Approach

From wherever you are to fully agentic.

Five stages, run in weeks rather than quarters. You see working software on day five and a changed company by the end.

  1. 01

    Diagnose

    Days 1–2

    We meet every team, map the work, and score each workflow by time cost, risk and how ready it is for an agent. You get a ranked roadmap, not a slide of buzzwords.

    Workflow mapRanked roadmapData & security review
  2. 02

    Flagship week

    Week 1

    We build one product your whole company can use by Friday. It proves value fast and sets the patterns everything else will follow.

    Production flagshipArchitecture & guardrailsLaunch session
  3. 03

    Agent rollout

    Weeks 2–6

    Agents go live one job at a time: marketing, invoicing, compliance, reporting. Each has an owner, an eval suite and an audit log.

    Agents in productionControl planeSoftware factory
  4. 04

    Train & enable

    Throughout

    Live sessions, decks, prompt packs and videos for every role. Builders learn to extend the system themselves with Claude Code and MCP.

    Role-based trainingPrompt libraryAcademy access
  5. 05

    Compound

    Ongoing

    Agentic learning loops, monthly reviews and new agents as your needs change. The system gets better every week instead of quietly rotting.

    Eval dashboardsMonthly roadmapNew agents on demand

Questions

Things people ask us.

We use coding agents, a library of production-ready templates and a process we have run many times. Humans focus on decisions, design and review; agents do the typing.

No. We work with whatever you run today, from spreadsheets and Outlook to Azure, AWS, Google Workspace and legacy ERPs. Desktop agents can even operate software that has no API.

We use enterprise model agreements with zero data retention, deploy to your own cloud tenancy where possible, redact personal data, and log every agent action. Private open-source models are available when data cannot leave your building.

Claude is our default for agents and coding. We also use ChatGPT and open-source models such as Llama, DeepSeek and Qwen, choosing per task on quality, cost and privacy.

You keep everything: code, agents, prompts, playbooks and training material. Your team is trained to run and extend it, and we stay on call if you want us.

Move atraptor speed.

Thirty minutes. We map where you are today, pick the first agent worth building, and show you what your company looks like once AI is part of how everyone works.