All case studies

AI Systems · Product Engineering

XTERNAL

Production AI systems, agents, and automation for operations, marketing, education, and internal service desks.

Xternal AI · Product walkthrough

See how Xternal works.

From one costly workflow to a production AI system your team can run, measure, and own.

Opportunity mapped

Find the work worth automating

Xternal starts with a fixed-scope opportunity map: understand the workflow, measure its baseline, and decide what AI should improve and what should stay human.

XTERNAL AI / 01Opportunity mapped
Timebox
2 weeks
Output
Prioritized roadmap

Xternal builds production AI systems around the workflows companies actually run. Engagements move from a fixed-scope opportunity map to a measured pilot, then scale validated systems with the integrations, controls, documentation, and training teams need to operate them confidently.

Challenge
Teams need AI systems that improve real workflows without adding another expensive platform or opaque experiment.
Outcome
Created an ownership-first path from one costly workflow to a production AI system the client can run and measure.

Decisions

  • Map the workflow and measure its baseline
  • Pilot the highest-value opportunity using real systems and data
  • Scale what works, then document and transfer ownership

Architecture

  1. Opportunity map
  2. Measured pilot
  3. Production integrations
  4. Controls and auditability
  5. Documented handover

What changed my thinking

  • Start with the workflow, not the model
  • A pilot needs a baseline to prove value
  • Documentation and handover are part of the product
xternal.us
Open live demoOpens the real xternal.us website in a new tab
AI AgentsAutomationFull StackIntegrationsAI Governance
View all case studies