Confidential client · Lead Architect · AI Operating Model
Built a specialist subsea contractor's central operating layer, Mission Control, as a Lovable + Claude + MCP stack.
A bounded 5-week Phase 1 build replacing fragmented tools with a single platform: Lovable as system of record, Claude as the AI brain, MCP for external services, Terms for governance. Two users (Owner + GM) before team rollout in Phase 2.
Context
A specialist subsea contractor with a small high-value client base and a lean team had data scattered across laptops, no CRM that fit, and a HubSpot contract that did not pay back. The opportunity was to build the foundation properly from scratch rather than layering AI on top of fragmented systems.
Challenge
Scope and deliver a central operating platform, data model, ingested historic tenders, pipeline management, voice-based field updates, Claude query layer, inside a fixed 5-week window, with a clean permissions story from day one.
Approach
- 01Reconstructed the client's operating model from a workshop with the leadership team, mapping Key Partners, Activities, Value Props, Customer Segments, Resources and Channels onto a Business Model Canvas, with green-ink baseline vs. red-ink augmentation to flag gaps.
- 02Designed an AI-led operating stack with a clear separation of concerns: a single system of record, an AI layer for query and action, external integrations isolated behind a service boundary, and a central permissions and governance policy.
- 03Sequenced the 5-week plan across Discovery, Design, Build, and Launch & Iterate, with a Discovery gate fixing Must / Could / Won't to control scope creep.
- 04Replaced the HubSpot contract with a pipeline management capability sized to the client base, ingested historic tender and client records, and shipped voice-based meeting capture for field use.
- 05Scoped Phase 2 separately, team-wide rollout, workflow digitisation per individual, and Claude Business integration so every Claude user defaults to Mission Control as context.
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