Connected abstract structures

Explore / Integrations

Connect the toolsalready at work.

AI becomes operational when it can receive the right context and return work to the systems your teams already use.

The point of view

Integration design determines what an AI workflow can know, what it can do and where people stay in control.

01

Models

We can work with OpenAI and Anthropic models and evaluate alternatives when the workflow requires a different balance of capability, speed, cost or deployment control.

Multi-model routing is used only when it adds a practical benefit; complexity is not a goal.

  • OpenAI
  • Anthropic
  • Task-specific model evaluation
  • Fallback and routing logic
02

Work systems

Connect AI workflows to the places where teams manage customers, projects, code and internal communication.

  • Salesforce and HubSpot
  • Slack
  • GitHub
  • Google Drive
  • Zapier
03

Data and transactions

Structured access lets a workflow retrieve context and prepare or complete bounded actions. Each connection is scoped to the minimum access needed.

  • AWS S3
  • Stripe
  • Internal APIs and databases
  • Document and event pipelines
04

Voice and messaging

Twilio and Telnyx can connect approved voice or messaging workflows to business processes. Disclosure, consent, identification, recording and opt-out requirements must be designed into the specific use case.

  • Twilio
  • Telnyx
  • Human escalation
  • Consent and suppression handling

Discuss the stack behind your workflow.

Use a free AI audit to examine the work, constraints and systems behind a responsible first implementation.