Capabilities

Eight capabilities. One operating system.

Everything an enterprise needs to move AI from ambition to governed, production-scale operations.

AI Strategy

01

Transformation roadmaps, operating models, and use case prioritization.

Problem solved

AI investment without direction — scattered pilots and unclear priorities.

Deliverables

  • AI transformation roadmap
  • Operating model design
  • Use case portfolio

Related platforms

  • Blueprint
  • Garage

A clear, board-ready path from AI ambition to enterprise value.

AI Engineering

02

Custom AI systems, agent platforms, integrations, and production-grade applications.

Problem solved

Prototypes that never survive contact with enterprise infrastructure.

Deliverables

  • Custom AI applications
  • Platform integrations
  • Production pipelines

Related platforms

  • Foundry
  • Factory

Production-grade AI systems engineered for enterprise reliability.

Agentic AI

03

Autonomous and assisted agents that plan, reason, execute, and collaborate across workflows.

Problem solved

Manual workflows that scale linearly with headcount.

Deliverables

  • Agent mesh architecture
  • Multi-agent workflows
  • Human-in-the-loop controls

Related platforms

  • Foundry
  • Marketplace

Agent systems that take real work off human teams — with oversight.

AI Governance

04

Responsible AI, risk controls, compliance, model oversight, and approval workflows.

Problem solved

AI adoption blocked by risk, regulation, and lack of oversight.

Deliverables

  • Governance frameworks
  • Model oversight
  • Approval workflows

Related platforms

  • Control Center

Compliance and audit readiness built into every AI workload.

AI Labs

05

Innovation environments for prototyping, experimentation, and capability building.

Problem solved

No safe environment to experiment, learn, and build AI capability.

Deliverables

  • Lab environments
  • Experimentation frameworks
  • Capability programs

Related platforms

  • Garage
  • AI Academy

A permanent innovation engine inside your organization.

AI Factory

06

Repeatable systems for building, deploying, and operating AI at scale.

Problem solved

Every AI project starting from zero — no reuse, no repeatability.

Deliverables

  • Delivery playbooks
  • Reusable components
  • Deployment automation

Related platforms

  • Factory

AI delivery that gets faster and cheaper with every deployment.

AI Marketplace

07

A catalog of agents, accelerators, templates, and reusable AI assets.

Problem solved

Rebuilding what already exists across teams and projects.

Deliverables

  • Agent catalog
  • Accelerator library
  • Template collections

Related platforms

  • Marketplace

Weeks of build time replaced by proven, reusable assets.

AI Operations

08

Managed operations for monitoring, governance, performance, and continuous evolution.

Problem solved

AI in production with no one accountable for how it behaves.

Deliverables

  • Managed monitoring
  • Performance management
  • Continuous evolution

Related platforms

  • Control Center
  • Factory

Governed AI operations without building an internal ops function.

AI Operations

Operate, optimize, and scale

After go-live, GFF AI runs, monitors, and improves your AI systems — keeping agents governed, models performant, and operations scaling with the business.

Managed AI operations keeping enterprise AI systems running, optimized, and scaling.