Private enterprise AI workshops

Turn AI learning into decisions, architecture, and delivery.

Choose an executive, product, GenAI, agentic AI, or DataKnobs platform workshop. Each format is designed to leave your team with reusable patterns and a concrete next-step plan.

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Executives + technical teamsPrivate / tailored agendaStrategy + hands-on options
1
Align on the outcomeStart from business decisions, product goals, users, risk, and the data/context the AI will need.
2
Work through the architectureConnect models, retrieval, agents, data products, evaluation, governance, and operations.
3
Apply it to your environmentUse your domain, constraints, and target workflows rather than generic examples.
4
Leave with a playbookCapture decisions, open questions, ownership, success measures, and the delivery backlog.

Choose by audience

The right workshop depends on the decision you need to make.

An executive team needs portfolio choices and operating-model clarity. A delivery team needs architecture, implementation patterns, evaluation, and production controls.

E

Executive alignment

For leaders deciding where AI creates value, what must be governed, and how the organization should move from experiments to a portfolio.

  • Use-case portfolio and prioritization
  • Architecture choices without vendor hype
  • Governance, risk and operating model
  • Investment and rollout decisions
B

Build with your team

For data, AI, engineering and product teams that need to design or build a real assistant, agent, data product, or workflow.

  • Reference architecture
  • Hands-on patterns and examples
  • Evaluation and release gates
  • Production backlog and ownership
D

Adopt DataKnobs

For teams evaluating Kreate, KONTROLS, KNOBS and ABExperiment against an existing enterprise stack.

  • Platform mapping
  • Integration and governance model
  • Solution deep dives
  • Adoption plan

Workshop catalog

Pick the closest starting point; we tailor the depth.

The formats share a common foundation—business value, context/data, architecture, evaluation, governance, and operations—but emphasize different decisions and skills.

1
Executive

Executive AI Workshop

For CAIOs, CDOs, CIOs, CTOs, product and innovation leaders. Align on use cases, architecture, governance, operating model, and an actionable AI portfolio.

  • Prioritize AI investments by value and risk
  • Understand RAG, agents, data products, evals and governance
  • Leave with a leadership-ready decision framework
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2
Data products

Build AI Data Products

For product, data, analytics, and engineering teams turning enterprise data into reusable AI-powered products.

  • Product thinking for data + AI
  • RAG and agent patterns
  • Lineage, evaluation, controls and productionization
Discuss this workshop
3
GenAI

LLM Apps & RAG

For teams building knowledge assistants, copilots, and LLM-powered workflows.

  • Retrieval design and grounding
  • Prompt/model evaluation
  • Tool use, guardrails and production UX
Discuss this workshop
4
Agents

Agentic AI: Design, Build & Operate

For teams moving from chat to tool-using, stateful workflows and autonomous execution.

  • Agent architecture and orchestration
  • Memory, state, tools and approvals
  • Evals, observability, safety and operations
Discuss this workshop
5
DataKnobs platform

DataKnobs Product & Solution Workshop

For teams evaluating or adopting Kreate, KONTROLS, KNOBS, and ABExperiment.

  • Platform mapping to your environment
  • Two end-to-end solution deep dives
  • Adoption blueprint and next-step backlog
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What you leave with

Artifacts your team can use after the session.

The goal is not to finish with more AI vocabulary. The goal is to reduce uncertainty and accelerate a real delivery.

1

Use-case decisions

Prioritized opportunities linked to users, measurable outcomes, data requirements, and risk.

2

Architecture blueprint

A target pattern covering context, models, RAG/tools/agents, interfaces, controls, and operations.

3

Evaluation & governance plan

Quality metrics, test datasets, human review points, release gates, security/privacy controls, and monitoring.

4

Delivery playbook

Next steps, owners, dependencies, open decisions, proof-of-value scope, and path to production.

Designed for real enterprise constraints

Bring the people who own the decision and the people who must deliver it.

Workshops can be leadership-heavy, technical, or mixed. We recommend a small cross-functional group when the goal is to move directly into execution.

CAIO / CDO / CIO / CTOProduct & Innovation LeadersData & AI LeadersEnterprise ArchitectsML / AI EngineersPlatform EngineeringRisk / Governance Stakeholders
Best use of the workshop

Bring one or two real workflows, the relevant data/context, known constraints, and a definition of the business decision you want to improve. We can use those as the working material for the session.

Tell us the decision your team needs to make.

Share your audience, domain, team size, current maturity, and target outcome. We’ll recommend the workshop format and propose an agenda.

Request a workshopView executive workshop