40% of Agentic AI Projects Will Be Canceled by End of 2027" (Jun 2025).
The Pattern We Keep Seeing
Why Enterprise AI Programs Stall In Practice
The failure is usually not lack of model access. It is lack of team capability, weak operating process, and no durable deployment path across real workflows.
No Team Capability Build-Up
Teams get tool access, but not the hands-on training and practical skill development needed to use AI well.
No Durable Deployment Path
Pilots stay isolated because no one turns them into shared team workflows, reusable project skills, or repeatable operating patterns.
No Process Or Governance
Teams adopt AI anyway, but without clear process, governance, and oversight the results stay uneven and hard to trust.
The recurring gap is operational, not theoretical: organizations need training, capability transfer, deployment support, and a system that stays legible as adoption grows.
Our Framework
The Two Rings
We separate commodity AI work from the workflows that actually carry institutional leverage.
Commodity Work
- Summarization, translation, formatting
- Generic chatbots and document Q&A
- Template generation and boilerplate
- Standard reporting and data extraction
Core Business Intelligence
- Domain-specific decision support
- Institutional knowledge preservation
- Custom workflows built on your data
- AI that adapts to how your people actually work
How We Help
Build capability first, then scale what works.
We keep the same bottom-up logic, but make it practical for teams: train on real work, build reusable skills, deploy the workflows that prove themselves, and add the process needed to run them well.
Hands-On Training
We train teams on their actual work so AI adoption starts with practical use, not abstract demos.
Team And Project Skill Build-Up
We help teams turn useful prompts, workflows, and knowledge patterns into reusable operating capability.
Workflow Deployment
The workflows that prove themselves can be deployed across teams with a structure people can actually use.
Process And Governance Consulting
We help define the process, guardrails, and operating rhythm needed to make enterprise AI adoption durable.
What Sets Us Apart
Why Guriqo For Enterprise AI Adoption
Augur is the open technical foundation. Guriqo helps enterprises turn that foundation into practical team capability through training, deployment, and operating support.
| Most Consultants | Guriqo |
|---|---|
| Recommend vendor, hand off to IT | Build with your team, transfer skills |
| Big-bang transformation | Incremental augmentation |
| Lock into one AI provider | Provider-agnostic from day one |
| Replace humans with automation | Make humans 10x, not obsolete |
| Deliverable: a slide deck | Deliverable: working systems your team owns |
| Leave when budget runs out | Leave when your team can run it |
| Advising without operating ownership | Governance, integration, enablement, rollout support, and cost control built in |
Who You're Working With
About Gur
Gur Sannikov
Former semiconductor AI transformation lead. Built Augur as a daily-use local AI system, then turned Guriqo into the deployment layer for teams that want practical adoption instead of another slide deck.
LinkedInWays To Work Together
Start with the right level of engagement.
Choose the path that fits your context: free Augur for individual builders, team enablement, or broader enterprise capability work.
Augur Community
For individuals, builders, and smaller teams that want the open-source Augur system without enterprise rollout support. Open source coming soon.
Training And Workflow Workshop
Focused engagement for teams that need hands-on training, workflow design, or a practical rollout path for a real project.
Enterprise Capability Engagement
For multi-team work where you need training, project capability build-up, process consulting, and deployment support inside the organization.
Start A Conversation