What we take on.

Six practices

• AI in production

  Agents, classification, and enrichment built into the systems your team already uses, then run in production and kept running as the models change.

• Data and reporting

  Data architecture, warehouses, pipelines, and vector retrieval on Supabase, GCP, or AWS, built to feed both your dashboards and your AI.

• Strategy and planning

  Workflow mapping, technology audits, tool selection, and build-vs-buy analysis, written up as a plan you can build from before you commit budget.

• Platform setup and migration

  Platform configuration, data migration, training, and go-live support, with the team kept on past launch until the platform is in daily use.

• Integrations and automation

  Integrations, workflow automation, APIs, and custom connectors between the tools you already run, monitored after launch so failures get fixed before users notice.

• Custom software

  Apps, portals, dashboards, and internal tools for the work your platforms cannot do, built in your own accounts and maintained on the retainer.

One team

One retainer covers all six.

Every practice above is delivered by the same 30+ person team under one contract, with one account manager as your point of contact, so there are no separate vendors to manage.