What we do

Four services. One pod. End-to-end AI delivery.

Most consultancies sell decks. We're a small, senior team that ships code inside your repo, monitors it in your prod, and trains your team to own it.

01
Service

AI Strategy & ROI

We translate AI ambition into a board-ready roadmap. Business case, ROI model, use case map, and a tools-and-techniques landscape calibrated to your industry — typically in 2–3 weeks.

  • Executive AI literacy session
  • ROI model & KPIs
  • Use case shortlist with risk × value scoring
  • MVP recommendation (often a read-only HITL flow)
02
Service

Process mapping & the AI Tracker

Most AI failures are process failures. We instrument your workflows, run the AI Tracker, and generate the report your operators will actually read.

  • Workflow instrumentation
  • AI Tracker reports
  • MCP readiness audit
  • Process change recommendations
03
Service

Forward-deployed engineering

The actual build. A senior pod embeds into your repos and ships. P0 is always an LLM proxy with monitoring, logging, and safety. P1 is MCP into the critical infra (start with git) and one product workflow migrated end-to-end with HITL.

  • LLM proxy + safety layer
  • MCP servers for git, data & tools
  • Agent orchestration
  • Observability & evals
04
Service

Adoption, training & handover

We don't disappear when the demo works. Documentation, internal enablement, and the operational rituals your team needs to own the system after we leave.

  • Internal playbooks
  • Live training cohorts
  • Documentation system
  • Adoption metrics dashboard

Want this scoped for your stack?

Schedule a strategy session