Our proprietary systems.

Our playbooks: a decade of scaling Flipp, distilled into something that works.

People

Jarvis

Shared team context, automatically

An AI chief of staff connected to each person’s own agents. What people are working on, and where they need help, is shared without anyone writing a status update.

The team uses that shared context to make business and team decisions — so alignment to company goals is something you can see, not something you ask about.

  • Weekly team digest, written for you
  • Private, shareable and NDA tiers
  • Goals that flow down to the work

CXP runs its own team on it.

Process

CXP AI Playbook

Intent to production, fully documented

Our AI SDLC. Business intent, product decisions and engineering build plans are written down before anything gets built. Code review, test automation, maintenance and incident handling are built in, not bolted on.

We run it for tech builds and for other business initiatives — the discipline is not limited to software. Teams that have their own developers can be trained on it.

  1. Intent
  2. Spec
  3. Plan
  4. Build
  5. Review and test
  6. Run and maintain
  • Intent before code
  • Automated review and testing
  • Incident handling built in

Specs, build plans, code review, tests and incident handling — automated.

Systems

CXP Agent Platform

Governed runtime for every AI agent

Credentials, scheduling, orchestration, deployment and run logging, already in production. Every build starts at your business logic instead of the plumbing underneath it.

Governance is enforced by the platform, not by good intentions: keys and access live in one place, so no agent can go around them.

  • Credentials in one place
  • AI work you can see and manage
  • ROI and savings dashboard

Our own books close on it.