AI Agent Workshop · 1 day

From AI ideas to one agent you can see working.

In one working day we find the AI use cases worth doing in your business, agree what data an agent may touch, and show a working prototype on your own systems, so the next decision is easy.

1 day, on site or remoteUp to 10 peopleWorking prototypeRoadmap included

Plan your AI Agent Workshop

Tell us about your team. We reply within one business day to agree a date and the systems in scope.

Book a 30-minute call

We use your details only to reply. No mailing list unless you ask.

The day

Four sessions, one decision at the end

01 · Morning

Where AI pays

We walk your processes and score candidate use cases on value, data and risk.

02 · Late morning

Boundaries

What an agent may read, write and decide; who approves; how it is audited.

03 · Afternoon

See it working

A prototype agent on your data, built with OraDay MCP Server or WorkPlace, answering real questions.

04 · End of day

Roadmap

The top three use cases, a 90-day plan and what a pilot would cost and return.

Typical use cases

Where teams usually start

Finance

  • Explain variances and draft close commentary
  • Find AP invoices on hold and why
  • Answer “where is this payment?” questions

Operations and supply chain

  • Exception triage for late orders and shipments
  • Supplier and item data-quality checks
  • Daily briefings from ERP data

Delivery and IT

  • Oracle Fusion SQL and report questions in plain English
  • Test-case generation for quarterly updates
  • Proposal and RFP drafting from your own knowledge base

Who should attend

  • A business sponsor who owns the outcome
  • Process owners from the areas in scope
  • IT or security, to agree data boundaries

You leave with

  • A ranked list of use cases with value and risk
  • Agreed data boundaries and governance
  • A working prototype you saw on your data
  • A 90-day roadmap and pilot proposal
Questions

Before you ask

Do we need clean data or a data platform first?

No. The prototype reads from the systems you already have, through governed read-only access. Data gaps found on the day go into the roadmap.

Which AI models do you use?

Usually Claude, and other leading models where they fit. Agents run with your data boundaries, and nothing is used to train public models.

Can it be remote?

Yes. Remote works well as two half-days; on site works best as one full day.

How is it priced?

A fixed fee agreed before the day, once we know the team size, location and systems in scope.

One day to decide where AI agents pay off for you.

Plan a workshop →Book a 30-minute call
Also from OraDayForce
Oracle Fusion Readiness CheckTwo-week health check of your Fusion pods, updates, integrations and reports, with a 90-day plan.Finance AI PilotSix weeks, one finance process, an AI agent on read-only Fusion data, measured against today.Quarterly Update Readiness ChecklistFree PDF: the checks to run before each Oracle Fusion quarterly update reaches production.