Conversation AI
Transform customer and employee interactions.
- AI assistants: chat and voice
- Contact-center integrations (IVR, chat, messaging)
- Conversational insights and analytics
Faster response, higher engagement across channels.
Solutions · Enterprise AI
Enterprise AI, built to run at scale.
We design, build and run agentic, generative and conversational AI on a governed cloud AI platform, integrated with your data, workflows and applications.
01 · The shift
Enterprise AI is not isolated models. It's systems that run at scale.
Most enterprises have AI use cases. Few have AI systems: connected to existing data, workflows and applications, and trusted in production.
Ad-hoc experimentation
Structured executionA repeatable model for AI delivery.
Prototypes that die in pilots
Production-ready systemsBuilt to run in production from day one.
Activity without a result
Measurable outcomesEvery system anchored to a business result.
02 · What we build
Three capabilities. One execution model.
Designed to work together across use cases, and to stand on foundations that keep them accurate and trusted in production.
Generative AI
Generate and process content at scale.
- Retrieval-augmented applications (RAG)
- Content generation and summarization
- Anomaly detection and insights
Automation, productivity and accessible enterprise knowledge.
Agentic AI
AI that acts, decides and executes workflows.
- AI agents for task automation
- Multi-agent systems
- Agents for personalized experiences
Complex processes automated, decision-driven operations.
Traditional AI
Predictive modelingMachine learning systemsData-driven decisioning
AI Governance
Model validation and evaluationPolicy enforcement and complianceMonitoring and feedback loops
03 · Models & platforms
Model-agnostic. Workload-driven.
As an OpenAI Select Partner and xAI Transformation Partner, we select models and platforms against your workload, evaluation results, governance and deployment needs, across OpenAI, Grok, Claude, Gemini and Vertex AI, Azure OpenAI and Databricks Mosaic AI.
04 · How we deliver
A structured approach to AI execution.
Four movements, applied the same way across teams, use cases and deployments, so every system ships, scales and earns its keep.
- 01
Discover
High-value use cases scoped against measurable outcomes.
- 02
Design
Scalable AI architectures, modeled before a line of code.
- 03
Build
Production-ready systems, assembled on Jo Factory.
- 04
Run
Monitored, governed and continuously improved in production.
The enterprise AI platform behind every Dataflix system.
Explore the Jo Platform 05 · Outcomes
Measurable impact, not promises.
Every Enterprise AI engagement is anchored to one of five outcomes, and tracked against it after go-live.
Customer & employee experience
Faster responses, higher satisfaction, less friction at every touchpoint.
Productivity & automation
Knowledge work scales without scaling headcount.
Decision velocity
Better, faster decisions grounded in enterprise data and context.
Operational cost
Token economics, model routing and process automation lower unit cost.
Reliable AI at scale
Governance, monitoring and validation keep production systems trustworthy.
06 · Customer success
From pilot to production.
Real enterprise systems in production: what was built, how it shipped and the impact after launch.
All customer stories07 · Where to start