Enterprise AI strategy, in ninety minutes.
Not a workshop. Not a slide deck. A session that ends with the agent map, the data products behind it, the screens each person will actually use, and the ROI framework a board can sign.
The problem this exists for
Most large enterprises are not short of AI. They are short of coherence.
Several platform relationships running in parallel. Teams building agents independently in different divisions and different countries. Real budget, real effort — and no clear line back to what the CEO and the business leaders are accountable for.
The usual fix is a Forward Deployed Engineer engagement: techno-functional experts embedded for eight weeks to find the real problem before anything is built. It works. It also costs two to five million dollars and typically ends in a document with no execution path attached.
CereBrumha automates that discovery, and then keeps going into build.
The Four Things You Interact With
DiscoveryX
90-Min Mapping
FrontX
Persona UI/UX
BackX
Agent Prod
VerticalX
Pre-built algorithms across 20 industries
1. DiscoveryX: The ninety-minute discovery
An AI-led session that maps your enterprise processes, designs agents, workflows, and agent-to-agent interactions. Produces a board-ready ROI framework covering value, time to deploy, and cost to deploy in 90 minutes instead of eight weeks.
2. FrontX
A UI and UX generator built on design-thinking principles. It demonstrates exactly what each persona receives once discovery is put into action.
3. BackX
Builds real production-grade agents when you are ready, or connects agents already built elsewhere, using CereBrumha as the orchestration and navigation layer over them.
4. VerticalX
Pre-built agentic algorithms that assemble directly from discovery. Includes vertical solutions across 20 industries plus horizontal solutions for five core functions.
The Three Things Underneath
5. Adaptive Change Landing Zone: Ingestion with a purpose. Data products map directly to the business problem.
6. Universal Agentic DNA: Patent-pending framework where every agent is an instance of the same class.
7. Agentic Swarms: Agents roll out as enablers around people, collaborating across domains.